AI and machine learning are like an unstoppable tidal wave in today’s world. We’ve already seen the crest of that wave appear over the horizon with increased automation in businesses and the emergence of apps like ChatGPT. But in the coming years, the wave will engulf the world, making AI big business.

That’s supported by statistics from Statista, too, with reports that the AI market that was worth $200 billion (approx. €185 billion) in 2022 will be worth a staggering $2 trillion (approx. €1.85 trillion) in 2030. The point is that massive growth is coming in AI, and the right Master’s in AI is the key for you to be a part of that growth rather than getting stuck in an industry that gets consumed by it.

Top European Programs for Masters in AI and ML

In choosing the MSc artificial intelligence programs that appear on this list, we looked at factors ranging from the quality (and variety) of course content to who provides the degree. The three courses highlighted here are among Europe’s best to offer to European and overseas students.

Master in Artificial Intelligence (Universita di Bologna)

Though it’s held in Italy, this Master’s program is delivered in English as part of Universita di Bologna’s computer science program. It’s an on-campus course, meaning you’ll have to move to Bologna to attend.

The course provides a solid grounding in the foundations of AI over two years. You’ll get to grips with topics like machine learning and natural language processing, in addition to touching on the ethical and social issues that the rise of AI brings to the table.

The course is welcoming to international students, as it currently has a 77% ratio of international students who don’t come from Bologna. To apply, you must complete an application on the Studenti Online program, along with a mandatory form. Failure to follow this procedure leads to your application being discarded. Applicants don’t necessarily need to hold a Bachelor’s degree, though they must demonstrate a transcript of record that shows they have earned at least 150 ECTS or CFU credits in majors like computer science, mathematics, statistics, and physics.

The course page boasts that 90.5% of its 2021 graduates were happy with their degrees. It’s natural to assume most of these graduates leveraged their Master’s in artificial intelligence to move into careers in the field.

Master in Applied Data Science & AI (OPIT)

If you want to master artificial intelligence with a sprinkling of applying that mastery to the data science industry, OPIT’s course is right for you. It’s an 18-month course (though a 12-month fast-track version is available) that is fully online and delivers 90 ECTS credits. The first term covers the foundational aspects of AI, including subjects like machine learning and data science. But the second term stands out as it moves study from the theoretical to the practical by challenging you to solve real-world problems with your knowledge.

As an online program, it’s available to anybody anywhere, with entry requirements also being flexible. You’ll need a BSc degree, even one from a non-technical field, and should demonstrate English proficiency up to the B2 level with appropriate certification. Don’t worry if you don’t have an English language certification because OPIT offers its own that you can take before registering for the course.

Career-wise, the course is a good option because it occupies an interesting middle-ground between theory and practicality. The second term, in particular, equips you with skills that you can apply directly in fields as varied as IT business analysis, business intelligence, and data science.

MSc in Advanced Computer Science (University of Oxford)

Though it’s not marketed directly as a Master’s in machine learning and artificial intelligence, the University of Oxford’s program gives you excellent qualifications in both. It’s also delivered by an institution that EduRank names as the best for AI in the UK, and sixth-best in the world. The course examines advanced machine learning and computer security techniques, focusing on computational models and the algorithms behind them.

It’s a full-time program demanding 35 hours of weekly study, 15 of which you’ll spend on campus with the other 20 dedicated to self-study. It’s also a tough nut to crack for applicants, as the University of Oxford has a low 18% acceptance rate. You’ll need a first-class undergraduate degree with honors (or an equivalent) in mathematics or computer science to stand a chance of getting into one of the UK’s most prestigious universities.

Those tough entry requirements pay off later on, though, as the words “University of Oxford” on a CV immediately make employers stand up and pay attention. The wide-ranging approach of the program also means you’re not focusing solely on AI, opening up career opportunities in other fields related to math and statistical analysis.

Data Science Master – Europe’s Best Options

Data science is an industry that requires you to translate your understanding of algorithmic theory to transform complex data sets into actionable insights. It’s also an industry that’s making increasingly heavy use of AI tools, making a Master’s in data science a great companion (or alternative) to the best artificial intelligence Master in Europe. As you noticed above, OPIT’s MSc AI program includes elements of data science, though the two programs here (covered in brief) are excellent choices as standalone programs.

MSc Data Sciences and Business Analytics (Essec Business School)

This hybrid course lasts for either one or two years, depending on your background, and focuses on the application of data sciences in a business context. It’s also ranked as the fourth-best Master’s in business analytics in the world by QS World University Rankings.

That high ranking is backed up by the university’s own statistics, which state that over half of its students get jobs before they even complete the course. Essec has a 100% career success rate for graduates in less than six months from completion of the Master’s, making this a great choice for career-focused students. Google, Amazon, JP Morgan Chase, and PwC count as some of the top recruiters that keep their eye on graduates from this program.

Admission requires a degree in a related technical subject, such as engineering, science, or business, from a leading university. That degree also impacts the version of the program you take, as a three-year BSc means you take the two-year Master’s, while those who have a four-year BSc under their belts take the one-year version, assuming they meet other requirements.

Data Science, Technology, and Innovation (University of Edinburgh)

With over 13,000 international students, the University of Edinburgh welcomes overseas students who want to expand their knowledge. Its MSc data science program is no different, buoyed by the fact that it’s an online course that doesn’t require you to move to the less-than-sunny climate of Edinburgh.

It’s a part-time program that relies on self-study, though it provides you with plenty of interactive resources to help along the way. The program is something of an umbrella course as it focuses on equipping students with the knowledge they need to enter the data science field across industries as diverse as medicine, science, and even the arts.

You’ll need the equivalent of an Upper Second-Class Honors degree that has elements of programming before applying. Ideally, you’ll also have evidence of mathematical skill, either through taking math classes in your undergraduate studies or by demonstrating the equivalent of an English A-Level in math through other qualifications.

Factors to Consider When Choosing an Artificial Intelligence Master’s

The five programs highlighted here all help you master artificial intelligence, with many also providing a practical grounding that puts you in good stead for your future career. But if you want to do more research (and that’s always a good idea), the following factors should be on your mind when checking other programs:

• Course Curriculum – The content of your course impacts what you can do once you have your MSc under your belt. Focus on programs that teach tangible skills applicable to the field you wish to enter.
• Faculty – Always check the credentials of the program’s creators and administrators, particularly in terms of industry experience, to confirm they have the relevant tools.
• Tuition and Financial Aid – Master’s programs aren’t cheap (you’ll pay several thousand euros for even an online course), so check you can budget accordingly for the program. Many universities offer financial aid options, from scholarships to student loans, that can help in this area.
• Location – The location isn’t really an issue if you take an online course, but it impacts your decision if you decide to study on-campus. Remember that you’ll spend at least a year of your life on the course (often two years) so you need to gel well with the place in which you’ll live.
• Networking and Industry – Does the course provider have connections to major industry players? Does it offer career advice, ideally via a specialized office or program? These are the types of questions to ask when assessing a university’s capacity for networking and career advancement.

Become a Master in Artificial Intelligence

A Master’s degree in artificial intelligence is your entry point into a growing industry that’s already on the verge of taking the world by storm. That is, assuming you choose the right program. The five highlighted here all land in the “right program” category by virtue of the tuition you receive, the reputation of the institution, and their accessibility to European and overseas students.

Research each program (and any others you consider) extensively before making a choice. Remember that it’s not always about the course or its reputation – it’s about how the course helps you achieve the specific learning goals you need to achieve to get ahead in your chosen career.

As a data scientist, you bridge the gap between the data a company collects and the actionable insights that the company must extract from this data to succeed. That’s reflected in the salary you can command, with Glassdoor showing us that the average salary in Germany for a data scientist is €63,500, with the potential to hit the €80,000 range.

But you can’t turn up at a company and simply proclaim yourself a data scientist. You need to master the analytical and algorithmic tools data scientists use, along with a solid foundation in the AI technologies pervading the data science space now and in the future. An MSc data science program helps you develop those skills, and this article looks at four of the best (two each for on-campus and online programs) to consider.

Factors to Consider When Choosing a Data Science Master’s Program

Before taking the plunge and applying for a data science Master course, you need to get your feet wet with a little research. Consider the following factors, ranging from the course’s content to its ability to help you land a job.

Program Reputation

A good reputation, both for the program and the institution that provides it, can make the difference between getting a call for an interview or having your CV end up in the trash. Look for accredited universities that deliver courses with provable results.

Curriculum

While everyone who studies for a Master’s in data science has the main goal of being a data scientist, the area you wish to work on impacts your decision. Check the course curriculum to ensure you’re getting what you need on the theoretical, practical, and specific industry levels to make the course worthwhile.

Faculty Expertise and Research Opportunities

Any qualification you earn is only as good as the people behind the course providing that qualification. For a Master’s degree, look for faculty that has demonstrable industry experience, a solid track record of teaching, and the ability to provide research opportunities you can use to beef up your CV.

Industry Connections

As nice as the piece of paper you get upon completing a degree may be, what’s nicer is when that piece of paper comes from a course that gets you directly into a career. Look for established industry connections with big players and an alumni network filled with students who’ve gone on to work in the types of roles that appeal to you.

Program Duration and Flexibility

Life often gets in the way of education. Having commitments to work, family, and personal endeavors can make a full-time course unfeasible. Look for a course that fits around your schedule, whatever that may be, and offers enough flexibility for you to commit time when you can.

Top On-Campus MSc Data Science Programs

Being on campus during your studies gives you a chance to participate in a university’s research projects in person. Plus, you’ll work directly with faculty and meet peers who share your passion for data science and may have a few entrepreneurial ideas for you to latch on to. These are the two best data science Master course options for those who want the on-campus experience.

Master’s in Data Science (ETH Zurich)

Developed by an institution that consistently ranks as one of the world’s top 10 providers of computer science education, this course combines theory with practice. You’ll learn about the concepts underpinning data science and how those concepts apply to industries as diverse as medicine, finances, and environmental research. But the true standout is ETH Zurich’s Data Science Laboratory, where you’ll put your theoretical knowledge into practice by experimenting with real-world data science problems.

The course is delivered in English, meaning you must provide a certificate of English language proficiency at level C1 or higher to apply. Assuming you meet the language requirements, you’ll also need a BSc (or equivalent) offering at least 180 ECTS credits in a technical subject, such as computer science, physics, or math. You’ll pay CHF 730 (approx. €749) per semester for the two-year course, with the program taking no more than eight semesters to complete. Hitting the minimum four semesters means you pay about €2,996 in total, depending on the CHF-to-euro exchange rate.

Master of Science in Data Science (University College London)

University College London (UCL) offers a choice between a one-year full-time program and a two-year part-time program, with international students usually paying more than UK-based students. You need to shell out £38,300 (approx. €44,000) for this Master’s in data science. The course may seem expensive for those on a budget, though help is offered through UCL’s Financial Assistance Fund for Postgraduate Students. You’ll only get access to this fund if you can demonstrate that you’re in financial hardship and have taken all available provisions (such as applying for a student loan) available to escape that hardship.

Moving away from the unpleasantness of such high tuition fees, UCL delivers a data science program that starts with the basic theory of machine learning and ends with a research project to demonstrate your knowledge. Admission is tough – the university received 20 applications per available place in 2022. But you get a degree with accreditation from the Royal Society of Statistics if you’re willing to invest the money and are a proven high-performer in a technical subject.

Online and Part-Time MSc Data Science Programs

An online data science Master degree usually comes with two advantages over on-campus options – lower fees and more flexibility. These two courses stand out in the online space.

Master in Applied Data Science & AI (OPIT)

It’s the word “applied” that makes OPIT’s Master’s program stand out as it tells you that you’re going to learn so much more than basic theory in this course. That’s not to say you won’t learn theory, with topics like AI, machine learning, and problem-solving practices all on the docket in the first term of this 18-month course. But the second term challenges you to put all of that knowledge to the test by confronting you with real-world problems, followed by a third term that offers either an internship or an in-depth project.

Tuition fees vary depending on when you apply for the course. You’ll spend €6,500 when paying the full price, though early birds can get on board for €4,950, saving over €1,500 in the process. There’s also an option for a fast-tracked 12-month course (the same tuition fees apply) for people who can dedicate a little more time per week to their education. As for admissions, a BSc degree in almost any field is enough for you to get through the basic entry criteria. International students must demonstrate English language proficiency up to the B2 level, and OPIT has its own English certification program to help with that.

Master of Science in Applied Data Science (University of Southern California Online)

With the online version of its Master’s in data science program, the University of Southern California (USC) makes a top-class education available to European and international students. The selling point is simple – equip you with the skills you need to work as a data scientist. To do that, the course starts with the basics of Python and how to use this popular programming language to navigate your way through complex datasets. As you progress, you’ll face more real-world problems in data management and visualization that echo those you’ll find in industry.

The online program is offered as a full-time two-year course or part-time three-year version, and you can expect to pay $2,424 (approx. €2,240) per credit unit. A successful applicant will usually have a BSc in an engineering-related course, or one in computer science, math, statistics, or a similar numbers-centric field.

Tips for a Successful Application to a Top MSc Data Science Program

Maybe you’ve found the perfect Master’s in data science among the four in this article, or you have your eye on a different course entirely. Either way, you have a hurdle to jump – the application process. Follow these tips to craft an application that increases your chances of being the student who gets chosen from applicant pools that can number in the hundreds.

• Craft a strong personal statement to show your university of choice who you are as a person away from whatever accomplishments you list on your CV.
• Get recommendations from appropriate people (ideally previous teachers or employers in data science-related fields) to show you have people who can vouch for you.
• Demonstrate relevant work experience wherever you can (internships are your friend) or showcase academic projects related to data science.
• Spend time preparing for interviews by learning as much as possible about the interviewer and their process.
• Ensure you meet the minimum requirements regarding English language proficiency and previous degree-level experience.

Online or Off – Find the Data Science Master Degree That Works for You

By pursuing a data science Master course, you set off on a journey that prepares you for a future where Big Data (and the models that parse through that data) are king. Each of the four programs here prepares you for that future, albeit in different ways, and each puts you in line for a career that averages in the high five figures and has the potential to grow even further.

Anybody who’s ever given ChatGPT or a similar AI-powered software a whirl has seen machine learning in action. Today, we’re on the cusp of a computational revolution as computer systems are being taught to do more than simply follow processes. They can learn just like humans though they can only do so using algorithms and models designed to show them what to learn and how to draw conclusions.

Those who can master machines, or more accurately, the concepts of building digital brains for machines, stand to enjoy long and lucrative careers. Glassdoor tells us that the average machine learning engineer picks up €70,318 in Germany alone, with senior-level engineers picking up close to €90,000. But to get to the point where you can work in this field, you need a Master’s in machine learning to demonstrate that you know what you’re doing. This article looks at three of the best programs for European and international students.

Factors to Consider When Choosing a Masters in Machine Learning Program

Before we dig into the courses, it’s important to highlight what we’re looking for. After all, a certificate needs to be worth more than the paper on which it’s printed, serving as tangible proof that you have the machine learning chops prospective employers desire.

• University Reputation – A certificate from a university with a bad reputation is like word-of-mouth from a shyster – nobody trusts it. Any institution you choose needs to have a stellar reputation as a provider of high-quality programs.
• Course Curriculum – The general concept of machine learning branches off into many different paths and specializations, each of which takes you in different career directions. By examining the course curriculum, you confirm that your program leads you down the right path rather than being something that’ll force you to course-correct in the future.
• Faculty Expertise – The people who teach you need to have roots in the machine learning sector. Those roots can come from their experience in industry, academic success, or research, but they need to be there if your teachers are to provide the fuel to grow your academic seed.
• Industry Connections – Machine learning already permeates through any industry that relies on data (i.e., almost all of them), so you want a university that offers links to employers. Look for internship programs, lecturers with a history of real-world experience, and careers departments designed to help you get ahead.
• Tuition Fees – There’s no getting around the fact that a Master’s degree in any subject sets you back a few thousand euros. How many thousands depends on the nature of your course and the institution, so look for something that’s affordable and (where applicable) can provide financial aid.

Top Masters in Machine Learning Programs

With what to look for established, it’s time to look at a trio of Master’s in machine learning courses that fit the bill when examined under the lens of the above five factors.

Master of Science in Machine Learning and Data Science (Imperial College London)

Imperial College London has always held a high reputation in the UK (it was a fixture on the old show “University Challenge”) and its Master’s degree courses allow you to piggyback off that reputation. This Master’s is a 24-month program that’s offered 100% online, making it as accessible to international students as it is to English ones.

The program starts you off with theory and ethics, helping you understand the programming techniques and math that go into designing machine learning models. By the second year, you’ll start getting your feet wet with practical projects, develop mastery of unsupervised learning, and take on research projects to show you can apply what you’ve learned. The faculty has wide-ranging experience, led by Professor Michael Bronstein, the university’s Chair of Machine Learning and Pattern Recognition. His expertise has been called upon by the likes of the University of Oxford and Project CETI, meaning you’re in good hands from the course creation and guidance perspectives.

The downside is that this is an expensive course, costing international students £16,200 per year for a total of £32,400 (approx. €37,310 as of time of writing). That’s money well spent, considering you get a degree from a university that ranks sixth in the QS World University Rankings and has an alumni network that stretches to over 200,000 former students and faculty members. Financial assistance for those high tuition fees is available for Imperial’s Student Support Fund and Global Relief Fund, though both are only available to students who face unexpected financial hardship.

Master in Management of AI and Machine Learning (UBI Business School)

From a course focused primarily on theory, we move to one that takes a much more business-centric focus. UBI Business School has five-star ratings across the board from QS University World Rankings and delivers courses that help students harness their knowledge to meet the demands of modern industry.

Creating digital leads is the stated goal of the program, which it highlights through a curriculum developed by some of the world’s leading tech companies. The idea is simple – ask companies what they want and let them design a course that teaches it. First-stage students start with modules focusing on the psychology and ethics behind modern technology. By the second stage, those who choose the AI and machine learning specialization move into the fundamentals of AI, neural networks, and applying Python to large datasets. Finally, this MSc machine learning concludes with a management project, where you’ll complete a thesis and work directly either with an existing business or in the university’s Venture Creation Lab.

Tuition may be a sticking point because you need to pay €11,900 for the course, though you can get a discount if you pay upfront. UBI also offers scholarships based on merit and for special groups (i.e., people with special political associations). International students can also benefit from global inclusion and refugee scholarships designed to make education more accessible. The teaching staff, led by Dean and Professor Gaston Fornes, includes people who have over 15 years of professional experience, five of which are spent in senior leadership roles.

Master in Applied Data Science & AI (OPIT)

Don’t let the lack of the term “machine learning” in the degree’s name fool you – OPIT’s course leans heavily into machine learning. In the first term alone, you’ll learn about feature engineering, different machine learning models, and how to visualize data through Python and relevant coding libraries. But you’ll learn all of that in the context of how machine learning applies in data science, making the program ideal for practical people with one eye turned toward a data science career.

That focus on practicality continues in the second team, where you can study the applications of machine learning more directly. The third (and final) term is your thesis, which is your choice between a research project or an internship with a real-world company. Speaking of associations with companies. OPIT’s team of teachers boasts experience working with some major players, with former Google and Microsoft employees among their numbers. Again, that feeds into the applied approach brought to this Master’s in machine learning as you’ll learn from people who’ve actually applied what they’re teaching you.

Tuition fees are also reasonable for this 18-month course. Most can expect to pay €6,500, though early bird discounts are on offer to bring the price closer to the €5,000 range if you apply several months before the October intake. You can also pay in installments.

Other Notable Masters in Machine Learning Programs

The three courses highlighted above all offer something different, with one being more theory focused, another taking on the business angle, and the third falling somewhere in between. But beyond those three, here are a few more good MSc machine learning universities to consider.

Carnegie Mellon University

As one of the world’s top-ranked AI institutions, Carnegie Mellon is ideal for those who want to study in the United States. Learning from top researchers gives you a solid pedigree that makes you more desirable to employers after your studies.

University of Oxford

The University of Oxford’s low 18% acceptance rate belies its reputation as the UK’s foremost academic institution. Simply having the word “Oxford” on your CV opens doors that other degree programs can’t.

KU Leaven

Don’t let KU Leaven’s reputation as one of the oldest Catholic universities in the world trick you into thinking it’s not the best place for the sciences. It’s a world leader in research, especially in AI and biomedical science fields.

Guide the New Wave of Machines With an MSc Machine Learning Degree

By choosing to pursue a Master’s in machine learning, you’ve put yourself on track for a career that will be lucrative and has the potential for enormous growth as more companies adopt AI. You’re also getting yourself in on (or near) the ground floor of a metaphorical building that’s going to be so high that we may not ever see the top.

The three courses here (plus the universities touched upon at the tail end of the article) offer differing paths into machine learning. But all three give you the same result – an MSc machine learning qualification you can use to build a superb career.

You could say that data science is the driving force behind our modern world. Digital technologies are responsible for how we work, play, and socialize, and data science impacts all those areas. This field deals with how computer systems work, learn, and connect through networks. As such, the demand for data science advancements keeps growing.

Unsurprisingly, industries worldwide require more and more data science experts. Many job openings call for people with advanced degrees – a basic knowledge of data science is no longer a considerable advantage in the job market.

Today, getting a master’s degree in data science represents a surefire way to start a lucrative career. These degrees pave the way towards better-paid jobs and higher positions. Best of all, you can get an MSc data science online.

The advantage of an online master’s degree data science program is its convenience and opportunities. You can get a prestigious degree from your home, without having additional complications of moving to campus. Plus, the degree you obtain may come from a leading university, gaining you even more favorable credentials.

Let’s look at the best online data science master’s programs and what they have to offer.

Criteria for Ranking

Finding a quality program for MSc data science online requires a detailed examination according to several criteria. When creating our list, we considered the following in particular:

• University reputation and accreditation
• The content of the courses and program curriculum
• Online program accessibility and flexibility
• Available resources and student support
• Pricing and financial aid options
• Career prospects for graduates

Top Online Master Degrees in Data Science

1. Rome Business School – International Online Master in Data Science

Program Overview

The program consists of three modules. The first focuses on managerial and leadership skills based on data. The second module deals mostly with IT and data science solutions as they apply to business problem-solving.

The third module explores how your competency in data science technology reflects on data governance. The skills you’ll learn here apply to data management through specific methods and processes.

Key Features and Highlights

The International Online Master in Data Science provides the opportunity to participate in bootcamps worldwide. The locations include the U.S., Spain, Italy, and Nigeria.

Students also have the opportunity to work on real-life cases and datasets. This kind of hands-on experience will prepare you for the professional application of your data science knowledge.

Admission Requirements and Process

The admission process for this program will consist of four steps: credential evaluation, confirmation of your application, the interview, and, finally, admission.

Since the program offers introductory classes, previous knowledge of data science isn’t a strict requirement. However, experience in particular topics will count as an advantage in your evaluation.

Cost and Financial Aid Options

Participating in this program costs €6,700. The Rome Business School offers several payment options. First, students can pay in six installments after enrolling. The installments are interest-free.

Next, paying the installments before starting the course makes you eligible for a 5% discount. Finally, paying the entire sum before enrollment comes with a 10% discount.

Scholarships are also available for this program and will be determined according to the applicant’s motivation, experience, and personal profile. Eligible applicants may choose from seven scholarship types.

Career Prospects for Graduates

The program allows students to connect with industry-leading companies, learning from the best while creating meaningful connections. The Rome Business School offers a career service with soft skills, individual coaching, and other training.

2. European Leadership University – Professional Master in Data Science & Leadership

Program Overview

As a data science program with a particular focus on leadership, this program focuses on combining the two disciplines. In other words, learners become more competent as leaders through data science skills.

The program lasts for 19 months, including data skills like machine learning, Python programming, and NLP. On the leadership side, the courses teach coaching, communication, accountability, and similar skills.

Key Features and Highlights

The faculty team at the European Leadership University consists of respected academics and experts who actively practice data science. Besides the proven industry experts and their knowledge and guidance, this program has a notable distinction: it offers two certificates and a data science MSc degree.

The first certificate you’ll receive is in data science after nine months of study. The next is the certificate in leadership and action research, which will become available after month 14. Lastly, doing the final project will award you the MSc degree.

Admission Requirements and Process

The prerequisites for this program include a Computer Science or related undergraduate degree, statistics and programming knowledge, and proven experience in IT.

Candidates who meet these requirements will go through a four-stage application process. You’ll need to submit your application online, pass an analytical test, submit your diploma, and, finally, complete the entry test.

Cost and Financial Aid Options

The program costs €5,000. There are three payment options: installments, early bird, and a flexible plan. Installments are a straightforward option and may be paid during the study period. The early bird bonus refers to paying upfront, which makes you eligible for a 10% discount.

The flexible plan is particularly interesting. It includes a membership fee, paid monthly over a longer period. In addition to the tuition cost, there’s also a €250 registration fee that you don’t have to pay until you’ve been accepted.

Career Prospects for Graduates

The university and its programs have international accreditation, which means the degree you get here will be recognized worldwide. The institution also offers mentoring services and a talent accelerator program, intended to prepare learners for high-profile jobs.

3. European School of Data Science & Technology – MSc Data Science

Program Overview

The MSc Data Science program from the European School of Data Science & Technology is a comprehensive course focused on gaining a detailed knowledge of various data science aspects. Particular attention is devoted to programming, statistics, and machine learning.

The program has 12 courses across four semesters, with each course lasting for three weeks. The semesters are organized around particular subjects concerning data science: foundation, analytics and tools, visualization and application, and experiential learning, which contains the master thesis.

Key Features and Highlights

The curriculum for this program was created according to the latest requirements and trends in the industry. Expert teachers offer one-on-one mentoring throughout each course. The program is structured to provide relevant knowledge that you can apply immediately.

Admission Requirements and Process

To enlist in the European School of Data Science & Technology (ESDST) MSc Data Science online program, you’ll need a Bachelor’s degree. However, the degree doesn’t have to be in data science or a related discipline. Lacking a degree, you can also apply for the program if you have more than three years of relevant work experience.

Since the course is in English, you’ll need proof of proficiency with sufficient scores on IELTS, PTE, TOEFL, or another accepted test. Upon the review of your application, you’ll have an interview after which you’ll be notified of whether you’re accepted or not.

Cost and Financial Aid Options

This MSc program costs €490 per month plus the registration fee of €1,500. You can pay the program fee in monthly installments or cover the entire cost (program and registration fee) at once for a 5% discount. Additional options are to pay the entire program fee for a €1,000 reduction, or pay €4,000 initially and cover the rest in 12 monthly installments of €1,500.

It’s worth mentioning that the ESDST offers several scholarships to students who meet specific standards. The scholarships may cover from 25% to 50% of the program fee.

Career Prospects for Graduates

Besides the theoretical knowledge, this program offers plenty of practice in data science, exposing students to all facets of this discipline. The experience from the projects you do during the courses will represent an advantage in the job market. In addition, you’ll be paired with a mentor from a specific industry who can provide further career assistance.

4. University of Glasgow – Data Analytics MSc

Program Overview

The Data Analytics MSc from the University of Glasgow is a three-year program. It consists of 11 core courses and two electives. The first two years follow a pace of two courses per trimester, while the final year consists of the final project and an MSc dissertation.

The program is part-time and covers all crucial facets of data science, including analytics, machine learning, programming, and predictive modeling.

Key Features and Highlights

Renowned international experts and academics teach the courses. The part-time structure allows learners to maintain a job while studying with full freedom in setting their pace. This data analytics MSc also has a fast-track option, letting you obtain the degree in two instead of three years.

Admission Requirements and Process

To enter this program, you’ll need a Bachelor’s degree equivalent to the UK upper second class, which means a GPA of 4.0-4.5. The degree doesn’t need to be from data science or statistics, but it should include mathematics on a higher level.

Alternatively, you may substitute the degree with relevant experience in data analytics or a related field. The application for the program is done entirely online.

Cost and Financial Aid Options

The total cost of the program is £15,000 or about €17,200. Additional fees may apply during the program, but only in specific cases like applying for a dissertation reassessment. Students can apply for a UK scholarship or a country-specific loan if you’re from the UK.

Career Prospects for Graduates

This MSc program creates opportunities in particular data science fields like finance, medical research, statistics, and pharmaceutics. University of Glasgow graduates reportedly boast an enviable track record in terms of employment.

5. University of Europe for Applied Sciences – Data Science MSc

Program Overview

Built with flexibility in mind, this online master degree data science program offers two, three, or four-semester options. These award 60, 90, and 120 ECTS points, respectively. All variants include courses on data analytics, engineering, and science, while the three and four-semester programs also have data visualization and marketing analytics.

Key Features and Highlights

In addition to detailed knowledge of data science, the program teaches other crucial skills, particularly in the first semester. During that time, you’ll obtain advanced English skills, learn the foundations of programming and the Office suite, and get familiar with scientific writing.

Admission Requirements and Process

You’ll need to have completed a Bachelor’s program (not necessarily in data science) to apply to this MSc. A basic grasp of programming will also be required, although a preparatory course is available if you lack any programming experience.

The admission process will consist of an entry exam and an online interview.

Cost and Financial Aid Options

Tuition fees for EU students are expressed in monthly values: €820 per month for any curriculum. Non-EU students will pay a €10,938 yearly fee. A 15% or larger discount is applicable for early applicants. Additionally, scholarship may be available on a case-by-case basis.

Career Prospects for Graduates

The University of Europe for Applied Sciences collaborates with European, multinational, and global partners. This collaboration opens up career paths for students, including actual projects and internships with leading companies like Daimler and BASF.

Tips for Choosing the Right Online MSc Data Science Program

Choosing an MSc data science online program will require careful consideration. Here’s what you should take into account to ensure you’ve enrolled in the right program:

• Whether the program aligns with your career goals
• Flexibility and time requirement
• Faculty quality and the curriculum
• The reputation and accreditation of the university
• Fees and available financial aid

Enroll in the Best Online Data Science Master’s Program

Once you gain an MSc in data science, your job opportunities will increase. The demand for new experts in the market is always high, with those holding relevant degrees having the upper edge. If you’re certain that a career in data science is right for you, don’t hesitate to complete an MSc in one of the leading institutions in the field.

Data analytics is a science that is all about taking raw datasets and translating them into insights that you (or others) can use. Think of it as the conduit between the reams of data an organization collects and the management team. As a data analyst, you’re the person who makes sense of the numbers so management can take action.

At least, that’s how data analytics works in a business context. Switch to the research side of things and you’ll play a crucial role in interpreting the results of complex experiments by helping researchers understand the factors that lead to their results and the effects of changes they make.

Getting your start in this field usually requires you to complete a BSc in computer science with data analytics. This article looks at five of the best options provided by some of the world’s top universities.

Top BSc Degrees in Computer Science With Data Analytics Programs

In creating our list of the five best BSc computer science with data analytics programs, we considered the following criteria:

• Reputation – A good reputation is like word of mouth for a university. We looked for institutions that have an established track record of quality courses, both in the AI field and outside of it.
• Curriculum – Many computer science degrees have an analytics component but don’t focus on it as a specialization. The courses we chose put data analytics in the spotlight.
• Faculty Expertise – Who wants to learn from people who don’t have solid reputations in the data analytics industry? The people who teach you are as important (perhaps even more important) as the content they teach.
• Industry Connections – A good course is like a tree. The course itself is the trunk, which then branches off into all sorts of industries. You want a course with plenty of branches (i.e., many paths into the industry).
• Support and Resources – Data analytics isn’t a simple concept that you can pick up with a few hours of study. It’s like a vast ocean and it’s easy to get lost. The right support and resources are like a compass that keeps the student on track.

Top Programs

With the above criteria in mind, we’ve collected five great BSc computer science with data analytics programs for you to consider.

1 – Computer Science With Pathway in Data Analytics (Middle East College)

When universities come together, the result is usually a top-notch degree that allows you to draw from global expertise. That’s what you get with Middle East College’s course, as it’s offered in conjunction with the UK’s Coventry University.

It’s an eight-semester course that focuses on data collection, codification, and treatment, with as much importance placed on practical application as on academic theory. Entry requirements are strict and require:

• A General Education Certificate (GEC) or similar
• Either a General Foundation Programme (GFP) certificate or a passing grade in the university-administered MEC placement test
  • Scoring 60% or above in each component of the MEC is a must if you want to use it to replace a GFP.

The big selling point for this course is the link to Coventry University, which has been among the top 15 universities in the UK for over half a decade. That link also creates career opportunities, with the Middle East College faculty exposing you to Asian opportunities while Coventry University can provide a route into the UK for international students.

2 – Bachelor of Science in Data Science and Analytics (St. Ambrose University)

Ranked as the top data analytics program in the world by Bachelor Studies, St. Ambrose’s course is a four-year degree that offers internships to some of the world’s leading companies. This internship program is so extensive that over 75% of the university’s students end up with a work placement that can provide them with a direct route into a career.

As for the course itself, you’ll develop foundational knowledge in statistics and computing before moving on to practical ways to apply that knowledge. The course also has an ethical component, which is crucial given the potentially controversial means some companies use to collect data.

International students need to achieve the equivalent of an American 2.5 out of 4.0 Grade Point Average (GPA), making this one of the easier courses to get onto. You also have to complete a Declaration of Finances form (available via the university’s website) to demonstrate proof of funding for your studies.

3 – BSc Digital Business & Data Science (University of Applied Sciences Europe)

The Hamburg-based University of Applied Sciences Europe is among the top 25 private universities in the continent and it’s a popular choice for international students. Its BSc computer science with data analytics program is interesting because it combines the fundamentals of data science with business concepts. Beyond learning advanced programming and analytics concepts, you’ll discover how those concepts apply in fields as varied as economics and cybersecurity. Throw in some marketing and entrepreneurship modules and this is an excellent choice for the prospective start-up owner.

Entry requirements are fairly simple. You’ll need proof of a high school diploma (or your country’s equivalent), which you submit alongside a CV and demonstration of English-language proficiency. A passing grade in an IELTS or TOEFL exam should do the job for the latter requirement.

Non-EU students have an extra hurdle to jump – a tuition deposit. You have to pay €3,000 upfront, which serves as a reservation fee for the course. The good news is that this fee counts toward your full tuition, so it’s deducted from the total. Think of it as paying money upfront for a restaurant reservation, with that money going toward the final bill.

4 – Data Science BSc (Warwick University)

Ranked as the 10th-best university in the UK and in the top 100 in the world, Warwick University is a good performer in terms of pure credentials. But the school’s state-of-the-art statistics department makes it stand out, with its research department being touted as “world-leading.”

Its Data Science BSc takes in plenty of the skills you’ll use in data analytics, including how to parse through massive datasets to get to crucial information. The scope of this work is particularly impressive, with the course teaching how data analytics applies in industries as varied as finance and social networks. Studying (and even working) abroad is also offered to those who want to build their networks through their studies.

Entry requirements are stringent, with students generally expected to have at least two (and usually three) A* A-Level grades, or equivalents, to get in. The university’s website digs into more specific requirements for international students. This is an English-language course, too, so you’ll need proof of your English-speaking abilities or have to pass the university’s Pre-Sessional English Course before you’re considered for entry.

5 – BSc in Data Science and Analytics (National University of Singapore)

Ranked as the 11th best university in the world by QS University Rankings, the National University of Singapore is a trailblazer in the data analytics field. To get in, you’ll need to show the equivalent of an H2 pass in mathematics or further mathematics, which is roughly equivalent to an A grade at A-Level in the UK.

The course itself is a four-year honors program that starts by teaching you the foundational analytical methods applied in data science. From there, it branches into teaching how these concepts apply in real-world scenarios before introducing you to tools and techniques you’ll use in practical work.

Experiential learning is key to the course, with the National University of Singapore calling it “industry-driven” to highlight that this is a course that teaches you how to drive the car, as well as showing you what lies under the hood. To support this approach, the university runs its “Co-operative Education Programme” which combines academic study with several internships over four years of study.

Benefits of Pursuing a BSc in Computer Science With Data Analytics

By now, you’re probably asking yourself a big question: “Why should I study a BSc in computer science with data analytics?

Reason 1 – Develop In-Depth Knowledge

A data analytics bachelor’s degree teaches you how to use the tools and techniques needed in the field. But the theory that underpins those tools, along with the programming languages you’ll use, is near-universal in terms of its usefulness. As a result, following this degree track opens up career opportunities that extend into the software programming and computing fields, as well as analytics.

Reason 2 – Enhanced Employability

Building on the previous point, the skills you develop as part of a BSc in computer science with data analytics will make you seem like the goose that lays the golden eggs to employers. You’ll have such a varied skillset that you can lend your hand to almost anything in the computing sector. Salaries are solid, too, with data analysts earning an average of €55,000 per year in Germany alone.

Reason 3 – Opportunities for Further Education

If a data analytics BSc is the equivalent of drawing up a blueprint for a house, later educational pursuits are all about building that house into something special. These courses lay the groundwork for later education (such as OPIT’s Master in Applied Data Science and AI), in addition to making it easier for you to earn professional certifications that look great on your CV.

Tips for Choosing the Right BSc Computer Science With Data Analytics Program

Right now, you’re at a crossroads that seems to branch off into an infinite number of paths. There are so many data analytics courses to choose from that it’s hard to know which way to turn. Use these tips to ensure you pick the right one:

• Align your course selection with your career goals – if it doesn’t take you closer to where you want to be then it’s not the course for you.
• Dig deeper into what each course offers by comparing curricula to see which courses have gaps and which cover everything you want to learn.
• Location and general student life are important because you need to have a life outside of education, so pay attention to both.
• The cost of tuition can often be like a brick wall to students, but research into financial aid often helps you to find the ladder that gets you over that wall.
• If you have the opportunity, speak to faculty and alumni to discover what makes the course so special.

Keep Exploring to Find the Right Course for You

The five programs covered here are among the best BSc computer science with data analytics courses in the world, but that doesn’t necessarily mean they’re right for you. Exploration is key, as you must transform into an explorer to navigate your way toward the course that fits your needs from career, life, and passion perspectives. Make the right choices, and you’ll put yourself on course for a data-driven career that’s rewarding on both the mental and financial levels.

More than 53,000 degrees in computer science were pursued in the U.S. alone in 2020. The growth rate is 12%, and that percentage is only expected to rise. With computer science being the new trendy career path in 2023 and beyond, it’s logical to explore how a BSc in the field can help.

Whether you want to become a data analyst, web developer, network administrator or software engineer, a BSc Computer Science degree can help you kickstart a career in the ever-growing IT industry.

This article reviews BSc Computer Science subjects in each of the three years of the program, different computer science colleges, course details, and more.

What Are the Subjects in BSc Computer Science?

Most bachelor of computer science programs last three years. Below is an overview of the BSc Computer Science subjects you can expect to find in different educational institutions throughout the study.

BSc Computer Science Subjects 1st Year

BSc Computer Science subjects for first year answer the “What is BSc Computer Science” question in detail. The first year has entry-level programs that introduce the student to the world of computer science. In most colleges, you can attend these courses even if you have no experience in the field because they’re designed for beginners.

Colleges have different approaches when it comes to computer science program syllabi. OPIT is an example of a comprehensive program that offers diverse learning opportunities for students. Here are the BSc Computer Science subjects list for your reference:

• Technical English – Introduces students to basic terminology used throughout the course.
• Computer Networks – Helps students understand how computer networks function.
• Programming Principles – Students get to know how computers work and learn about basic programming tasks and concepts.
• Computer Architecture – Introduces students to computer systems, data movement, CPU, and other parts of hardware and software.
• Basic Math – Here the students receive all the knowledge in math they’ll need to build their analytical skills.
• Web Development – Students learn the science behind the internet, HTTP, and other markup languages.

BSc Computer Science Subjects 2nd Year

• Database Introduction – Basics of databases and their management systems.
• The infrastructure of Cloud Computing – Introduction to cloud computing, basic concepts, and important components.
• Programming Paradigms – Understanding how programming languages work.
• Business Strategy – Foundations of running a business in modern times.
• Introduction to AI – Introduction to the important concepts of AI so the student can understand how to use it.
• Introduction to Machine Learning – Taking the first steps toward machine learning projects.
• Cloud Development – Introduction and training to create cloud solutions.
• Digital Marketing – Better understanding of the ins and outs of online marketing and its key concepts.
• Introduction to Computer Security – Cryptography and other cyber security aspects so the student is aware of common threats and how to solve them.

BSc Computer Science Subjects and Electives 3rd Year

In the third year of BSc Computer Science, you can choose electives depending on your interest. Some subjects you can expect to find include:

• Cybersecurity – Further education in cybersecurity across systems.
• Parallel and Distributed Computing – How to create parallel and distributed apps.
• Machine Learning – A deeper focus on machine learning and the development and training of computer systems required for the projects.
• Computer Vision – Teaches how computers can read and analyze visual content.
• Cloud Computing Automation and Ops – A popular specialization, cloud computing automation and ops takes the cloud field more seriously and teaches how to automate tasks.
• Front-End Programming – This subject focuses on markup languages, libraries, frameworks, and other platforms needed to build websites.
• Mobile Programming – Creation of apps for Android and iOS mobile devices.
• Software Engineering – In-depth education in creating, designing, and maintaining software.
• Computer Science and AI Ethics – Learning how to use computer science ethically and legally.
• Game Development – Basics of game design, mechanics, interfaces, and more.

Top BSc Computer Science Colleges

If you want to study computer science at the college level, you can explore different traditional and modern programs.

• Stanford’s Bachelor of Science in Computer Science – Full-time, four years, on campus, in English. A multidisciplinary approach with different levels is available to fit students of different skills.
• East Central University Online Bachelor of Science in Computer Science – Full/part-time, two years, remote learning in English. The curriculum follows Association for Computing Machinery guidelines.
• Methodist University Online BSc in Computer Information Technology – Full/part-time, 42 months, remote learning, in English. Offering Cybersecurity and Business Information Systems specializations.
• The Global American University, BSc in Computer Science – Full-time, four years, on-campus, in English. The overall course is in math, computing, and data analysis.
• Concordia University’s BS in Computer Science – Full/part-time, eight weeks, remote learning in English. Introduction to the technology career with hands-on practice.
• Ambrose University’s Bachelor of Science in Computer Science – Full-time, four years, campus learning in English. Focus on computer architecture, application development, and software engineering.
• Opit’s Bachelor in Modern Computer Science – Self-paced, three years, online, in English. Comprehensive syllabus based on theory and hands-on practice.

Factors to Consider When Choosing a College

• The College Curriculum – The program shouldn’t be based on outdated textbooks. Rather, it should be flexible and up to date with current software design trends. The problem with traditional learning systems is that they’re mostly based on old information and materials that don’t equip students with functional knowledge.
• Reputation – The college must have a stellar reputation, easy access to the list of professors, and their publications in peer-reviewed journals.
• Required Equipment – Ensure you can afford or have access to the necessary equipment to attend the courses, especially if you consider remote learning. See whether any equipment is included in the tuition.
• Syllabus – The BSc computer science syllabus needs to contain a variety of subjects (like those mentioned above) and not only focus on one or two hard skills or theories. The curriculum should be future-proof and focused on more than just the current needs of the industry.
• Alumni Experience – Explore how college alumni are doing and find examples of their work online.
• Internship Opportunities – Does the college you like also provide internships? If not, does the curriculum offer enough hands-on practice?
• Cost – Last but not least, consider the cost of the program. Weigh up the pros and cons of each college and use your budget to make the final decision. Does the college you want to attend offer financial aid?

BSc Computer Science Course Details

BSc Computer Science duration, fees, and eligibility criteria are other important factors to consider before applying for a program.

Course Duration

A typical course duration for BSc Computer Science is two to three years. Some three-year programs offer a fast-track option allowing you to complete the degree in two years. The course duration plays an important role when planning your studies, especially if you choose the traditional learning method.

Course Fees

Bachelor of Science programs in Computer Science differ in pricing. The fees can depend on several factors:

• Reputation
• Location
• College experience
• Learning facilities
• Availability of scholarships

The most sensible approach is to compare the course fees and programs of multiple BSc Computer Science colleges so you can pick the best option that matches your budget and learning goals.

Eligibility Criteria

Different courses and universities offer different eligibility criteria. Most require completion of a 10+2 or similar science stream examination. Some colleges may include a qualifying examination or pre-entry exams. Contact the college you’re interested in attending to get detailed information about their eligibility criteria.

Many online degree programs like OPIT only offer requirements like English proficiency (B2 and higher), a high school or undergraduate degree, or previous work or education experience for credit transfer.

You can find eligibility criteria on the official website of the college in which you’re interested.

Career Opportunities After BSc Computer Science

Almost every industry deploys technology in one way or another, which means that skilled IT professionals are in high demand. With career opportunities everywhere, it’s no wonder the number of computer science students grows exponentially each year.

A Bachelor of Science in Computer Science unlocks the doors to some of today’s best-paid and in-demand jobs. They include, but aren’t limited to the following fields:

• Data Science
• Software Development or Engineering
• App and Game Development
• Web Development
• Database Architecture

Importance of Specialization in the Field

Computer science is a broad field. From building applications to analyzing data to providing security for software and companies, there are tons of specializations to choose from. Here’s why it’s important to pick one field of specialization:

• You get to acquire deep knowledge about your field of interest.
• You become more competitive and have a higher chance of finding a job to your liking.
• You unlock new research opportunities.
• You can advance in your field of specialization and come up with innovative solutions.

Skyrocket Your Career With BSc Computer Science Programs

Pursuing a BSc Computer Science degree will help you unlock numerous rewarding career opportunities with a high-income potential. You also get to be a part of a fast-developing field with unlimited prospects for further development and growth.

Choosing a reputable college and the right bachelor of computer science subjects will help ensure you make the most of your learning experience and will put you on the right track to becoming a successful IT professional.

With the high demand for computer science experts, it’s no wonder that related professions count among the best-paid jobs worldwide. If this career path sounds exciting to you, enlisting in an online computer science degree program would be the best choice.

Explore our list of suggestions of the top BSc programs in Europe and pick the one that looks like the ideal option based on your interests and goals.

Factors to Consider When Choosing an Online Computer Science Degree Program

The key factors to take into account when weighing up your MSc in Computer Science options include:

• University accreditation
• Program curriculum
• Schedule flexibility and studying format
• University faculty and student/career support
• Expenses and scholarship/financial aid possibilities

Top Online BSc Computer Science Bachelor Programs

International University of Applied Sciences

Description

The BSc Computer Science online program from the International University of Applied Sciences (IU) offers a thorough education in the field. The program includes introductory lessons in mathematics and programming, as well as specialized modules for computer science, software development, and IT security.

Key Features

• Full or part-time studying models
• Accredited program
• Recognition of previous education and experience
• Full studying flexibility

Requirements and Application

You’ll need a higher subject-related education and secondary school diploma to apply for this program. Some applicants may need to take an entrance examination. English proficiency is necessary with one of the following certificates as proof:

• Level 6 on IELTS
• 80 points on TOEFL
• Grade B Cambridge Certificate
• 95 points on Duolingo

Career Prospects

The degree from this program will open numerous career opportunities, including:

• Software developer
• Business analyst
• Project manager in software development

University of London

Description

The online computer science degree from the University of London gives you an opportunity to study with leading experts and researchers. You’ll learn high-demand skills with a particular focus on problem-solving and practical application. The program offers seven specializations in areas like machine learning, mobile and game development, and AI.

Key Features

• Study full or part-time
• Accredited program
• Performance-based or direct admission
• Flexible studying schedule

Requirements and Application

When you apply for this program, you’ll either be accepted directly based on previous academic achievements or based on previous experience in the field. Choosing the application path won’t be necessary: The institution will automatically transfer your application on the performance-based path if you lack the required prior education.

You may need to pass several exams, including a mathematics, programming, and English proficiency test.

Career Prospects

This program will help you build a strong portfolio for job applications. You can also access the university’s career service for support in your future career.

Saarland University

Description

Enrolling in the computer science bachelor degree online program from Saarland University provides access to leading tech authorities in Germany and Europe. The Saarland Informatics Campus collaborates with reputable institutions like the German Research Center for Artificial Intelligence, the Cluster for Multimodal Computing and Interaction, and the renowned Max Planck Institute.

Key Features

• Full or part-time study available
• Accredited program
• No tuition fees
• Flexibility – study at your own pace

Requirements and Application

The basic application requirement for this program will be a school certificate. The certificate must be recognizable as a qualification for university enrollment in Germany. Apart from that, you’ll need to prove your English proficiency and provide one of the following:

• Pass an aptitude test
• Provide proof of participation in an international Olympiad in mathematics, computer science, or science
• Complete an entrance test in interview form

Career Prospects

The cooperation between Saarland University and high-tech institutions gives you as a student the opportunity to interact with leading employers in the computer science field. The university also offers particular support for entrepreneurs.

Comparison of Top Online Computer Science Degree Programs

Curriculum and Course Offerings

The first two modules of each program on our list feature introductory courses in mathematics, computer science, web app development, and programming. At this stage, the curricula will have slight differences in additional courses:

• IU: Introduction to Academic Work, Intercultural and Ethical Decision-Making, Collaborative Work, Statistics, and programming in Java environments
• University of London: Software projects and web applications
• Saarland University: Perspectives in Computer Science, System Architecture, and Language Course

In module three, the programs will start differing significantly:

• IU: Focus on database management, computer networks, and SQL programming
• University of London: Specialization modules and a software development individual project
• Saarland University: The basics of theoretical computer science, algorithms, and data structure

The fourth module is where the three curricula diverge completely, focusing on different stages of computer science expertise:

• IU: Theoretical computer science, Python programming, and two projects – IT services and software engineering
• University of London: Introduction to programming, advanced mathematics, computer science fundamentals, data structures, and algorithms
• Saarland University: Concurrent programming, big data, a core lecture, plus a seminar project

In the fifth module, the IU and Saarland University programs become more closely defined, while the University of London explores the essential components of computer science in more detail:

• IU: Cryptography, Introduction to Data Protection and IT Security, two electives (out of nine available), and a seminar on computer science current topics
• University of London: Advanced programming (data, graphics, and object-oriented), software design, networking, databases, cybersecurity, and projects in Agile software development
• Saarland University: Machine learning, two core lectures (out of 22 available), and an elective course

The final module in all three programs will, of course, contain your Bachelor thesis. Apart from that, the classes offered will represent a natural conclusion of each curriculum:

• IU: Project management in Agile, computer science in society, IT law, and an elective
• University of London: Six electives (out of 12 available)
• Saarland University: One core lecture

Flexibility and Format

The IU program provides exceptional flexibility, allowing students to mix and match modules and create a unique schedule. Furthermore, the six-module structure represents the fast-track options. If you wish so, it’s possible to break down the curriculum into a maximum of 12 modules.

University of London offers learners complete control over course timing and study intensity. You can wrap up the curriculum within 36 to 72 months. Additionally, this program gives you full freedom of specialization in module six, which contains only elective lectures.

Finally, Saarland University has a part-time study track, which requires you to complete between 50% and 60% of the scheduled courses every semester. In other words, you can extend the studying time to a maximum of 12 semesters while working through the same program as full-time learners.

Faculty and Support Services

All three institutions employ faculty members with a proven track record, expertise, and advanced experience in their fields. Each program also features extensive student support:

• IU: Optional monthly live sessions covering the entire content of each course
• University of London: Guided hands-on projects and full access to all learning tools and content
• Saarland University: Mentoring services and guided lab exercises combined with the support of the guidance service and student council

Cost and Financial Aid

IU’s tuition fees will differ depending on the studying pace you choose. Full-time students will pay monthly fees of €195, while the monthly amount for part-time learners will be either €163 (48-month study time) or €120 (72 months). Additionally, there’s a €699 graduation fee, which may be subject to a discount.

University of London charges between £14,135 and £18,915 for the complete BSc Computer Science online program. The exact pricing will depend on your country, and all applicants are eligible for discounts when paying upfront. You may also pay for each module separately, in which case the installments will be between £1,113 and £1,482. Additional expenses include an application fee of £125 and an assessment resit fee of £424.

Saarland University is state-funded, which means that the institution doesn’t request tuition fees. However, there’s a semester fee that you’ll need to pay before starting each module. This fee covers administrative costs and student services, amounting to a total of €296.

In terms of financial aid, IU doesn’t offer any assistance on that front except for the possible discount on the graduation fee. The University of London has student loans for UK students and scholarships for displaced persons and refugees. Finally, there’s no financial aid for the already quite affordable Saarland University program.

Tips for Success in an Online Computer Science Degree Program

If you wish to excel in your chosen computer science bachelor degree online program, you’d do well to employ certain proven techniques. Here are some of the best tips to help you pursue your educational and career goals.

Firstly, make sure to stay organized and manage your time efficiently. Studying for an online computer science degree is a demanding task, whether you opt for the full or part-time model. Reserve enough time weekly for studying and adjust your schedule accordingly.

Next, once you’ve enrolled in a program, make the most out of the networking possibilities. Connect with other students, mentors, lecturers, and, if possible, the institution’s company partners. The connections you establish during your studies will pay dividends when starting your career.

Avoid relying exclusively on your own faculties and resources. Each institution on our list has plenty of basic and additional resources to help you along the way. Utilize those options in full and take advantage of the support structure at your disposal.

Finally, do your best to stay motivated throughout the program. This may be particularly challenging for part-time students due to the prolonged duration. Keeping your long-term goals in mind and focusing on career opportunities upon graduation will go a long way in this regard.

Apply for a BSc Computer Science Online Program Today

Choosing one of the suggested online computer science degree programs will be the first step toward a thriving career in the field. You’ll gain the necessary skills and knowledge to get professionally involved in the high-paying IT sector. Plus, the BSc degree may be the starting point for postgraduate studies.

With the potential of a successful computer science career, a certified degree represents a more than appealing prospect. Apply for a program that aligns with your interests and goals and start your professional journey in the most lucrative industry today.