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.
Related posts
Source:
- The Yuan, Published on October 25th, 2024.
By Zorina Alliata
Artificial intelligence is a classic example of a mismatch between perceptions and reality, as people tend to overlook its positive aspects and fear it far more than what is warranted by its actual capabilities, argues AI strategist and professor Zorina Alliata.
ALEXANDRIA, VIRGINIA – In recent years, artificial intelligence (AI) has grown and developed into something much bigger than most people could have ever expected. Jokes about robots living among humans no longer seem so harmless, and the average person began to develop a new awareness of AI and all its uses. Unfortunately, however – as is often a human tendency – people became hyper-fixated on the negative aspects of AI, often forgetting about all the good it can do. One should therefore take a step back and remember that humanity is still only in the very early stages of developing real intelligence outside of the human brain, and so at this point AI is almost like a small child that humans are raising.
AI is still developing, growing, and adapting, and like any new tech it has its drawbacks. At one point, people had fears and doubts about electricity, calculators, and mobile phones – but now these have become ubiquitous aspects of everyday life, and it is not difficult to imagine a future in which this is the case for AI as well.
The development of AI certainly comes with relevant and real concerns that must be addressed – such as its controversial role in education, the potential job losses it might lead to, and its bias and inaccuracies. For every fear, however, there is also a ray of hope, and that is largely thanks to people and their ingenuity.
Looking at education, many educators around the world are worried about recent developments in AI. The frequently discussed ChatGPT – which is now on its fourth version – is a major red flag for many, causing concerns around plagiarism and creating fears that it will lead to the end of writing as people know it. This is one of the main factors that has increased the pessimistic reporting about AI that one so often sees in the media.
However, when one actually considers ChatGPT in its current state, it is safe to say that these fears are probably overblown. Can ChatGPT really replace the human mind, which is capable of so much that AI cannot replicate? As for educators, instead of assuming that all their students will want to cheat, they should instead consider the options for taking advantage of new tech to enhance the learning experience. Most people now know the tell-tale signs for identifying something that ChatGPT has written. Excessive use of numbered lists, repetitive language and poor comparison skills are just three ways to tell if a piece of writing is legitimate or if a bot is behind it. This author personally encourages the use of AI in the classes I teach. This is because it is better for students to understand what AI can do and how to use it as a tool in their learning instead of avoiding and fearing it, or being discouraged from using it no matter the circumstances.
Educators should therefore reframe the idea of ChatGPT in their minds, have open discussions with students about its uses, and help them understand that it is actually just another tool to help them learn more efficiently – and not a replacement for their own thoughts and words. Such frank discussions help students develop their critical thinking skills and start understanding their own influence on ChatGPT and other AI-powered tools.
By developing one’s understanding of AI’s actual capabilities, one can begin to understand its uses in everyday life. Some would have people believe that this means countless jobs will inevitably become obsolete, but that is not entirely true. Even if AI does replace some jobs, it will still need industry experts to guide it, meaning that entirely new jobs are being created at the same time as some older jobs are disappearing.
Adapting to AI is a new challenge for most industries, and it is certainly daunting at times. The reality, however, is that AI is not here to steal people’s jobs. If anything, it will change the nature of some jobs and may even improve them by making human workers more efficient and productive. If AI is to be a truly useful tool, it will still need humans. One should remember that humans working alongside AI and using it as a tool is key, because in most cases AI cannot do the job of a person by itself.
Is AI biased?
Why should one view AI as a tool and not a replacement? The main reason is because AI itself is still learning, and AI-powered tools such as ChatGPT do not understand bias. As a result, whenever ChatGPT is asked a question it will pull information from anywhere, and so it can easily repeat old biases. AI is learning from previous data, much of which is biased or out of date. Data about home ownership and mortgages, e.g., are often biased because non-white people in the United States could not get a mortgage until after the 1960s. The effect on data due to this lending discrimination is only now being fully understood.
AI is certainly biased at times, but that stems from human bias. Again, this just reinforces the need for humans to be in control of AI. AI is like a young child in that it is still absorbing what is happening around it. People must therefore not fear it, but instead guide it in the right direction.
For AI to be used as a tool, it must be treated as such. If one wanted to build a house, one would not expect one’s tools to be able to do the job alone – and AI must be viewed through a similar lens. By acknowledging this aspect of AI and taking control of humans’ role in its development, the world would be better placed to reap the benefits and quash the fears associated with AI. One should therefore not assume that all the doom and gloom one reads about AI is exactly as it seems. Instead, people should try experimenting with it and learning from it, and maybe soon they will realize that it was the best thing that could have happened to humanity.
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Source:
- The European Business Review, Published on October 27th, 2024.
By Lokesh Vij
Lokesh Vij is a Professor of BSc in Modern Computer Science & MSc in Applied Data Science & AI at Open Institute of Technology. With over 20 years of experience in cloud computing infrastructure, cybersecurity and cloud development, Professor Vij is an expert in all things related to data and modern computer science.
In today’s rapidly evolving technological landscape, the fields of blockchain and cloud computing are transforming industries, from finance to healthcare, and creating new opportunities for innovation. Integrating these technologies into education is not merely a trend but a necessity to equip students with the skills they need to thrive in the future workforce. Though both technologies are independently powerful, their potential for innovation and disruption is amplified when combined. This article explores the pressing questions surrounding the inclusion of blockchain and cloud computing in education, providing a comprehensive overview of their significance, benefits, and challenges.
The Technological Edge and Future Outlook
Cloud computing has revolutionized how businesses and individuals’ access and manage data and applications. Benefits like scalability, cost efficiency (including eliminating capital expenditure – CapEx), rapid innovation, and experimentation enable businesses to develop and deploy new applications and services quickly without the constraints of traditional on-premises infrastructure – thanks to managed services where cloud providers manage the operating system, runtime, and middleware, allowing businesses to focus on development and innovation. According to Statista, the cloud computing market is projected to reach a significant size of Euro 250 billion or even higher by 2028 (from Euro 110 billion in 2024), with a substantial Compound Annual Growth Rate (CAGR) of 22.78%. The widespread adoption of cloud computing by businesses of all sizes, coupled with the increasing demand for cloud-based services and applications, fuels the need for cloud computing professionals.
Blockchain, a distributed ledger technology, has paved the way by providing a secure, transparent, and tamper-proof way to record transactions (highly resistant to hacking and fraud). In 2021, European blockchain startups raised $1.5 billion in funding, indicating strong interest and growth potential. Reports suggest the European blockchain market could reach $39 billion by 2026, with a significant CAGR of over 47%. This growth is fueled by increasing adoption in sectors like finance, supply chain, and healthcare.
Addressing the Skills Gap
Reports from the World Economic Forum indicate that 85 million jobs may be displaced by a shift in the division of labor between humans and machines by 2025. However, 97 million new roles may emerge that are more adapted to the new division of labor between humans, machines, and algorithms, many of which will require proficiency in cloud computing and blockchain.
Furthermore, the World Economic Forum predicts that by 2027, 10% of the global GDP will be tokenized and stored on the blockchain. This massive shift means a surge in demand for blockchain professionals across various industries. Consider the implications of 10% of the global GDP being on the blockchain: it translates to a massive need for people who can build, secure, and manage these systems. We’re talking about potentially millions of jobs worldwide.
The European Blockchain Services Infrastructure (EBSI), an EU initiative, aims to deploy cross-border blockchain services across Europe, focusing on areas like digital identity, trusted data sharing, and diploma management. The EU’s MiCA (Crypto-Asset Regulation) regulation, expected to be fully implemented by 2025, will provide a clear legal framework for crypto-assets, fostering innovation and investment in the blockchain space. The projected growth and supportive regulatory environment point to a rising demand for blockchain professionals in Europe. Developing skills related to EBSI and its applications could be highly advantageous, given its potential impact on public sector blockchain adoption. Understanding the MiCA regulation will be crucial for blockchain roles related to crypto-assets and decentralized finance (DeFi).
Furthermore, European businesses are rapidly adopting digital technologies, with cloud computing as a core component of this transformation. GDPR (Data Protection Regulations) and other data protection laws push businesses to adopt secure and compliant cloud solutions. Many European countries invest heavily in cloud infrastructure and promote cloud adoption across various sectors. Artificial intelligence and machine learning will be deeply integrated into cloud platforms, enabling smarter automation, advanced analytics, and more efficient operations. This allows developers to focus on building applications without managing servers, leading to faster development cycles and increased scalability. Processing data closer to the source (like on devices or local servers) will become crucial for applications requiring real-time responses, such as IoT and autonomous vehicles.
The projected growth indicates a strong and continuous demand for blockchain and cloud professionals in Europe and worldwide. As we stand at the “crossroads of infinity,” there is a significant skill shortage, which will likely increase with the rapid adoption of these technologies. A 2023 study by SoftwareOne found that 95% of businesses globally face a cloud skills gap. Specific skills in high demand include cloud security, cloud-native development, and expertise in leading cloud platforms like AWS, Azure, and Google Cloud. The European Commission’s Digital Economy and Society Index (DESI) highlights a need for improved digital skills in areas like blockchain to support the EU’s digital transformation goals. A 2023 report by CasperLabs found that 90% of businesses in the US, UK, and China adopt blockchain, but knowledge gaps and interoperability challenges persist.
The Role of Educational Institutions
This surge in demand necessitates a corresponding increase in qualified individuals who can design, implement, and manage cloud-based and blockchain solutions. Educational institutions have a critical role to play in bridging this widening skills gap and ensuring a pipeline of talent ready to meet the demands of this burgeoning industry.
To effectively prepare the next generation of cloud computing and blockchain experts, educational institutions need to adopt a multi-pronged approach. This includes enhancing curricula with specialized programs, integrating cloud and blockchain concepts into existing courses, and providing hands-on experience with leading technology platforms.
Furthermore, investing in faculty development to ensure they possess up-to-date knowledge and expertise is crucial. Collaboration with industry partners through internships, co-teach programs, joint research projects, and mentorship programs can provide students with invaluable real-world experience and insights.
Beyond formal education, fostering a culture of lifelong learning is essential. Offering continuing education courses, boot camps, and online resources enables professionals to upskill or reskill and stay abreast of the latest advancements in cloud computing. Actively promoting awareness of career paths and opportunities in this field and facilitating connections with potential employers can empower students to thrive in the dynamic and evolving landscape of cloud computing and blockchain technologies.
By taking these steps, educational institutions can effectively prepare the young generation to fill the skills gap and thrive in the rapidly evolving world of cloud computing and blockchain.
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