As a BSc Computer Science program graduate, you can further boost your career prospects by applying for additional courses in this field. Doing so will further develop your specialization and increase your chances of landing a job you love and are qualified to perform.


When looking for a course after BSc Computer Science, consider your career goals, budget, learning needs, and curriculum. This article covers the best courses after BSc Computer Science to make the most out of your education in computer science.


MSc Computer Science


A Master of Science degree in Computer Science is the logical next step for students who wish to continue their academic education in the computer science field. Numerous programs are available depending on your preferred specialization, providing plenty of career opportunities.


Some colleges and institutions require you to have a computer science bachelor before you can sign up for a master’s program. It’s best to check the requirements on the institution’s official website.


Some flexible programs like OPIT’s accredited MSc in Applied Data Science and AI don’t require any prerequisites in the field. The program is also self-paced and fully remote and consists of three terms – two terms of courses and the final term for the project or thesis.


A Master of Science in Computer Science may include the following specializations:

  • Robotics
  • Graphics
  • Computing Systems
  • Human-Centered Computing
  • Artificial Intelligence
  • Machine Learning
  • Modeling and Simulations
  • Social Computing
  • Cybersecurity
  • Software Engineering
  • Data Science
  • Information Systems

These specializations may or may not be available at the university or college where you completed your previous education. If you’re determined to get an MSc in Computer Science and have a particular specialization in mind, do extensive research online to find the best program that matches your needs, budget, and skills. An affordable and valuable education upgrade may just be around the corner.


As you can see from above, you’ll find a Master of Science specialization in just about any computer science field. The same goes for career opportunities following an MSc in Computer Science.


Career Opportunities

  • Computer Research Analyst
  • Computer Network Architect
  • Software Developer
  • Database Administrator
  • Information Security Manager
  • Software Development Engineer
  • Computer and Information Systems Manager
  • Computer Systems Analyst
  • Web Developer
  • Mobile App Developer

If you’re ever in doubt about pursuing a Master of Science in Computer Science, remember that the average salary for individuals with this degree is $109,000 per year, according to PayScale.



Master of Computer Applications (MCA)


If you’re wondering “what to do after BSc Computer Science,” another popular path is a Master of Computer Applications (MCA). Experts with this degree can create computer applications, test new programs, offer instructions for software users, and more. With a finished MCA, you’re looking at a career that focuses on the practical aspects of software development.


The master’s in this field takes two to three years to complete and is available in colleges worldwide. A math background or at least having had this subject in high school is often the main requirement to enroll in the program. You may also need to undergo a test and an interview.


The MCA programs usually cover computational theory, in-depth algorithm studying and practice, network management, databases, web design, web development, computer networks, and more. The focus of the classes is hands-on software development, so you need to have strong skills in programming languages.


But what are your career opportunities with an MCA?


Career Opportunities

  • Computer Systems Analyst
  • Computer Programmer
  • Software Developer

Although there are fewer career opportunities for MCA takers, the salary of individuals with this degree goes up to $133,000 annually, making an MCA an excellent investment.


MBA in Information Technology


A Master of Business Administration in Information Technology is an advantageous education program. It trains you to become a leader in the IT industry. Bureau of Labor Statistics data shows that computer and information system managers earn around $151,000 annually or about $76 per hour. These are some of the highest salary prospects of all the after BSc in Computer Science programs.


Better still, all modern-day organizations need a professional in this field to ensure operations run smoothly. An important part of an information technologist’s job is to examine the future prospects of the company’s technology needs, making it a highly rewarding career.


The MBA in Information Technology program primarily focuses on training skilled professionals with high technical and business know-how. Numerous online as well as traditional programs and universities offer this specialization, as it’s one of the most in-demand degrees out there.


Some courses you can expect to find in an MBA in Information Technology program include:

  • Information Security
  • Database Management
  • Business Data Analytics
  • Technology Management
  • Corporate Financial Strategy
  • Marketing Strategies
  • Financial Management
  • Decision Making
  • Project Management
  • Human Capital Management

Most schools look for either GMAT or GRE scores as a requirement to enter this program. Also, the average duration of the program is one year. The great part is that you can find self-paced programs you can take according to your schedule.


Career Opportunities

  • IT Manager
  • IT Director
  • Computer and Information Research Scientist
  • IT Business Relationship Manager
  • Chief Technology Officer
  • Data Analyst

PG Diploma in Data Science


A Postgraduate Diploma in Data Science is usually a two-year full-time program that combines economics, science, and information technology. With this specialization, you’re qualified for many roles in the industry that deal with data. You can use the knowledge obtained in this program to contribute to the optimization of most processes in businesses, software, and institutions.


Numerous online boot camps are available and sponsored by major corporations like IBM.


In the PG Diploma in Data Science study path, you can expect to work with the following:

  • R
  • Python
  • NLP notions
  • Machine learning
  • Tableau and other data visualization methods

When choosing a PG in Computer Science, go for programs with plenty of projects involving hands-on practice. If you have a love and passion for numbers, new knowledge, and analytics, a PG in Data Science is the right call. Your future is bright in terms of career opportunities too.


Career Opportunities

  • Business Analyst
  • Big Data Scientist
  • Senior Data Scientist
  • Data Architect
  • Data Administrator
  • Business Intelligence Manager
  • Research Analyst
  • Data Mining Engineer
  • Statistician


Certification Courses


Nowadays, people love taking online courses. If you’re active on LinkedIn, you can see how the LinkedIn Learning platform with free courses has taken business social media by storm. Although LinkedIn offers solid programs, most of them aren’t accredited.


You can complete legit certification courses following your BSc Computer Science to boost your career. Certifications prove that you’re skilled in your area of specialization and that you have passed a standardized examination to demonstrate your capabilities.


While preparing for the certification exam, you also have the opportunity to learn new things. Many employers don’t care whether you have a certificate for specific skills, but the computer science world is different.


Given the multitude of highly specialized themes, employers want to be sure you’re suitable for the position you are applying for. Certifications are especially beneficial if you have no prior work experience on your CV.


Finally, by getting a professional certification, you also can increase your future salary prospects. An additional document on your CV validating your skills gives you an edge over other applicants.


Certifications for computer science experts include:

  • CISCO – If your area of interest is networking, you can get a professional certificate in various fields like data centers, network design, DevNet, and others.
  • CompTIA – This association offers professional certifications related to computer components, software, smartphones, etc. They also have a certification program for security and networking.
  • EC-Council – If you’re leaning towards e-commerce and digital businesses, the EC-Council certification can help. They have programs for ethical hacking, computer hacking, and more.
  • Microsoft – This corporation has plenty of certification programs to showcase your proficiency in Azure.
  • AWS – With arguably the highest number of available certifications, Amazon Web Services is one of the most popular providers of professional certificates.
  • ISACA – If you want to advance in the information system and security sector, ISACA certifications are the way to go.
  • VMware – This certification is for vSphere V6 specialists in data center visualization.

You can take computer science in just about any field imaginable. Therefore, you unlock numerous career opportunities.


Career Opportunities

  • Software Developer
  • Web Developer
  • Computer Programmer
  • Network Administrator
  • Software Engineer
  • Systems Manager
  • Computer Hardware Engineer
  • Information Security Analyst

After BSc Computer Science Which Course Is Better?


When you choose courses after BSc Computer Science, it’s important to consider your career goals, skills, and interests. Otherwise, you may feel dissatisfied and unfulfilled while studying and looking for jobs.


The courses featured in this article have high growth potential and are promising in terms of success. With enough effort, stimulation, and support, you can make your next computer science course your best life decision.


To choose the course you are truly interested in, dedicate enough time to research and consult with industry professionals, as they will surely provide valuable insights and advice to help you make the right choice.

Related posts

The Yuan: AI is childlike in its capabilities, so why do so many people fear it?
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Nov 8, 2024 6 min read

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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The European Business Review: Adapting to the Digital Age: Teaching Blockchain and Cloud Computing
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Nov 6, 2024 6 min read

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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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