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

Master the AI Era: Key Skills for Success
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 24, 2025 6 min read

The world is rapidly changing. New technologies such as artificial intelligence (AI) are transforming our lives and work, redefining the definition of “essential office skills.”

So what essential skills do today’s workers need to thrive in a business world undergoing a major digital transformation? It’s a question that Alan Lerner, director at Toptal and lecturer at the Open Institute of Technology (OPIT), addressed in his recent online masterclass.

In a broad overview of the new office landscape, Lerner shares the essential skills leaders need to manage – including artificial intelligence – to keep abreast of trends.

Here are eight essential capabilities business leaders in the AI era need, according to Lerner, which he also detailed in OPIT’s recent Master’s in Digital Business and Innovation webinar.

An Adapting Professional Environment

Lerner started his discussion by quoting naturalist Charles Darwin.

“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.”

The quote serves to highlight the level of change that we are currently seeing in the professional world, said Lerner.

According to the World Economic Forum’s The Future of Jobs Report 2025, over the next five years 22% of the labor market will be affected by structural change – including job creation and destruction – and much of that change will be enabled by new technologies such as AI and robotics. They expect the displacement of 92 million existing jobs and the creation of 170 million new jobs by 2030.

While there will be significant growth in frontline jobs – such as delivery drivers, construction workers, and care workers – the fastest-growing jobs will be tech-related roles, including big data specialists, FinTech engineers, and AI and machine learning specialists, while the greatest decline will be in clerical and secretarial roles. The report also predicts that most workers can anticipate that 39% of their existing skill set will be transformed or outdated in five years.

Lerner also highlighted key findings in the Accenture Life Trends 2025 Report, which explores behaviors and attitudes related to business, technology, and social shifts. The report noted five key trends:

  • Cost of Hesitation – People are becoming more wary of the information they receive online.
  • The Parent Trap – Parents and governments are increasingly concerned with helping the younger generation shape a safe relationship with digital technology.
  • Impatience Economy – People are looking for quick solutions over traditional methods to achieve their health and financial goals.
  • The Dignity of Work – Employees desire to feel inspired, to be entrusted with agency, and to achieve a work-life balance.
  • Social Rewilding – People seek to disconnect and focus on satisfying activities and meaningful interactions.

These are consumer and employee demands representing opportunities for change in the modern business landscape.

Key Capabilities for the AI Era

Businesses are using a variety of strategies to adapt, though not always strategically. According to McClean & Company’s HR Trends Report 2025, 42% of respondents said they are currently implementing AI solutions, but only 7% have a documented AI implementation strategy.

This approach reflects the newness of the technology, with many still unsure of the best way to leverage AI, but also feeling the pressure to adopt and adapt, experiment, and fail forward.

So, what skills do leaders need to lead in an environment with both transformation and uncertainty? Lerner highlighted eight essential capabilities, independent of technology.

Capability 1: Manage Complexity

Leaders need to be able to solve problems and make decisions under fast-changing conditions. This requires:

  • Being able to look at and understand organizations as complex social-technical systems
  • Keeping a continuous eye on change and adopting an “outside-in” vision of their organization
  • Moving fast and fixing things faster
  • Embracing digital literacy and technological capabilities

Capability 2: Leverage Networks

Leaders need to develop networks systematically to achieve organizational goals because it is no longer possible to work within silos. Leaders should:

  • Use networks to gain insights into complex problems
  • Create networks to enhance influence
  • Treat networks as mutually rewarding relationships
  • Develop a robust profile that can be adapted for different networks

Capability 3: Think and Act “Global”

Leaders should benchmark using global best practices but adapt them to local challenges and the needs of their organization. This requires:

  • Identifying what great companies are achieving and seeking data to understand underlying patterns
  • Developing perspectives to craft global strategies that incorporate regional and local tactics
  • Learning how to navigate culturally complex and nuanced business solutions

Capability 4: Inspire Engagement

Leaders must foster a culture that creates meaningful connections between employees and organizational values. This means:

  • Understanding individual values and needs
  • Shaping projects and assignments to meet different values and needs
  • Fostering an inclusive work environment with plenty of psychological safety
  • Developing meaningful conversations and both providing and receiving feedback
  • Sharing advice and asking for help when needed

Capability 5: Communicate Strategically

Leaders should develop crisp, clear messaging adaptable to various audiences and focus on active listening. Achieving this involves:

  • Creating their communication style and finding their unique voice
  • Developing storytelling skills
  • Utilizing a data-centric and fact-based approach to communication
  • Continual practice and asking for feedback

Capability 6: Foster Innovation

Leaders should collaborate with experts to build a reliable innovation process and a creative environment where new ideas thrive. Essential steps include:

  • Developing or enhancing structures that best support innovation
  • Documenting and refreshing innovation systems, processes, and practices
  • Encouraging people to discover new ways of working
  • Aiming to think outside the box and develop a growth mindset
  • Trying to be as “tech-savvy” as possible

Capability 7: Cultivate Learning Agility

Leaders should always seek out and learn new things and not be afraid to ask questions. This involves:

  • Adopting a lifelong learning mindset
  • Seeking opportunities to discover new approaches and skills
  • Enhancing problem-solving skills
  • Reviewing both successful and unsuccessful case studies

Capability 8: Develop Personal Adaptability

Leaders should be focused on being effective when facing uncertainty and adapting to change with vigor. Therefore, leaders should:

  • Be flexible about their approach to facing challenging situations
  • Build resilience by effectively managing stress, time, and energy
  • Recognize when past approaches do not work in current situations
  • Learn from and capitalize on mistakes

Curiosity and Adaptability

With the eight key capabilities in mind, Lerner suggests that curiosity and adaptability are the key skills that everyone needs to thrive in the current environment.

He also advocates for lifelong learning and teaches several key courses at OPIT which can lead to a Bachelor’s Degree in Digital Business.

Read the article
Lessons From History: How Fraud Tactics From the 18th Century Still Impact Us Today
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 17, 2025 6 min read

Many people treat cyber threats and digital fraud as a new phenomenon that only appeared with the development of the internet. But fraud – intentional deceit to manipulate a victim – has always existed; it is just the tools that have changed.

In a recent online course for the Open Institute of Technology (OPIT), AI & Cybersecurity Strategist Tom Vazdar, chair of OPIT’s Master’s Degree in Enterprise Cybersecurity, demonstrated the striking parallels between some of the famous fraud cases of the 18th century and modern cyber fraud.

Why does the history of fraud matter?

Primarily because the psychology and fraud tactics have remained consistent over the centuries. While cybersecurity is a tool that can combat modern digital fraud threats, no defense strategy will be successful without addressing the underlying psychology and tactics.

These historical fraud cases Vazdar addresses offer valuable lessons for current and future cybersecurity approaches.

The South Sea Bubble (1720)

The South Sea Bubble was one of the first stock market crashes in history. While it may not have had the same far-reaching consequences as the Black Thursday crash of 1929 or the 2008 crash, it shows how fraud can lead to stock market bubbles and advantages for insider traders.

The South Sea Company was a British company that emerged to monopolize trade with the Spanish colonies in South America. The company promised investors significant returns but provided no evidence of its activities. This saw the stock prices grow from £100 to £1,000 in a matter of months, then crash when the company’s weakness was revealed.

Many people lost a significant amount of money, including Sir Isaac Newton, prompting the statement, “I can calculate the movement of the stars, but not the madness of men.

Investors often have no way to verify a company’s claim, making stock markets a fertile ground for manipulation and fraud since their inception. When one party has more information than another, it creates the opportunity for fraud. This can be seen today in Ponzi schemes, tech stock bubbles driven by manipulative media coverage, and initial cryptocurrency offerings.

The Diamond Necklace Affair (1784-1785)

The Diamond Necklace Affair is an infamous incident of fraud linked to the French Revolution. An early example of identity theft, it also demonstrates that the harm caused by such a crime can go far beyond financial.

A French aristocrat named Jeanne de la Mont convinced Cardinal Louis-René-Édouard, Prince de Rohan into thinking that he was buying a valuable diamond necklace on behalf of Queen Marie Antoinette. De la Mont forged letters from the queen and even had someone impersonate her for a meeting, all while convincing the cardinal of the need for secrecy. The cardinal overlooked several questionable issues because he believed he would gain political benefit from the transaction.

When the scheme finally exposed, it damaged Marie Antoinette’s reputation, despite her lack of involvement in the deception. The story reinforced the public perception of her as a frivolous aristocrat living off the labor of the people. This contributed to the overall resentment of the aristocracy that erupted in the French Revolution and likely played a role in Marie Antoinette’s death. Had she not been seen as frivolous, she might have been allowed to live after her husband’s death.

Today, impersonation scams work in similar ways. For example, a fraudster might forge communication from a CEO to convince employees to release funds or take some other action. The risk of this is only increasing with improved technology such as deepfakes.

Spanish Prisoner Scam (Late 1700s)

The Spanish Prisoner Scam will probably sound very familiar to anyone who received a “Nigerian prince” email in the early 2000s.

Victims received letters from a “wealthy Spanish prisoner” who needed their help to access his fortune. If they sent money to facilitate his escape and travel, he would reward them with greater riches when he regained his fortune. This was only one of many similar scams in the 1700s, often involving follow-up requests for additional payments before the scammer disappeared.

While the “Nigerian prince” scam received enough publicity that it became almost unbelievable that people could fall for it, if done well, these can be psychologically sophisticated scams. The stories play on people’s emotions, get them invested in the person, and enamor them with the idea of being someone helpful and important. A compelling narrative can diminish someone’s critical thinking and cause them to ignore red flags.

Today, these scams are more likely to take the form of inheritance fraud or a lottery scam, where, again, a person has to pay an advance fee to unlock a much bigger reward, playing on the common desire for easy money.

Evolution of Fraud

These examples make it clear that fraud is nothing new and that effective tactics have thrived over the centuries. Technology simply opens up new opportunities for fraud.

While 18th-century scammers had to rely on face-to-face contact and fraudulent letters, in the 19th century they could leverage the telegraph for “urgent” communication and newspaper ads to reach broader audiences. In the 20th century, there were telephones and television ads. Today, there are email, social media, and deepfakes, with new technologies emerging daily.

Rather than quack doctors offering miracle cures, we see online health scams selling diet pills and antiaging products. Rather than impersonating real people, we see fake social media accounts and catfishing. Fraudulent sites convince people to enter their bank details rather than asking them to send money. The anonymity of the digital world protects perpetrators.

But despite the technology changing, the underlying psychology that makes scams successful remains the same:

  • Greed and the desire for easy money
  • Fear of missing out and the belief that a response is urgent
  • Social pressure to “keep up with the Joneses” and the “Bandwagon Effect”
  • Trust in authority without verification

Therefore, the best protection against scams remains the same: critical thinking and skepticism, not technology.

Responding to Fraud

In conclusion, Vazdar shared a series of steps that people should take to protect themselves against fraud:

  • Think before you click.
  • Beware of secrecy and urgency.
  • Verify identities.
  • If it seems too good to be true, be skeptical.
  • Use available security tools.

Those security tools have changed over time and will continue to change, but the underlying steps for identifying and preventing fraud remain the same.

For more insights from Vazdar and other experts in the field, consider enrolling in highly specialized and comprehensive programs like OPIT’s Enterprise Security Master’s program.

Read the article