With your BSc in Computer Science achieved, you have a ton of technical knowledge in coding, systems architecture, and the general “whys” and “hows” of computing under your belt. Now, you face a dilemma, as you’re entering a field that over 150,000 people study for per year, meaning competition is rife.

That huge level of competition makes finding a new career difficult, as UK-based computer science graduates discovered in the mid-2010s when the saturation of the market led to an 11% unemployment rate. To counter that saturation, you may find the siren’s call of the business world tempts you toward continuing your studies to obtain an MBA.

So, the question is – can I do MBA after Computer Science?

This article offers the answers.

Understanding the MBA Degree

MBAs exist to equip students with the knowledge (both technical and practical) to succeed in the business world. For computer science graduates, that may mean giving them the networking and soft skills they need to turn their technical knowledge into career goldmines, or it could mean helping them to start their own companies in the computing field.

Most MBAs feature six core subjects:

  • Finance – Focused on the numbers behind a business, this subject is all about learning how to balance profits, losses, and the general costs of running a business.
  • Accounting – Building on the finance subject, accounting pulls students into the weeds when it comes to taxes, operating expenses, and running a healthy company.
  • Leadership – Soft skills are just as important as hard skills to a business student, with leadership subjects focusing on how to inspire employees and foster teamwork.
  • Economic Statistics – The subject that most closely relates to a computer science degree, economic statistics is all about processing, collecting, and interpreting technical data.
  • Accountability/Ethics – With so many fields having strict compliance criteria (coupled with the ethical conundrums that arise in any business), this subject helps students navigate potential legal and ethical minefields.
  • Marketing – Having a great product or service doesn’t always lead to business success. Marketing covers what you do to get what you have to offer into the public eye.

Beyond the six core subjects, many MBAs offer students an opportunity to specialize via additional courses in the areas that interest them most. For instance, you could take courses in entrepreneurship to bolster your leadership skills and ethical knowledge, or focus on accounting if you’re more interested in the behind-the-scenes workings of the business world.

As for career opportunities, you have a ton of paths you can follow (with your computer science degree offering more specialized career routes). Those with an MBA alone have options in the finance, executive management, and consulting fields, with more specialized roles in IT management available to those with computer science backgrounds.

Eligibility for MBA After BSc Computer Science

MBAs are attractive to prospective post-graduate students because they have fairly loose requirements, at least when compared to more specialized further studies. Most MBA courses require the following before they’ll accept a student:

  • A Bachelor’s degree in any subject, as long as that degree comes from a recognized educational institution
  • English language proficiency
    • This is often tested using either the TOEFL or IELTS tests
  • A pair of recommendation letters, which can come from employers or past teachers
  • Your statement of purpose defining why you want to study for an MBA
  • A resume
  • A Graduate Management Admissions Test (GMAT) score
    • You’ll receive a score between 200 and 800, with the aim being to exceed the average of 574.51

Interestingly, some universities offer MBAs in Computer Science, which are the ideal transitional courses for those who are wary of making the jump from a more technical field into something business-focused. Course requirements are similar to those for a standard MBA, though some universities also like to see that you have a couple of years of work experience before you apply.

Benefits of Pursuing an MBA After BSc Computer Science

So, the answer to “Can I do MBA after BSc Computer Science,” is a resounding “yes,” but we still haven’t confronted why that’s a good choice. Here are five reasons:

  • Diversify your skill set – While your skill set after completing a computer science degree is extremely technical, you may not have many of the soft skills needed to operate in a business environment. Beyond teaching leadership, management, and teamwork, a good MBA program also helps you get to grips with the numbers behind a business.
  • Expand career opportunities – There is no shortage of potential roles for computer science graduates, though the previously mentioned study data shows there are many thousands of people studying the same subject. With an MBA to complement your knowledge of computers, you open the door to career opportunities in management fields that would otherwise not be open to you.
  • Enhance leadership and management skills – Computer science can often feel like a solitary pursuit, as you spend more time behind a keyboard than you do interacting with others. MBAs are great for those who need a helping hand with their communication skills. Plus, they’re ideal for teaching the organizational aspects of running (or managing) a business.
  • Potential for higher salary and career growth – According to Indeed, the average salary in the computer science field is $103,719. Figures from Seattle University suggest those with MBAs can far exceed that average, with the figures it quotes from the industry journal Poets and Quants suggesting an average MBA salary of $140,924.

Challenges and Considerations

As loose as the academic requirements for being accepted to an MBA may be (at least compared to other subjects), there are still challenges to confront as a computer science graduate or student.

  • The time and financial investments – Forbes reports the average cost of an MBA in the United States to be $61,800. When added to the cost of your BSc in Computer Science, it’s possible you’ll face near-six-figure debt upon graduating. Couple that monetary investment with the time taken to get your MBA (it’s a full-time course) and you may have to put more into your studies than you think.
  • Balancing your technical and managerial skills – Computer science focuses on the technical side, which is only one part of an MBA. While the skills you have will come to the fore when you study accounting or economic statistics, the people-focused aspects of an MBA may be a challenge.
  • Adjusting to a new academic environment – You’re switching focus from the computer screen to a more classroom-led learning environment. Some may find this a challenge, particularly if they appreciate the less social aspects of computer science.

MBA Over Science – The Thomas Henson Story

After completing his Bachelor’s degree in computer information systems, Thomas Henson faced a choice – start a Master’s degree in science or study for his MBA. Having worked as a software engineer for six months following his graduation, he wanted to act fast to get his Masters’s done and dusted, opening up new career opportunities in the process.

Eventually, he chose an MBA and now works as a senior software engineer specializing in the Hortonworks Data Platform. On his personal blog, he shares why he chose an MBA over a Master’s degree in computer science, with his insights possibly helping others make their own choice:

  • Listen to the people around you (especially teachers and mentors) and ask them why they’ve chosen their career and study paths.
  • Compare programs (both comparing MBAs against one another and comparing MBAs to other post-graduate degrees) to see which courses serve your future ambitions best.
  • Follow your passion (James loved accounting) as the most important thing is not necessarily the post-graduate course you take. The most important thing is that you finish.

Choosing the Right MBA Program

Finding the right MBA program means taking several factors into consideration, with the following four being the most important:

  • Reputation and accreditation – The reputation of the institution you choose, as well as the accreditation it holds, plays a huge role in your decision. Think of your MBA as a recommendation. That recommendation doesn’t mean much if it comes from a random person in the street (i.e., an institution nobody knows), but it carries a lot of weight if it comes from somebody respected.
  • Curriculum and specialization – As Thomas Henson points out, what drives you most is what will lead you to the right MBA. In his case, he loved accounting enough to make an MBA a possibility, and likely pursued specializations in that area. Ask yourself what you specifically aim to achieve with your MBA and look for courses that move you closer to that goal.
  • Networking opportunities – As anybody in the business world will tell you, who you know is often as important as what you know. Look for a course that features respected lecturers and professors, as they have connections that you can exploit, and take advantage of any opportunities to go to networking events or join professional associations.
  • Financial aid and scholarships – Your access to financial aid depends on your current financial position, meaning it isn’t always available. Scholarships may be more accessible, with major institutions like Harvard and Columbia Business School offering pathways into their courses for those who meet their scholarship requirements.

Speaking of Harvard and Columbia, it’s also a good idea to research some of the top business schools, especially given that the reputation of your school is as important as the degree you earn. Major players, at least in the United States, include:

  • Harvard Business School
  • Columbia Business School
  • Wharton School of Business
  • Yale School of Management
  • Stanford Graduate School of Business

Become a Business-Minded Computer Buff

With the technical skills you earned from your BSc in Computer Science, you’ll be happy to find that the answer to “Can I do MBA after BSc Computer Science?” is “Yes.” Furthermore, it’s recommended as an MBA can equip you with soft skills, such as communication and leadership, that you may not receive from your computing studies. Ultimately, the combination of tech-centric and business skills opens the door to new career paths, with the average earnings of an MBA student outclassing those of computer science graduates.

Your choice comes down to your passion and the career you wish to pursue. If management doesn’t appeal to you, an MBA is likely a waste of time (and over $60,000), whereas those who want to apply their tech skills to the business world will get a lot more out of an MBA.

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OPIT Is Turning 2! What Have We Achieved in the Last 2 Years?
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 7, 2025 6 min read

The Open Institute of Technology (OPIT) is turning two! It has been both a long journey and a whirlwind trip to reach this milestone. But it is also the perfect time to stop and reflect on what we have achieved over the last two years, as well as assess our hopes for the future. Join us as we map our journey over the last two years and look forward to future plans.

July 2023: Launching OPIT

OPIT officially launched as an EU-accredited online higher education institution in July 2023, and offered two core programs: a BSc in Modern Computer Science and an MSc in Applied Data Science and AI. Its first class matriculated in September of that year.

The launch of OPIT was several years in the making. Founder Riccardo Ocleppo was planning OPIT ever since he launched his first company, Docsity, in 2010, an online platform for students to share access to educational resources. As part of working on that project, Ocleppo had the chance to talk to thousands of students and professors and discovered just how big a gap there is between what is taught in universities today and job market demands. Ocleppo felt that this gap was especially wide in the field of computer science, and OPIT was his concept to fill that gap.

The vision was to provide university-level teaching that was accessible around the world through digital learning technologies and that was also affordable. Ocleppo’s vision also involved international professors and building strong relationships with global companies to ensure a truly international and fit-for-purpose learning experience.

One of the most important parts of launching OPIT was the recruitment of the faculty of professors, which Ocleppo was personally involved in. The idea was to build a roster of expert teachers and professionals who were leaders in the field and urge them to unite the teaching fundamentals with real-world applications and experience. The process involved screening more than 5,000 CVs, interviewing over 200 candidates, and recruiting 25 professors to form the core of OPIT’s faculty.

September 2023: The Inaugural Cohort

When OPIT officially launched, its first cohort included 100 students from 38 different countries. Divided between the BSc and MSc courses, students were also allowed to participate in one of two different tracks. Some chose the standard track to accommodate their existing work commitments, while others chose to fast-track to complete their studies sooner.

OPIT was pleased with its success in making the courses international and accessible, with notable representation from Africa. In the first cohort, 40% of MSc students were also from non-STEM fields, showing OPIT’s success at engaging professionals looking to develop skills for the modern workplace.

July 2024: A Growing Curriculum

Building on this initial success, in 2024, OPIT expanded its academic offering to include a second BSc program in Digital Business, and three new MSc programs in Digital Business & Innovation, Responsible Artificial Intelligence, and Enterprise Cybersecurity. These were all offered in addition to the original two programs.

The new course offerings led to total student numbers growing to over 300, hailing from 78 different countries. This also led to an expansion of the faculty, with professionals recruited from major business leaders such as Symantec, Microsoft, PayPal, McKinsey, MIT, Morgan Stanley, Amazon, and U.S. Naval Research. This focus on professional experience and real-world applications is ideal for OPIT as 80% of the student body are active working professionals.

January 2025: First Graduating Class

OPIT held its first-ever graduation ceremony in Valletta, Malta, on March 8, 2025. The ceremony was a hybrid event, with students attending both in person and virtually. The first graduating class consisted of 40 students who received an MSc in Applied Data Science and AI.

OPIT’s MSc programs include a capstone project that sees students apply their learning to real-world challenges. Projects included the use of large language models for the creation of chatbots in the ed-tech field, the digitalization of customer support processes in the paper and non-woven industry, personal data protection systems, AI applications for environmental sustainability, and predictive models for disaster prevention linked to climate change. Since many OPIT students realized their capstone projects within their organizations, OPIT also saw itself successfully facilitating digital innovation in the field.

July 2025: New Learning Environments

The next step for OPIT is not just to teach others how to leverage AI to work smarter, but to start applying AI solutions in our own business environment. To this end, OPIT unveiled its OPIT AI Copilot at the Microsoft AI Agents and the Future of Higher Education event in Milan in June 2025.

The OPIT AI Copilot is a specialist AI Agent designed to enhance learning in OPIT’s fully digital environment. OPIT AI Copilot acts as a personal tutor and study companion, and but rather than being trained on the World Wide Web, it is specifically trained on OPIT’s educational archive of around 3,500 hours of lectures and 3,000 proprietary documents.

The OPIT AI Copilot then provides real-time, personalized guidance that adapts to where the student is in the course and the progress they have shown in grasping the material. As well as pulling from existing materials, the OPIT AI Copilot can generate content to deepen learning, such as code samples and practical exams. It can also answer questions posed by the students with answers grounded in the official course material. The tool is available 24/7, and also has an intelligent examination mode, which prevents cheating.

In this way, OPIT AI Copilot enriches the OPIT learning environment by providing students with 24/7 personalized support for their learning journey, ideal for busy professionals balancing work and study. It is a step towards facing the challenge of “one-size-fits-all” education approaches that have plagued learning institutions for millennia.

September 2025: A New Cohort

On the heels of the OPIT AI Copilot launch, OPIT is excited about recruiting its next round of students, with applications open until September 2025. If you are interested in joining OPIT, you can learn more about its courses here.

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Authority Magazine: Paola Tirelli of RWS Group on the Future of Artificial Intelligence
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 4, 2025 9 min read

Source:

By Kate Mowbray, 7 min read


“To engage more women in the AI industry, I believe we need to start by highlighting the diversity of roles available. Not all of them are purely technical. AI needs linguists, designers, ethicists, project managers, and many other profiles. Showing that there’s space for different kinds of expertise can make the field feel more accessible. We also need more visible role models: women who are leading, innovating, and mentoring in AI.”

As part of our series about the future of Artificial Intelligence, I had the pleasure of interviewing Paola Tirelli, linguistic AI specialist with RWS Group. Paola is also an MSc in Applied Data Science and AI graduate of OPIT — Open Institute of Technology, a global online educational institution.

With over a decade in translation and project management, Paola is passionate about integrating technology with language services. She considers bridging language barriers and leading teams to success her strength.

Thank you so much for joining us in this interview series! Can you share with us the ‘backstory” of how you decided to pursue this career path in AI?

Mybackground is in linguistics and localization, and I’ve spent years working with translation, quality assurance, and automation tools. I’ve always been fascinated by the intersection of language and technology. The turning point came when I realized I had reached a plateau in my role and felt a strong urge to grow, contribute more meaningfully, and understand the changes reshaping the industry.

That curiosity naturally led me to AI, a space where my linguistic expertise could meet innovation. I began to see how powerful AI could be in solving specific challenges in localization, especially around quality and efficiency. This inspired me to pursue a Master’s in Applied Data Science and AI at OPIT, to deepen my skills and explore how to bridge my domain knowledge with the new tools AI offers.

What lessons can others learn from your story?

It’s never too late to reinvent yourself. You don’t need to have a technical background from the start to enter the AI field. With strong motivation, curiosity, and a willingness to learn, you can go very far.

Embracing your own expertise, whatever it may be, can actually become your greatest asset. AI isn’t just about code and algorithms; it’s about solving real-world problems, and that requires diverse perspectives. If you’re driven by purpose and open to growth, you can not only adapt to change, but you can help shape it.

Can you tell our readers about the most interesting projects you are working on now?

What I find most exciting about my current work is the opportunity to experiment and explore where AI can truly be a game changer in the localization space. I’m particularly interested in projects that would have been unthinkable just a few years ago, initiatives involving massive amounts of data or complex workflows that no client would have considered feasible due to time, cost, or resource constraints. Thanks to AI, we can now approach these challenges in entirely new ways, unlocking value and enabling solutions that were previously out of reach, such as automated terminology extraction or adapting content across different language variants.

None of us are able to achieve success without some help along the way. Is there a particular person who you are grateful towards who helped get you to where you are? Can you share a story about that?

I’m especially grateful to the person who would later become my manager, Marina Pantcheva. At the time, I had already started my Master’s at OPIT and was looking for the right direction to apply what I was learning. I knew I wanted to stay within my company, but I wasn’t sure where to focus.

Then I attended a talk she gave on AI. It was clear, engaging, and incredibly inspiring. It felt like a calling. I knew I wanted to work with her and be part of her team. When I eventually joined the AI team, she believed in my potential from the start. She gave me the space to ask questions, explore ideas, and gradually take on more responsibility. That trust and support made all the difference. It helped me grow into this new field with confidence and purpose.

What are the 5 things that most excite you about the AI industry? Why?

· We’re writing the future — AI is still in its early stages, and we don’t yet know the limits of what it can do. Being part of this journey feels like contributing to something truly transformative.

· Unthinkable opportunities are now possible — Tasks that once required enormous manual effort or were simply out of reach due to scale or complexity are now achievable. AI opens doors to projects that were previously unimaginable.

· Access to knowledge like never before — AI enhances how we interact with information, making it faster and more intuitive to explore, learn, and apply knowledge across domains.

· Cross-disciplinarity — AI touches every field, so it’s full of opportunities for people from different backgrounds.

· Problem-solving at scale — AI can help automate tedious tasks and improve decision-making in complex workflows.

What are the 5 things that concern you about the AI industry? Why?

· AI systems are not 100% reliable, and their outputs can sometimes be inaccurate or misleading. This raises questions about how much we can (or should) trust them, especially in high-stakes contexts.

· As we integrate AI into more aspects of our work and lives, there’s a risk of becoming overly reliant on it, potentially at the expense of human judgment, creativity, and critical thinking.

· If we delegate too much to machines, we may gradually lose some of our own cognitive abilities, like problem-solving, memory, or even language skills, simply because we’re not exercising them as much.

· Without clear communication and reskilling strategies, AI can be perceived as a threat rather than a tool. This fear can create resistance and anxiety, especially in industries undergoing rapid transformation.

· From bias in algorithms to the misuse of generative tools, the ethical challenges are real. We need strong frameworks to ensure AI is developed and used responsibly, with transparency and accountability.

As you know, there is an ongoing debate between prominent scientists, (personified as a debate between Elon Musk and Mark Zuckerberg,) about whether advanced AI poses an existential danger to humanity. What is your position about this?

I think it’s important to separate science fiction from science. While I don’t believe current AI poses an existential threat, I do believe that we need to be very intentional about how we develop and use it. The real risks today are more about misuse, bias, and lack of transparency than about a doomsday scenario.

What can be done to prevent such concerns from materializing? And what can be done to assure the public that there is nothing to be concerned about?

Transparency and education are key. We need to involve more people in the conversation; not just engineers, but also linguists, ethicists, teachers, and everyday users. Clear communication about what AI can and cannot do would help build trust. Regulation also has to catch up with the speed of innovation, without stifling it.

As you know, there are not many women in the AI industry. Can you advise what is needed to engage more women into the AI industry?

My perception is slightly different, because I come from the localization industry, where there’s a strong presence of women. So, when I transitioned into AI, I brought with me a sense of belonging and confidence that not everyone may feel when entering a more male-dominated space.

To engage more women in the AI industry, I believe we need to start by highlighting the diversity of roles available. Not all of them are purely technical. AI needs linguists, designers, ethicists, project managers, and many other profiles. Showing that there’s space for different kinds of expertise can make the field feel more accessible. We also need more visible role models: women who are leading, innovating, and mentoring in AI.

Representation matters. When you see someone like you doing something you thought was out of reach, it becomes easier to imagine yourself there too.

What is your favorite “Life Lesson Quote”? Can you share a story of how that had relevance to your own life?

It’s never too late to be what you might have been,” by George Eliot.

This quote really resonated with me when I decided to shift my career path toward AI. Starting a Master’s in Applied Data Science and AI while working full-time wasn’t easy, but that quote gave me the courage to step into a field that initially felt far from my comfort zone, and to trust that my unique background could actually be a strength, not a limitation.

You are a person of great influence. If you could start a movement that would bring the most amount of good to the most amount of people, what would that be? You never know what your idea can trigger.

If I could start a movement, it would focus on democratizing access to AI education and tools, especially for people from non-technical backgrounds. I truly believe that AI should not be limited to engineers or data scientists. It has the potential to empower professionals from all fields, from linguists to educators to healthcare workers. I’d love to see a world where people feel confident using AI not just as a tool, but as a partner in creativity, problem-solving, and innovation, regardless of their background, gender, or location.

How can our readers further follow your work online?

I usually share updates on LinkedIn: https://www.linkedin.com/in/paola-tirelli-9abbb32a9/

This was very inspiring. Thank you so much for joining us!

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