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


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


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


Top BSc Degrees in Computer Science With Data Analytics Programs


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

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


Top Programs

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


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


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


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

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

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


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


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


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


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


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


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


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


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


4 – Data Science BSc (Warwick University)


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


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


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


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


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


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


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

Benefits of Pursuing a BSc in Computer Science With Data Analytics


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


Reason 1 – Develop In-Depth Knowledge


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


Reason 2 – Enhanced Employability


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


Reason 3 – Opportunities for Further Education


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


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


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

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

Keep Exploring to Find the Right Course for You

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

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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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