Why study for a machine learning engineer degree?

The simple answer is that the industry is growing explosively. Precedence Research points out that the machine learning market was worth $38.11 billion (approx. €35 billion) in 2022. By 2032, it’ll be worth $771.8 billion (approx. €712 billion). That means the machine learning industry will grow by an average of 35.09% per year between now and 2032.

That growth means one thing:

The industry is going to be looking for people with a machine learning engineer education.

If you pursue a machine learning engineer degree with an accredited institution – such as OPIT – you stand to be at the forefront of one of the fastest-growing industries in the world.

Machine Learning Engineer Education: The Foundation of Your Career

You’ll require a bachelor’s degree in a relevant field – such as computer science, at the very minimum, to start a career in machine learning. However, most roles ask for more. A master’s degree in a field like data science or software engineering will make you a more attractive candidate.

Those requirements also indicate the core subjects you’ll study when working toward a degree for machine learning engineer roles. Math, computer science, statistics, and computer science are all fundamentals that are vital to the industry.

As you move onto the master’s track, you’ll start learning more advanced machine-learning concepts, such as algorithms and data analysis.

Degree for Machine Learning Engineer: Choosing the Right Program

Signing up for the first machine learning engineer bachelor’s degree you find is rarely a wise course of action. You need to weigh your options carefully before choosing a course, with the following factors coming into play:

  • Course Content and Curriculum – Look for degrees that include machine learning-specific components – such as feature engineering and model evaluation – ideally with a practical aspect that gives you real-world experience.
  • Course Faculty – The “real-world experience” point also applies to your course’s faculty. The best programs are created by those who have experience in the machine learning industry. They understand what employers want to see, as well as the likely applications for the technical knowledge you’ll develop.
  • Institution Accreditation – A lack of accreditation hurts the credibility of your machine learning engineer degree. Look for a program that’s accredited by a relevant authority, such as the European Qualifications Framework (EQF).
  • The Cost – Master’s degrees in Europe can cost anywhere between €8,000 and €45,000, with the total you’ll pay being a determining factor for which degree you choose. Try to find a balance between the cost and the credibility of the organization offering the degree.

OPIT’s degree programs offer the ideal blend of these factors. They’re affordable – with tuition costing as little as €2,250 per term – and designed by faculty with real-world experience in the machine learning and computer science sector. They’re also accredited by the previously mentioned EQF.

Best Online and Offline Master Programs for Machine Learning Engineering

With the above factors considered, your next choice comes down to location:

Do you study offline or on?

The online course format delivers flexibility, though it means you don’t get to enjoy the on-campus lifestyle. Regardless of which you prefer, the following are the five top machine learning engineer degree courses available in Europe:

OPIT – MSc in Applied Data Science & AI

Beyond excelling in all of the above factors, OPIT’s MSc course offers a mix of live and pre-recorded content to make the online learning experience more interactive. There are no final exams – a relief for students who hate pressure-filled situations – with the course instead focusing on practical assignments with real-world applications.

University of Oxford – MSc in Advanced Computer Science

Offered by one of the U.K.’s leading universities, this MSc takes a broad approach to the AI sector, with machine learning as one of several components. It also covers cybersecurity and the emergence of AI in the medical field. A typical week involves 35 hours of study, eight of which are lectures, with another four covering practical sessions.

University of Cambridge – MPhil in Machine Learning and Machine Intelligence

An 11-month program, this master’s degree covers machine learning, as well as computer vision and robotics, speech and language processing, and how humans interact with computers. Practical exercises also give you a chance to work with Ph.D. students in the machine learning field.

KU Leuven – MSc of Artificial Intelligence

A multidisciplinary program, this master’s degree accepts students with backgrounds in subjects like psychology and economics. As such, it’s a good choice for those who have completed a bachelor’s degree in a non-tech subject and don’t want to restart their education careers. It covers the fundamentals but practically-minded students should beware – the course emphasizes technical knowledge.

Technical University of Munich – Data Engineering and Analytics MSc

Another on-campus degree, TUM’s course covers machine learning, along with key data science techniques such as computer vision and scientific visualization. But the focus is on Big Data – the driving force in everything from machine learning to self-driving vehicles.

The Future of Technology: Machine Learning Applications

You’ve seen the expected industry growth for the machine learning industry, but what about the applications of the knowledge you’ll gain from your machine learning engineer degree?

Simply put – the degree will apply to almost every industry, with a handful of examples including:

  • Facial recognition technology development
  • Financial fraud detection
  • Enhanced analytics for the healthcare sector
  • Predictive analytics
  • Generative AI programs, such as ChatGPT

Online Education Advantages: Flexibility and Accessibility

Let’s assume you’d like to study to become a machine learning engineer but don’t want the on-campus experience for whatever reason. Are online degrees as valuable as their traditional counterparts?

They are, as long as the program is provided by an accredited institution like OPIT. Plus, studying online provides more flexibility in your learning schedule – giving you autonomy in how you complete your studies – and isn’t as individualistic an experience as it seems. For instance, OPIT schedules live video lectures, offers pre-recorded sessions, and creates opportunities for students to work together on real-world projects.

OPIT’s Master’s and Bachelor’s Programs That Help You Become a Machine Learning Engineer

There’s one more thing left to do:

Choose a machine learning engineer degree. OPIT offers three courses that set you on the path to a career in machine learning.

BSc in Modern Computer Science

Think of this course as a foundational machine learning engineer bachelor’s degree. You’ll combine learning about AI with the fundamentals of computer science – programming, data science, and database management, all included.

MSc in Responsible Artificial Intelligence

For those concerned about the ethical implications of AI, the MSc in Responsible Artificial Intelligence covers the machine learning bases. But it also shows you how to use what you’ve learned ethically to create sustainable AI systems.

MSc in Applied Data Science & AI

A more traditional degree for prospective machine learning engineers, this course builds on the previously mentioned BSc, with a specific focus on overcoming real-world problems using machine learning.

Choose OPIT

With the machine learning sector set for such pronounced growth, earning a specialized degree in the field now could set up your career for decades to come. Trust OPIT to provide that degree – it’s an EQF-approved online institution with exceptional degree programs.

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E-book: AI Agents in Education
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Sep 15, 2025 3 min read

From personalization to productivity: AI at the heart of the educational experience.

Click this link to read and download the e-book.

At its core, teaching is a simple endeavour. The experienced and learned pass on their knowledge and wisdom to new generations. Nothing has changed in that regard. What has changed is how new technologies emerge to facilitate that passing on of knowledge. The printing press, computers, the internet – all have transformed how educators teach and how students learn.

Artificial intelligence (AI) is the next game-changer in the educational space.

Specifically, AI agents have emerged as tools that utilize all of AI’s core strengths, such as data gathering and analysis, pattern identification, and information condensing. Those strengths have been refined, first into simple chatbots capable of providing answers, and now into agents capable of adapting how they learn and adjusting to the environment in which they’re placed. This adaptability, in particular, makes AI agents vital in the educational realm.

The reasons why are simple. AI agents can collect, analyse, and condense massive amounts of educational material across multiple subject areas. More importantly, they can deliver that information to students while observing how the students engage with the material presented. Those observations open the door for tweaks. An AI agent learns alongside their student. Only, the agent’s learning focuses on how it can adapt its delivery to account for a student’s strengths, weaknesses, interests, and existing knowledge.

Think of an AI agent like having a tutor – one who eschews set lesson plans in favour of an adaptive approach designed and tweaked constantly for each specific student.

In this eBook, the Open Institute of Technology (OPIT) will take you on a journey through the world of AI agents as they pertain to education. You will learn what these agents are, how they work, and what they’re capable of achieving in the educational sector. We also explore best practices and key approaches, focusing on how educators can use AI agents to the benefit of their students. Finally, we will discuss other AI tools that both complement and enhance an AI agent’s capabilities, ensuring you deliver the best possible educational experience to your students.

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OPIT Supporting a New Generation of Cybersecurity Leaders
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 28, 2025 5 min read

The Open Institute of Technology (OPIT) began enrolling students in 2023 to help bridge the skills gap between traditional university education and the requirements of the modern workplace. OPIT’s MSc courses aim to help professionals make a greater impact on their workplace through technology.

OPIT’s courses have become popular with business leaders hoping to develop a strong technical foundation to understand technologies, such as artificial intelligence (AI) and cybersecurity, that are shaping their industry. But OPIT is also attracting professionals with strong technical expertise looking to engage more deeply with the strategic side of digital innovation. This is the story of one such student, Obiora Awogu.

Meet Obiora

Obiora Awogu is a cybersecurity expert from Nigeria with a wealth of credentials and experience from working in the industry for a decade. Working in a lead data security role, he was considering “what’s next” for his career. He was contemplating earning an MSc to add to his list of qualifications he did not yet have, but which could open important doors. He discussed the idea with his mentor, who recommended OPIT, where he himself was already enrolled in an MSc program.

Obiora started looking at the program as a box-checking exercise, but quickly realized that it had so much more to offer. As well as being a fully EU-accredited course that could provide new opportunities with companies around the world, he recognized that the course was designed for people like him, who were ready to go from building to leading.

OPIT’s MSc in Cybersecurity

OPIT’s MSc in Cybersecurity launched in 2024 as a fully online and flexible program ideal for busy professionals like Obiora who want to study without taking a career break.

The course integrates technical and leadership expertise, equipping students to not only implement cybersecurity solutions but also lead cybersecurity initiatives. The curriculum combines technical training with real-world applications, emphasizing hands-on experience and soft skills development alongside hard technical know-how.

The course is led by Tom Vazdar, the Area Chair for Cybersecurity at OPIT, as well as the Chief Security Officer at Erste Bank Croatia and an Advisory Board Member for EC3 European Cybercrime Center. He is representative of the type of faculty OPIT recruits, who are both great teachers and active industry professionals dealing with current challenges daily.

Experts such as Matthew Jelavic, the CEO at CIM Chartered Manager Canada and President of Strategy One Consulting; Mahynour Ahmed, Senior Cloud Security Engineer at Grant Thornton LLP; and Sylvester Kaczmarek, former Chief Scientific Officer at We Space Technologies, join him.

Course content includes:

  • Cybersecurity fundamentals and governance
  • Network security and intrusion detection
  • Legal aspects and compliance
  • Cryptography and secure communications
  • Data analytics and risk management
  • Generative AI cybersecurity
  • Business resilience and response strategies
  • Behavioral cybersecurity
  • Cloud and IoT security
  • Secure software development
  • Critical thinking and problem-solving
  • Leadership and communication in cybersecurity
  • AI-driven forensic analysis in cybersecurity

As with all OPIT’s MSc courses, it wraps up with a capstone project and dissertation, which sees students apply their skills in the real world, either with their existing company or through apprenticeship programs. This not only gives students hands-on experience, but also helps them demonstrate their added value when seeking new opportunities.

Obiora’s Experience

Speaking of his experience with OPIT, Obiora said that it went above and beyond what he expected. He was not surprised by the technical content, in which he was already well-versed, but rather the change in perspective that the course gave him. It helped him move from seeing himself as someone who implements cybersecurity solutions to someone who could shape strategy at the highest levels of an organization.

OPIT’s MSc has given Obiora the skills to speak to boards, connect risk with business priorities, and build organizations that don’t just defend against cyber risks but adapt to a changing digital world. He commented that studying at OPIT did not give him answers; instead, it gave him better questions and the tools to lead. Of course, it also ticks the MSc box, and while that might not be the main reason for studying at OPIT, it is certainly a clear benefit.

Obiora has now moved into a leading Chief Information Security Officer Role at MoMo, Payment Service Bank for MTN. There, he is building cyber-resilient financial systems, contributing to public-private partnerships, and mentoring the next generation of cybersecurity experts.

Leading Cybersecurity in Africa

As well as having a significant impact within his own organization, studying at OPIT has helped Obiora develop the skills and confidence needed to become a leader in the cybersecurity industry across Africa.

In March 2025, Obiora was featured on the cover of CIO Africa Magazine and was then a panelist on the “Future of Cybersecurity Careers in the Age of Generative AI” for Comercio Ltd. The Lagos Chamber of Commerce and Industry also invited him to speak on Cybersecurity in Africa.

Obiora recently presented the keynote speech at the Hackers Secret Conference 2025 on “Code in the Shadows: Harnessing the Human-AI Partnership in Cybersecurity.” In the talk, he explored how AI is revolutionizing incident response, enhancing its speed, precision, and proactivity, and improving on human-AI collaboration.

An OPIT Success Story

Talking about Obiora’s success, the OPIT Area Chair for Cybersecurity said:

“Obiora is a perfect example of what this program was designed for – experienced professionals ready to scale their impact beyond operations. It’s been inspiring to watch him transform technical excellence into strategic leadership. Africa’s cybersecurity landscape is stronger with people like him at the helm. Bravo, Obiora!”

Learn more about OPIT’s MSc in Cybersecurity and how it can support the next steps of your career.

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