Applied Data Science and Artificial Intelligence
Applied Data Science and Artificial Intelligence

Applied Data Science and Artificial Intelligence

In a world where cars can drive themselves, doctors can predict and detect diseases early on using smart algorithms, and sustainable energy solutions can be optimized to meet our growing demands. That's the power of applied data science and AI. It's not just about numbers and algorithms, but about crafting solutions that enhance our daily lives.

Please note that the Applied Data Science and Artificial Intelligence programme is still awaiting accreditation by the NVAO. You cannot yet apply for this programme via Studielink. Please email applied.ai@zuyd.nl and we will keep you informed.

  • Location Maastricht
  • Duration 4 years, start in September
  • Language English
About the Education

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What will you learn?

In the Applied Data Science and AI programme, you will learn both the theoretical and practical aspects of this dynamic field. You'll dive deep into programming, unraveling the intricacies of algorithms and data structures. Our mathematical courses will equip you with essential analytical tools essential for tackling complex challenges.

But it's not just about numbers and algorithms. You'll explore the human side of technology, understanding how cognitive science intersects with tech, and ensuring the solutions you design are not only functional but also intuitive and user-friendly.

As you progress, hands-on experience in areas like software and data engineering will become second nature. You'll learn how to apply Data Science and AI responsibly in real-world situations. This comprehensive approach will transform you into a problem solver and innovator.

Check out our Miroboard where you will find all kinds of practical information for a successful launch at the Applied Data Science and Artificial Intelligence programme.

What does your week look like?

You'll attend lectures and group discussions in an international setting and collaborate on projects in small groups.

You'll spend an average of 40 hours per week on your studies. A significant portion of the programme focuses on regional innovations. For example, you’ll work on projects for the Brightlands Campusses (Health, Smart Services and Chemelot).

You'll have the chance to work on projects that directly impact on, and contribute to the local community (for example via the Brightlands Campusses), ensuring that your learning experience is both globally informed and regionally relevant.

  • Guidance

    At Zuyd, personalized guidance is at the core of our educational approach. From the start of the programme, you'll be paired with a personal study coach who will be your first point of contact for questions or concerns related to your studies. This ensures that you always have someone to turn to for advice and support.

    In addition to individual guidance, as a student of Applied Data Science and AI, you become an integral part of our vibrant learning community. Our community offers opportunities to network with industry professionals, participate in workshops, and attend events that prepare you for your future career. Furthermore, we also organize social activities, which strengthen bonds among students and our local community.

    If you need some additional support in adjusting to the Dutch environment, we offer the ‘study buddy’ programme. Here, you'll be paired with a senior year fellow student who can also support you. This will ensure a smooth integration into your new academic and social environment. The buddy system helps primarily in settling into the local community and culture.

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Zuyd uses third-party content for some elements on its site. This requires cookies.
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Learning activities

  • Lectures: traditional classroom sessions where foundational theories and concepts are presented by our expert lecturers.
  • Group discussions: engage in stimulating discussions with peers, fostering collaborative learning and critical thinking.
  • Practicals: hands-on sessions in our labs and workshops, where you'll apply theoretical knowledge in real-world scenarios.
  • Projects: work in small groups on responsible innovations that benefit the region using the skills and knowledge you've acquired.
  • Self-study: allocate time for independent learning, diving deeper into topics of interest and preparing for assessments.

Internship: gain practical experience and insights into the industry by working with regional companies in the field of Data Science and AI.

Exam

When it comes to the exam, we focus on three key areas: knowledge, skills, and attitude. For the knowledge aspect, you'll face written exams that test your understanding of tools, methods, and theoretical applications. When it comes to skills, we evaluate not just what you know, but how you apply it. This could be through homework assignments or the projects you work on during the course. Attitude is equally important to us as knowledge and skills. We assess your professional behavior, including your intrinsic motivation, how you interact with others, and your awareness of your role in a broader context. This ensures that you're not just academically strong, but also professionally prepared for a great career.

Profiling

During the final two years of the programme, you'll have the opportunity to highlight your expertise in specific areas of Data Science and AI. You can enrich your knowledge and skills in the following five areas:

  • Data Science & AI in Depth

    Dive deeper into the technological and mathematical facets of Data Science and AI. Enhance your technical insight and gain a thorough understanding of advanced algorithms and techniques.

  • AI and Data Interaction

    Explore how AI and data intersect with human experience. Learn to design technologies that are intuitive and user-friendly, with a human-centric approach.

  • Innovations in Healthcare

    Delve into the revolutionary impact of Data Science and AI in healthcare. Work on solutions that enhance medical diagnoses, treatments, and patient care.

  • Sustainable innovations in the Industry

    Step into the world of sustainable energy and manufacturing. Utilize AI and Data Science to craft innovative solutions that contribute to a more sustainable future.

  • Responsible Innovations

    Go beyond technology and delve into the ethical side of innovation. Focus on regional challenges like poverty and debts, and craft solutions that are both ethically sound and effective.

study-structure

Structure of the programme

Within our community, you'll have the chance to network with industry professionals, participate in workshops and events, and prepare for your future career. We also organize social activities to strengthen the bonds among students.

  • Year 1

    In your first year, you'll establish a solid foundation in the core areas of Data Science and AI. You'll be introduced to programming, algorithms, and data structures, providing you with the essential skills you'll need throughout the programme. Additionally, you'll delve into Human-Data-Computer Interaction and gain a strong grounding in mathematics, setting the stage for more advanced topics in the years to come.

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    • Introduction to Applied Data Science and Artificial Intelligence
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    • Programming Fundamentals
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    • Discrete Mathematics
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    • Introduction to Human-Data-Computer Interaction
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    • Cognitive Science
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    • Evolutionary AI
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    • Introduction to Software Engineering
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    • Data Structures and Algorithms
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    • Linear Algebra
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    • Introduction to Data Engineering
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    • Design of Interactive Systems
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    • Calculus
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  • Year 2

    Year two takes you deeper into the specialized areas of Data Science and AI. You'll explore machine learning, probability and statistics, equipping you with the analytical tools to tackle complex challenges. This year also introduces you to cutting-edge topics like deep learning and responsible research, broadening your understanding of the field's potential and ethical considerations.

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    • Machine Learning
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    • Probability and Statistics
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    • AI Ops
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    • Deep Learning for Communication
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    • eXtended Reality
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    • Responsible Research and Innovation
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    • Simulation and Operations Research
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    • Intelligent Search
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  • Year 3

    The third year is all about applying your knowledge in real-world settings. You'll spend two quarters as an intern, gaining invaluable industry experience and insights. The other two quarters are dedicated to minors, allowing you to broaden and deepen your knowledge through a variety of profiling courses.

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    • Internship
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    • Minor
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  • Year 4

    In your final year, you'll continue with two more minors, further improving your expertise in specific areas. These minors offer a range of courses that allow you to profile according to your interests and career goals. The culmination of your journey at Applied Data Science and AI will be your thesis, where you'll have the opportunity to apply all the skills and knowledge you've acquired to solve a real-world problem.

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    • Minor
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    • Thesis
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Admission requirements

Admission requirements

Career

After graduation

Career opportunities

The demand for Data & AI specialists in the job market is immense. The Netherlands alone is looking for thousands of Data & AI specialists, analysts, consultants, and engineers. Upon completing the Applied Data Science & Artificial Intelligence programme, you are almost guaranteed a promising career opportunity.

Continue studying

If you first want to further develop your academic skills through a master's programme, there are several options. Our programme has agreements with nearby universities, including Open Universiteit and Maastricht University. These collaborations offer you potential pathways to continue your academic journey. Based on specific agreements, you may have the opportunity to advance to further studies and research in the field without the need for a premaster.