BSc in Artificial Intelligence

Year 1

In the first year of the Bachelor's programme in Artificial Intelligence, you will study computer science, mathematics, robotics, psychology and logic. You will also learn skills and techniques for conducting research, including statistics and how to design an experiment. The courses that are offered are displayed below.

Compulsory courses

• Academic Reading & Writing 2EC
• Programming 1 3EC
• Introduction Artificial Intelligence 3EC
• Calculus l 3EC
• Introduction to Formal Reasoning 6EC
• Cognitive Psychology 3EC
• Programming 2 3EC
• Linear Algebra 3EC
• Probability Theory 3EC
• Personal & Professional Development l 2EC
• Research Design & Scientific Method 2EC
• AI Lab Skills 3EC
• Object Oriented Programming 6EC
• Human-Computer Interaction 6EC
• Introduction Robotics 6EC
• Frequentist Statistics 3EC
• Brain 3EC
• RADAr: Academic Language Proficiency 0EC

Year 2

In the second year, you will be able to expand the depth and breadth of your knowledge of programming, mathematics, statistics and modelling skills. Furthermore, you will explore both the brain and the computer in greater depth.

Compulsory courses

• Functional Programming 3EC
• Applied Mathematics 6EC
• Artificial Intelligence: Principles and Techniques 6EC
• Societal Impact of AI 6EC
• Data Mining 6EC
• Calculus ll 3EC
• Natural Language Processing 3EC
• Professional Skills 2 3EC
• Reinforcement Learning 3EC
• Deep Learning 6EC
• Bayesian Statistics 6EC
• Philosphy of Science 3EC
• Cognitive Computational Neuroscience 3EC
• Knowledge Representation 3EC

Year 3

In the third year of the Bachelor's programme in Artificial Intelligence, you will choose 24 EC from the Restricted Elective courses and 24 EC Free Electives (some suggestions to fill in the free electives can be consulted in the ‘Recommended free electives') that personally interest you from this or other faculties of the university. Furthermore, the third year offers the opportunity of studying abroad and deepen your knowledge at one of our partner universities.

Elective Courses

• Cognitive Neuropsychology 6EC
• Brain-Computer Interfacing 6EC
• Information Modelling and Databases 6EC
• Theoretical Modeling for Cognitive Science 6EC
• Signal analysis and MATLAB 4EC
• AI in the Connected World 3EC
• Big Data 6EC
• Modern Software Development Techniques 6EC
• AI as a Science 3EC
• Multi Agent Systems 3EC

Elective courses are courses that you choose to take as part of a predetermined list of courses within your degree programme.

Free electives

• Free choice electives 24C

Free electives are courses taken in addition to required and elective courses but that do not need to relate to your degree programme.

Thesis & research

• Bachelor thesis 12EC

Student satisfaction

On a scale of 1 to 5

This Programme - 3.8

National Average for this programme - 3.8

What will you learn

Groundbreaking insights are often found at the crossroads of disciplines. The vibrant and interdisciplinary field of Artificial Intelligence is a good example of this. We study human cognition in order to be able to understand and model artificial intelligence, with the aim of creating smarter computers and robots. In addition to mathematics, computing science and other exact sciences, you will be studying psychology, neuroscience, logic and linguistics. After all, you will first need to know how the human brain works before you can start creating smart computers and robots. Conversely, computer models that mimic these brain processes can be quite useful in understanding the human brain. Artificial is a young dynamic field in which there is much to discover!

Credits:180 ECTS

What will you learn?

Groundbreaking insights are often found at the crossroads of disciplines. The vibrant and interdisciplinary field of Artificial Intelligence is a good example of this. We study human cognition to be able to understand and model artificial intelligence, to create smarter computers and robots. In addition to mathematics, computing science, and other exact sciences, you will be studying psychology, neuroscience, logic, and linguistics. After all, you will first need to know how the human brain works before you can start creating smart computers and robots. Conversely, computer models that mimic these brain processes can be quite useful in understanding the human brain. Artificial is a young dynamic field in which there is much to discover!

After obtaining your Bachelor's degree you can enter the labor market. However, most students opt to continue to a Master's degree. Obtaining a Master's degree gives you several advantages, including increasing your career opportunities. With a bachelor's degree in Artificial Intelligence at Radboud University you can progress to:

• Master's Program in Artificial Intelligence
• Master's Program in Information Sciences
• Research Master's Program in Behavioural Science
• Research Master's Program in Cognitive Neuroscience

After your studies

After you have completed your studies, work is available in a wide range of sectors, including: education, research, healthcare, telecommunications, ICT, investigations (including crime scene investigations), transport or financial services – basically, wherever there is a need for intelligent systems. Therefore, many of our students are hired even before graduating.

Possible occupations

• Data scientist
• Developer
• Innovation Manager
• Scientific Researcher

Continuing your studies

After obtaining your Bachelor's degree you can enter the labor market. However, most students opt to continue on to a Master's degree. Obtaining a Master's degree gives you several advantages, including increasing your career opportunities. With a bachelor's degree in Artificial Intelligence at Radboud University you can progress to:

• Master's programme in Artificial Intelligence
• Master's programme in Information Sciences
• Research Master's programme in Behavioural Science
• Research Master's programme in Cognitive Neuroscience