BSc in Data Science and Artificial Intelligence
Maastricht, Netherlands
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
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TUITION FEES
EUR 2,314 / per year **
STUDY FORMAT
On-Campus
* 1 May for non-Eu students | 1 June for EU students
** tuition fees 2023/2024: EU students: €2,314 | non-EU students €13,000
Introduction
What are data science and artificial intelligence?
Data Science is the science that extracts knowledge from large amounts of data, no matter its origin. Take, for instance, an MRI scanner. It gathers huge amounts of data that are transformed into a photograph of a patient’s organs with the help of Data Science. A doctor can use the photograph to look for abnormalities.
Artificial Intelligence, on the other hand, is about creating systems that behave rationally. These systems can act on their own to solve problems for which you did not program them. Just think of the MRI images again. Artificial intelligence can automatically detect abnormalities and report them to the doctor.
Both Data Science and Artificial Intelligence have applications in all sorts of fields. Logistics, healthcare, gaming, IT, and robotics are but a few of your options.
Why this program teaches both
Data Science and Artificial Intelligence are closely linked. Because the amount of data keeps growing, Data Science increasingly relies on Artificial Intelligence to automate decision-making and to find patterns that would be difficult to discover manually. Vice versa, Artificial Intelligence relies on methods from Data Science to make sense of its surroundings and make smart choices.
Long story short: if you want to excel in either discipline, you need deep knowledge of both. We are here to help you obtain exactly that.
Fast Facts
- #1 Artificial Intelligence bachelor’s program in the Netherlands (Keuzegids 2023)
- Focuses on the technical aspects of Data Science and Artificial Intelligence
- Project-centered Learning brings context and meaning to your courses
- Develop real-life skills like documenting, presenting, and working in a group
- 3-year, English-taught program resulting in a Bachelor of Science degree
- Weekly: 16 hours classes, 4 hours projects, 20 hours independent study
Admissions
Curriculum
First-year courses
- Introduction to Data Science and Artificial Intelligence
- Procedural Programming
- Discrete Mathematics
- Objects in Programming
- Calculus
- Logic
- Project 1-1
- Linear Algebra
- Data Structures and Algorithms
- Principles of Data Science
- Computational and Cognitive Neuroscience
- Software Engineering
- Numerical Methods
- Project 1-2
Second-year courses
- Databases
- Probability and Statistics
- Graph Theory
- Reasoning Techniques
- Machine Learning
- Simulation and Statistical Analysis
- Project 2-1
- Human-Computer Interaction & Affective Computing
- Mathematical Modelling
- Philosophy & Artificial Intelligence
- Linear Programming
- Natural Language Processing
- Project 2-2
Third-year courses
- Computer Security
- Digital Society
- Game Theory
- Semantic Web
- Recommender Systems
- Robotics and Embedded Systems
- Software and Systems Verification
- Logic for Artificial Intelligence
- Parallel Programming
- Large-Scale IT and Cloud Computing
- Introduction to Quantum Computing
- Introduction to Bio-Informatics
- Project 3-1
- DACS Honours Programme - KE@Work (3-1)
- DACS Honours Programme - MaRBLe 2.0 (3-1)
- Study Abroad
Rankings
Data Science and Artificial Intelligence have been ranked as the #1 'Artificial Programme' bachelor's program in the Dutch University Guide: Keuzegids 2023 with a score of 60 points.
Program Tuition Fee
Career Opportunities
Since we started the bachelor's program, the demand for experts in Data Science and Artificial Intelligence has shot through the roof. Our diplomas offer excellent job prospects both within and outside of the Netherlands. However, before you start working you may want to further your knowledge by participating in one of our master’s programs.
Our graduates work as:
- Team Lead Data Science at Bol.com
- Research scientist at Facebook AI Research
- Chief Technology Officer at my tomorrows
- Data and Software Engineer at the European Space Agency
- Senior Program Manager Business Operations at Tesla
- Ph.D. student at University College London
- Consultant Financial Advisory & Analytics at Deloitte
- Methodologist at CBS (Statistics Netherlands)
- Senior Algorithm Software Engineer at Pie Medical Imaging