The Master of Data Science in Engineering degree program takes 2 years, with 4 quartiles per year. The program consists of the following components:
- Core courses – selection of 6 from:
- Process Mining
- Data Mining
- Real-life data challenges
- Statistics for Big Data
- Statistical Learning Theory
- Probability and Stochastic Processes
- Final project
The electives prepare you for your specialization. There is a wide variety of courses to choose from in computer science, mathematics, as well as courses in human-technology interaction, business models and operations management expertise and skills.
The research of the Department of Mathematics and Computer Science focuses on mathematical applications and the design of innovative software systems.
The AI-group primarily focuses on the fundamentals, techniques, and tools/frameworks for successful applications of AI. It strenghtens the...
The Combinatorial Optimization group focuses on the analysis and solution of discrete algorithmic problems that are computationally...
The Database (DB) group studies core engineering and foundational challenges in scalable and effective management of Big Data.
Stochastic Operations Research
SOR is concerned with complex systems that operate under randomness and uncertainty, and aims to develop mathematical models and techniques...
Visualization research develops new methods to present large data collections in new insightful ways.