When deciding what to study you undoubtedly read a lot of information about your study programme. Leiden University employs various systems to provide information about programmes and courses and to facilitate communication between lecturers and students.
The e-prospectus contains information about all the courses within your study programme. Here you can find all you need to know about your programme. Via Blackboard you can communicate with your lecturers and submit assignments.
The Course and Examination Regulations (OER in Dutch) and the Rules and Regulations set by the Boards of Examiners (R&R) can be found on the page Faculty and study programme regulations.
The Computer Science and Advanced Data Analytics master programme offers future-oriented topics in computer science, with a focus on both foundations and applications of advanced algorithms and techniques. In this programme, you will learn to discover meaningful patterns in data (= Data Analytics) via advanced data mining, optimization, and decision support techniques. The motto of the master is Smart Computing for Science and Society, pointing to the manifold collaborations with other disciplines (= for Science), with companies and with organizations (= for Society), and to the strong emphasis on connecting research with applications within the programme.
The technical areas covered within our master include the following:
- Data Mining
- Embedded Systems
- Foundations of Computer Science
- Formal Methods
- Imaging and Bioinformatics
- Advanced Algorithms
- Multimedia Systems
- Natural Computing
- Technology and Innovation management
Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others:
- Bioinformatics and Life Sciences, Medicine, Pharma
- Engineering Applications
- Logistics Applications
- Energy and Utility related Applications
- Financial Applications
The Computer Science programme has the following specialisations:
- Computer Science and Advanced Data Analytics, a programme related to the research areas of LIACS.
- Data Science.
- Computer Science and Science Based Business
- Computer Science and Communication & Society
- Computer Science and Education
The duration of the study is 24 months (full time), starting September 1 or February 1 (specialization only February 1). This corresponds with 120 EC (1 EC = 28 hours of work).