The MSc Specialisation Data Science equips students with a broad basis in statistics combined with state-of-the-art knowledge in Data Science through collaboration between the Mathematical Institute and the Leiden Institute of Advanced Computer Science. Some of the key words are Databases, Advances in Data Mining, Networks, Pattern Recognition, and Deep Learning.
Students will gain a thorough knowledge and understanding of statistical models, especially in relation to Data Science, including their application and interpretation in a broad range of empirical research. They are able to critically study scientific research and develop new models and techniques.
Students learn practical skills such as statistical programming, statistical consultation, database management and written and oral presentation of analysis and research results.
In addition to this Statistical Science specialization offered by the partnering universities at the Mathematical Institute, a similar Data Science option is offered at the LIACS for Computer Science master students interested in the role of statistics. One of the highlights of both these Data Science specializations is the course “Introduction to Data Science”, in which both student groups meet for interesting field trips, programming assignments, lectures and guest speakers.
The Statistical Science: Data Science specialization is structured as follows:
|Statistics and Probability||9|
|Mathematics for Statisticians||3|
|Statistical Computing with R||6|
|Linear & Generalized Linear Models and Linear Algebra||9|
|Multivariate and Multidimensional Data Analysis||6|
|Mixed and Longitudinal Modelling||6|
|Advanced Statistical Computing||3|
|Introduction to Data Science||3|
|Statistical Learning Theory||6|
|High-Dimensional Data Analysis||6|
|Advances in Data Mining||6|
|Elective Courses (choose 1 course)||EC|
|Internship, Master Thesis||EC|
Together this makes a total of 120 ECTS. Find more information about our other specialization here.
NB. The programme might change from year to year. Always look at the Course and Examination Rules of the year you started your study.