Increasing computer power and the professional need to extract objective information from observed data have led to complex databases. Statistical science has become a broad discipline with well-developed methods and techniques for the design and analysis of a wide range of empirical studies.
Information obtained from correctly analysed data allows to predict, adjust and even optimise processes based on evidence. Inefficient or haphazard data gathering and analysis, however, can lead to inferior or misleading conclusions with possibly far-reaching consequences.
- Hence, international professional and research standards in various fields demand high quality data analysis, performed by qualified statisticians. This programme offers intensive training in modern statistical methods and data analysis to scientists from a variety of fields including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences …
The programme aims at improving problem solving skills and evidence based decision making. This will enable scientists to play a distinctly important role within their field of expertise.
The programme (60 credits) consists of mandatory general courses (25 credits), elective courses (20 credits) and a master dissertation (15 credits).
In every course, the theory is supported by projects and assignments in order to develop skills of practical data analysis. It thus provides hands-on experience with real data.
- The programme is taken either as a one year full-time programme or it can be spread over two or more years. Several courses are taught in the evening.
During the second term the students finish the master dissertation. The master dissertation provides students with the unique opportunity to learn first-hand from an experienced statistician how the statistical method gets applied to solve real world problems. This is an important component of the programme.
Students report on their methods and results both orally and in writing.
Students who successfully finish the master programme have acquired an advanced level of statistical knowledge and data analytical skills. They are ready to contribute as independent experts to a multidisciplinary team that designs, performs, analyses and reports applied scientific research. There is a great demand in industry, banking, government, academia and research centres (both the profit as the non-profit making sector).
- The masters are trained to handle practical problems in an objective scientific manner and to obtain insight in the structure of data and the underlying model. Our masters have been encouraged to think critically and be creative problem solvers.
Computational skills, flexibility, efficiency and a positive attitude towards lifelong learning are important qualities and indispensable for a successful career.