Master of Science in Statistical Data Analysis

Increasing computer power and the professional need to extract objective information from observed data have led to complex databases. International professional and research standards in various fields demand high quality data analysis, performed by qualified statisticians. The Statistical Data Analysis programme offers scientists from a variety of fields intensive training in modern statistical methods and data analysis.

Subsequent Master's Programme
1 year 60 credits
Faculty of Sciences
English
download brochure 
About the programme
Programme summary
Find out more
Off to a good start
After graduation

What

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, possibly with far-reaching consequences. Hence, international professional and research standards in various fields demand high quality data analysis, performed by qualified statisticians. This programme offers scientists from a variety of fields including biology, bioinformatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences, … intensive training in modern statistical methods and data analysis. 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.

For whom

The admission requirements depend on your prior education (type of degree, country of issue etc.) or additional experience.

Structure

The curriculum (60 ECTS) consists of mandatory general course units (12 ECTS), course units specific to the chosen main subject (33 ECTS), and a Master’s dissertation (15 ECTS). In every course unit, the theory is supported by projects and assignments in order to develop skills of practical data analysis. In so doing, we provide hands-on experience with real data. You can take this programme either as a full-time one-year programme, or stagger it across two or more years. Several of our course units are taught in the evening. The curriculum consists of two main subjects.

main subject Statistical Science
This track provides a solid basis in statistical thinking and methodology, with a focus on understanding and applying statistical concepts and bridging the world of statistics and that of empirical sciences. A wide variety of elective course units allows students to tailor the curriculum to their own background and interests. Our lecturers are active researchers, and collaborate on projects with the industry and with society. Our elective course units offer modern statistical methods with a strong emphasis on application. Statistical Science graduates are all-round statisticians.

main subject Computational Statistics
The generation of increasingly complex and massive data sets means that statisticians need to work together with data managers and computer scientists now more than ever. This means that statisticians are expected to know the basics of databases, data management and data access. Many companies ask their statisticians to implement code to be able to perform highly specific data analysis tasks. This coding goes beyond the traditional statistical software packages such as SAS or R, and also involves other modern programming languages (e.g. Python, Perl, ...). The Computational Statistics main subject offers a balanced curriculum with course units on statistical data analysis methods as well as on databases and programming skills. This main subject aims particularly at students with solid computer skills and an aptitude for algorithmic thinking. During the second term, the students work on their Master’s dissertation. The Master’s dissertation is a unique opportunity for students to learn first-hand from an experienced statistician how to apply statistical methods to solve real-world problems. This is an important component of the programme. Students report on their research methods and results orally and in writing.

Labour Market

Students who finish the Master's programme successfully, have acquired an advanced level of statistical knowledge and data analytical skills. As independent experts, they are ready to contribute to multidisciplinary teams that design, perform, analyse and report on applied scientific research. Our graduates are in high demand in the industry, the banking sector, in government, in academia and research centres (in the profit as well as in the non-profit production sector). Our graduates are trained to handle practical problems in an objective scientific manner, and to gain insight into data structures and the underlying data models. Throughout the programme, we encourage their critical thought and creative problem-solving skills. Computational skills, flexibility, efficiency and a positive attitude towards lifelong learning are important qualities and indispensable for a successful career.