To help you prepare for the start of the programme, the Master in Statistical Data Analysis recommends the following preparatory courses at Ghent University this September.
Mathematics refresher course
Within the BE PLUS programme of Ghent University there is a mathematics refresher course that takes place on the 14th and 15th of September in room 041, Blok A, Campus Coupure (Coupure Links 653, Ghent). For more details see the website and for enrolment you can contact firstname.lastname@example.org.
An introduction to R
To help you get started with R, Joris Meys will give an Introduction to R on Monday the 18th of September from 14-17:30 in PC-room D, Blok A, Campus Coupure (Coupure Links 653, Ghent). Don't forget to bring your laptop to install the necessary software. For more details and for enrolment you can contact Ruth Seurinck.
The programme (60 credits) consists of mandatory general courses (12 credits), major courses (33 credits) and a master’s 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. The program allows students to choose between two majors.
Major Statistical Science
This track provides a firm basis of statistical thinking and methodology, with focus on understanding and applying statistical concepts and bridging the world of statistics with empirical sciences. From a wide variety of elective courses, taught by lectures from different fields of applications, students can compose a curriculum that fits to their background and interests. The lecturers are active researchers and they are involved in projects with industry and society. Through the elective courses students are trained in modern statistical methods with a strong emphasis on applications. Graduates from this major are all-round statisticians.
Major Computational Statistics
With the increasing generation of complex and massive data sets, more than ever statisticians need to collaborate with data managers and computer scientists. They are expected to know the basics of databases, data management and data access. Many companies ask their statisticians to implement code for performing very specific data analysis tasks. This coding goes beyond the traditional statistical software packages such as SAS or R, and involves also other modern programming languages (e.g. Python, Perl ...). The major Computational Statistics offers a balance between courses focusing on statistical data analysis methods and data bases and programming skills. The major is particularly intended for students with a good computer skills and with a good sense for algorithmic thinking. During the second term the students finish the master’s dissertation. The master’s 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's 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).
Computational skills, flexibility, efficiency and a positive attitude towards lifelong learning are important qualities and indispensable for a successful career.