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).
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.
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.
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.
You can apply until:
Always verify the dates on the programme website.
You can choose to do this programme part-time or full-time.Full-time
You only need to take one of these language tests:
Minimum required score:
The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.Schedule TOEFL®
Minimum required score:
The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.
The programme offers a profound training in design, analysis and reporting of empirical research. It is meant for students who already have a master's degree or equivalent (a 4-year programme at a minimum) from study fields carrying enough mathematical, statistical and computing background within different faculties.
Applicants should have obtained an end result of at least second class upper or equivalent in the discipline leading up to our program. Foreign students are expected to submit their grade sheets and each application will be evaluated by the Program Committee for admission.
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.