Master of Statistical Data Analysis
The Master of Statistical Data Analysis is a one-year advanced master program, but as a part student it can be completed in 2 to 4 years. The program offers training in modern statistical methodology, computational statistics, and data analysis from a wide variety of fields, including biology, bio-informatics, economy and marketing, environmental and life sciences, engineering, mathematics and physics, psychology and social sciences.
We train scientists to become responsible and professional statisticians who can work in multidisciplinary teams and who are equipped with creative problem solving skills, a firm basis of statistical thinking and knowledge of modern statistical/computational methods and their applications.
Please check out the prerequisites for this program!
From 2016 onwards the program offers two majors: statistical science and computational statistics.
Our fresh alumnus Tom Van De Wiele finished 1st out of 1212 participants of the Kaggle data science competition. Congratulations!
News from our alumni
Our fresh alumnus Tom Van De Wiele finished 1st out of 1212 participants of the Kaggle data science competition `Facebook V: Predicting Check Ins', where the goal was to predict which place a person would like to check in to. For the purposes of this competition, Facebook created an artificial world consisting of more than 100,000 places located in a 10 km by 10 km square. For a given set of coordinates, the task was to return a ranked list of the most likely places. Data was fabricated to resemble location signals coming from mobile devices, giving a flavor of what it takes to work with real data complicated by inaccurate and noisy values. Inconsistent and erroneous location data can disrupt experience for services like Facebook Check In. You can find more details on his blog post. Congratulations, Tom!
On 20 May 2016, the Netherlands Society of Parasitology and the Belgian Society of Parasitology and Protistology awarded the Merial Award to our alumnus Dr. Bruno Levecke for his research in parasitology, particularly for his ongoing work on helminth infections in tropical countries at Ghent University, which arose from his Master thesis in Statistical Data Analysis. The Merial Award is a professional prize for young, promising researchers in the field of veterinary or medical parasitology. The award consists of a certificate and pecuniary donation of € 3000. It is meant to encourage further professional ambitions in parasitology in the Benelux and to reward the scientific quality and the active spread of research. Congratulations, Bruno!
Below you can find a description of the work:
Helminths such as roundworms, whipworms, and hookworms infect millions of children in tropical countries, resulting in malnutrition, growth stunting, and cognitive deficits. To fight against these worms, large-scale deworming programs are implemented in which anthelminthic drugs are administered to schoolchildren. These large-scale deworming programs, however, increase the risk of drug resistance. Since 2009, Dr. Levecke has, in close collaboration with the World Health Organization, been working towards innovative operational strategies that allow monitoring changes in drug efficacy due to emerging resistance. Dr. Levecke has developed a mathematical framework that guides program managers in designing surveys (e.g. required sample sizes and diagnostic strategy), and hence provides them with the flexibility to minimize both financial and technical resources, while assuring a reliable surveillance of drug efficacy. To bridge the gap between this framework and the end-users, he developed an online tool (https://paradesign.shinyapps.io/paradesign/) which, since April 2015, has been accessed by approximately 4,000 users around the world. Moreover, he evaluated novel diagnostic techniques and pooling of samples as an alternative strategy for rapidly assessing helminth infections. In addition, he coordinated a variety of clinical trials across Africa, Asia and Latin-America aimed at assessing the efficacy of anthelminthic drugs. His work formed the basis for revising the World Health Organization guidelines for monitoring drug efficacy.