Mathematics in Data Science
M.Sc.
Overview
Data-driven technologies open up a wide range of ground-breaking developments and applications – from machine learning to autonomous vehicles, smart grids, or innovative medical diagnostics. Students of the Master’s degree program Mathematics in Data Science (M.Sc.), predominantly taught in English, learn to understand, develop, and apply technologies for collecting, storing, evaluating, and securing large amounts of data.
The program focuses on methods and algorithms from statistics, machine learning, optimization, and data representation theory and familiarizes students with specific data analysis techniques. They acquire an in-depth understanding of mathematical methods for modeling and analyzing very large amounts of data and for calculating, simulating, and predicting complex phenomena, for example, in customer behavior, economic development, or medical diagnostics and therapy. They learn to develop mathematical analysis models and complex prediction models. In doing so, they deal intensively with the technical and methodological foundations of data storage and backup and critically reflect on the social and ethical implications of developing and applying data-driven technologies.
Graduates of the program are experts in evaluating and utilizing large amounts of data on the basis of complex mathematical models. They are able to evaluate and develop methods for data preparation and data analysis and use them in accordance with requirements. They are thus excellently qualified for further work in academic research as well as for leading positions in tech companies.
Structure
This program places an emphasis on methods and algorithms from statistics, machine learning, optimization, and the theory of data representation. The focus lies in the theoretical and practical aspects of data engineering, data analysis, machine learning, and data science. In addition, students are to attend interdisciplinary courses such basic law classes, and also lectures on the social and political implications of “Big Data” and Artificial Intelligence.
Costs
Tuition
HK$97,347.36
(international)
HK$0.00
(home)
Funding
Admissions
Qualifications
Selection takes place through an aptitude assessment procedure. Aptitude assessment is a procedure after the submission of an official application to a program. In this procedure, the TUM school determines whether you meet the specific requirements for its master’s degree program.
In the initial stages, the competencies you obtained during your bachelor's program, as well as your written documents, will be evaluated using a point system. Depending on the amount of points accumulated, applicants are either immediately admitted, rejected or invited to an admissions interview.
Language requirements
TOEFL
88