Mathematical Data Science (B.Sc.)
Features
Fit for the digital era: In the degree programme “Mathematical Data Science”, students learn modern mathematical and statistical methods of data analysis and recognition of structures, and acquire tools from computer science to transform these methods into algorithms. Graduates will be able to deal scientifically with large quantities of data and thus gain access to attractive career opportunities.
- Programme:
- Mathematical Data Science
- Degree:
- Bachelor of Science (B.Sc.)
- Options:
- Full-time studies or Part-time studies
- Standard period of study:
- 6 semesters
- Start:
- Winter semester only
- Language of the programme:
- German
- Admission:
- open admission (enrolment without previous application)
- Orientation events:
- at the begin of your studies orientation events are offered
- Pre-course:
- A pre-course is offered
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Details
In the Mathematical Data Science degree programme, students learn mathematics, statistics and computer science. They acquire a thorough understanding of mathematics and its methods of analysing data and recognising their underlying structures.
During the first year of the programme, students will acquire sound mathematical knowledge in the areas of analysis, linear algebra and computer science. In the second year, the basic principles of mathematical data science will be covered; statistical and numerical methods are to be dealt with in particular. In the third year, the students will be familiarized with current research topics in a study focus area of their own choice. They will write their Bachelor’s thesis in this research focus area. Possible study focus areas are:
- Optimization and Imaging
- Mathematical Statistics
- Machine Learning
- Applied Statistics and Econometrics
Graduates of the Mathematical Data Science Bachelor’s degree programme are well prepared to meet either the requirements of a subsequent Master’s degree programme, or the challenges of an entry-level position in core areas of the digital era, due to their abilities for abstraction and identification of patterns, as well as their capacity for conceptional, analytical and logical thinking.
Prospective students of this programme should be interested in and have a liking for mathematics and computer science, as well as for finding answers to complex, abstract questions.
Related programmes and consecutive/graduate Programmes
Related programmes
Consecutive/graduate Programmes
Structure
During the first year of the programme, students will acquire sound mathematical knowledge in the areas of analysis, linear algebra and computer science. In the second year, the basic principles of mathematical data science will be covered; statistical and numerical methods are to be dealt with in particular. In the third year, the students will be familiarized with current research topics in a study focus area of their own choice. They will write their Bachelor’s thesis in this research focus area. Possible study focus areas are:
- Optimization and Imaging
- Mathematical Statistics
- Machine Learning
- Applied Statistics and Econometrics
Regulations and module directory
Admission
- Start:
- Winter semester only
- 1st subject semester:
- open admission (enrolment without previous application)
- 2nd to 6th subject semester:
- open admission (enrolment without previous application)
Contact
Academic Advising
Dr. Denise Krempasky
Faculty of Mathematics and Computer Science
Bunsenstr. 3/5
DE-37073 Göttingen
Room No. 110
Phone: + 49 (0)551 39 27762
E-Mail:
st@math.uni-goettingen.de