Economathematics Master of Science (M.Sc.)
Study Programme Details
City: | Karlsruhe |
Country: | Germany |
Admission Sessions: | Autumn Session, Spring Session |
Study Format: | Full Time |
Mode of Study: | Fully on Site |
About this Study Course
The Economathematics Master of Science (M.Sc.) program offers a comprehensive curriculum designed to equip students with advanced mathematical skills tailored for application in economics and industry. Over a span of 2 years, students delve into a diverse range of subjects and modules, accumulating 120 credit points under the European Credit Transfer and Accumulation System (ECTS). This program’s flexibility allows for individualized pathways while ensuring a solid foundation in mathematical theory and its practical applications.
Overview
Embark on a transformative journey of intellectual growth and interdisciplinary exploration with our Economathematics Master of Science (M.Sc.) program. Throughout this immersive experience, students expand upon the scientific principles and methodologies of mathematics, preparing them for dynamic careers in economics, industry, or academia. Rooted in research-oriented training, graduates emerge ready to embrace a lifetime of learning and innovation.
Admission Requirements
- ompleted bachelor’s degree or equivalent in mathematics, economics, or related fields.
- Minimum of three years of standard study time or 180 ECTS points.
- Proficiency in fundamental mathematics, stochastics, and business administration.
- Foreign nationals must demonstrate proficiency in the German language (level B1).
- Mathematical Methods (36 CP)
- Finance, Risk Management, Managerial Economics (18 LP)
- Operations Management, Data Analysis, Computer Science (18 CP)
- Economics Seminar (3 CP)
- Mathematical Seminar (3 CP)
- Elective Subject (12 LP)
- Master’s Thesis (30 CP)
Tuition fee per semester:
- International: 1500 EUR
- Domestic: No tuition fee
Future Career Outcomes
Our alumni have successfully ventured into diverse fields, showcasing the program’s adaptability to evolving industry demands. From leading financial institutions to cutting-edge research facilities, graduates demonstrate proficiency in mathematical modeling, data analysis, and strategic decision-making, making them indispensable assets in today’s competitive landscape.