Duration
2 Years
Language
English
Credits
120 ECTS
Bachelor's degree in Mathematics, Physics, or Engineering with significant mathematical content. Minimum GPA of 3.5 in mathematics courses. Letters of recommendation from mathematics professors. Fluent in English.
Minimum Grade: N/A
Dr. Axel Russo
Head of Department of Applied Physics & Mathematics
Marcus Partanen
Lecturer
Oscar Berger
Visiting Scholar
This MSc offers advanced training in mathematical modeling and systems analysis. Students master complex optimization techniques and stochastic modeling, applicable to sectors like logistics, finance, and engineering. The program is research-intensive, preparing graduates for PhD studies or high-level industrial research roles.
| Code | Subject Name | ECTS | Eligibility |
|---|---|---|---|
| ANA506 | Data Analysis Semester 2 | 5 | Introduction Courses |
| ELE602 | Electives Semester 3 | 12 | Core Foundation |
| MAT501 | Advanced Linear Systems Semester 1 | 5 | |
| MAT505 | Numerical Optimization Semester 2 | 5 | Introduction Courses |
| OPT502 | Advanced Optimization Semester 1 | 5 | |
| RSM601 | Research Methods Semester 3 | 5 | Core Foundation |
| STA503 | Stochastic Processes Semester 1 | 5 | |
| SYS504 | Systems Control Theory Semester 2 | 5 | Introduction Courses |
| THS699 | Master Thesis Semester 4 | 30 | Previous Semester Courses |
Potential Roles:
Quantitative Analyst, Research Scientist, Algorithm Engineer, Systems Architect
