1st year |
|
CP |
Semester I |
Foundations of Economic Sciences
|
8
|
|
Computer Science - Module 1 (Introduction to Computer Science and Programming) |
8 |
|
Mathematical Analysis - Module 1
|
8
|
|
Algebra and Geometry
|
7
|
|
|
31
|
Semester II |
Foundations of Physics I |
8 |
|
Computer Science - Module 2 (Computing Theory and Algorithms) |
8
|
|
Probability |
8
|
|
Mathematical Analysis - Module 2 |
7
|
|
|
31 |
2nd year |
|
CP |
Semester I |
Foundations of Physics II |
8
|
|
Decision Theory and Human Behaviour |
8
|
|
Mathematical Statistics |
8
|
|
Advanced Analysis and Optimization - Module 1 |
5
|
|
|
29
|
Semester II |
|
|
|
Advanced Programming and Optimization Algorithms |
8
|
|
Mathematical Modelling in Machine Learning
|
8
|
|
Advanced Analysis and Optimization - Module 2 |
5 |
|
Foreign language |
4
|
|
Digital Ethics seminar
|
1
|
|
Behavioural skills seminar |
1
|
|
AI Lab
|
1
|
|
|
28
|
3rd year |
|
CP |
Semester I |
Statistical and Quantum Physics |
8
|
|
Game Theory and Mechanism Design |
8
|
|
Mathematical Modelling for Finance |
8 |
|
Elective or internship
|
6
|
|
|
30 |
Semester II |
Stochastic Processes and Simulation in Natural Sciences |
8
|
|
Machine Learning and Artificial Intelligence |
8
|
|
Mathematical Modelling for Neuroscience |
6
|
|
Elective |
6
|
|
Final Paper |
3
|
|
|
31 |
Total credit points |
|
180 |
Program requirements are subject to change.
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To search and get more information on the content of the various courses, browse the description of courses taught in 2022-2023.