High-Performance Computing Track

This track concentrates on large-scale computing and optimisation techniques, equipping students for careers in sectors that demand high computational capabilities.

First Semester	30
Mandatory	24
Numerical Algorithms	6
High-Performance Computing	6
Introduction to Data Science	6
Introduction to Programming (Python)	6
Electives	6
Introduction to Ordinary Differential Equations	3
Scattered Data Approximation	3

Second Semester	30
Mandatory	24
Computer Architectures and Logic Design	6
Quantum Computing	6
Effective HPC & Data Analytics	6
Discretization Methods	6
Electives	6
One among: Advanced Networking Computational Fabrication Computer Vision & Pattern Recognition Geometric Algorithms Graph Deep Learning Graphical Models and Network Science Information & Physics Information Security Particle Methods Robotics

Third Semester	30
Mandatory	24
Master Thesis Preparation	6
Algorithms & Complexity	6
Distributed Algorithms	6
Distributed Systems	6
Electives	6
One among: Advanced Topics in Machine Learning Artificial Intelligence Databases Deep Learning Lab History of Computing Machine Learning Software Atelier: Simulation, Data Science & Supercomputing

Fourth Semester	30
Mandatory	24
Master Thesis	24
Electives	6
One among: Advanced Networking Computational Fabrication Computer Vision & Pattern Recognition Geometric Algorithms Graph Deep Learning Graphical Models and Network Science Information & Physics Information Security Particle Methods Robotics

Please be aware that slight changes in the study programme may occur.

For students who require special provisions, modifications to the track curriculum can be arranged following discussions with MCS Study Coordination and program director(s).

Other specialised Track: