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
History of Computing 3
Introduction to Ordinary Differential Equations 3
Scattered Data Approximation 3
Introduction to Fourier Analysis 3
   
Second Semester 30
Mandatory 24
Computer Architectures and Logic Design 6
Discretization Methods 6
Effective High-Performance Computing & Data Analytics 6
Quantum Computing 6
Electives 6
One among:
Advanced Networking
Computational Fabrication
Computer Vision & Pattern Recognition
Geometric Algorithms
Graphical Models and Network Science
Information & Physics
Information Security
Particle Methods
Robotics
 
   
Third Semester 30
Mandatory 21
Master Thesis Preparation 6
Algorithms & Complexity 6
Data Analytics for Fraud Detection 3
Distributed Algorithms 6
Distributed Systems 6
Electives 9
Deep Learning Lab 3
Graph Deep Learning 3
History of Computing (if not already taken) 2
Introduction to Ordinary Differential Equations (if not already taken) 3
Machine Learning (MSc) 6
Scattered Data Approximation (if not already taken) 3
Software Atelier: Simulation, Data Science & Supercomputing 6
   
Fourth Semester 30
Mandatory 6
Master Thesis preparation 6
Thesis 24
Electives 6
Deep Learning Lab 3
Graph Deep Learning 3
History of Computing (if not already taken) 2
Introduction to Ordinary Differential Equations (if not already taken) 3
Machine Learning (MSc) 6
Scattered Data Approximation (if not already taken) 3
Software Atelier: Simulation, Data Science & Supercomputing 6

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: