Urban Supercomputing

University of Amsterdam

Partner University: University of Amsterdam

Place of Study: Netherlands
Outcome (diploma or credits): Master of Science Diploma (ITMO University) Master of Science Diploma (University of Amsterdam)
Duration: 2 Years, including one semester in the University of Amsterdam 120 credits
Language: English
Application Deadline: 01 July 2017
Admission Requirements: Bachelor's degree in the field of computational science or equivalent, with excellent/good grades. CV & motivation letter. Upper-intermediate level of English. For admission to the partner university IELTS or TOEFL may be required.
Price: 183 500 RUR for Russian citizens 203 500 for foreign citizens (price noted is for first 2 semesters at ITMO, price for the second year will be set by Partner University).

Urban Supercomputing Double Degree Master’s Program:

ITMO University:

1st Semester:

Parallel Programming 4 credits
Foreign Language 3 credits
Introduction to Computer Science 3 credits
Computational Methods for Structural Mechanics 6 credits
System Analysis of urbanized areas 4 credits

2nd Semester:

Urban Informatics and Geoinformatics 4 credits
Urban Simulation 4 credits
Stochastic and discrete mathematical models 4 credits

Introduction to big data (OR) Machine Learning

4 credits

Models and methods of HPC (OR) Internet and web technologies

4 credits


University of Amsterdam:

3rd Semester:

Mathematical Methods of urban areas design  6 credits

Data-centric decision support systems (OR) Mobile technologies and systems

5 credits

Modeling and optimization in transportation / Virtual society / Analysis and modeling in social networks / Urban virtual words / Social psychology of urbanized society – CHOOSE 3 OF 5 COURSES

3 credits

4th Semester:

Master Thesis 18 credits
State Exams 6 credits
Internship 6 credits


Both universities:

Individual Research Projects 3 credits
Research Works 17 credits
Group Project 2 credits
Group projects in chosen specialization  8 credits
Download Program Brochure


Department of High Performance Computing

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