Big Data and Extreme Computing
Partner University: University of AmsterdamPlace of Study: Netherlands
Outcome (diploma or credits): Master of Science (ITMO University) Master of Science (University of Amsterdam)
Duration: 2 Years, including one semester in the University of Amsterdam 120 credits
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).
Big Data and Extreme Computing Double Degree Master’s Program:
- Builds on students’ quantitative and analytical skills to derive value from data to influence business decisions and for research purposes.
- Emphasizes technical proficiency and practical experience with machine learning, database processing, data visualization and modeling, data storage, transfer and processing.
- Offers a personalized track depending on students’ specialization.
- Provides an opportunity to work hand-in-hand with researchers on the cutting edge of Big Data and Extreme Computing in the Netherlands and Russia.
- Brings an international perspective on best practices and emerging trends in Big Data analysis and supercomputing, preparing students for research and applied IT positions in world’s leading institutions, companies and agencies.
|Modern informational theory||3 credits|
|Introduction to computational Science||3 credits|
|Foreign language||3 credits|
|Internet and web technologies||4 credits|
|Stochastic mathematical models||6 credits|
|Parallel algorithms of data analysis and synthesis||6 credits|
|Models and Methods of Multidimensional Data Analysis||4 credits|
|Infrastructures and technologies for big data processing||6 credits|
Introduction to eScience and eEngineering technologies (OR) Machine learning
University of Amsterdam:
|Urgent Computing||6 credits|
Decision support systems based on Big Data (OR) Scalable computational algorithms
|Big multimedia data processing and analysis / Domain specific Big Data technologies / Scheduling in distributed computing systems and environments - CHOOSE 3 OF 5 COURSES||3 credits|
|Master Thesis||18 credits|
|State Exam||6 credits|
|Research Work||8 credits|
|Individual Research Project||2 credits|
|Group Work||2 credits|
|Group project in the chosen specialization||2 credits|