Computational Science and Engineering
Master of Science in Information Technology and Engineering

The CSE program combines the study of high-level engineering (high-performance computing, cutting-edge modeling software) with in-depth teaching of computational science foundations. Our graduates will gain a combination of deep knowledge of scientific computing and hands-on engineering skills (software, algorithms, tools, etc.)
Modes and duration:
2 years (full-time)
Application deadline:
July 16, 2018
Tuition fees:
no tuition fee for the applicants who pass the selection process
Language:
English
A successful graduate of the program will know:
Mathematical and algorithmic foundations of Computational Science & Engineering
Main methodological aspects of both scientific research and application development in Computational Science and Engineering
State of the art techniques of scientific computing, including parallel programming and High-Performance Computing (HPC)
...and will be able to:
Identify, formalize and solve outstanding computational problems in real-world applications
Apply relevant software tools, computer languages, data models and computational environments for modelling and visualization
Understand and formulate new models of complex systems arising in natural and social sciences and engineering
Contribute to the development of the next-generation scientific computing software competitive with or superior to the existing examples of software in critical and emerging application fields (such as oil and gas, material design, Big Data, aerospace, and pharmacology).
What makes Skoltech stand apart from other universities
is its extraordinary environment that will make your MSc studies
a major life milestone:
Education
Lectures and practical classes are given by world-renowned experts. Students can refine and focus their own specific path, by choosing from a variety of courses.
Science
Science is firmly integrated into the education process: each student conducts his/her own research projects.
Real-life experience
We provide industrial immersion summer projects: 8-week projects at leading industrial companies, where students turn their knowledge and skills into action.
Entrepreneurship
We supplement your academic training with courses that provide the skills and knowledge to commercialize ideas
and research findings.
Mobility: over a third of our students participate in various academic mobility programs working as trainees or researchers at such leading universities as MIT, Harvard University, National University of Singapore, University of Calgary and many others.
Global environment: the student body is from 40+ countries, together with professors and researchers from internationally renowned labs and universities. The working language (and instruction) at Skoltech is English.
Life: once enrolled, you will get a chance to attend major international conferences, participate in science and student competitions, and work on your own projects and initiatives outside of the curriculum.
Student package: Skoltech students are entitled to a monthly scholarship starting from 40,000 RUB (around 550 EUR) and health insurance.
Our graduates shape their own futures by choosing from variety of career opportunities
in industry, science and business:
Industry
Landing specialist positions such as Computational Scientist or Engineer in various industry sectors (Aerospace, Advanced Manufacturing, Large-Scale Engineering Design).
Science
Landing PhD positions and continuing research at leading Russian and international research entities.
Startup
Starting a business on their own or through the Skolkovo innovation ecosystem with its extensive pool of experts, consultants and investors.
The program has a renowned faculty with international experience
and broad network of collaborations:
Program Director
Maxim Fedorov

Professor, Director of Skoltech Center for Computational and Data-Intensive Science and Engineering
Program Coordinator
Maxim Panov
Research Scientist,
Program coordinator
Associate Professor
Associate Professor
Professor
Assistant Professor
Assistant Professor
Assistant Professor
Assistant Professor
Associate Professor
Associate Professor
Assistant Professor
Assistant Professor
Assistant Professor
Professor
Assistant Professor
Professor
Associate Professor
Assistant Professor
Adjunct Professor
Program Structure:
The 2-year program comprises compulsory and recommended elective courses on the most important topics, wide set of elective courses (depending on research and professional needs of the student), entrepreneurship and innovation component, research activity and 8 weeks of industrial immersion.

Compulsory and Recommended elective courses (36 credits)

Compulsory courses:
Scientific Computing
Numerical Linear Algebra
Computational Science and Engineering I: Modeling and Simulation
Computational Science and Engineering II: Discretization

Recommended Electives:
Introduction to Data Science
Structural Analysis and Design
Optimization Methods
Computational Chemistry and Materials Modeling
Introduction to IoT
Machine Learning
Signal and Image Processing
Dynamic Systems and Control
Uncertainty Quantification
Stochastic Modeling and Computations
Geostatistics and Reservoir Simulation
Introduction to Product Lifecycle Management (PLM)
Materials Selection in Design
Thermal Fluid Science
Computational Science and Engineering III: Fast and Efficient Solvers
Advanced Reservoir Simulation with High Performance Computing
Survey of Materials
Robotics
Advanced PLM techniques I: Digital Design and Optimization
Advanced PLM techniques II: Digital Manufacturing and Model Validation

Elective Courses (24 credits)

Entrepreneurship and Innovation (12 credits)
Innovation Workshop
Ideas to Impact: Foundations for Commercializing Technological Advances
Intellectual Property and Technological Innovation

Research and MSс thesis project (36 credits)

Industrial Immersion (12 credits)
Academic Partners:
  • Moscow Institute of Physics and Technology
  • Keldysh Institute of Applied Mathematics
  • IITP RAS
  • State University of Aerospace Instrumentation
  • National research center «Kurchatov Institute»
Industrial Partners:
  • Gazpromneft
  • Renova
  • RusAgro
  • Airbus
  • Datadvance
  • TsAGI
  • Schlumberger
Entry requirements:
Knowledge and skills:
Calculus, Ordinary and partial differential equations, Linear Algebra, General Physics, Programming skills.
Education:
Bachelor's degree, or its equivalent in Physics, Mechanics, Material Science, Engineering, or Applied Mathematics.
English language:
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
Applications are accepted till July 16, 2018 inclusive.
The admission and enrolment process includes several steps:
1
Application
Prepare all documents and submit your application by filling in the form on Skoltech's web site.
2
Online selection
Take a profile online test. You will be notified by e-mail about your specific date and time.
3
Final selection
The final round takes place in Moscow. You have to pass TOEFL ITP exam on site or present a valid TOEFL certificate, and pass an interview. Extra written examinations are possible on some programs within the same selection weekend.
4
Enrollment
Based on the results of each applicant's overall performance, we will make a list of students to be enrolled free of charge.
The admission campaign is open!
To apply, click the button below.
Applications are accepted till July 16, 2018 inclusive:
Contact us by phone/e-mail or visit us:
e-mail: admissions@skoltech.ru
phone: +7 (495) 280-1481
address: 3 Nobel Street, Skolkovo, 143026, Russian Federation
(We are more than happy to meet visitors Monday through Friday from 9:0018:00. Please arrange a visit at 48 hours in advance by writing us an email at admissions@skoltech.ru).