Program Overview
The Applied Computing in Engineering and Science at Siberian Federal University is a MSc programme in Engineering over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of engineering. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Applied Computing in Engineering and Science programme are well-prepared for careers in academia, industry, government, and the private sector across Russian Federation and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- Tuition: EUR 2,150 (Tuition (Year)) — International students; EUR 2,150 (Tuition (Year)) — National students
- Location: Krasnoyarsk, Russian Federation
Career Opportunities
Graduates of the Applied Computing in Engineering and Science programme are prepared for diverse careers in engineering:
- Design Engineer
- R&D Engineer
- Project Engineer
- Systems Engineer
- Technical Consultant
- Engineering Manager
Program Curriculum
Course Structure
- [\'Scientific Computing I\', \'Numerical Linear Algebra\', \'Mathematical Modeling\', \'Research Seminar\', \'Research\', \'Scientific Computing II\', \'Numerical Analysis and Optimization\', \'Statistical Computing\', \'Research Seminar\', \'Research\', \'Scientific Computing III\', \'Number Theory, Finite Fields and Their Applications\', \'Statistical Modeling\', \'Mathematical Models of Continua\', \'Data Compression\', \'Solving Polynomial Equations. Foundations and Algorithms\', "Computer Algebra Algorithms for ODE\'s and PDE\'s", \'Statistical Modeling\', \'Research\', \'Research\', "Master\'s Thesis defence", \'Professor Sergey P. Tsarev\', \'Professor Alexey A. Kytmanov\']
Admission Requirements
Academic Requirements
Entry requirements
- BSc or MSc degree in Mathematics, Physics or Computer Science (transcript of records)
- Good command of English (certificate or other document)
International students can be admitted either via personal contact or under exchange agreements with partner universities.
Tuition & Financial Information
Tuition Fee
EUR 2,150 (Tuition (Year)) — International students; EUR 2,150 (Tuition (Year)) — National students
Tuition fees: EUR 2,150 (Tuition (Year)) — International students; EUR 2,150 (Tuition (Year)) — National students
Financial Aid & Scholarships
Contact Siberian Federal University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About Siberian Federal University
Siberian Federal University
Krasnoyarsk, Russia
Siberian Federal University is a multidisciplinary university located in Krasnoyarsk in Siberia, that combines fundamental and applied research and teaching. The Siberian Federal University was...
University Profile- Application Deadline 2029-07-18
- Start Date 2018-10-01
- Language English
- Duration 24 months
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