Overview

The program combines applied mathematics, computer science, and computational modeling for real-world problems in technology and finance. Students gain strong training in mathematical modeling, machine learning, optimization, numerical methods, data analysis, and software development.Students choose between two tracks: a financial track focused on quantitative finance, risk modeling, volatility analysis, and econometrics, and a technological track focused on numerical simulation, finite-element methods, and computational modeling of complex physical and technological systems.Graduates can work in IT companies, fintech, banks, insurance and consulting firms, industrial R&D departments, engineering companies, and research centers. Career paths include software and algorithm development, data analysis, quantitative finance, computational engineering, mathematical modeling, and related engineering roles. The program also provides a solid foundation for further research or PhD study.

Programme Structure

Curriculum is 120 ECTS.

Core disciplines:

Project activity module — 3 ECTS;

Modern data analysis — 5 ECTS; Stochastic Modeling and Statistical Data Processing — 5 ECTS; Mathematical Models of Processes and Systems — 5 ECTS; Web Applications for Data Visualization — 5 ECTS; Research Seminar — 8 ECTS; Machine learning: mathematical basis — 5 ECTS; Numerical Methods of Linear Algebra — 5 ECTS; Modern optimization methods — 5 ECTS; Advanced Problems of Mathematical Physics — 5 ECTS; Modern Problems of Applied Mathematics and Informatics — 6 ECTS. Elective courses (5 ETCS each): Mathematical modelling in finance / Modern Numerical Methods in Mathematical Modeling; Econometrics / Mathematical Models in Biology; Computational finance / Modern Computer Technologies in Modelling.

Audience

The program is designed for graduates with bachelor’s degrees in applied mathematics, computer science, data science, engineering, physics, and quantitative economics or finance. It is suitable for students who want to work in mathematical modeling, machine learning, fintech, computational engineering, or research, as well as for those planning to pursue a PhD.

Lecturers

The program is led by Dmitry B. Rokhlin, DSc in Physics and Mathematics, Associate Professor and Head of Department. The teaching team includes experienced faculty and researchers of Southern Federal University working in applied mathematics, computational modeling, finance, optimization, and data analysis.

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-09-01 00:00:00

Application deadline not specified.

Language

English

Credits

120 ECTS

Delivered

On Campus

Campus Location

Rostov-on-Don, Russia

Disciplines

Applied Mathematics Financial Mathematics Computational Mathematics View 5 other Masters in Computational Mathematics in Russia

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Applicants are expected to have a bachelor’s degree or an equivalent higher education qualification with an academic transcript. For documents issued in a foreign language, a translated version is required. SFedU offers several admission routes for master’s applicants, including portfolio competition, olympiads, and entrance tests. Applicants are also expected to have a basic background in mathematics and programming, as well as a working knowledge of English.

Technological requirements

A laptop is required for study. Students use the SFedU electronic information and educational environment and specialized software within particular courses. Basic skills in programming, mathematical modeling, and data analysis are recommended.

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

Domestic Applies to you

Applies to you

Citizens or residents

200000 RUB / year

≈ 200000 RUB / year

Additional Details

Tuition fees are 200,000 RUB per year. Payment by semester may be possible.

Living costs

Rostov-na-Donu

Russia

28717 - 37881 RUB / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for 01.04.02 Applied Mathematics and Informatics (Computational Modeling in Technology and Finance).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

01.04.02 Applied Mathematics and Informatics (Computational Modeling in Technology and Finance)

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