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  2. июля 2025

июля 2025

استقبلت جامعة جنوب الأورال الحكومية المتقدم رقم 10000 – متخصص الأتمتة المستقبلي

16/07/2025

تكتسب حملة القبول في جامعة جنوب الأورال الحكومية زخمًا متزايدًا. اليوم، قدّم الطالب رقم 10,000 أوراقه للجامعة. هذا الطالب هو ألكسندر إيرليخ، الذي سيلتحق بمعهد البوليتكنيك.

اختار ألكسندر تخصص «أتمتة العمليات التكنولوجية والإنتاج»، وهو من أكثر التخصصات رواجًا في بلدنا.

SUSU Welcomes the Ten Thousandth Applicant, a Future Automation Engineering Specialist

07/16/2025

The Admissions Campaign at South Ural State University gains momentum. Aleksandr Erlikh, enrolling in the Institute of Engineering and Technology, has become the ten thousandth applicant who has presently submitted his documents to our university.

Aleksandr has chosen the programme in Automation of Technological Processes and Production, which is among the top most in-demand fields in our country.

SUSU Listed among the TOP 40 in the 2025 Interfax National University Ranking

07/16/2025

According to the National University Ranking study, annually conducted by the Interfax Information Group, South Ural State University has taken the 32nd place in the composite 2025 ranking. SUSU holds the first place among universities in Chelyabinsk, and the second place among universities of the Ural Federal District in this composite ranking.

The 2025 survey includes 369 Russian universities. The ranking is performed against such criteria as Education; Research; Social Environment; Collaboration; Innovations and Entrepreneurship; and Brand.

Внутренний «Приоритет» в ЮУрГУ: новые возможности для развития подразделений

15.07.2025

В сентябре 2025 года в рамках программы «Приоритет-2030» в ЮУрГУ состоится стратегическая сессия, посвященная реализации программы развития вуза.

На стратегической сессии будут обсуждаться стратегии развития высших школ и институтов ЮУрГУ. Также будет проведен внутренний конкурсный отбор, по итогам которого наиболее мотивированные сотрудники позже будут приглашены на очные встречи с экспертами Социоцентра программы «Приоритет-2030».

01.04.05 Statistics

Major: Statistical and Computer Modelling Level: Master's degree programme Duration of training: 2 years and 3 months Mode of study: Full-time / onsite Language of study: Russian Description of the educational programme Graduates will learn how to: formalize the initial problem, build a statistical model and check its adequacy; effectively use statistical and mathematical packages; create efficient computer implementations of statistical methods for solving practical problems; develop known and create new statistical methods of data processing. The field of professional activity of graduates who have mastered the master's programme includes the activities of such organizations as: Federal State Statistics Service and its territorial bodies; subjects of official statistical accounting; state and municipal administration bodies; academic, departmental and non-state scientific organizations; international and non-governmental organizations established on the basis of international agreements that collect, process, systematize and summarize statistical data of a social, economic, humanitarian and other nature in the areas within their competence; organizations of various types of activities and forms of ownership that collect, process, systematize and summarize mass information about the state and development of natural, humanitarian (social, economic, demographic and others), technical and medical processes and phenomena, their statistical analysis and modelling. Main programme-specific classes: Regional Statistics Statistics of Stationary Processes International Statistics Decision-making Theory Research on Statistical Economic Models Using the 1C System Research on Statistical Technical Models Using the 1C System Analytical Methods for Solving Multicriteria Problems Parallel Programming of Statistical Problems Statistical Methods and Forecasting Models Modern Problems of Statistical Modelling Introduction to the 1C System Configuration Application Packages Theory of Queuing Systems Applications of Econometrics in Engineering, Economics and Logistics Applied Regression Analysis Statistical Methods in Risk Assessment Multivariate Data Analysis Modern Mathematical Models of Economic Theory APPLY NOW

01.04.01 Mathematics

Major: Non-classical Equations of Mathematical Physics Level: Master's degree programme Duration of training: 2 years Mode of study: Full-time / onsite Language of study: Russian Description of the educational programme Realities of contemporary times increasingly require from a professional not specific knowledge in individual disciplines, but the ability to approach problem solving in a comprehensive manner, using methods and techniques of various spheres of human activity. In this regard, the special role of mathematics as a universal means of analyzing data from any subject area should be noted. That is why the academic programme 01.04.01 Mathematics is popular and in demand. Graduates of the Department of Equations of Mathematical Physics are prepared for practical and research work in various fields of activity: expert and analytical institutes and centres, specialized research institutes, universities, industrial enterprises, trade and small business organizations, i.e. wherever knowledge of mathematics, the ability to build and use mathematical models, create and apply computer technologies, information processing and control systems are required. Thus, graduates of the department will be able to continue their professional careers both in academic science and in the field of applied research and management. Main programme-specific classes: Function Spaces and Differential Operators Computer Technologies in Scientific Research Mathematical Fundamentals of Artificial Intelligence Sobolev Type Linear Equations Numerical Methods for Solving Problems of Mathematical Physics Stochastic Differential Equations Stability of Solutions to Sobolev Type Equations Semilinear Sobolev Type Equations Initial-Final Problems for Sobolev Type Equations Introduction to the Theory of Riemannian Manifolds Sobolev Type Equations on Manifolds High Order Sobolev Type Equations Sobolev Type Equations on Graphs APPLY NOW

Master's Degree Programmes

01.04.01 Mathematics (Non-classical Equations of Mathematical Physics) 01.04.05 Statistics (Statistical and Computer Modelling) 03.04.01 Applied Mathematics and Physics (Fiber and Laser Optics) 03.04.01 Applied Mathematics and Physics (Physical and Chemical Mechanics of Continuous Media) 05.04.06 Ecology and Use of Natural Resources (Environmental Safety) 11.04.04 Electronics and Nanoelectronics (Nanoelectronics: Quantum Technologies and Materials)    

02.03.02 Fundamental Computer Science and Information Technologies

Major: Fundamental Computer Science and Information Technologies Level: Bachelor’s degree programme Duration of training: 4 years Mode of study: Full-time / onsite Language ​​of study: Russian Description of the educational programme Programme is aimed at providing training of professional programmers of the highest qualification. The curriculum mainly consists of courses relevant to computer disciplines. During the process of training, students master a big number of modern programming languages, including: C, C ++, C #, Java, Prolog, Ruby, Python, HTML, XML, SQL, UML, etc. Leading Russian and international specialists in the field of information technologies participate in the training of students. Some courses are taught by the representatives of commercial companies involved in software development. Students take internship in real software companies. Graduates are ready to work in companies, which are engaged in the development of system and application software, as well as in computer centres and informatization departments of banks, industrial enterprises, commercial companies, government agencies and other organisations. A graduate can hold the position of a specialist in information technology department, programmer, system administrator, system analyst, database administrator, web programmer, expert consultant on modern information systems, etc Main programme-specific classes: Technologies of Software Systems Development; Information Security; Supercomputers and Parallel Programming; Internet Technologies and Web Design; Local and Global Computer Networks; Database Management Systems; Computer Graphics and Development of Computer Games APPLY NOW 

Bachelor's Degree Programmes

02.03.02 Fundamental Computer Science and Information Technologies (Fundamental Computer Science and Information Technologies) 03.03.01 Applied Mathematics and Physics (Applied Mathematics and Physics) 04.03.01 Chemistry (Chemistry) 05.03.06 Ecology and Use of Natural Resources (Ecology and Use of Natural Resources) 11.03.04 Electronics and Nanoelectronics (Nanoelectronics: Design, Technology, and Application) 18.03.01 Chemical Engineering (Chemical Engineering)    
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