Engineering software development, integration and programming in CAD (Computer Science and Engineering)
Faculty: Faculty of Information Technologies
Degree
Bachelor
Form of tuition
- Full-time
Direction name and code
About the program
70
State-funded places
About educational program
Full-time (Intramural)
Duration
4 years
Number of places
State-funded — 70
fee-paying — 50
fee-paying — 50
Tuition fee
512 000 rub.
(2026)
(2026)
Entrance tests and minimum scores (fee-paying)
State-funded
Mathematics (Subject Matter) — 55 marks
Russian language — 55 marks
Computer science — 55 marks
Physics — 55 marks
Russian language — 55 marks
Computer science — 55 marks
Physics — 55 marks
Minimum passing score for the previous academi year
State-funded
Admission score — 242 (2024)
National State Examination Average score — 81,72 (2024)
National State Examination Average score — 81,72 (2024)
MAIN ACADEMIC BUILDING
Moscow, Str. Pryanishnikova, 2а
HEAD OF THE PROGRAMM
Anton V.Tolstikov
ADMISSION OF FOREIGN CITIZENS
possible
ADDITIONAL INFORMATION AND USEFUL LINKS
Website of student projects in this area http://team.mpu-cloud.ru/
Documents
Program FAQ
System developer, Specialist in implementing engineering software.
If you attend lectures, follow all the recommendations of the faculty staff, studying process will become your interesting and exciting hobby.
There are laboratories with modern computers and 3D printers.
Many priorities are changing as we get older and we get carried away with new areas. The skills acquired in the course of training will allow you to choose almost any job in the IT industry and "Success stories" of our graduates are confirmation of it.
Career opportunities
CAD engineer
Development of project templates. Development software modules in the AutoCad environment. Automation of typical design processes.
Mathematician-programmer C++ (C3D Modeler, C3D Solver)
Development and maintenance of c3d Modeler solid-state and surface modeling modules, and the c3d Solver geometric constraint module.
Interaction with customers and partners, technical support.
Data scientist/ machine learning engineer/ NLP developer
Development of end-to-end decisions of NLP applied tasks. Containerization and introduction of decisions to the industy. Nonstructural textual communication analysis.
