Predictive Maintenance of Pumping Stations
The model predicts equipment failure 72 hours ahead.
Bachelor’s program
Applied Artificial Intelligence and Big Data Analytics for Industrial Cyber-Physical Systems
Intelligence for factories, power grids and transport — where a mistake is expensive.
Students work with data from real industrial partners, study cyber-physical systems and learn to build models that can be trusted to control equipment. Admissions open in the next intake cycle.
“Here we get a chance to solve real human problems, not textbook examples.”
Artem
Applied Artificial Intelligence and Big Data Analytics for Industrial Cyber-Physical Systems student
4 years
BSc in Applied Mathematics and Computer Science
Russian and English
Language of instruction
Global
opportunities
Hands-on
projects from year 1
Program overview
Data from the plant — decisions for production.
The program brings together industrial automation, streaming data analytics and machine learning. Practice takes place on partners’ test benches and in the robotics laboratory, where students validate models on real equipment.
Real projects. Real impact.
Program facts
- Degree
- BSc in Applied Mathematics and Computer Science
- Duration
- 4 years8 semesters
- Language of instruction
- Russian and English
- Next intake
- Next intakeSeptember 2028
- Location
- Innopolis, Republic of Tatarstan
Curriculum
From sensor to decision.
The curriculum follows the life cycle of industrial data: collection, processing, modelling, deployment and safety control.
Mathematics, programming and the fundamentals of industrial artificial intelligence. Real projects from the first semester.
- Calculus and Linear Algebra
- Programming in Python
- Discrete Mathematics
- Introduction to Artificial Intelligence
Core methods and tools. Team work on practical projects and the first portfolio.
- Data Structures and Algorithms
- Machine Learning
- Databases
- Probability and Statistics
Advanced courses, research methods and electives. A laboratory placement and an industry internship.
- Deep Learning
- Computer Vision
- Natural Language Processing
- Research Project
Specialisation, a capstone project with a real partner and preparation for a career or graduate study.
- AI Ethics and Society
- MLOps and Scalable Systems
- Capstone Project
- Electives and Industry Internship
Labs and research
From ideas to real-world solutions
Join our research labs and work on cutting-edge technologies with world-class researchers and industry partners.
Our faculty
Learn from world-class researchers
Our faculty are leading researchers and industry experts working at the frontier of their fields.
Digital Twin of an Assembly Line
A simulation of the line to test changes without stopping production.
Your future
Data engineers for the real economy.
Graduates are needed where data is born on the shop floor: energy, machine building, petrochemicals and transport.
- 92%
- Employment ratewithin 6 months
- 25+
- Industrial partnerswith on-site internships
- 8
- Regionswhere graduates work
“Innopolis gave me the skills, confidence and network to build a career I’m excited about.”
Admissions
Ready to build a brighter tomorrow?
We look for curious, motivated problem-solvers who want to make a difference.
- Completed secondary education (or equivalent)
- Strong background in mathematics and computer science (recommended)
- English language proficiency (IELTS 6.0 or equivalent)
- Online application and motivation letter
Application
Fill in the online application and upload your documents.
Entrance test
A test in mathematics and computer science; for master’s programs — in the field of the program.
Interview
A conversation with the program’s faculty about motivation and experience.
Decision
The result arrives in your account within two weeks.
- Applications open
- Application deadline
- Entrance tests
- Classes begin
- Documents are accepted online without a visit
- Visa and invitation support
- A dormitory place is guaranteed to first-year international students
Be part of a story that shapes a brighter tomorrow.
Notify me when admissions open