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A student of the Artificial Intelligence program working on a laptop in the university atrium

Bachelor’s program

Artificial Intelligence

Turn curiosity into intelligent solutions for a brighter tomorrow.

The program prepares engineers and researchers who design intelligent systems, work with real data and turn ideas into solutions that matter to people. From the first year — practice with industry partners and the university’s laboratories.

“Here we get a chance to solve real human problems, not textbook examples.”
Portrait of a student of the program

Artem

Artificial Intelligence student

  • 4 years

    BSc in Computer Science

  • English

    Language of instruction

  • Global

    opportunities

  • Hands-on

    projects from year 1

Program overview

More than an education. A launchpad for real impact.

The program combines strong foundations in computer science and mathematics with AI practice, research and industry collaboration. You will learn to design intelligent systems, work with real data and turn ideas into solutions that matter.

Virtual campus tour

Program facts

Degree
BSc in Computer Science
Duration
4 years8 semesters
Language of instruction
English
Next intake
Next intakeSeptember 2027
Location
Innopolis, Republic of Tatarstan
Tuition
420 000 ₽ per year

Curriculum

A clear path from fundamentals to real-world impact.

The curriculum combines theory, hands-on projects and research, so you grow from core foundations to advanced specialisations and a capstone project that solves a real problem.

  1. Students discussing a project in a campus common area

    Mathematics, programming and the fundamentals of artificial intelligence. Real projects from the first semester.

    • Calculus and Linear Algebra
    • Programming in Python
    • Discrete Mathematics
    • Introduction to Artificial Intelligence
  2. A student of the Artificial Intelligence program working on a laptop in the university atrium

    Core methods and tools. Team work on practical projects and the first portfolio.

    • Data Structures and Algorithms
    • Machine Learning
    • Databases
    • Probability and Statistics
  3. Students discussing a project in a campus common area

    Advanced courses, research methods and electives. A laboratory placement and an industry internship.

    • Deep Learning
    • Computer Vision
    • Natural Language Processing
    • Research Project
  4. A student of the Artificial Intelligence program working on a laptop in the university atrium

    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.

Student projects

Real projects. Real impact.

  • The Autonomous Agricultural Drone project: a working moment

    Autonomous Agricultural Drone

    Computer Vision

    An AI system for crop monitoring and precision farming.

  • The Smart City Traffic Analysis project: a working moment

    Smart City Traffic Analysis

    Machine Learning

    Predicting and optimising urban traffic flow.

  • The AI-Powered Prosthetics project: a working moment

    AI-Powered Prosthetics

    Human–AI Interaction

    An adaptive control system based on machine learning.

Students on the university campus lawn

Your future

Turn your skills into opportunities.

Our graduates work at leading tech companies, research centres and startups around the world.

95%
Employment ratewithin 6 months of graduation
40+
Partner companiesYandex, Sber, NVIDIA and more
12
Countrieswhere our graduates work
Portrait of a graduate of the program
“Innopolis gave me the skills, confidence and network to build a career I’m excited about.”
MichaelAlumnus, machine learning engineer

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
Students on the university campus lawn

Be part of a story that shapes a brighter tomorrow.

Apply now