Academic structure, teaching phases, and curriculum for Artificial Intelligence at Innopolis University.

Data Science and Artificial Intelligence (Bachelor's degree, field of study 09.03.01 Computer Science and Computer Engineering, DSAI major)
Teaching phases
Year 1: Fundamentals
Core computer-science and mathematics foundation: basics of programming, computer architecture, logic and design, discrete mathematics, calculus and linear algebra, shared across both Bachelor's majors before specialisation.
Years 2-3: Data Science, Applied AI, Robotics or Game-Development Track
Applying to Innopolis University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Innopolis University. The consultation is free.
Academic structure, teaching phases, and curriculum for Artificial Intelligence at Innopolis University.

Data Science and Artificial Intelligence (Bachelor's degree, field of study 09.03.01 Computer Science and Computer Engineering, DSAI major)
Teaching phases
Year 1: Fundamentals
Core computer-science and mathematics foundation: basics of programming, computer architecture, logic and design, discrete mathematics, calculus and linear algebra, shared across both Bachelor's majors before specialisation.
Years 2-3: Data Science, Applied AI, Robotics or Game-Development Track
Applying to Innopolis University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Innopolis University. The consultation is free.
Choice of Data Science, Applied Artificial Intelligence, Robotics or Computer Game Development tracks, covering Introduction to Machine Learning, Computer Vision, Natural Language Processing, Practical Machine Learning and Deep Learning, Data Mining, Big Data, Reinforcement Learning and Data/Knowledge Representation.
Year 4: Mandatory Industry Placement
A full academic year working in industry, treated as a core, non-optional part of the degree, at a partner or approved employer, consolidating the first three years' technical training with paid real-world experience.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Innopolis University's Bachelor's degree is structured as 3 years of academic study followed by a mandatory 4th year working full-time in industry -- the university calls this its 'practice-oriented' model and treats the year as a core, non-optional part of the degree, not an optional placement. Students in Computer Science and Engineering specialise in Software Development or Cybersecurity from year 2; Data Science and Artificial Intelligence students choose from Data Science, Applied Artificial Intelligence, Robotics or Computer Game Development tracks. The university sits inside the Innopolis Special Economic Zone alongside more than 100 resident technology companies, and has named collaborations with Yandex, Sberbank, Tinkoff, VK, ICL Services, MegaFon and Kaspersky Lab (including joint cybersecurity exercises run on campus) and a joint robotics/smart-device lab with Rubetek. Innopolis University's own 17 laboratories and 9 research centres (AI, robotics, big data, software engineering, information security) give students additional project and research placements alongside the mandatory industry year.
Industry & placement partners
Choice of Data Science, Applied Artificial Intelligence, Robotics or Computer Game Development tracks, covering Introduction to Machine Learning, Computer Vision, Natural Language Processing, Practical Machine Learning and Deep Learning, Data Mining, Big Data, Reinforcement Learning and Data/Knowledge Representation.
Year 4: Mandatory Industry Placement
A full academic year working in industry, treated as a core, non-optional part of the degree, at a partner or approved employer, consolidating the first three years' technical training with paid real-world experience.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Innopolis University's Bachelor's degree is structured as 3 years of academic study followed by a mandatory 4th year working full-time in industry -- the university calls this its 'practice-oriented' model and treats the year as a core, non-optional part of the degree, not an optional placement. Students in Computer Science and Engineering specialise in Software Development or Cybersecurity from year 2; Data Science and Artificial Intelligence students choose from Data Science, Applied Artificial Intelligence, Robotics or Computer Game Development tracks. The university sits inside the Innopolis Special Economic Zone alongside more than 100 resident technology companies, and has named collaborations with Yandex, Sberbank, Tinkoff, VK, ICL Services, MegaFon and Kaspersky Lab (including joint cybersecurity exercises run on campus) and a joint robotics/smart-device lab with Rubetek. Innopolis University's own 17 laboratories and 9 research centres (AI, robotics, big data, software engineering, information security) give students additional project and research placements alongside the mandatory industry year.
Industry & placement partners