Robotics and Computer Vision
The Robotics and Computer Vision Master program is designed for candidates seeking key competences in Computer Science, Robotics and Programming. The students learn how to develop frameworks and algorithms for Human-computer/robot interaction and new robotics solutions with elements of AI.
Duration: 2 academic years
Start of studies: mid-August
Mode of studies: full-time, on-site
The Robotics and Computer Vision Master program was developed based on best world practices applied at Massachusetts Institute of Technology, Carnegie Mellon University, Sapienza University of Rome, National University of Singapore.
The program is designed for young professionals aimed at professional development in the fields of:
- mechatronics, management and prototyping;
- methods of complex teсhnical and optimisation problems solving, based on machine learning;
- solving applied problems in fields of self-driving transport, industrial robotics and technical vision systems.
Semester 1: Fundamental of Robot Control, Programming, Robotics 1, Sensors, Machine learning + choosing a diploma project + elective courses
Semester 2: Computer vision, Robotics 2, Autonomous systems, Behavioural and cognitive robotics + working on the diploma project
Semester 3: Computational intelligence, Self-driving car, Neiroscience + working on the diploma project + soft skills elective courses.
Semester 4: finalising the diploma project, project defense.
BS in Computer Science or similar disciplines
Strong mathematical background (Calculus, Linear Algebra, Differential Equations, Probability and Statistics)
Good knowledge of Physics and Mechanics
Programming skills (system and/or high-level programming languages)
Knowledge of English (upper-Intermediate level or higher)
Professional testing: Programming (performed on Codility platform) - 4 programming tasks (can be solved in C, C++, Java 8, Lua or Python)
Professional testing: Mathematics - Calculus, Linear Algebra, Differential Equations, Probability and Statistics
Professional testing: Physics - Mechanics, Electrical engineering
Personal interview with IU Professor
Soft skills assessment
Extended English test (Listening and Reading), IELTS-like
Check IELTS sample test, free online course Road to IELTS, other IELTS preparation materials by British Council.
NB! Once offered a scholarship, each candidate has to confirm his/her English proficiency. More information>>
Get familiar with Codility platform
Career perspectives: upon graduation, students are employed at Innopolis University partner companies: Yandex, ICL, Tinkoff and others.
The graduates usually take positions of: Senior software developer, Data Scientist, Analyst.