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The admission process to TSU is provided through a single TSU
Admission Requirements Applicants must have a Bachelor’s degree in computer science (or related area) and basic knowledge in programming, mathematics (linear algebra, linear differential equations), circuit theory, and computer architecture.
Entrance Exams According to the admission procedure for the Master’s degree program, applicants undergo entrance exams. The entrance exam consists of a motivation letter and an interview. After submiting the application, we suggest you to prepare a short(1-2 pages) motivation letter and prepare for the interview. You will be contacted shortly after the application is submitted. Sample questions for the interview can be downloaded here. All applicants are encouraged to start applications early and take their time presenting their portfolio. It takes about 3 months to complete all the admission procedures and arrive here. Detailed instructions about the admission process can be found here. If you have any questions, feel free to contact us by e-mail at Robotics@mail.tsu.ru
Payment schedule The total amount of tuition fee per one academic year is usually divided into three parts with equal payments in spring/summer (after signing a learning agreement with TSU), in November and in February of the next calendar year.
The program is intended for specialists able and willing to carry out research projects in the field of Applied Artificial Intelligence and Robotics. Students gain skills and knowledge in computer-assisted vision, intelligent vision systems, simulation modeling of complex technological processes, and mathematical modeling of processes. Students learn how to develop and operate Autonomous Mobile Robotic Systems, Automated Information Systems and Unmanned Transport Systems.
Research and researcher
Robotics
Applied AI
Robot operating system
Vision system
Master students gain skills and knowledge in the following areas:
Modeling and simulation
Embedded system
Unmanned vehicles
The Faculty of Innovation Technologies at National Research Tomsk State University has been one of the leading contributers to develpoment and research of Unmanned Systems in the nation. Knowledge exploration throughout the University’s network of facilities is united by a culture of innovation. An unprecedented commitment from the student center of Russia(Tosmk) ensures TSU attracts internationally renowned faculty and the world’s brightest students. A tradition of guiding and supporting outstanding students makes TSU a standout in Academics and beyond. As a vibrant, progressive leader, the Faculty of Innovation Technologies at TSU fosters a diverse and dynamic culture that meets the challenges of a changing global society.
Why join the International Masters program at Tomsk State University?
Intelligent systems for unmanned ground vehicles (work with Autoware, Appollo, LGSVL Simulator).
Design and simulation adaptive control system.
Intelligent control system for UAV (computer vision, HIL-simulation, testing).
Computer vision systems (different applications, simulation).
Image Recognition with FPGA (simulation, MATLAB + Quartus).
Construction of binary neural networks.
Intelligent systems for research big data.
Design control system detect attack network.
Research and development of security protocol for data transfer.
Intelligent systems for semantic text analysis.
Creation of web applications.
Investigations in dynamics of plastic deformation processes in FCC materials.
Students are encouraged to come up with their own research topics and discuss them with their scientific advisors.
artificial intelligence for unmanned aerial system
autonomous unmanned aerial
vision system
control systems
UAV Training Area Specifications:
space (14 x 17 x 8) m
advanced motion capture system:
34 cameras (up to 400 fps)
object positioning accuracy - 0.1 mm
UAV Training Center Specifications:
high-performance computer classroom
gyroscopic stand for testing control systems for unmanned aerial
Opportunities:
creation and development of control systems for unmanned aerial, specialized software
creation of test benches and testing methods for unmanned aerial
Faculty domain and infrastructure
At the Faculty of Innovation Technologies we believe that with hard work and determination, anyone can max out their potential. Just ask our Students!
Everyone at TSU is very friendly and helpful, I am greatful to get to be a part of the Tomsk State University Family.
- Edgar Solis Romeu Web Developer - ABC Inc.
- Mainak Mondal Engineer - TSU.
- Michael Oduro Persuing Higher Studies
Mainak Mondal is an M.S. graduate from Tomsk State University (2020), specializing in Robotics with a focus on advanced control systems for Unmanned Aerial Vehicles (UAVs). During his time at TSU, he worked on various projects at the High Performance Reconfigurable Systems (HPRS) Laboratory under the guidance of Dr. Stanislav Shidlovskiy and Dr. Dimitry Shashev. His research contributions include the development of an infrared-guided autonomous multirotor landing system and a GPS-denied return-to-home system for multirotors, addressing key challenges in UAV navigation and autonomy.
As part of his flagship project, the DroneHunter, he and the team at the HPRS lab designed an autonomous scout/attack UAV equipped with advanced obstacle avoidance and autonomous flight routines. The system integrated a low-altitude radar-based threat detection module that autonomously activates the UAV and initiates a scan upon object detection. Additionally, they implemented an AlexNet-based CNN for real-time identification of aerial threats, enabling precision interception using a net-gun capture mechanism.
He is currently pursuing a Ph.D. in Computer Science and Engineering at the University of Connecticut, USA.
Tomsk State University has given me more than enough oppertunities to shine. Accepting TSU's offer was a turning point in my career.
Graduating FIT with an MSc in IT has been an incredibly rewarding experience. The program not only provided me with a strong foundation in advanced computing concepts but also offered hands-on opportunities to work with cutting-edge technologies. What truly made the journey special was the unwavering support of the professors and faculty staff. Their expertise, approachability, and willingness to guide students through challenges made learning both engaging and enjoyable. Whether it was through insightful lectures, research discussions, or one-on-one mentoring, they created an environment that fostered growth and innovation. I am truly grateful for their encouragement and for the collaborative learning atmosphere that helped me develop both technically and professionally.
- Ehsan Saleh
Student reviews:
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