Master's program
Computer Engineering: Applied AI and Robotics

Program Details

Program Name: Master’s in Computer Engineering: Applied AI and Robotics
Code : 09.04.02* Information Systems and Technologies
Department: Faculty of Innovative Technologies
Form of Education : Full-Time (in-campus) 120 EC or Full-Time (in-campus + distance learning) 120 EC
Medium of Instruction: English
Duration : 2 years

*Note : Please mention the code and the name of the program while applying through any admissions portal.
*Important - Applications can be welcome as of 15th January 2022

Important Dates

Start month: September
Applications accepted from : January 15
Application deadline: August 23
Entrance tests: January 16 - August 23

Entrance Exams : Interview + Motivation Letter

To find out more about entrance exams please visit Program Requirements.


1'st Semister

  • Mathematical Foundations of Information Systems
  • Theory of control systems
  • Technology management
  • Automation of technology processes (Part 1)
  • AI and machine learning (Part 1)
  • Intelligent analysis of big data
  • Professional communication in a foreign language
  • Project management
  • Research work

2'nd Semister

  • System simulation
  • System design
  • Automation of technology processes (Part 2)
  • AI and machine learning (Part 2)
  • System engineering
  • Distributed computing technologies
  • Quality management in automatic control systems
  • Academic seminar
  • Research work

3'rd Semister

  • Vision systems
  • Intellectual property protection
  • Embedded systems
  • Leadership and Teamwork Management
  • Navigation systems
  • Technical Measurements and Experimental Techniques
  • Intercultural interaction
  • Academic seminar
  • Research work

4'th Semister

  • Research work
  • Soft Skills
  • Master's Thesis Defence

Possible Research Areas for Students :

  • 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

To find out more about R&D at our Faculty please visit our Labs and R&D.