Educational Program "Computer Technologies in Biology and Medicine" is designing intelligent systems that guard human life. Today, a specialist in this field is a HealthTech Architect and Bioinformatics Engineer. You are the one who creates neural networks for early disease diagnosis, develops algorithms for DNA analysis, and programs "smart" medical devices. Your targets will be digital patient twins, computer vision systems for MRI, and software for surgical robots.
The goal of study is to turn you into a developer capable of translating the language of living nature into the language of algorithms. We will teach you machine learning in medicine, biomedical signal processing, big data in genetics, and the development of medical information systems. This is the territory of Life Sciences & High-End IT, where you will master Python, C++, Java, and specialized libraries for bioinformatics. You will learn to build life-saving systems using mathematical precision, becoming an architect of the medicine of the future.
Your superpower: In a world where technologies are becoming part of the human body, you will possess Bio-Computational Intelligence — the skill to see complex information structures within biological processes. Your professional arsenal will include:
- AI Diagnostics: creating algorithms that recognize pathologies in images faster and more accurately than a human.
- Genomics & Big Data: developing software for genome decoding and personalized drug selection.
- Biosensor Data Processing: programming wearable devices (Apple Watch, biosensors) for real-time health monitoring.
- Medical IoT & Robotics: building ecosystems for telemedicine and managing robotic prosthetics.
Our graduates are Lead Developers in global HealthTech giants (Siemens Healthineers, Philips Medical), bioinformaticians in innovative laboratories, mobile health app developers, and startup founders changing the global healthcare system.
Objects of professional activity for bachelor's graduates are intelligent medical systems; mathematical models of biological processes; medical visualization software; as well as cloud computing technologies for storing and analyzing biodata.
Field of study: F "Information Technologies"
Specialty: F3 Computer Science
Educational Program: Computer Technologies in Biology and Medicine
Competitive offer: Computer Technologies in Biology and Medicine
Accreditation Certificate: Educational program introduced in 2025. Extended certificate for specialty 122: UD №31008322 issued on January 25, 2019, valid until July 01, 2026.
Faculty: Faculty of Radio Electronics, Computer Systems and Infocommunications
Graduating Department: Department of Radio-Electronic and Biomedical Computerized Tools and Technologies (502)
Part-time study form available: yes
Training of foreign citizens available: yes