National Aerospace University «Kharkiv Aviation Institute»

122 Computer Science

Specialty 122 «Computer Science» prepares specialists in algorithmic modeling, software systems development, artificial intelligence, and big data processing. Training combines theoretical fundamental computer science with practical programming.

Main Study Areas:

Artificial Intelligence and Machine Learning: development of neural networks, Computer Vision algorithms, and Natural Language Processing (NLP).

Software and Systems Development: design of cross-platform applications, web services, and high-load systems.

Data Analysis and Algorithmics: creation of efficient algorithms for processing, structuring, and searching in large datasets (Big Data).

Systems Design and Databases: computer systems architecture, relational and non-relational databases, cloud computing.

Key Disciplines:

Algorithms and Data Structures

Object-Oriented and Functional Programming (C++, Python, Java)

Machine Learning and Artificial Intelligence

Database and Knowledge Base Organization (SQL, NoSQL)

Operating Systems and System Programming

Probability Theory and Mathematical Statistics for Data Science

Graduate Career Roles:

Software Engineer (Backend, Frontend, Full-stack)

AI / Machine Learning Engineer

Data Scientist / Data Analyst

Database Administrator / Data Engineer

Systems Architect / Systems Analyst

Primary Employment Sectors:

Product and outsourcing IT companies, R&D centers of tech corporations, financial and banking institutions, analytical departments of retail, medical, and telecommunications technology companies, defense industry enterprises.

Training is conducted at the departments:

- Department of Design Information Technologies (105)

- Department of Computer Science and Information Technologies (302)

- Department of Mathematical Modeling and Artificial Intelligence (304)

- Department of Radio-Electronic and Biomedical Computerized Means and Technologies (502)

Training is provided under the following degree programs:

Educational Program Degree Level Mode of Study Duration of Study
Design Information Technologies Bachelor based on complete general secondary education Full-time 3 years and 10 months
Computerization of Information Processing and Management
Intelligent Systems and Technologies
Computer Technologies in Biology and Medicine Full-time and Part-time
Design Information Technologies Master's Degree, Educational and Scientific Program Full-time 1 year and 9 months
Information Technologies
Doctor of Philosophy Full-time and Part-time 4 years