National Aerospace University «Kharkiv Aviation Institute»

F1 Applied Mathematics

Specialty F1 Applied Mathematics is the mastery of the language in which the universe is written. Today, an applied mathematician is not a theorist with chalk, but a Machine Learning Engineer, Data Scientist, and Quant Developer. You are the one who turns the chaos of raw data into elegant algorithms that control drones, forecast stock markets, and build artificial intelligence. The objects of your activity will be neural networks, mathematical models of pandemics, cryptographic protocols, and complex digital systems.

The goal of training is to transform your brain into the most powerful processor capable of solving problems that seem impossible to others. We will teach you mathematical modeling, game theory, numerical methods, and modern programming (Python, C++, R). This is the realm of Pure Logic & High Tech, where abstract formulas become working code. You will learn to design self-learning intelligent systems, becoming an architect of tomorrow's intellectual infrastructure.

Your superpower: In a world where data is the new oil, you will possess Algorithmic Mastery and Analytical Intelligence—the ability to see structure where others see noise. Your professional toolkit will include:

- Machine Learning & AI: creating algorithms that recognize faces, text, and human emotions.

- Big Data Analytics: processing vast arrays of information to uncover hidden patterns.

- Cryptography & Cyber Security: developing unhackable data protection systems.

- Financial Mathematics: risk modeling and trading bot development for global exchanges.

Our graduates are top developers at Google, Facebook, and Amazon, Wall Street hedge fund analysts, cybersecurity system architects, and founders of reality-shaping DeepTech startups.

Objects of activity for bachelor's graduates include complex systems of various natures; mathematical models of processes and phenomena; data analysis information technologies, and software for intelligent computing systems.

The training is provided by the Department of Postgraduate education and Doctorate.

Educational Programs Offered:

Educational Program Degree Mode of Study Duration of Study
Applied Mathematics Doctor of Philosophy (PhD) Full-time and Part-time 4 years