* In 2024, the results of the national multi-subject test (NMT) of 2022-2023 or the results of the external independent assessment (ZNO) of 2021 are used for admission (exclusively the entire test that took place in the corresponding year, without the possibility of choosing subjects from different years).

This year, entrants who plan to obtain a bachelor's degree at KPI named after Igor Sikorskyi, must provide a letter of motivation for admission to the university when submitting electronic applications.
Thus, for admission both by state order and at the expense of individuals and/or legal entities to the specialty 113 Applied Mathematics, all entrants must submit the results of the NMT or ZNO and a motivation letter.

The main session of the NMT will be held from 18 July to 10 August in Ukraine and 39 European countries, so you can take the test even outside the country.

On the website of the Admissions Committee of Igor Sikorsky Kyiv Polytechnic Institute, you can find the main dates of application and document submission, entrance examinations, competitive selection and enrolment of applicants on the basis of complete general secondary education, as well as the schedule of the Admissions Committee of Igor Sikorsky Kyiv Polytechnic Institute during the application and document submission.

• Bachelor's degree: 3 years and 10 months (4 academic years)
• Master's degree in educational and professional training: 1 year and 4 months (1.5 academic years)
• Master's degree in educational and scientific training: 1 year and 9 months (2 academic years)

The cost of one year of bachelor's degree study at the Department of Applied Mathematics in the academic year 2024/25 is

• full-time (full-time) education - UAH 34,900.

The department offers the following classes:

at the bachelor's level (see the curriculum):

• math classes: "Algebra and Geometry", "Mathematical Analysis", "Discrete Mathematics", "Mathematical Logic and Algorithm Theory", "Differential Equations", "Numerical Methods", "Operations Research and Methods of Optimization", "Mathematical Modelling" (including electives: "Theory of Functions of a Complex Variable", "Applied Mechanics", "Functional Analysis", "Random Processes", "Equations of Mathematical Physics", "Optimal Control Theory", "Systems Analysis" etc.);
• data science and machine learning classes: "Critical Thinking and Decision Making", "Probability Theory", "Mathematical Statistics", "Prompt Engineering", "Data Visualization", "Artificial Intelligence", "Data Analysis", "Foundations of Machine Learning", "Deep Learning", "Business Analysis in IT";
• software engineering classes: "Programming", "Architecture of Computer Systems", "Algorithms and Data Structures", "Introduction to Databases and Information Systems", "Databases and Information Systems", "Distributed and Cloud Computing" (including electives: "Front-end Development", "Functional Programming", "Object Oriented Programming", "Software Quality Assurance", "Algorithms and Systems of Computer Mathematics");

at the master's level:

• 1.5-year master's program (see the curriculum): "Machine Learning", "Data Mining", "Architecture and
  Technology of Big Data Systems", "Modelling of Complex Systems", "Project Management" (including electives: "Fuzzy Mathematics", "Numerical Methods of Mathematical Physics", "Geometric Modelling", "Blockchain Technology", "Decision Support Methods", "Methods of Reliability Theory and Risk", "Mathematical Modelling in Medical, Biological, and Pharmaceutical Research");
• 2-year master's program (see the curriculum): the same as above, as well as "Generative Artificial Intelligence", "Natural Language Processing", "Applied Modelling" (including electives: "Econometric Analysis", "Reinforcement Learning", "Data Science Systems", "Evolutionary Computing").

The department teaches the following programming languages:

• 1st year: Python, C/C++
• 2nd year: Java, Javascript, Haskel
• 3rd year: SQL, R
• 4th year: SQL, m (Matlab)

Deep knowledge of mathematics, data science, and information technologies opens a variety of opportunities for department alumni in the modern labor market. There one can find exactly what corresponds to one’s abilities and preferences.

Our alumni work in the most popular organizations and companies in Ukraine as well as abroad:

• Data Scientist, Machine Learning Engineer, Data Engineer, Data Analyst, Business Analyst: European Commission, Interpol, Amazon, PrivatBank, Dragon Capital, etc.
• Software Engineer, Web Developer: Microsoft, Google, Samsung R&D, EPAM Systems, GlobalLogic, Infopulse, Luxoft, Ciklum, DataArt, Terrasoft, etc.
• Technical Lead, System Architect, System Administrator: Miratech, Ciklum, Luxoft, Nokia Networks, etc. 
• Researcher: Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Institute of Mathematics of the National Academy of Sciences of Ukraine, Western universities and research centres

Average salaries of relevant specialists in Kyiv with 3 years of experience as of December 2022 (according to dou.ua):

• Machine Learning Engineer — $4500
• Data Scientist — $3500
• Middle Software Engineer (Java) — $3300
• Technical Lead — $5200

For example, a number of our students have continued their studies at European universities, including double degree programs, after completing their bachelor's degree.

For more information about the department's international academic relations, see the International Activities page.

Yes, for many years faculty, graduates, and undergraduates of the department maintain active international research connections.

Detailed information can be found on the “Research” and “ Inernational Activities” pages.

Yes, 3rd and 4th years department students may undergo military training in the program of training reserve officers at the Department of Military Training of the Igor Sikorsky KPI. After finishing the training, graduates get the military rank of junior lieutenant.

Detailed information can be found on the Department of Military Training of the Igor Sikorsky KPI website.

Yes, department students can be accommodated in the dorm 14.

Detailed information can be found on the Student City website.

Detailed information about living in the dorm can be found on the “Dormitory” page.