The Educational and Professional Program “Intelligent Data Analysis” is aimed at training specialists in the development and application of machine learning and artificial intelligence methods and technologies to solve applied problems, particularly in the following areas:
✅ Intelligent Information Retrieval
✅ Data Processing and Visualization
✅ Analysis of Texts, Signals, and Images
✅ Knowledge Discovery, Forecasting, and Decision-Making
The program allows students to tailor their learning process according to their own interests and career goals. Through elective courses, participation in research and industry projects, each student can create a personalized educational trajectory. More detailed information about the Educational Program “Intelligent Data Analysis” can be found at thefollowing link.
Сертифікат: НД № 8536, виданий 28 травня 2024 року, діє до 1 липня 2029 року
Information on the content of the Educational and Professional Program “Intelligent Data Analysis” can be obtained from the MAP ROAD DS
The courses studied within the Educational and Professional Program “Intelligent Data Analysis” are divided into core and elective subjects. Mandatory courses provide fundamental knowledge in programming, machine learning, mathematical analysis, data processing, and the development of intelligent systems. Elective courses depend on the chosen learning trajectory. Exercising their right to choose, students can select one of the three available learning trajectories.
🔹 Algorithms and Programming (C++) 🔹 Algorithmic Languages (elective: C#, Python) 🔹 Algorithmic Languages (elective: C#, Python)
🔹Algorithmic languages (choice of C#, Python)
🔹 Computer Discrete Mathematics
🔹 Discrete Structures and Data Structures
🔹 Object-Oriented Programming
🔹 Theory and Design of Algorithms
🔹 Data and Time Series Analysis
🔹 Neural Network Technologies
🔹 Distributed and Parallel Computing
🔹 Machine Learning Methods and Tools
🔹 Fundamentals of Database Design
🔹 Fuzzy Models and Methods
🔹 Optimization Methods
🔹 Project Work
🔹 Random Processes and Stochastic Systems
🔹 Theory and Design of Databases
🔹 Software Development
🔹 Big Data Infrastructure and Management
🔹 Predictive Analytics
🔹 Text Information Processing and Analysis
🔹 Mathematical Methods of Computer Vision
🔹 Deep Learning Methods
🔹 Projects in the Field
🔹 Software System Requirements Analysis
🔹 Databases and Information Systems
🔹 Data Modeling and Visualization
🔹 System Development Life Cycle
🔹 Predictive Business Analytics Tasks
🔹 Business Process Analysis and Management
🔹 Financial and Actuarial Mathematics
🔹 Risk Analysis
🔹 Projects in the Field
🔹Mathematical foundations of cryptology and cryptanalysis
🔹Modeling of socio-cyber-physical systems
🔹Software development
🔹Fundamentals of steganographic information protection
🔹Blockchain: fundamentals and examples of application
🔹Detection of anomalies in data and time series
🔹Intrusion detection
🔹Machine learning in cybersecurity
🔹Projects in the field
📲 In the bot, press the button “🎁 Determine Your Learning Trajectory 🎁” (as shown in the screenshot) 
The lecturers at the CMAD Department are true professionals, combining theoretical knowledge with practical experience. More than 70% of them simultaneously work in IT companies, allowing students to acquire up-to-date knowledge and in-demand skills.
The Educational Program “Artificial Intelligence” is built on the CDIO Initiative approach (Conceive ➡️ Design ➡️ Implement ➡️ Operate), which is used in engineering education to train specialists capable of developing and implementing complex technical systems. The CDIO concept is implemented through a sequence of integrated academic and real-world projects. Thus, project-based learning runs in parallel with theoretical studies, allowing students to develop soft skills, including: The CMAD Department actively collaborates with leading IT companies in Ukraine, ensuring a practical focus in education and the relevance of the knowledge acquired. Students undertake internships and practical training in research centers and R&D departments of top companies, working on real projects and modern technologies. Most of the department’s lecturers combine teaching with work in IT companies. As a result, students gain not only academic knowledge but also practical experience aligned with current market demands. Thanks to this, many students receive job offers even before graduation and gain a competitive advantage in employment.
Nearly a quarter of CMAD lecturers serve as coaches for teams that win international programming and mathematics Olympiads and tournaments.
Students have the opportunity to study at European universities through academic mobility programs. Each year, 2-5 top students can study at EU universities for periods ranging from 1 month to 1 semester. 🔹 Erasmus+ Mobility Programs (student exchange programs): ✅TECHNION (Israel) 🔹 Integrated Program with Aachen University (Germany) 📢 Starting from the 2024/2025 academic year, CMAD Department students can participate in the “Double Degree” program at Magdeburg University (Germany). Students have the opportunity to study at Ukrainian partner universities within the framework of academic mobility (without changing their educational program). This allows them to gain new experiences, become familiar with different teaching methods, and expand professional contacts. As part of the internal academic mobility program, students can study at: ✅ Odessa Polytechnic National University (Odessa) 📢 Academic results are recognized according to the ECTS system.
✅ University of Freiburg (Germany)
✅ Würzburg-Schweinfurt University of Applied Sciences (Germany)
✅ National Technical University Dnipro Polytechnic (Dnipro)
At the CMAD Department, students not only study but also become part of an active community where it is easy to find like-minded peers and friends. Collaborative project work, participation in events, and informal interactions help build connections that are valuable both during studies and in future careers.
First-year students receive support through the student mentorship program. Senior students help them adapt to studies, navigate schedules, handle documentation, and get involved in student life. Mentorship from lecturers and IT experts provides students with professional guidance, opportunities to develop real-world cases, and the chance to grow in their chosen field. Students of the department actively participate in national and international IT competitions: ✅Programming and Mathematics Olympiads (ICPC, Eolymp Cup, University Cup, All-Ukrainian Student Olympiads, Programming Grand Prix, etc.) Participation in these events helps students develop technical skills and teamwork abilities. For many, it is also an opportunity to showcase their talents and gain recognition among employers. Students of the department participate in inter-university projects and educational initiatives that open new opportunities in AI and Data Science. ✅ML WEEK – an inter-university winter school where students from different universities work in mixed teams on real AI and Data Science projects. These activities help students gain valuable contacts, real-world experience, and build a portfolio of cases in AI and Data Science. The CMAD Department regularly organizes meetings with leading IT specialists – startup founders, technical directors, and developers of cutting-edge technologies. Students learn about artificial intelligence, Web3, Big Data, modern career opportunities, and the journey from an idea to a successful product. This is a real opportunity to gain insights from professionals, ask questions, and establish valuable contacts for a future career. 🎥 Recordings of the meetings can be viewed here: Playlist of Meetings with IT Specialists
✅Hackathons and Technical Competitions (IEEEXtreme, AI FOR DEFENCE, etc.)
✅ІInnovation and Startup Competitions (CIG R&D LAB, etc.)
✅Joint research and educational initiatives – experience exchange with other universities.
✅Access to modern technologies and trends, with the opportunity to present their own developments to experts and potential employers.
Graduates of the CMAD Department work in leading Ukrainian and international companies in positions such as: ✅ Artificial Intelligence / Machine Learning Engineer 🏢 Career opportunities are not limited to the IT sector. 📊 banks
✅ Data Scientist
✅ Data Engineer
✅ Software Developer
✅ Business Analyst
✅ Cybersecurity Specialist
Our graduates also work in:
📈 financial institutions
🔬 analytical and research centers
📍 consulting companies
🏭 manufacturing enterprises, etc.
ATTENTION! Applicants applying to the CMAD Department’s educational programs submit documents:
✅ either electronically through the Applicant’s Portal
✅ or in paper form to the Admissions Office of the Educational and Scientific Institute of Computer Science and Information Technologies: Kharkiv, Kyrpychova St., 2, Academic Building U2, Basement Floor.
A mandatory requirement for all forms of study is the Motivation Letter (F1 Applied Mathematics) Special admission conditions: To review the list of applicant categories eligible for admission through interviews and special conditions (Quota-1 and Quota-2), follow the link.
For your convenience, the most important and up-to-date information about educational programs and admission requirements has been collected in the Telegram Chatbot.
📞Phone number: +38 (050) 630-27-99 📞 Phone number: +38 (097) 113-45-19 📲Telegram (chat with the applicant coordinator)