Educational and Professional Program “Artificial Intelligence” is aimed at training specialists in the development of modern methods and technologies of artificial intelligence for solving applied problems, particularly in the following areas:
✅Mobile Systems Management
✅Cybersecurity
✅Big data analysis and processing
✅Intelligent automated systems
The program allows students to adapt the learning process to their own interests and career goals. With elective courses and participation in scientific and industrial projects, everyone can create a personalized educational path. For more details on the “Artificial Intelligence” educational program, please visit this link.
The curriculum information for the “Artificial Intelligence” EPP is available in the MAP ROAD AI file
The disciplines studied under the “Artificial Intelligence” EPP are divided into compulsory and optional courses. The compulsory courses establish foundational knowledge in programming, machine learning, mathematical analysis, data processing, and the development of intelligent systems. Optional disciplines depend on the chosen educational trajectory. Exercising the right to free choice, students may select one of the two available educational trajectories.
🔹Algorithmization and programming 🔹Mathematical foundations of control theory 🔹Mathematical foundations of information security
🔹Methods and tools of artificial intelligence
🔹Fundamentals of machine learning
🔹Databases and data warehousing
🔹Artificial neural networks
🔹Discrete mathematics
🔹Algorithms and data structures
🔹Object-oriented programming
🔹Fuzzy models and methods
🔹Fundamentals of cybersecurity
🔹Intelligent data analysis
🔹Distributed computing and cloud technologies
🔹Computer systems architecture
🔹Software design and development
🔹Parallel computing
🔹Optimization methods and operations research
🔹Computer networks
🔹Intelligent technologies on the Internet and Semantic Web
🔹Algorithmic languages
🔹Control theory
🔹Fundamentals of intelligent control
🔹Digital signal and image processing
🔹Deep Learning
🔹Computer vision
🔹Intelligent multi-agent systems
🔹Intelligent mobile systems
🔹Field projects
🔹Algorithmic languages
🔹Fundamentals of cryptology and cryptography
🔹Fundamentals of blockchain
🔹Computer incident management in cyberspace
🔹Ethical hacking
🔹Internet of things security and artificial intelligence
🔹Intelligent intrusion detection systems
🔹Protection of critical infrastructure facilities
🔹Field projects
📲 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 ІТ companies, allowing students to acquire up-to-date knowledge and in-demand skills
The EP “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 а 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: -teamwork role -distribution -interpersonal communication The CMAD Department actively collaborates with leading ІТ companies in Ukraine, ensuring а 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 ІТ companies. As а 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 а competitive advantage in employment.
Almost a quarter of the faculty members at CMAD are coaches of winning teams in international programming and mathematics competitions and tournaments.
Students have the opportunity to study at European universities through academic mobility programs. Each year, 2-5 top students can pursue studies at EU universities for a period ranging from one month to one semester. 🔹Erasmus+ Mobility Programs (student exchange programs): ✅Technion (Israel) ✅University of Freiburg (Germany) ✅Technical University of Applied Sciences Würzburg-Schweinfurt (Germany) 🔹Integrated Program with RWTH Aachen 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: ✅Odesa Polytechnic National University (Odesa) ✅Dnipro University of Technology (Dnipro) 📢Academic results are recognized according to the ECTS system.
At the СMAD Department, students not only study but also become part of a vibrant community where it is easy to find like-minded peers and friends. Working together on projects, participating in events, and engaging in informal communication help build connections that prove 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-Ukrainiar Student Olympiads, Programming Grand Prix, etc.) ✅ Hackathons and Technical Competitions (IEEEXtreme, AI FOR DEFENCE, etc.) ✅ Innovation and Startup Competitions (CIG R&D LAB, 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 interuniversity projects and educational initiatives that open up new opportunities in the fields of AI and Data Science. ✅ML WEEK – an interuniversity winter school where students from different universities work in mixed teams on real projects in AI and Data Science. ✅Joint research and educational initiatives – experience exchange with other universities. ✅Access to cutting-edge technologies and trends, along with opportunities to present original projects to experts and potential employers. These activities help students gain valuable contacts, real-world experience, and build а portfolio of cases in AI and Data Science. The CMAD Department regularly organizes meetings with leading ІТ 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 а successful product. This is а real opportunity to gain insights from professionals, ask questions, and establish valuable contacts for а future career. 🎥 Recordings of the meetings can Ье viewed here: Playlist of Meetings with ІТ Specialists
Students can take certified training through international programs (such as Google Cloud and others) to validate their skills and enhance their competitiveness.
Graduates of the CMAD Department work in leading Ukrainian and international companies in positions such as: ✅AI Engineer / AI Developer 🏢Career opportunities are not limited to the IT sector. Our graduates also work in: 🤖startups in AI and automation
✅Machine Learning Engineer
✅MLOps Engineer (model deployment and support engineer)
✅AI Product Developer
✅Data Engineer (data integration for AI systems)
✅Computer Vision or NLP Specialist
🚗development of autonomous systems and smart solutions
🏥medical technologies and diagnostics
🏭industrial analytics and manufacturing
📡projects involving computer vision, voice interfaces, and predictive models, among others
ATTENTION! Applicants applying for study in the CMAD Department’s educational programs must submit their documents:
✅either electronically via the applicant’s online account
✅or in paper form to the Admissions Committee of the Educational and Scientific Institute of Computer Science and Information Technology: Kharkiv, 2 Kyrpychova St., Building U2, basement floor
Mandatory Requirement for All Forms of Study – Motivation Letter (F3 “Artificial Intelligence”) Special admission conditions: To review the list of applicant categories eligible for admission through an interview and under special conditions (Quota-1 and Quota-2), please follow the link.
For your convenience, the most important and up-to-date information about educational programs and admission requirements has been compiled in a Telegram chatbot.
📞Tel: +38 (050) 630-27-99 📞Tel: +38 (097) 113-45-19 📲Telegram (chat with the admissions coordinator)