Information about the Department

🎯 Mission and Vision: Who We Are and Why We Do It

💡The world is changing rapidly, but the ability to see the essence, analyze and create something new remains invaluable. We train a new type of specialists with mathematical thinking and technological flexibility. Those who can create solutions where templates do not work. Our mission is to shape creators who combine a strong mathematical foundation with skills in analytics, software development and artificial intelligence

🌏The Department’s path: from classical mathematics to modern technologies

BSc Intellectual Data Analysis BSc Artificial Intelligence MSc Intellectual Data Analysis

🧩 We combine knowledge, experience and support

Our approach is based on:

  • 📐 fundamental mathematical education
  • 🧮 algorithmic and analytical thinking
  • 💻 professional IT training (programming, software engineering)
  • 🧠 AI and modern approaches to machine learning and data analysis
  • 🌍 international opportunities (academic mobility, grants, competitions)
  • 🎯 focus on business, security and advanced technologies
  • 🔄 individual learning tracks and multi-level training
  • 💬 development of soft skills and English proficiency
  • 🧳 real cases, practice and guaranteed employment

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📂 Our Projects: We Work on Real Problems

🎓 Student Projects – Practice from the First Year

From the very beginning of their studies, each student works on real problems in Data Science, Big Data and AI.

🔹 Sectors: finance, healthcare, marketing, industry, energy, public administration and more

🔹Tasks: data collection and preparation, model training, testing, development of recommendation systems, user behavior analysis.

🔹 Tools: Python, R, TensorFlow, PyTorch, SQL, Hadoop, Spark – everything used by Google, Amazon, Meta and others.

🔬 Scientific Activities of the Department – Researching the Future

The department actively develops modern аreas that form the basis of digital technologies and intelligent solutions.

🔸 Methods of intelligent data analysis and machine learning-based forecasting

🔸 Mathematical computer modeling of technical and financial-economic systems

🔸 Information technologies for managing networked and multi-agent systems under uncertainty and risk

💼 Educational Process Embedded in the Real IT World

Education, science and business interact as an integrated system. The CMDA Department serves as a meeting place for these spheres where students work on real cases, lecturers research the future, and companies find partners and young talents.

Why Do Companies Collaborate with Us?

📌 Internships and talent scouting: our students work on real projects from the first year, gaining practical experience as junior specialists

📌 Joint research and R&D projects: the department participates in applied scientific developments in AI, data analysis and modeling

📌 Partnership in implementing innovations: from participation in educational programs to collaboration within dual education formats

📌 Initiatives in the form of joint events: marathons, technical meetings, hackathons supported by partners

📌 Dual education: combining learning with practice in real companies

📣Become part of the team that shapes the technologies of the future!

🎓 For Students: We Teach Through Programs

Bachelor’s Programs

Intellectual Data Analysis 

Artificial Intelligence

Master’s Programs

Intellectual Data Analysis

🤝 For Partners: Creating the Future Together

📌 Participation in the development of educational programs

📌 Joint research and R&D projects

📌 Internships and employment of graduates

📌 Partnership in hackathons, technical events and educational initiatives

📍 Contacts:

Email: kmad@khpi.edu.ua

Department Head:

Olena Borysivna Akhiiezer

(050) 630 27 99
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E-mail: Olena.Akhiiezer@khpi.edu.ua

Coordinator for Applicants:

Nataliya Vyacheslavivna Karpenko

(097) 113  45 19
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📢Come, write and join the innovative community!🚀