Data Science and Intelligent Systems (Statistical Data Analysis)

Licensed capacity
Specialty: 126 Information Systems and Technologies. Program: Information Systems and Technologies

A Data Scientist is an individual with exceptional mathematical and analytical skills. They are responsible for collecting, analyzing, and interpreting data from diverse sources. The primary duty of a Data Scientist is to draw conclusions and make well-informed decisions based on the gathered data. Data Science operates at the intersection of mathematics, statistics, computer science, business, and economics. Consequently, a proficient expert should have expertise in all these domains.

Experts in the field of Intelligent Systems develop specialized computer systems that are fully integrated inside controlled devices. These systems are designed to perform a limited set of functions and can range in size, from small devices like digital watches to large-scale applications such as traffic lights, manufacturing control devices, or nuclear power plant management systems.

The program meets the requirements of the modern market and has been updated by senior and lead industry experts.
The program’s teachers and mentors are industry experts who keep up with the latest trends in the sphere.
The opportunity for the best students to intern at leading companies of the Lviv IT Cluster.
Access to IT Studlava, a closed recruiting platform for students of the Lviv IT Cluster’s educational programs
About the program

The program was developed by representatives from the Lviv IT Cluster member companies and Ivan Franko National University of Lviv. The program encompasses the following areas:


  • Machine Learning and Artificial Intelligence
  • Data Analytics
  • Internet of Things
  • Smart Solutions and Systems


In the first year of the program, students study foundational courses needed for all directions: Advanced Mathematics, Discrete Mathematics, Algorithms and Data Structures, Programming, and Object-oriented Programming. Additionally, starting from the first year of studies, students learn to collaborate in teams alongside experienced mentors on joint projects.


During the second year, students can choose one of the program’s directions and delve into specialized subjects, further refining their knowledge in their chosen field through practical classes.

Ihor Olenych
​​Head of the Department of Radio Electronic and Computer Systems, curator of the Data Science & Intelligent Systems program.
“The uniqueness of this educational program lies in the fact that alongside a fundamental university education, graduates acquire advanced IT competencies and undergo practical training with experts from the Lviv IT Cluster member companies within the Lviv IT Cluster.”
Terms of admission

Applications are submitted only online – in electronic form. To apply, please register an electronic account on the website

Licensed capacity
₴34 680
Tuition fee

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Course map
Course 1
Semester 1
Advanced Mathematics
Discrete Mathematics
Computer Architecture
History of Ukraine
Physical Education
Semester 2
Advanced Mathematics
4 кредити
Object-Oriented Programming
4 кредити
Algorithms and Data Structures
4 кредити
IT Project Management
Physical Education
Course 2
Semester 3
Probability Theory and Mathematical Statistics
Operating Systems and System Programming
Database and Knowledge Base (Practice)
Digital Information Processing
Artificial Intelligence Systems
History of Ukrainian Culture
Elective course
Semester 4
Computational Methods
Computer Information Networks
IT Law
Data Processing Systems
Elective courses
Course 3
Semester 5
Basics of Parallel Programming
Web Technologies
Machine Learning Systems
Natural Language Processing
Cloud Services
Big Data
Elective courses
Semester 6
Information Security Technologies
Mobile Development
Modern Design Paradigms
Theory of Automatic Control
User Interfaces
Computer Electronics and Digital Circuit DesignТ
Elective courses
Course 4
Semester 7
​​Innovations and Entrepreneurship in Tech
Fuzzy Logic Systems
Decision Theory
IT Project Management
Pattern Recognition
Digital Signal Processing
Elective courses
Semester 8
Information Theory
Soft Skills
Occupational Safety and Health
Elective course
Knowledge and skills that graduates of the program will possess:
Fundamental knowledge
  • Search, analysis, and selection of information resources
  • Code of professional ethics, social significance, and cultural aspects of software engineering
  • Basic processes, phases, and iterations of the software life cycle
Professional Knowledge and Skills:
  • Professional standards and other regulatory documents in software engineering
  • Methodology of software development
  • Practical application of knowledge in data science
  • Methods and tools for gathering, formulating, and analyzing software requirements
  • Effective approaches to software design
  • Software development for embedded systems
  • Approaches to the evaluation and quality assurance of software
  • Methods of software verification and validation
Team work and soft skills
  • Effective communication, negotiation, and public speaking skills
Who can you work as after graduation:
  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Full Stack Developer
  • .NET developer
Program creators
Zenoviy Veres
Soliution Architect SoftServe
Yuriy Khoma
Head of AI в UniDataLab
Anatolii Shuparskyi
Strategic Solution Architect в GlobalLogic
What the creators think about the program
“This educational program is not only an important step in bringing education closer to the needs of the market, it also helps to shapes the future of the industry. The tech industry needs innovators who think unconventionally.”
Zenoviy Veres
Soliution Architect SoftServe
“There is a significant shortage of specialists capable of developing and implementing artificial intelligence algorithms in the job market. Graduates of this program have excellent career prospects.”
Yuriy Khoma
Head of AI в UniDataLab
“I hope that my involvement in the development of the program will assist young professionals in acquiring relevant knowledge and easily starting their careers in the industry.”
Anatolii Shuparskyi
Strategic Solution Architect в GlobalLogic

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