Degree: Bachelor
Type of education: Full-time
Number of semesters: 8
Professional qualification: Informatics and Computer Sciece
Professional field: INFORMATICS AND COMPUTER SCIENCE
First year: 2025
The aim of the education in the specialty "Data Science" is the preparation of specialists with higher education with a bachelor's degree who have skills and competences related to performing various activities in the field of organization, administration, integration of data, performing of intelligent business analytics and extracting new knowledge from data.
Students receive a broad fundamental training in the field of informatics and computer science, and the specialized disciplines give them a good, profiled training in the field of data processing and analysis. Various forms are used in the training process, such as: practical classes in computer laboratories; solving cases and tasks from practice; development of course projects; independent studies; teamwork etc. Access to modern software products in the academic programs of leading IT companies is provided.
Graduates of the "Data Science" can work in public and business organizations in the following positions:
| Studied subjects | Semester | Credits | Type of grading | Student involvement | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | Self-study | Classes | Competence2 | ||||||||||
| CORE | |||||||||||||
| Introduction to Informatics | 1 | 9 | Exam | 270 | 195 | 75 | |||||||
| Computer Architectures | 1 | 9 | Exam | 270 | 195 | 75 | |||||||
| Physical Education | 1 | 1 | Ongoing assessment | 30 | 0 | 30 | |||||||
| Linear Algebra and Analytic Geometry | 1 | 9 | Exam | 270 | 195 | 75 | |||||||
|
Electives (1)
|
1 | 3 | Ongoing assessment | 90 | 60 | 30 | |||||||
| Operating Systems | 2 | 8 | Exam | 240 | 165 | 75 | |||||||
| Introduction to Programming | 2 | 8 | Exam | 240 | 165 | 75 | |||||||
| Physical Education | 2 | 1 | Ongoing assessment | 30 | 0 | 30 | |||||||
| Mathematical Analysis | 2 | 8 | Exam | 240 | 165 | 75 | |||||||
|
Electives (1)
|
2 | 3 | Ongoing assessment | 90 | 60 | 30 | |||||||
| Database Fundamentals | 3 | 9 | Exam | 270 | 195 | 75 | |||||||
| Object Oriented Programming | 3 | 9 | Exam | 270 | 195 | 75 | |||||||
| Physical Education | 3 | 1 | Ongoing assessment | 30 | 0 | 30 | |||||||
| Numerical Methods and Algorithms | 3 | 8 | Exam | 240 | 165 | 75 | |||||||
| Physical Education | 4 | 1 | Ongoing assessment | 30 | 0 | 30 | |||||||
| Discrete Mathematics | 4 | 9 | Exam | 270 | 195 | 75 | |||||||
| Total for CORE | 0 | 0 | |||||||||||
| Special | |||||||||||||
| Academic Research | 2 | 3 | Ongoing assessment | 90 | 60 | 30 | |||||||
| Programming in Python | 4 | 6 | Exam | 180 | 120 | 60 | |||||||
| Statistics for Data Science | 4 | 9 | Exam | 270 | 195 | 75 | |||||||
|
Electives (1)
|
4 | 6 | Exam | 180 | 120 | 60 | |||||||
| Machine Learning Part 1 | 5 | 8 | Exam | 240 | 165 | 75 | |||||||
| Programming in R | 5 | 8 | Exam | 240 | 165 | 75 | |||||||
|
Electives (1)
|
5 | 8 | Exam | 240 | 180 | 60 | |||||||
| Computer Networks and Communication | 6 | 7 | Exam | 210 | 135 | 75 | |||||||
| Business Intelligence and Analytics Platforms | 6 | 7 | Exam | 210 | 135 | 75 | |||||||
| Machine Learning Part 2 | 6 | 6 | Exam | 180 | 120 | 60 | |||||||
| Cloud Computing | 7 | 8 | Exam | 240 | 180 | 60 | |||||||
| Natural Language Processing | 7 | 8 | Exam | 240 | 165 | 75 | |||||||
| 7 | 8 | Exam | 240 | 180 | 60 | ||||||||
|
Electives (1)
|
7 | 6 | Exam | 180 | 120 | 60 | |||||||
| Management of Information Security | 8 | 5 | Exam | 150 | 90 | 60 | |||||||
| Analysis of Data from Internet Sources | 8 | 5 | Exam | 150 | 75 | 75 | |||||||
| Deep Neural Networks (Deep Learning) | 8 | 5 | Exam | 150 | 90 | 60 | |||||||
|
Electives (1)
|
8 | 5 | Exam | 150 | 90 | 60 | |||||||
| Total for Special | 0 | 0 | |||||||||||
| University specialised | |||||||||||||
|
Electives (1)
|
3 | 4 | Exam | 120 | 60 | 60 | |||||||
|
Electives (1)
|
5 | 6 | Exam | 180 | 120 | 60 | |||||||
|
Electives (1)
|
6 | 5 | Exam | 150 | 90 | 60 | |||||||
| Total for University specialised | 0 | 0 | |||||||||||
| Practical | |||||||||||||
| Practical Training | 6 | 8 | Exam | 240 | 240 | 0 | |||||||
| Total for Practical | 0 | 0 | |||||||||||
| Graduate | |||||||||||||
|
Electives (1)
|
8 | 10 | Exam | 300 | 300 | 0 | |||||||
| Total for Graduate | 0 | 0 | |||||||||||
| Total for the entire period of study | 247 | 7410 | 5145 | 2265 | |||||||||
| Optional courses | Semester | Credits | Student involvement | ||||||||||
| Total | Self-study | Classes | Competence2 | ||||||||||
| 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 7, 7 | 3, 3, 3, 3, 3, 1, 3, 3, 3, 1, 3, 1 | 900 | 495 | 405 | |||||||||