University of Economics – Varna

Data Science

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: 2022

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:

  • data analysts;
  • data warehouse designers and developers;
  • data mining specialists;
  • database administrators;
  • data integrators;
  • database architects;
  • data quality experts;
  • information management experts;
  • business intelligence experts;
  • artificial intelligence experts;
  • data science researchers;
  • and others.
Programme
First year
2022
Studied subjects Semester Credits Type of grading Student involvement
Total Self-study Classes
CORE
Computer Systems 1 9 Exam 270 210 60
Programic Fundamentals 1 9 Exam 270 210 60
Physical Education 1 1 Ongoing assessment 30 0 30
Linear Algebra and Mathematical Analysis 1 9 Exam 270 210 60
English 1 3 Ongoing assessment 90 60 30
Object Oriented Programming 2 8 Exam 240 180 60
Physical Education 2 1 Ongoing assessment 30 0 30
Probability Theory and Mathematical Statistics 2 8 Exam 240 180 60
Mathematical foundations of informatics 2 8 Exam 240 180 60
English 2 3 Ongoing assessment 90 60 30
Web Technologies 3 7 Exam 210 150 60
Programming in Python 3 8 Exam 240 180 60
Data Analysis in Excel 3 7 Exam 210 150 60
Physical Education 3 1 Ongoing assessment 30 0 30
Statistics for Data Science 3 8 Exam 240 180 60
Physical Education 4 1 Ongoing assessment 30 0 30
Total for CORE 0 0
Special
Research in Data Science 2 3 Ongoing assessment 90 60 30
Machine Learning Part 1 4 8 Exam 240 165 75
Artificial Intelligence 5 6 Exam 180 120 60
Computer Networks and Communication 5 6 Exam 180 120 60
Relational Databases 5 8 Exam 240 165 75
Electives (1)
  • Programming for Arduino
  • Administration of Linux Systems
5 6 Exam 180 120 60
Business Intelligence and Analytics Platforms 6 6 Ongoing assessment 180 120 60
Internet of Things 6 6 Exam 180 120 60
Machine Learning Part 2 6 6 Exam 180 120 60
Virtualization Systems 6 6 Exam 180 120 60
Electives (1)
  • Security Management
  • Business Analyses
6 6 Exam 180 120 60
Cloud Technologies 7 6 Ongoing assessment 180 120 60
Non-relational Databases 7 6 Exam 180 120 60
Natural Language Processing 7 6 Exam 180 120 60
Programming in Java 7 6 Exam 180 120 60
Electives (1)
  • Real-time Data Processing
  • Web Programming
7 6 Exam 180 120 60
Analysis of Data from Internet Sources 8 5 Exam 150 90 60
Big Data 8 5 Exam 150 90 60
Deep Neural Networks (Deep Learning) 8 5 Exam 150 90 60
Encryption and Data Protection 8 5 Exam 150 90 60
Total for Special 0 0
University specialised
Programming in R 4 7 Exam 210 150 60
Electives (1)
  • Algorithms and Data Structures for Data Science
  • Logical and Functional Programming
4 7 Exam 210 150 60
Electives (1)
  • Mathematical Modelling
  • Server Administration
4 7 Exam 210 150 60
Total for University specialised 0 0
Practical
Practical Training 6 8 Exam 240 240 0
Total for Practical 0 0
Graduare
Electives (1)
  • Comprehensive State Exam
  • Thesis Defense
8 10 Exam 300 300 0
Total for Graduare 0 0
Total for the entire period of study 247 7410 5250 2160


Optional courses Semester Credits Student involvement
Total Self-study Classes
Чужд език-английски 5, 6 3, 3 180 120 60