Data Science and Machine Learning
Faculty of Engineering

About Department

The Master of Science program in Data Science and Machine Learning aims to provide advanced theoretical and practical knowledge in machine learning, big data, and AI; equips students with skills to solve complex problems in multidisciplinary contexts; and prepare graduates for careers in tech industries, research, or further PhD studies.

Available Quota: 20 students
Tuition Fee (Balkan): €3000.00/year
Tuition Fee (International): €3000.00/year

Technical and Technological Sciences

Computer Engineering and Informatics

Data Processing

General Requirements
  • Candidates who have completed higher education, in accordance with Article 135, paragraph 3
  • Have achieved a minimum GPA of 7.00 from their previous higher education (first cycle studies)
  • Students should have valid test scores or pass the English proficiency exams organized by the IBU
  • Candidates who do not achieve a minimum score of 60/100 points need to attend the Preparatory School
  • Data Science Engineer
  • AI and machine learning engineering
  • Data Processing

Academic Staff

ibu_default

Coordinator

Ervin Domazet

ervin.domazet@ibu.edu.mk

Course Plan

First Year
DS 504
Machine Learning with Big Data
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Compulsory
Academic Year
Year 1
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DS 505
Advanced Data Mining Techniques
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Compulsory
Academic Year
Year 1
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DA 506
Bayesian statistics
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Compulsory
Academic Year
Year 1
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RМAW 590
Research methods and academic writing
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Compulsory
Academic Year
Year 1
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DS 509
Natural Language Processing
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Elective
Academic Year
Year 1
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CE 502
Database Systems
Semester Fall
Weekly Hours
2 + 1
ECTS Credits
5.0
Course Type
Elective
Academic Year
Year 1
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DS 599
Master thesis
Semester Spring
Weekly Hours
0 + 0
ECTS Credits
30.0
Course Type
Compulsory
Academic Year
Year 1
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Jobs

No Open Positions

There are currently no open job positions for this department. Please check back later.