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.

Academic Staff

Course Plan

No. Code Name Semester Weekly Hours ECTS Year Type Syllabus
1 DS 501 Introduction to Data Science Fall 2 + 1 5.0 1 Elective
2 DS 502 Data Science in Python Fall 2 + 1 5.0 1 Elective
3 DS 507 Machine Learning and Deep Learning Fall 2 + 1 5.0 1 Elective
4 DS 508 Artificial Intelligence Fall 2 + 1 5.0 1 Elective
5 DS 509 Natural Language Processing Fall 2 + 1 5.0 1 Elective
6 DS 510 Pattern Recognition Fall 2 + 1 5.0 1 Elective
7 DS 511 Artificial Neural Networks Fall 2 + 1 5.0 1 Elective
8 DS 512 Web and Social Media Analytics Fall 2 + 1 5.0 1 Elective
9 IE 506 Advanced Project Management Fall 2 + 1 5.0 1 Elective
10 CE 502 Database Systems Fall 2 + 1 5.0 1 Elective
11 MATH 501 Probability Theory Fall 2 + 1 5.0 1 Elective
12 MATH 502 Random Processes Fall 2 + 1 5.0 1 Elective
13 MATH 503 Time Series Analysis Fall 2 + 1 5.0 1 Elective
14 MATH 504 Mathematics for Machine Learning Problems Fall 2 + 1 5.0 1 Elective
15 MATH 505 Principles of Game Theory Fall 2 + 1 5.0 1 Elective
16 MATH 506 Optimization Fall 2 + 1 5.0 1 Elective
17 EEE 501 Business Statistics Fall 2 + 1 5.0 1 Elective
18 EEE 502 Finance and Risk Analytics Fall 2 + 1 5.0 1 Elective
19 DS 503 Statistical Data Analysis Fall 2 + 1 5.0 1 Elective
20 DS 504 Machine Learning with Big Data Fall 2 + 1 5.0 1 Compulsory
21 DS 505 Advanced Data Mining Techniques Fall 2 + 1 5.0 1 Compulsory
22 DA 506 Bayesian statistics Fall 2 + 1 5.0 1 Compulsory
23 RМAW 590 Research methods and academic writing Fall 2 + 1 5.0 1 Compulsory
24 DS 599 Master thesis Spring 0 + 0 30.0 1 Compulsory
Course Name Semester Syllabus
First Year
Introduction to Data Science Fall
Loading syllabus...
Data Science in Python Fall
Loading syllabus...
Machine Learning and Deep Learning Fall
Loading syllabus...
Artificial Intelligence Fall
Loading syllabus...
Natural Language Processing Fall
Loading syllabus...
Pattern Recognition Fall
Loading syllabus...
Artificial Neural Networks Fall
Loading syllabus...
Web and Social Media Analytics Fall
Loading syllabus...
Advanced Project Management Fall
Loading syllabus...
Database Systems Fall
Loading syllabus...
Probability Theory Fall
Loading syllabus...
Random Processes Fall
Loading syllabus...
Time Series Analysis Fall
Loading syllabus...
Mathematics for Machine Learning Problems Fall
Loading syllabus...
Principles of Game Theory Fall
Loading syllabus...
Optimization Fall
Loading syllabus...
Business Statistics Fall
Loading syllabus...
Finance and Risk Analytics Fall
Loading syllabus...
Statistical Data Analysis Fall
Loading syllabus...
Machine Learning with Big Data Fall
Loading syllabus...
Advanced Data Mining Techniques Fall
Loading syllabus...
Bayesian statistics Fall
Loading syllabus...
Research methods and academic writing Fall
Loading syllabus...
Master thesis Spring
Loading syllabus...

Connect with us!

IBU Campus Skopje

Makedonsko-Kosovska Brigada 9 br.29 Skopje - Cair,
Skopje/North Macedonia

+389 2 55 15 000
+389 2 26 00 004
+389 2 55 14 888 (for students)
info@ibu.edu.mk

rectorate_vector

Istanbul Office

Mevlana Caddesi, Tercuman Sitesi, A7 Blok
Daire 18, 34015 Cevizlibag-Zeytinburnu/Istanbul

+90 212 706 66 57
+90 532 453 14 28
0 850 242 242 8
istanbul@ibu.edu.mk

Makedonsko-Kosovska Brigada 9 br.29 Skopje - Cair,
Skopje/North Macedonia

+389 2 55 15 000 +389 2 26 00 004 +389 2 55 14 888 (for students) info@ibu.edu.mk

International Balkan University is foundation - owned, not-for-profit higher education institution.

International Balkan University © 2025 / All Rights Reserved. Developed by Hello! Office