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

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Academic Staff

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

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