MSc:Syllabi Tabledraft Final

Overview of the MS Program

The detailed description of the program can be found here.

MS1-S1
Subject	DS	R	SNE	SE	ITE	Instructor(s)
CSE329 — Empirical Methods (Moodle)	Yes			Yes		Giancarlo Succi
CSE335 — High-Dimensional Data Analysis (Moodle)	Yes					Yaroslav Kholodov
CSE328 — Machine Learning (Moodle)	Yes					Adil Khan
CSE132 — Software Design with Python (Moodle)	Yes	Yes				Evgeni Zouev
[Research methodology for Data Science & Robotics]	Yes	Yes
Hum Elective (SNE - 1, DS - 1)	Yes		Yes
CSE132 — Software Design with Python (Moodle)	Yes	Yes				Evgeni Zouev
[Research methodology for Data Science & Robotics]	Yes	Yes
CSE425 — Sensing, Perception And Actuation (Moodle)		Yes				Kirill Poletkin
CSE424 — Fundamental of Robot Control (Moodle)		Yes				Igor Gaponov
CSE426 — Dynamics Of Non-Linear Robotic Systems (Moodle)		Yes				Alexander Klimchik
CSE519 — Advanced Networking (Moodle) -> Essential Skills]			Yes			Anna Melekhova
CSE517 — Classical Internet Applications (Moodle)			Yes			Paolo Ciancarini
Security of systems and networks			Yes
Internetworking and routing			Yes			Shynnazar Seytnazarov
CSE820 — Managing Software Development(Moodle)				Yes		Andrey Sadovykh
CSE821 — Requirements Engineering (Moodle)				Yes		Manuel Mazzara
It Product Development				Yes	Yes	Nursultan Askarbekuly
[IT business start]					Yes	Tatiana Bobrus
No-code development					Yes
[Unit Economics in IT business]					Yes	Alena Protasova
Tech Elective (ITE - 1)					Yes
MS1-S2
Subject	DS	R	SNE	SE	ITE	Instructor(s)
CSE331 — Advanced Statistics (Moodle)	Yes
CSE332 — Advanced Machine Learning (Moodle)	Yes					Witold Pedrycz
CSE334 — Advanced Information Retrieval (Moodle)	Yes					Stanislav Protasov
CSE330 — Big Data Technologies And Analytics (Moodle)	Yes					Andrea Calì
HSS501 — Systematic Literature Review for Data Science & Robotics	Yes	Yes				Mirko Farina