MSc:Syllabi Table

Overview of the MS Program

MSc The detailed description of the program can be found here.

Year 1, Fall Semester
	DS	R	SNE	MSIT-SE
Empirical Methods	Yes	No	No	Yes
Managing Software Development	No	No	No	Yes
Machine Learning	Yes	Yes	No	No
Requirements Engineering	No	No	No	Yes
Big Data Technologies And Analytics	Yes	No	No	No
Advanced Networking	No	No	Yes	No
Design with Python	Yes	Yes	No	No
Classical Internet Applications	No	No	Yes	No
Security of Systems and Networks	No	No	Yes	No
Internetworking And Routing	No	No	Yes	No
Research Project (SNE)	No	No	Yes	No
Sensing, Perception And Actuation	No	Yes	No	No
Fundamental of Robot Control	No	Yes	No	No
Dynamics Of Non-Linear Robotic Systems	No	Yes	No	No
Personal Software Process	No	No	No	Yes
Humanitarian Elective 1	Yes	No	Yes	No
Year 1, Spring Semester
	DS	R	SNE	MSIT-SE
Advanced Statistics	Yes	No	No	No
Advanced Machine Learning	Yes	No	No	No
Advanced Information Retrieval	Yes	No	No	No
Large Systems	No	No	Yes	No
Cybercrime And Forensics	No	No	Yes	No
Offensive Technologies	No	No	Yes	No
High-Dimensional Data Analysis	Yes	No	No	No
Advanced Security	No	No	Yes	No
Industrial Project (SNE)	No	No	Yes	No
Computer Vision	No	Yes	No	No
Computational Intelligence	No	Yes	No	No
Advanced Robotics	No	Yes	No	No
Project (R)	No	Yes	No	No
Models of Software Systems	No	No	No	Yes
Analysis of Software Artifacts	No	No	No	Yes
Architectures of Software Systems	No	No	No	Yes
Communication	No	No	No	Yes
Ind. project 1 (MSIT-SE)	No	No	No	Yes
Systematic Literature Review for Data Science & Robotics	Yes	Yes	No	No
Humanitarian Elective 2	No	No	Yes	No
Technical Elective 1	No	No	No	No
Year 2, Fall Semester
	DS	R	SNE	MSIT-SE
Machine Learning	No	No	Yes	Yes
Optimization	Yes	Yes	No	No
Managing Software Development	Yes	No	No	No
Master Practicum Project	Yes	Yes	No	No
Technical Elective 4	Yes	Yes	Yes	Yes
Technical Elective 5	No	No	Yes	Yes
Humanitarian Elective 3	No	Yes	No	No
Year 2, Spring Semester
	DS	R	SNE	MSIT-SE
Master Practicum Project	Yes	Yes	No	No
Thesis Final Defense	Yes	Yes	Yes	Yes
High-Dimensional Data Analysis	Yes	No	No	No
Technical Elective 6	No	Yes	Yes	Yes
Technical Elective 7	No	No	No	Yes
Humanitarian Elective 3	Yes	Yes	Yes	No