SEDS MS Curriculum

Required Background

Introduction to Discrete Mathematics or Numerical Methods or Statistics
Programming or Algorithms or Data Structures
Introduction to Management or Economics

Core Courses

Course Code	Course Name	Prerequisite(s)
SEDS 500	Graduation Project
SEDS 501	Introduction to Data Science
SEDS 502	Contemporary Database Management Systems
SEDS 504	Software Construction
SEDS 505	Team Project
SEDS 590	Graduate Seminar and Ethics

If some of these courses have already been taken before, students will be exempt from the must course requirement for each taken course. They must instead choose from track/elective courses.

Software Engineering Track Elective Courses

Course Code	Course Name	Prerequisite(s)
SEDS 512	Software Architectures
SEDS 513	Principles of Human Computer Interaction
SEDS 514	Software Testing
SEDS 515	Software Management
SEDS 517	Information Security
SEDS 518	Development of Real-Time Software
SEDS 519	Software Design Patterns
SEDS 520	Analysis and Design of Microservice Based Systems

Data Science Track Elective Courses

Course Code	Course Name	Prerequisite(s)
SEDS 531	Introduction to Statistical Data Processing
SEDS 533	Probabilistic Reasoning
SEDS 534	Optimization Methods
SEDS 535	Knowledge Discovery
SEDS 536	Image Understanding
SEDS 537	Machine Learning
SEDS 538	Big Data Analytics
SEDS 539	Deep Learning
SEDS 540	Distributed Information Management
SEDS 541	Privacy Preserving Data Sharing and Management
SEDS 542	Large-Scale Data Management

Students must select one of the two tracks and minimum 3 courses must be taken within the selected track and 6 track/elective courses in total.

Elective Courses

Course Code	Course Name	Prerequisite(s)
SEDS 561	Fundamentals of Software Engineering
SEDS 562	Programming and Data Structures

Courses from other secondary education programmes of İYTE can be taken upon the approval of the advisor.

Deficiency Program

Course Code	Course Name	Prerequisite(s)
SEDS 481	Software Engineering and Data Science Primer I
SEDS 482	Software Engineering and Data Science Primer II

Deficiency program is applied to the students who do not have the required background upon the decision of admission jury. The maximum duration for the deficiency program is 2 semesters. Students can also take track/elective/core courses during the deficiency program.

These courses are offered in the semesters when the related faculty members and minimum number of students are available.