Program Description

Program Objectives

Qualification Awarded

The Master 's Degree in Data Science (second cycle in Data Science) is awarded to the graduates who have successfully completed all courses in the curriculum.
 

Level of Qualification

Second Cycle
 

Specific Admission Requirements

The general requirements explained in “Quotas and Admissions” of Instruction Letter For Sabancı Unıversity Graduate Programs for admission of students.
 

Qualification Requirements and Regulations

Students must obtain a grade point average of at least 3.00 out of 4.00 and successfully pass all courses on the programme.
 

Recognition of Prior Learning

"Exemptness from the courses which are included in transfer and student exchange programs are regulated by the related articles in Information on the Instruction Letter For Sabancı Unıversity Graduate. At Sabancı University, apart from formal education institutions, there is no recognition process for informal-based or experience-based (in-formal and non-formal) learning."
 

Program Outcomes

National Qualifications Matrix

Occupational Profiles of Graduates

Access to Further Studies

The general requirements explained in “Quotas and Admissions” of Information on the Instruction Letter For Sabancı Unıversity Graduate Programs for acceptance of the students to be taken to the graduate programs.
 

Exam Regulations and Assessment & Grading

The evaluation and grading of each course is included in “Examinations & Academic Assessment and Grades” of Information on the Instruction Letter For Sabancı Unıversity Graduate for admission of students.
 

Graduation Requirements

Graduation requirements are explained in the Instruction Letter For Sabancı Unıversity Graduate for admission of students.
 

Mode of Study

Full-Time

Program Coordinator

Öznur Taştan - oznur.tastan@sabanciuniv.edu