Programme objectives
The Data Science Non-Thesis Master's Programme aims to train well-equipped data scientists and analysts with theoretical and practical skills in big data, machine learning, data mining and statistical modelling, who can generate strategic value from complex datasets and guide digital transformation in business.
Programme highlights
- Broad employment and career opportunities: Build strong career and employment opportunities in diverse fields by acquiring the professional skills needed in continually developing sectors.
- Flexible digital learning: Access course materials and learning content whenever you need them through distance education infrastructure and advanced digital platforms.
- Modern, innovative education: Acquire up-to-date, innovative knowledge that meets the needs of rapidly changing and growing sectors in the 21st century.
- Expert academic staff: Take part in an interactive, high-quality learning experience guided by expert faculty members.
Examinations
Midterm examinations in master’s programmes use alternative online assessment methods such as assignments, projects and portfolios. Final and resit examinations are held in person at our university.
Graduation requirements
To complete the coursework stage, non-thesis master’s students must obtain at least 65, the minimum passing grade, in every course. Graduation also requires completion of the project or thesis work.
Additional information
- The language of instruction is Turkish.
- To graduate, students prepare a Master’s Project in addition to their normal course load.
- An ALES score is not required.