Data Analytics

Master’s · Engineering and Natural Sciences

Program Type:
Without thesis / With thesis
Campus:
Gayrettepe Campus (Turkish-taught program) – Mahmutbey Campus (English-taught program)
Language of Instruction:
Turkish / English
Class Schedule:
Classes are held on weekdays between 19:00 and 22:00.

About the Program

Data analysis is the process of deriving meaningful information from datasets, an activity of great importance in today's digital world. The program's main aim is to teach students the tools and techniques used in data analysis, enable them to apply these to real-world problems and train qualified data analytics specialists to meet industry needs. Data-driven businesses are increasing demand for data analytics specialists in marketing, finance, healthcare, energy, retail and many other sectors. Graduates develop the ability to analyse large datasets, identify trends, build predictive models and provide data-driven recommendations for strategic business decisions. The Data Analytics master's program offers an engaging educational opportunity, providing the skills and knowledge needed in a data-driven business world.

Program: The Data Analytics master's program offers thesis and non-thesis (project-based) options. The thesis option requires seven courses, one seminar course, one orientation course and one thesis. The non-thesis option requires ten courses, one orientation course and one project assignment.

ADMISSIONS

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Check the admissions guide for prior degree, examination and language requirements, and the academic calendar for the relevant semester's dates.

Application requirements and documentsMaster's and doctoral application guideAcademic calendarApplication and enrolment datesApplication results and announcementsCurrent program-specific information

Course structure and content

Turkish · Without thesisAUECTS ↗Turkish · With thesisAUECTS ↗English · With thesisAUECTS ↗English · Without thesisAUECTS ↗

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