Master in Data Science

Yeditepe University in Istanbul, established in 1996, is a private institution that offers a broad portfolio of undergraduate and graduate programs across law, medicine, engineering, business and the arts. Hosting around 32,000 students including some 2,500 international students, the university provides a vibrant, multicultural campus experience in one of the world’s most historic and dynamic cities. Its scale and location make it suited to students who want academic breadth combined with urban opportunity.

The university emphasizes applied learning, research-informed teaching and industry engagement. Students benefit from modern facilities, professional faculty and practical training that supports employability in Turkey and abroad. International students are supported by dedicated services, language programs and orientation activities, while cross-cultural student life enriches classroom discussion and campus clubs.

Istanbul’s unique position between continents gives Yeditepe students access to diverse internships, cultural experiences and international networks. The campus fosters entrepreneurship, community engagement and mobility through partnerships with institutions worldwide. For prospective international students seeking a socially and academically engaging experience in a global city, Yeditepe offers a strong combination of support, opportunity and practical preparation.

The Master in Data Science at Yeditepe University is for students with a Bachelor's degree who want to learn about data analysis and science. This 1-2 year Master's degree is taught in English in Istanbul, Türkiye. It helps students learn how to work with data and make informed decisions.

The curriculum covers subjects like machine learning, programming, and statistics. Students develop skills in data analysis, problem-solving, and data visualization. The program includes hands-on components where students work on real-world projects and learn how to use data tools.

Graduates can work as Data Analysts, Data Scientists, Business Intelligence Developers, Quantitative Analysts, or Data Engineers. They can find jobs in finance, healthcare, or technology companies.