About Data Science, M.s. in New York Institute of Technology

The Data Science, M.S. is designed for students with a computer science or related background interested in pursuing data analytics, machine learning, visualization, and more. You'll learn how to employ data science concepts and methods to solve problems in business and scientific contexts and communicate these solutions effectively. You'll study computing theory, languages, and algorithms, and use mathematical and statistical models to formulate and implement data analyses and learn to apply them ethically.

Our practical curriculum incorporates case studies in advanced topics of computer architecture from classic and modern processors, including large-scale systems. You may also participate in sponsored research projects alongside faculty members from funding sources such as the Department of Defense.

Career Options

• Applications Architect

• Advanced Data Analyst
• Business Intelligence Developer
• Data Scientist
• Data Developer
• Data Engineer
• Infrastructure Architect
• Machine Learning Engineer
• Statistician

Degree or its equivalent from an accredited college or university.

English Language requirements

• IELTS score: 6.0.
• TOEFL (iBT) score: 79.
• Pearson PTE score: 53.
• Duolingo English Test score: 105.
• IB English Literature A HL (Higher Level): 4.
• IB English Language and Literature A HL (Higher Level): 4.

New York Institute of Technology Cost of Attendance

The following is a breakdown of expenses at NYIT in the form of an estimated budget for overseas students interested in studying in the United States.

• Tuition for undergraduate courses is 38,060 USD per year.
• Tuition for graduate courses costs roughly $1,400 per credit per year.
• For undergraduate and graduate studies, the annual room and board charge is around 4,900 USD (single), 5,800 USD (couple) (double)
• Fee for miscellaneous items: NA
• Over 42,960 USD (Undergraduate)/over 1,400 USD per credit hour +5,800 (or 4,900) USD (Graduate)