Master in Data Science (Online)

The Rochester Institute of Technology, a private university in Rochester, New York, offers international students a unique blend of academic excellence and practical experience. You'll benefit from its strong industry connections, cooperative education opportunities, and commitment to preparing students for successful careers. As one of the oldest institutions in the US, founded in 1829, RIT has a rich history of innovation and excellence.

RIT specializes in programs covering engineering, business, art, design, and other disciplines, with 266 programs available. Specifically, you can explore departments like engineering, business, and medicine. English is the primary language of instruction, providing you with a great opportunity to improve your language skills.

As a student at RIT, you'll be part of a diverse community of 19,000 students, including 2,400 international students. You'll have access to modern facilities, cutting-edge research centers, and a range of activities on campus. Rochester itself offers a unique blend of urban and natural environments, with opportunities to explore the city's cultural scene, outdoor activities, and nearby attractions, making it an exciting place to live and study.

The Master in Data Science is a 2-year online program for professionals seeking to enhance their skills in analytics and computing. This master's degree is offered by the Rochester Institute of Technology and is taught in English.

The curriculum covers managing large-scale data sets, including theoretical and practical skills to handle data management and analysis challenges. The program offers opportunities for customized coursework within the broad field of data science and its various application areas.

Graduates can pursue careers as Data Analysts, Data Scientists, Business Intelligence Developers, or Quantitative Analysts, working in industries such as finance, healthcare, or technology, and for employers like consulting firms, government agencies, or research institutions.