Master in Applied Statistics (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 Applied Statistics Online at Rochester Institute of Technology is a master's degree for students who want to learn statistical analysis and apply it to various industries. This online program helps students develop skills in data analysis and lasts for 2 years.

The curriculum includes specific subjects like data mining, design of experiments, and health care applications. Students will also learn to apply statistics to imaging and industrial environments, developing skills to solve complex problems through engaging online courses.

Graduates can pursue careers as Data Analysts, Statisticians, or Operations Research Analysts in industries like insurance, marketing, or government. They can also work as Biostatisticians in health care or as Quality Control Specialists in industrial environments, applying their knowledge to real-world problems.