Master in Applied Statistics

Indiana University Bloomington, established in 1820, is the flagship campus of the Indiana University system and a dynamic choice for international students seeking a comprehensive research university experience. The campus combines a broad liberal arts tradition with professional programs across business, arts and sciences, education and health. With a large and active student population and thousands of international peers, IU Bloomington offers both the scale of major research activity and the close-knit campus culture that supports personal growth.

The university delivers a wide portfolio of programs—spanning hundreds of majors and minors—alongside around 575 distinct academic pathways, enabling students to tailor study plans to academic and career goals. Students benefit from research opportunities, practicum placements, industry partnerships and modern facilities that support innovation and experiential learning. Faculty are engaged researchers and mentors who guide classroom learning and hands-on projects that prepare graduates for competitive careers and further study.

Campus life in Bloomington is lively and inclusive, with student organizations, arts and cultural events, volunteer opportunities and strong career services to support internships and job placement. International students have access to advising, orientation, language support and global engagement programs that ease adjustment and build networks. Whether you plan to pursue graduate study, research or professional practice, IU Bloomington combines academic depth, community engagement and practical pathways to help you succeed.

The Master in Applied Statistics is a degree for students who want to work with data. It's a Master's program at Indiana University Bloomington that takes a few years to complete. You'll get to work on real projects and learn from experienced professors.

The curriculum covers subjects like statistical modeling and data analysis. You'll develop skills in programming languages like R or Python and learn to work with large datasets. The program also includes hands-on components where you'll apply statistical methods to solve real-world problems.

After graduating, you can work as a Data Analyst, Biostatistician, or Statistical Consultant. You might find jobs in industries like healthcare, finance, or government. Some possible employers include research institutions, pharmaceutical companies, or consulting firms.