Master in Applied Statistics, M.S.

The University of North Carolina at Greensboro (UNCG), founded in 1891, is a comprehensive public university known for its welcoming campus and emphasis on student success. With around 19,038 students and over 300 academic programs, UNCG offers a broad range of undergraduate and graduate degrees across arts, sciences, business, education, and health sciences. The university’s commitment to inclusive teaching, experiential learning, and community engagement makes it an appealing option for international students seeking a supportive academic environment in the United States.

UNCG blends classroom learning with research, internships, and community projects, providing practical experience that complements academic study. Faculty mentors and advising centers help students navigate program choices and career pathways, while robust graduate programs and research initiatives give advanced students opportunities for scholarly development. The diversity of programs allows students to tailor their education and build interdisciplinary skill sets valued by employers and graduate schools.

Campus life at UNCG features active student organizations, cultural events, and comprehensive student services that foster social integration and personal development. International students receive assistance with orientation, immigration paperwork, and academic support to ensure a smooth transition. With strong career services and local industry connections, UNCG prepares graduates for meaningful careers and civic engagement, offering a balanced and student-focused university experience.

The Master in Applied Statistics, M.S. is a one-year program for international students who hold a Bachelor's degree. It's offered at The University of North Carolina at Greensboro and taught in English. The program helps students develop strong statistical skills.

The curriculum includes subjects like data analysis, statistical modeling, and research methods. Students will develop skills in data visualization, programming languages like R or Python, and statistical software. They'll also work on hands-on projects to apply their knowledge to real-world problems.

Graduates can pursue careers as Biostatisticians, Data Analysts, Statistical Consultants, or Research Assistants. They can work in various industries, including healthcare, finance, or government, and employers like pharmaceutical companies, hospitals, or research institutions.