COURSE CURRICULUM

The Master of Science in Applied Statistics (MSAPST) is a long-established and highly regarded program that focuses on building strong quantitative and analytical skills needed for modern data-driven careers, and with over 40 years of history, it has developed a reputation for combining theoretical foundations with practical application in areas such as data analysis, predictive modeling, and statistical computing, making it suitable for students from diverse academic backgrounds, as it does not require a prior degree in business. The program is designed with flexibility in mind, allowing students to tailor their coursework based on career goals, whether they aim to enter industries like finance, healthcare, technology, or pursue further research, and the curriculum spans from core statistical principles to advanced applications in Data Science, ensuring graduates are well-prepared for real-world challenges. A key highlight of the program is its emphasis on experiential learning through collaboration with the Institute of Data and Analytics, where students gain hands-on experience in the Marillyn A. Hewson Data Analytics Lab, working with cutting-edge tools and engaging in interdisciplinary projects alongside faculty and peers, which significantly enhances practical skills and employability. Additionally, the program includes professional development components that help students build competencies in communication, problem-solving, and analytical thinking, all of which are critical in today’s competitive job market. As a STEM-designated program, it offers added advantages for international students, including eligibility for up to three years of Optional Practical Training (OPT) on an F-1 visa, providing valuable work experience in the United States after graduation. Overall, the MSAPST program effectively balances academic rigor, flexibility, and industry relevance, preparing graduates for high-demand roles such as data analysts, statisticians, business analysts, and research professionals.