The MPS in Data Science and Applied Statistics is a professional master’s program designed to build practical, job-ready skills in statistical modeling and data analysis. You’ll complete core coursework, advanced applied statistics training, and electives, with options that support careers across industry, government, and research.
The Master of Professional Studies (MPS) in Data Science and Applied Statistics at Cornell University is a professional master's program tailored to equip students with practical, job-ready skills in statistical modeling and data analysis. This program encompasses core coursework, advanced training in applied statistics, and elective courses that enhance career opportunities across various sectors, including industry, government, and research.
The MPS curriculum is structured to provide a comprehensive education in data science and applied statistics. Students begin with foundational courses in probability and inference, advancing to applied statistical modeling and computation. The program emphasizes the interpretation and implementation of statistical methods, preparing graduates for professional success.
Core coursework includes:
Elective coursework allows students to:
Capstone project: Students typically engage in an in-depth applied project aligned with the program’s professional focus, showcasing their practical skills and knowledge.
To be eligible for the MPS in Data Science and Applied Statistics, applicants must fulfill the following academic requirements:
International applicants must also demonstrate proficiency in English, typically through the TOEFL exam.
Graduates of the MPS in Data Science and Applied Statistics are well-prepared for careers in various fields, including data analysis, statistical consulting, research, and more. The program’s focus on applied learning and professional preparation ensures that students acquire the necessary skills to thrive in a competitive job market, making them valuable assets to employers across multiple sectors.
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