Cornell University

USA
3 Scholarships 77 Programs 3 Degree levels
Masters

Data Science and Applied Statistics

Offered at Cornell University, USA
DegreeMasters
FieldMPS DS & Applied Stats
Duration1 year
Tuition$71,266
A

Cost & earnings at Cornell University What students borrow here, and what they go on to earn

You borrow $14,000 median federal debt
You repay $159/mo over 10 years
Graduates earn $104,043 10 yrs after entry
Debt clears in 0.2 yrs of the salary premium
US Department of Education figures See the full breakdown →

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.

Overview

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.

What you'll study

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:

  • Probability Models and Inference
  • Linear Models with Matrices
  • Survival Analysis
  • Tutorial in Actuarial Statistics
  • Statistical Principles
  • Applied Statistical Computation with SAS

Elective coursework allows students to:

  • Broaden their skills in areas relevant to data science and applied analytics.

Capstone project: Students typically engage in an in-depth applied project aligned with the program’s professional focus, showcasing their practical skills and knowledge.

Entry requirements

To be eligible for the MPS in Data Science and Applied Statistics, applicants must fulfill the following academic requirements:

  • Degree: A bachelor's degree is mandatory and must be completed prior to enrollment.
  • Preferred academic background: A quantitatively oriented undergraduate degree in fields such as statistics, mathematics, engineering, physical sciences, computer science, or related areas is preferred.
  • Minimum mathematical background includes:
    • Two semesters of calculus
    • One elementary non-calculus based statistics course
    • One course in matrix algebra
  • GRE: Submission of official GRE scores is required.

International applicants must also demonstrate proficiency in English, typically through the TOEFL exam.

Career prospects

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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Programme details are indicative and may change — always verify current information with the official university website before applying.