Cornell University
MPS in Data Science & Applied Statistics
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
Budget-wise, $68.4K puts this master's program at the 84th percentile on cost — about 59% above the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree with a minimum GPA of 3.0, preferably in a quantitative field like mathematics, statistics, or computer science, along with prerequisites in calculus, linear algebra, and programming. GRE scores are optional, and international students need TOEFL/IELTS proficiency.
About This Program
Cornell's MPS in Data Science & Applied Statistics combines an Ivy League statistics tradition with applied, professional training. The program emphasizes statistical rigor alongside modern machine learning and data analysis methods.
Cornell's brand strength and its statistics and CS depth make this a strong choice for students who want a quantitatively rigorous data science credential from a top university.
Why students choose it: Ivy-grade statistical rigor paired with applied, professional data science training.
Career Outcomes
Graduates of Cornell University's MPS in Data Science & Applied Statistics most often target Data Scientist roles, where reported compensation runs around $120,000. Its focus on Machine Learning and Data Science & Analytics maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 35% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. Data Scientist
- 2. Applied Statistician
- 3. Machine Learning Engineer
- 4. Data Analyst
What You'll Learn
- Extract insights from large, messy datasets using statistical methods and programming.
- Build and evaluate machine learning models for predictive analytics.
- Apply data science techniques to real-world problems through capstone projects.
- Manage big data systems, databases, and scripting for scalable analysis.
Curriculum Highlights
The curriculum features a core in linear models and probability, specialized tracks in Statistical Analysis or Data Science, and a mandatory two-semester data analysis project.
Top Employers
Top employers include tech firms like Google, Amazon, and Microsoft, consulting companies such as McKinsey, and industries like finance and healthcare analytics.
Admissions
Admission to Cornell University's MPS in Data Science & Applied Statistics generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
What makes Cornell University's MPS in Data Science & Applied Statistics stand out?
This one-year professional program provides students with a solid foundation in theoretical statistics and practical data analysis through a real-world, large-scale data science project.
Can you complete the MPS in Data Science & Applied Statistics online through Cornell University?
This program is listed as on-campus, so plan for on-campus attendance. Cornell University may offer other online AI options — verify current formats before applying.
How much does the MPS in Data Science & Applied Statistics cost?
We estimate total tuition at roughly $68.4K, above the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with Cornell University.
Does the MPS in Data Science & Applied Statistics require the GRE?
No — Cornell University does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MPS in Data Science & Applied Statistics take to complete?
Most students finish in about 1 year for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MPS in Data Science & Applied Statistics?
Graduates commonly pursue roles such as Data Scientist, with reported pay around $120,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
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