NY

Master's in DS/DA
On-Campus

Cornell University

MPS in Data Science and Applied Statistics

  • Ithaca
About This Program

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.

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What You'll Learn

Students gain proficiency in statistical software, database management, and high-performance computing while mastering techniques in regression modeling, data mining, and machine learning.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
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.
Typical Course Topics
1. Applied Regression Models 2. Statistical Consulting 3. Data Analytics and Visualization 4. Machine Learning Methods 5. Database Systems and SQL 6. Big Data Analytics
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants need a bachelor's degree with a minimum GPA of 3.0, preferably in a quantitative field like statistics, math, or computer science, along with prerequisites in calculus, linear algebra, and programming.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as Data Scientist in Cross-Industry AI with database management expertise

Estimated Industry Salary
Data Scientist: $120,000
Total compensation (entry to mid-level)
AI Job Growth
35.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Data Scientist 2. Applied Statistician 3. Data Analyst 4. Machine Learning Engineer
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Amazon, and Microsoft, as well as finance companies, consulting firms, and research organizations.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 71,370
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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