The University of Southern California offers a Master of Science in Statistics through the Department of Mathematics. The program provides a rigorous mathematical foundation in statistical theory, including probability, with an emphasis on practical applications to real-world data and problems. It prepares students for careers in data analysis, research, and applied statistics across various industries.
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The University of Southern California offers a Master of Science in Statistics through the Department of Mathematics. The program provides a rigorous mathematical foundation in statistical theory, including probability, with an emphasis on practical applications to real-world data and problems. It prepares students for careers in data analysis, research, and applied statistics across various industries.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
6.5
Starting 2026-08-01
Apply before 2026-01-01
Aug-26
Courses include: Mathematical Statistics Seminar in Statistical Consulting Applied Probability Theory of Probability Analysis of Variance and Design Numerical Analysis and Computation
No academic requirements found.
Applicants must possess a strong mathematical background, including undergraduate coursework in analysis, probability, and statistics. A minimum GPA of 3.8 is recommended, along with excellent test scores. Prior coursework should include at least one course in undergraduate analysis, probability, and statistics. The program is taught at an advanced mathematical level, requiring applicants to demonstrate strong quantitative skills and academic excellence.
₹59,15,633/Year
Annual Fee
1 year
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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