The MS in Statistics and Machine Learning at Claremont Graduate University (CGU) equips students with advanced skills in statistical analysis, machine learning techniques, and data science applications. The program emphasizes practical experience through faculty-led projects, independent research, and collaboration with industry and government clients, preparing graduates for diverse career opportunities in data-driven fields.
Not enough reviews to generate pros and cons
The MS in Statistics and Machine Learning at Claremont Graduate University (CGU) equips students with advanced skills in statistical analysis, machine learning techniques, and data science applications. The program emphasizes practical experience through faculty-led projects, independent research, and collaboration with industry and government clients, preparing graduates for diverse career opportunities in data-driven fields.
Not Available in Not Available
400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
95.0
Starting 2026-01-01
Apply before 2125-04-18
Starting 2025-08-01
Apply before 2125-04-18
Jul-25
Courses include:StatisticsMachine LearningApplied StatisticsProbabilityStochastic ProcessesTime Series Data Analysis
No academic requirements found.
Applicants must hold a BA/BS degree in mathematics, statistics, or a related field, demonstrating adequate undergraduate training in relevant quantitative disciplines. The application process requires an online submission with an $80 fee, official transcripts from all post-secondary institutions, a comprehensive resume, a 2-3 page statement of purpose, and two letters of recommendation. Additional prerequisites include meeting CGU's general admission standards and demonstrating proficiency in mathematics and computing.
₹1,79,315/Year
Annual Fee
2 years
Total Duration
No Living costs available.
No University Scholarships Available
N/A
Amount
1250 USD
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
Various benefits
Deadline
Not specified
N/A
Amount
2000 USD
Deadline
15 Apr 2025
N/A
Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
No news articles found