The Columbia University Data Science program equips students with advanced techniques in data analysis, machine learning, and statistical modeling, enabling them to apply these skills across various disciplines and industry sectors. The curriculum emphasizes practical research, real-world projects, and collaboration with industry partners to prepare students for leadership roles in data science.
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The Columbia University Data Science program equips students with advanced techniques in data analysis, machine learning, and statistical modeling, enabling them to apply these skills across various disciplines and industry sectors. The curriculum emphasizes practical research, real-world projects, and collaboration with industry partners to prepare students for leadership roles in data science.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
100.0
Starting 2026-09-01
Apply before 2026-02-01
Sep-26
Courses include: Probability and statistics for data science Algorithms for data science Statistical inference and modelling Computer systems for data science Machine learning for data science Exploratory data analysis and visualization
Applicants must hold an undergraduate degree with a strong quantitative background, including coursework in calculus, linear algebra, and introductory programming. The application process requires an online submission of a personal statement, official transcripts from all post-secondary institutions, three recommendation letters, a curriculum vitae, and optional GRE scores for 2023 admissions. An $85 non-refundable application fee applies.
₹30,12,144/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
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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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