Best Universities to Pursue a Ph.D. in Machine Learning | Towards AI

Top Universities to Pursue a Ph.D. in Machine Learning in the US — 2019 (On-Campus)

For the past year, we have been researching about the best universities in the United States that offer a Ph.D. with a focus area in machine learning.

Stacy Stanford
Apr 20 · 5 min read

Last updated on September 6, 2019

Top Universities to Pursue a Ph.D. with a Focus Area in Machine Learning

Considering various factors such as the research areas, research focus, courses offered, duration of the program, location of the university, honors, awards, and job prospects, we came up with the best universities to help you in your choosing process. This article is most suited for individuals who’d like to pursue a Ph.D. with a focus on machine learning and need some guidance on their decision making.

Feel free to jump to the end if you are looking for only the names of the Universities.

Note: The universities mentioned below are in no particular order.

1. Carnegie Mellon University

Program Name: Ph.D. in Machine Learning
Research Ranking in Machine Learning: 1
Research Ranking in AI: 1
Duration: 4–5+ years
Location: Pittsburgh, Pennsylvania
Core courses: Advanced machine learning, statistics, research, statistical machine learning, data analysis, artificial intelligence.
Tracks available: Ph.D. in Machine Learning, Ph.D. in Statistics and Machine Learning, Ph.D. in Machine Learning and Public Policy, Ph.D. in Neural Computation and Machine Learning, Ph.D. in Computer Science, etc.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, robotics, deep learning, data mining, web and information retrieval, etc.
Further information: Contact the Machine Learning Department at CMU.

2. University of California — Berkeley

Program Name: Ph.D. in EECS
Research Ranking in Machine Learning: 2
Research Ranking in AI: 12
Duration: 5–6+ years
Location: Berkeley, California
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: Ph.D. in EECS.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact EECS at UC Berkeley.

3. Stanford University

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 3
Research Ranking in AI: 3
Duration: 4–6+ years
Location: Stanford, California
Core courses: Mathematical and theory foundations, computer systems, applications, research, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact Stanford Engineering.

4. Massachusetts Institute of Technology

Program Name: Ph.D. in EECS
Research Ranking in Machine Learning: 4
Research Ranking in AI: 5
Duration: 4–6+ years
Location: Cambridge, Massachusetts
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact MIT EECS.

5. Cornell University

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 5
Research Ranking in AI: 2
Duration: 4–6+ years
Location: Ithaca, New York
Core courses: Mathematical and theory foundations, computer systems, applications, research, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact Cornell Engineering.

6. Georgia Institute of Technology

Program Name: Ph.D. in Machine Learning
Research Ranking in Machine Learning: 6
Research Ranking in AI: 4
Course Duration: 4–6+ years
Location: Atlanta, Georgia
Core courses: Advanced machine learning, statistics, research, statistical machine learning, data analysis, artificial intelligence.
Tracks available: Ph.D. in Machine Learning, Ph.D. in Algorithms, Combinatorics, and Optimization, Ph.D. in Computer Science, Ph.D. in Computer Science and Engineering.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact Georgia Tech.

7. University of California — Los Angeles

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 7
Research Ranking in AI: 7
Duration: 5–6+ years
Location: Los Angeles, California
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: Ph.D. in EECS.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact UCLA.

8. University of Texas Austin

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 8
Research Ranking in AI: 16
Course Duration: 4–6+ years
Location: Austin, Texas
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact the University of Texas — Austin.

9. Columbia University

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 10
Research Ranking in AI: 12
Duration: 4–6+ years
Location: New York City, New York
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, data mining, web and information retrieval, etc.
Further information: Contact Columbia University.

10. Princeton University

Program Name: Ph.D. in Computer Science
Research Ranking in Machine Learning: 17
Research Ranking in AI: 47
Course Duration: 4–6+ years
Location: Princeton, New Jersey
Core courses: Computer architecture and logic design, computer science, high-level mathematics, electrical engineering basis, artificial intelligence.
Tracks available: PhD in Computer Science.
Focus areas: Machine learning, artificial intelligence, NLP, computer vision, deep learning, etc.
Further information: Contact Princeton.

To summarize, we have listed the top universities for a Ph.D. with a focus area in machine learning below:

  1. Carnegie Mellon University

2. University of California — Berkeley

3. Stanford University

4. Massachusetts Institute of Technology

5. Cornell University

6. Georgia Institute of Technology

7. The University of Texas at Austin

8. University of California — Los Angeles

9. Columbia University

10. Princeton University

If you see anything inaccurate or that may need revisited please email me: sstanford@mlmemoirs.xyz.

References

US News & World Report, College Rankings, https://www.usnews.com/best-colleges

CSRankings: Computer Science Rankings, Machine Learning & Data Mining, http://csrankings.org/#/index?mlmining

CSRankings: Computer Science Rankings, Artificial Intelligence, http://csrankings.org/#/index?ai

US News & World Report, Best Graduate Schools, Top Science Schools, AI Rankings, https://www.usnews.com/best-graduate-schools/top-science-schools/computer-science-rankings

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Stacy Stanford

Written by

News & Technology Editor, writing on AI, machine learning, startups, technology, and the web | Editor @towards_AI

Towards AI

Towards AI, is the world’s fastest-growing AI community for learning, programming, building and implementing AI.

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