Top 10 Master’s Programs for AI

Artificial intelligence (AI) is a rapidly evolving and evolving field, and data scientists with AI skills are in high demand. The field requires extensive training, including principles of computer science, cognitive psychology and engineering. If you want to develop your career as a data scientist and take advantage of the search for the role, you may want to consider pursuing an AI degree.

US News & World Report ranked the best AI graduation programs in computer science schools based on surveys sent to academics in the fall of 2021 and early 2022.

Here are the top 10 programs on the list of the best AI programs in the United States.

1. Carnegie Mellon University

IN Department of Machine Learning, Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), which itself was established in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning. CALD draws from the statistical department and the departments of the School of Computer Science, as well as from the professors of philosophy, engineering, business school and biological sciences.

Carnegie Mellon says the department’s research strategy is to maintain a balance between research in the medical statistical-computational theory of machine learning and research inventing new algorithms and new formulations of problems related to practical applications.

The Machine Learning Department offers both doctoral and master’s programs in machine learning, including:

• Machine Learning (ML) PhD
• Doctor of Statistics and Machine Learning (offered jointly with the Statistical Department)
• Doctor of Machine Learning and Public Policy (available in collaboration with Heinz College of Public Policy, Information Systems and Management)
• Doctor of Neural Computing and Machine Learning (proposed jointly with the Institute of Neuroscience)
• Basic master’s degree in machine learning
• 5th year Master’s degree in machine learning (one-year program for current students from CMU)
• Intermediate Master’s Degree in Machine Learning (for current PhD students, lecturers or CMU employees)

2. Massachusetts Institute of Technology (MIT)

IN Department of Electrical Engineering and Computer Science, MIT (EECS) is the largest academic department at MIT. A joint venture with MIT, Schwarzman College of Computing offers three overlapping divisions in Electrical Engineering (EE), Computer Science (CS) and Artificial Intelligence and Decision Making (AI + D).

The Massachusetts Institute of Technology says AI + D research explores the basics of machine learning and decision-making systems (AI, reinforced learning, statistics, causation, systems and control), the building blocks of embodied intelligence, computer vision, NLP, robotics), applications for real-world autonomous systems, life sciences and the interface between data-driven decision-making and society.

EECS diploma programs include:

• Master of Science (MS) required of students pursuing a doctorate
• Master of Engineering (MEng), for students from MIT EECS
• Electrical Engineer (EE) / Computer Science Engineer (ECS)
• Doctor of Philosophy (PhD) / Doctor of Science (ScD), awarded interchangeably

3. Stanford University

The Department of Computer Science at Stanford University is part of Engineering school. The Stanford AI Lab (SAIL) was founded in 1962 as a center of excellence for AI research, teaching, theory and practice. In addition to its personal programs, Stanford Online offers Diploma program in artificial intelligence entirely online. The AI ​​program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probability models, and machine learning.

Stanford offers both PhD students and MSCS specializing in artificial intelligence.

4. University of California – Berkeley

IN Department of Electrical Engineering and Computer Science, University of California, Berkeley focuses its basic research on key areas of in-depth learning, knowledge presentation, reasoning, learning, planning, decision making, vision, robotics, speech and NLP. Efforts are also being made to apply algorithmic advances to applied problems in a number of areas, including bioinformatics, networks and systems, information retrieval and retrieval. She is closely associated with the Berkeley Artificial Intelligence Research Laboratory (BAIR).

Berkeley offers both doctoral and master’s programs.

5. Cornell University (equality)

Cornell Bowers CIS College of Computing and Information Science builds its AI group from the 90s of last century. In December 2021, she launched a new initiative, a new radical cooperation, exhibited by scholars from across the university to enhance its reputation as a leader in AI research, education and ethics. The initiative expands the teaching staff working in key areas and other areas affected by the progress of AI. Recent interdisciplinary collaborations at Ithaca Campus, Cornell Tech, and Weill Cornell Medicine apply AI to issues ranging from sustainable agriculture and urban design to cancer detection, autonomous vehicle improvement, and quantum matter analysis.

Cornell offers a master’s program in computer science, as well as a master’s program in computer science and a doctoral program.

5. Georgia Institute of Technology (Equality)

Georgia College of Computer Science says that AI and machine learning are a major part of his teaching and research interests, including building top-down and bottom-up models of intelligence at the human level; building systems that can provide intelligent learning; creation of adaptive and intelligent entertainment systems; creating systems that understand their own behavior; and building autonomous agents that can adapt to a dynamic environment.

Different groups in the school emphasize different areas of study. The main faculty comes from the School of Interactive Computing, but there is also a faculty of machine learning in the schools of computer science and computer science and engineering.

Georgia Tech offers both master’s and doctoral programs, including a doctorate in machine learning.

5. University of Washington (Equality)

University of Washington Paul G. Allen School of Computer Science and Engineering offers an AI group that studies the computational mechanisms underlying intelligent behavior. Research areas include machine learning, NLP, probabilistic reasoning, automated planning, machine reading, and intelligent user interfaces. He works closely with the Allen Institute for Artificial Intelligence (AI2).

The University of Washington offers a combined Bachelor of Science (BS) / Master of Science (MS) program designed with industry students in mind, a full-time doctoral program, a professional master’s program (part-time, evening program) and a postdoctoral program. research program.

8. University of Illinois – Urbana-Champaign

University of Illinois – Urbana-Champaign Granger College of Engineering focuses its artificial intelligence and machine learning program on computer vision, machine listening, NLP and machine learning. In the field of computer vision, the teachers from the group for artificial intelligence are developing new approaches for understanding 2D and 3D scenes from still images and video, training in low frames and more. The Faculty of Machine Listening works on the understanding of sound and speech, the separation of sources and applications in music and computers. The Faculty of Machine Learning studies the theoretical foundations of in-depth and reinforcing learning; development of new models and algorithms for deep neural networks, unified and distributed training; and examining issues related to the scalability, security, confidentiality and equity of training systems.

The university offers a CS doctoral program, a CS MS program, a professional master’s program in computer science and a fifth-year master’s program.

9. University of Michigan – Ann Arbor

The Department of Computer Science and Engineering at the University of Michigan offers an artificial intelligence program consisting of multidisciplinary researchers studying rational decision making, distributed multi-agent systems, machine learning, enhanced learning, cognitive modeling, game theory, NLP, machine perception, healthcare calculations and robotics.

The university says research in the artificial intelligence lab is highly interdisciplinary, based on ideas from computer science, linguistics, psychology, economics, biology, control, statistics and philosophy.

The University of Michigan offers a doctorate in CSE, a master’s degree in CSE and a master’s degree in data science.

10. University of Texas – Austin

The University of Texas at Austin’s Department of Computer Science focuses on computer vision, evolutionary computing, machine learning, multimodality, NLP, neural networks, enhanced learning, and robotics. It has hosted countless research centers and laboratories, including the Artificial Intelligence Laboratory, which opened in 1983 and explores the central challenges of machine knowledge, including machine learning, knowledge representation and reasoning. Some others include the Institute for the Fundamentals of Machine Learning, the Machine Learning Laboratory, the Machine Learning Research Group, and the Neural Network Research Group.

The University of Texas offers a doctoral program, a master’s program, an online master’s program in computer science, an online master’s program in data science, and five-year BS / MS programs.