Master of Science in Data Science and Analytics

FAU’s “University of Distinction” plan for applied artificial intelligence (AI) and big data analytics was officially approved by the Florida Board of Governors, which oversees the State University System. The College of Science is launching the Master of Science (M.S.) in Data Science and Analytics via the Scientific Inquiry degree program. The concentration is housed in the Department of Mathematical Sciences in the Charles E. Schmidt College of Science. Students will emerge from the program with a broad understanding of data challenges and opportunities, along with the research and inquiry skills necessary to conduct independent research and answer questions within their area of specialization. Graduates will be well prepared with rich hands-on experience and data analytics skills to enter the high demand workforce in the era of big data and quantum information processing under exciting roles such as Data Curator, Data Analyst, Statistician, Data Scientist, Market Analyst, Software Engineer, and others.

The College of Science Machine Perception and Cognitive Robotics Lab will soon be opening the Rubin and Cindy Gruber Sandbox, a 3,400 square foot tech resource center designed to cater to students from across the University where one can directly engage with the fast-advancing field of artificial intelligence. The college's AI effort will be bolstered by its strengths in quantum information science, including the Quantum Lab as well as the FAU's Center for Cryptology and Information Security, designated a National Center of Academic Excellence in Information Assurance/Cyber Defense Research. 

M.S. Data Science and Analytics Degree Requirements 

Visit the University Catalog to review core requirements for the Data Science via Scientific Inquiry Concentration.

Admission Requirements

To the Department of Mathematical Sciences Graduate Director:

  1. Have your two letters of recommendation sent from the recommenders to (preferred method), or by postal mail to the address listed below.
  2. Send unofficial copies of all transcripts by fax, scan-and-email, or mail.
  3. Send a CV and a short statement of purpose (1/2 - 1 page) by email, fax, or mail.
  4. All applicants must download and fill out our departmental application (pdf) and email the completed form to   

Please email or mail items listed above (2, 3, and 4) all-together in either one email or one envelope to the postal mailing address listed below.


Faculty Team


Vincent Naudot, Ph.D.
Faculty Team Liaison 
Charles E. Schmidt College of Science
Science Building (SE-43), Room 278
Boca Raton Campus Map
561-297-1339 | | Program Sheet








Lun-Ching Chang, Ph.D.
Assistant Professor

William Hahn, Ph.D.
Assistant Professor

William Kalies, Ph.D.
Associate Dean for Graduate Studies

Hongwei Long, Ph.D.

Francis Motta, Ph.D.
Assistant Professor

Dragan Radulovic, Ph.D.