Dorothy F Schmidt College of Arts Letters Areas of Excellence
Primary of Scientific discipline in Data Scientific discipline and Analytics
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| Lun-Ching Chang, Ph.D. | William Hahn, Ph.D. | William Kalies, Ph.D. | Hongwei Long, Ph.D. | Francis Motta, Ph.D. | Dragan Radulovic, Ph.D. |
FAU'due south "University of Stardom" plan for practical artificial intelligence (AI) and large data analytics was officially approved past the Florida Board of Governors, which oversees the Land Academy System. The College of Science offers the Master of Science (Chiliad.S.) in Data Scientific discipline and Analytics via the Scientific Inquiry degree programme. The concentration is housed in the Department of Mathematical Sciences in the Charles Eastward. Schmidt College of Science. Students volition emerge from the program with a broad understanding of information challenges and opportunities, along with the inquiry and inquiry skills necessary to conduct independent inquiry and answer questions within their surface 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 breakthrough information processing under heady roles such equally Data Curator, Data Annotator, Statistician, Information Scientist, Market Analyst, Software Engineer, and others.
The Charles E. Schmidt College of Science Machine Perception and Cognitive Robotics Lab volition soon exist opening the Rubin and Cindy Gruber Sandbox, a iii,400 foursquare pes tech resource center designed to cater to students from across the Academy where ane can directly engage with the fast-advancing field of bogus intelligence. The college's AI effort volition be bolstered by its strengths in quantum information science, including the Quantum Lab as well as the FAU'southward Center for Cryptology and Information Security, designated a National Center of Bookish Excellence in Information Balls/Cyber Defense Research.
G.Southward. Data Scientific discipline and Analytics Degree Requirements
Visit the Academy Itemize to review core requirements for the Data Science via Scientific Inquiry Concentration.
The Master of Science in Data Science and Analytics (MS-DSA) is a multi-higher interdisciplinary programme, jointly administered by the Charles Eastward. Schmidt Higher of Scientific discipline, the College of Engineering science & Calculator Scientific discipline, the College of Business organisation, and the Dorothy F. Schmidt Higher of Arts & Messages. Information technology is designed to provide students with interests in Data Science and Data Analytics a unique and multifaceted educational opportunity inside and across each of its areas of concentration. To allow for maximum flexibility in career aspirations, applicants may select from iv concentrations: Data Analytics in Business organisation, Information Science and Engineering, Data Science in Order, and Data Science via Scientific Enquiry.
Admissions Requirements
In improver to coming together all of the University and College admission requirements for graduate study, each applicant for the MS-DSA program must:
- have obtained a Bachelor's degree from an accredited institution and possess a minimal background consisting of MAC 2233 (Method of Calculus) or equivalent, STA 2023 (Introductory Statistics) or equivalent, and computer programming COP 2220, MAD 2502, or equivalent. Cognition of Python and statistical packages, such as R, also as coursework in linear algebra are recommended.
- have a minimum of three.0 GPA (B or better average) on the terminal 60 hours of undergraduate credits and establish graduate level proficiency.
- provide two letters of recommendation.
- take a minimum GRE score of 151 Verbal and 151 Quantitative for GREs taken after August 2014. GRE scores older than 5 years prior to admission will not accepted. The Data Science and Engineering concentration requires the submission of the GRE score (Exact and Quantitative sections), just no minimum values are imposed.
To Utilize
Click here for details on what and where to submit
Contact Us
Vincent Naudot, Ph.D.
Acquaintance Professor
M.S. Data Science and Analytics Kinesthesia Team Liaison
Charles E. Schmidt Higher of Science
Scientific discipline Building (SE-43), Room 278
Boca Raton Campus Map
561-297-1339 | vnaudot@fau.edu | Program Sheet
Source: http://www.math.fau.edu/data-science/index.php
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