Master of Science in Data Science

Data Science is emerging fast because of the rising demand of data throughout the world. Data scientists have an extensive variety of skill sets that can leverage data and information to help businesses to make better strategic choices.


Program Description

The Data Science Master’s degree program focuses on developing to bridge the expertise in different disciplines such as information technology, computer science, environmental science, business and health information etc. The program is offered 100% online. The Data Science program will develop students into graduates capable of communicating their data findings in a manner positively affecting decisions in a wide variety of fields. The program will provide graduates with the knowledge, skills, and attitudes to capture, maintain, process, and analyze information from large and complex data in fields such as finance, defense, health, and environmental science.  Graduates with the ability to understand and use big data would be employed by institutions and industries including government, businesses, financial institutions, healthcare, scientific research facilities, and colleges and universities.

The program can be completed face-to-face or fully online. All courses are offered using a video-conferencing tool for online students to join live lectures and participate in live interactions between the instructor and the students. Online students are strongly encouraged to attend live lectures synchronously via the video-conferencing tool.

Department Contact

Dr. Jia Liu
Department Chair
Building 4, Room 226

 Phone: 850.474.3202
 Email: jliu@uwf.edu 

Catalog Description


Admissions Requirements

  • Submission of Graduate Application and Processing Fee
  • Submission of official transcripts 
    *International students may have additional requirements.

Departmental Requirements

In addition to the University graduate admission requirements described in the Admissions section of the catalog, the department bases decisions for regular admission on a holistic review of credentials in which the following criteria are used to assess the potential success of each applicant:

  • BS in a related field.
  • GPA 3.0 or higher, and GRE Verbal score of at least 150 and Quantitative score of at least 150

If an applicant does not meet the above requirements, they may be considered for conditional admission. Please contact the department for more information. If a student has a graduate degree in any of the sciences, no GRE is required.

  • An applicant may be fully admitted if the student has all required undergraduate proficiency courses.
  • An applicant may be provisionally admitted subject to completing the required undergraduate proficiency courses.

With the approval from the department, a maximum of six credit hours may be transferred into the program. 
Students seeking the M.S. in Data Science must have completed the following courses below prior to admission:

  • Introduction to  Statistics
  • Calculus II
  • One programming course (such as Python)

Program Requirements

The MS in Data Science degree program requires the completion of 30 graduate semester credit hours (SCH). The degree program will be comprised of a 21 SCH core, which includes 9 SCH of statistics, 9 SCH of computer science, and 3 SCH of mathematics. The other 9 SCH will incorporate a concentration in Information Technology, Mathematics, Statistics, Computer Science, and Earth and Environmental Sciences. All courses in the concentrations will be offered online.

Exam Proctoring Information

In order to ensure the security and integrity of our exams, students who do not live near the UWF Main or Emerald Coast campus will need to take exams with a proctor.

Testing Time Policy

Proctored exams may only be administered from 12:00 PM to 7:00 PM (Central). If you live outside of the Central time zone, you must adjust your time to synchronize with this time frame (i.e.: 1:00PM-8:00 Eastern, etc.). Please visit https://uwf.edu/hmcse/departments/mathematics-and-statistics/graduate-program/exam-proctoring/ for detailed information.

Attendance Requirement for Online Students

For distance students to succeed in our hybrid distance learning program, it is important that distance students attend live each lecture via Webex.  The strength of the online graduate program and students' success depend on the live interaction between students and lecturers.


Preferred Application Dates (For Assistantships)
Fall & SummerSpring
February 15 October 1

To ensure consideration for all available graduate funding, applicants should submit applications received by the listed Preferred Application Date. Applications received after these dates will be reviewed for admission, but may not be eligible for funding. Applicants should contact the appropriate graduate coordinator or department chair for more information.

Graduate Application Deadlines
FallSpringSummer
June 1 October 1 March 1

Application deadlines for most graduate programs. Applicants should contact the appropriate graduate coordinator or department chair for more information.