Data Science, M.S.

Degree:Master of Science (M.S.)
Major:Data Science
Certificate:Data Science
Department:Mathematics & Statistics
Building 4, Room 223
850.474.2276
http://uwf.edu/mathstat
College:Hal Marcus College of Science and Engineering
CIP Code:11.0802
Semester Hours Required For Degree: 30

The M.S. in Data Science (M.S.D.S) offers students who hold bachelor’s degrees in mathematics, statistics, computer science, engineering, business, health or related fields an opportunity to broaden their knowledge in the field of data science. Data Science is an interdisciplinary field consisting of mathematics, statistics, computer programming, data management, machine learning, and visualization.  Data scientists are trained to capture, maintain, process, and analyze data from large and complex data. Students in the M.S.D.S. program will learn to extract and communicate meaningful information from data sets and become capable of communicating their findings in a way that positively affects decisions in business, healthcare, industry, government, and the defense industry. Graduates with the ability to understand and use big data are already being employed by institutions and industries including government, healthcare, scientific research facilities, and colleges and universities. Students who graduate with the M.S.D.S. will be able to manipulate, manage, and interpret data suitable to the employer's needs. The M.S.D.S. program is designed for students seeking careers in science, industry, or government; or for students who plan to pursue doctoral studies.

Admission Requirements

The selection of the applicants in Data Science tracks is based on the appropriate department approval. Hal Marcus College of Science and Engineering will determine the selection of applicants in the Analytics and Modeling track. The College of Business will determine the selection of students in the Analytics of Business Decisions track; and the Usha Kundu, MD College of Health will determine the selection of students in the Health Analytics track. 
 

In addition to the University graduate admission requirements described in the Admissions section of the catalog, the applicant must meet the following minimum departmental admission requirements for regular admission:

  • have obtained a Bachelor’s degree from an accredited institution.
  • have a minimum of 3.0 GPA (B or better average) on the undergraduate credits.
  • Graduate Record Examination (GRE): Verbal score of at least 150 and Quantitative score of at least 150. GRE scores older than 5 years prior to admission may not be accepted.

If an applicant does not meet the above requirements, they may be considered for conditional admission. Please contact the department for more information.

  • 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 of the department, a maximum of six credit hours may be transferred into the program.

Prerequisite Course Requirements

Students seeking the M.S. in Data Science must have completed the following courses below prior to admission:

All students in the Data Science program must complete the following core courses. A grade of 'C' or better is required in all courses with an institutional GPA of 3.0 or higher. 

Core Requirements

STA 5176Statistical Modeling3
STA 6235Modeling in Regression3
STA 6257Advanced Statistical Modeling3
Total Hours9

Track Options

In addition to fulfilling core requirements, students will choose to pursue one of three tracks:

Analytics and Modeling Track

Department approved 5/6000-level electives. A maximum of 9 sh may be at the 5000-level.9
Choose four courses from the following list. Selection is based on Hal Marcus College of Science and Engineering advisor approval.12
Database Systems
Advanced Big Data Analytics
Machine Learning
Multivariate Methods
Total Hours21

Analytics of Business Decisions Track

Department approved 5/6000-level electives. A maximum of 9 sh may be at the 5000-level. 9
Choose four courses from the following list. Selection is based on College of Business advisor approval.12
Operations Management Problems
Business Intelligence Applications
Big Data Mining: A Managerial Perspective
MBA Foundations: Financial Management I *
MBA Foundations: Management Skills and Applications *
Accounting for Decision Making **
* GEB5872 and GEB 5875 are 1.5 SCH; must take both courses.
** GEB 5872 must be taken before ACG 6309.
Total Hours21

Health Analytics Track

Department approved 5/6000-level electives. A maximum of 9 sh may be at the 5000-level. 9
Choose four courses from the following list. Selection is based on Usha Kundu, MD, College of Health advisor approval.12
Bioinformatics and Data Science
Epidemiology for Public Health Professionals
Disease Surveillance and Monitoring
Health Informatics
Quantitative Foundations and Data Analysis for Health Admin
Quality Improvement Processes in Health Organizations
GIS Applications in Public Health
Total Hours21

Certificate in Data Science

The Certificate in Data Science is a program both online and face-to-face. Online courses are offered both synchronous and asynchronous. Students admitted to the certificate program must successfully complete the four courses (for a total of 12 semester hours) listed below earning a grade of "C" or better in each course, and secure a combined grade point average of 3.0 or higher. Students are expected to complete the program in at most 3 semesters.

Admission Requirements

Participants must have a B.S. degree with a grade point average of 3.0 or higher. Participants that pursue this certificate in non-degree seeking status will not be required to complete the GRE for admissions into the certificate program. 

Program Requirements

Prospective students for this certificate must contact the graduate advisor from the Department of Mathematics & Statistics to start the Declaration of Certificate process before the drop/add period of the semester of completion. To earn the certificate, students must complete the courses listed below within five years of admission into the program, earn a grade of 'C' or better in each of the four courses, and have a grade point average of 3.0 or higher for the combined courses. Students who obtain the certificate of Data Science must have a minimum GPA of 3.0 for the two core courses (STA 5176 and MAP 5471) to be eligible for the Data Science’s Master’s program.

All students in the Data Science certificate program must complete the following two core courses. 

Core Requirements 

STA 5176Statistical Modeling3
MAP 5471Advanced Probability and Inferences3
Total Hours6

Electives

In addition to fulfilling two core requirements, students will choose to take two electives out of the following courses:

Choose two courses (six credit hours in total) from the following list. Selection is based on Hal Marcus College of Science and Engineering advisor approval.6
Database Systems
MBA Foundations: Financial Management I *
MBA Foundations: Management Skills and Applications *
Accounting for Decision Making **
Big Data Mining: A Managerial Perspective
* GEB5872 and GEB 5875 are 1.5 SCH; must take both courses.
** GEB 5872 must be taken before ACG 6309.
Total Hours6