Data Science (MS)
Offered jointly by theÌýDepartment of , Ìýand theÌýDepartment of , , the Data Science (MS) is designed for individuals augmenting or beginningÌýstudies in data science. The program prepares students for data analytic positions inÌýacademia, government, and industry that require extensive knowledge of statistical and computational tools applied to political, social, and institutional problems. Having trained in the collection, organization, analysis, interpretation, and presentation of data, graduates canÌýprocess, understand, and explore a wide class of human-generated information to solve complex problems and produce new knowledge.
Admission to the Program
Open to students with a bachelor's degree from an accredited institution. Formal admission to the program requires a cumulative grade point average of 3.00 (on a 4.00 scale) and departmental approval. Prior to enrollment in the program, applicants must have completed one of the following: Ìý´Ç°ùÌýÌý´Ç°ùÌý. This may be waived for qualified persons with comparable prior education or experience.ÌýStudents are required to complete a mathematical boot camp prior to starting the program.
Degree Requirements
- 30 credit hours of approved graduate work
- Capstone Experience: Ìý
Course Requirements
Required (12 credit hours)
Analysis/Statistics (3 credit hours)
Complete 3 credit hours fromÌýthe following:
Note: Students in the online program are required to complete .
Ìý/
Methods (3 credit hours)
Complete 3 credit hours from the following:
Note: Students in the online program are required to complete .
Track (9 credit hours)
Complete 9 credit hours from one of the following tracks:
Applied Public Affairs
Complete 9 credit hours from the following if not taken to fulfill Analysis/Statistics, or other graduate courses approved by advisor:
Ìý/
Business Analytics
Required (6 credit hours)
Elective (3 credit hours)
Complete 3 credit hours from the following:
Business Analytics (Online)
Required (6 credit hours)
Elective (3 credit hours)
Complete 3 credit hours from the following:
Computer Science
Required (3 credit hours)
Electives (6 credit hours)
Complete 6 credit hours from the following, or other graduate courses approved by advisor:
/Ìý
Cybersecurity
Complete 9 credit hours from the following:
Note: Students may receive credit for no more than 3 credit hours from , , , and .
Environmental Science
Complete 9 credit hours from the following:
Finance
Required (6 credit hours)
Elective (3 credit hours)
Complete 3 credits from the following:
International Economic Relations
Required (6 credit hours)
Elective (3 credit hours)
Complete 3 credits from the following:
Ìý/
Investigative Journalism
Required (3 credit hours)
Selection (3 credit hours)
Complete 3 credits from the following:
Elective (3 credit hours)
Complete 3 credits from the following:
Microeconomic Analysis
Required (3 credit hours)
Electives (6 credit hours)
Complete 6 credit hours from the following:
Ìý/
Specialized Methods in Data Science
Complete 9 credit hours from the following if not taken to fulfill Analysis/Statistics, or other graduate courses approved by advisor:
Note:ÌýStudents may receive credit for no more than 3 credit hours from , , andÌý.
Ìý/ÌýÌý
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Specialized Methods in Data Science (Online)
Complete 9 credits from the following: