Data Science, MS

Degree Requirements: 30 cr.

1. BIA 680

   Artificial Intelligence Fundamentals (3 cr.)
2. BIA 630

   Data Analysis and Business Modeling (3 cr.)
3. BIA 635

   Data Science Strategies (3 cr.)
4. DIGA 610

   Relational Database Design and Administration (3 cr.)
5. DIGA 620

   Data Engineering (3 cr.)
6. DIGA 660

   Python Programming for Technology and Data Science (3 cr.)
7. DIGA 665

   Cloud Architecture for Data Science and Visualization (3 cr.)
8. DIGA 670

   R Programming for Data Science (3 cr.)
9. DIGA 675

   Foundations of Machine Learning (3 cr.)
10. GM 630

    Quantitative Methods (3 cr.)

Pathways to Graduate Certificates

1. Artificial Intelligence Certificate (3 additional credits). Additional courses include:

   Not resolved to a course
2. BIA 645

   Communications and Content Strategies (3 cr.)

   As published: “Communications and Content Strategy or BIA681 Deep Learning Methodology (3 cr.)”
3. Data Engineering Certificate (3 additional credits). Additional course includes:

   Not resolved to a course
4. DIGA 650

   Advanced Data Engineering and Visualization (3 cr.)
5. Geographic Information Science (GIS) Certificate (9 additional credits). Additional courses include:

   Not resolved to a course
6. DIGA 605

   Fundamentals of Geographic Information Systems (GIS) (3 cr.)
7. DIGA 615

   Data Acquisition and Location of Things (3 cr.)
8. DIGA 630

   Advanced GeoSpatial Data and Location Analytics (3 cr.)
9. Healthcare Analytics Certificate (9 additional credits). Additional courses include:

   Not resolved to a course
10. BIA 670

    Data-Driven Culture (3 cr.)
11. BIA 671

    Information Systems for Healthcare Analytics (3 cr.)
12. BIA 672

    Artificial Intelligence for Healthcare (3 cr.)

Faculty

Admission Requirements

Application Process

1. Completed application form and,

   Not resolved to a course
2. An official transcript issued to Saint Mary’s University of Minnesota from the institution posting the applicant’s completed bachelor’s degree and other relevant transcripts documenting program prerequisites and potential transfer credits. (An official transcript is one that is sent to the university by the credit-granting institution. Transcripts from countries other than the U.S. must be evaluated on a course by course basis by a university accepted evaluation service, such as World Education Services, Educational Credential Evaluators, Educational Perspectives, or One Earth International Credential Evaluators and be deemed equivalent to accredited U.S. university standards). Evaluations from an approved member of the National Association of Credential Evaluation Services (NACES.org) will also be accepted. Students with transcripts issued in the U.S. may be admitted without an official transcript. Students must provide an official transcript by the last day to add/drop classes in their first term of attendance. In cases where students are completing coursework while simultaneously applying for admission, students may be admitted with an in-progress transcript, and an official transcript posting final grades and, when appropriate, degree attainment, must be submitted before students are allowed to register for subsequent semesters.

   Not resolved to a course