Data Analytics (AS)
60 Credits
This degree provides an introduction to data science by combining the tools of basic statistics, computer programming, and mathematical analysis with foundational concepts from a specific domain area. It will give students sufficient knowledge to enter the job market and to transfer credits to a baccalaureate program at a four-year institution.
Core Courses – 33-35 Credits
Completion of this degree is dependent upon a grade of C or higher in each of the following courses:
Complete one of the following two courses:
Required
Complete two of the following MATH courses grouped as follows:
Additional Required Courses – 25-27 Credits
Complete one of the following three courses:
Required
Complete a minimum of six additional credits from at least two of the following MnTC Goals: (6 Credits)
3, 6, 7, 8 or 10.
Complete additional courses to reach 60 college-level credits total (9-11 Credits)
Suggested courses for specialization areas are listed below.
Other Degree Requirements
- Earn a minimum cumulative grade point average (GPA) of 2.0 for college-level coursework (courses numbered 1000 and above) completed at Normandale.
- Earn a minimum of 20 college-level credits at Normandale.
Coursework in this degree program satisfies a portion of the Minnesota Transfer Curriculum (MnTC). Please see MnTC Degree Audit Report.
Sample Domain Specialization Areas for the AS in Data Analytics
Four-year data science programs and employers want students to be prepared to specialize in a chosen domain area. The domain specialties below represent a few possible areas of interest. Students should consult with faculty and advisors, including those at possible transfer institutions, for further information.
Bioinformatics:
Finance:
Law Enforcement/Government:
Marketing:
Mathematics:
Others:
Students can also develop other domain specialization areas in consultation with their advisor and faculty.
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