Data Science (A.S.)

Location(s): Brookings Main Campus, Online

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Student writing equations on a board with the professor standing next to her.

Program Coordinator/Contact

Eun Heui Kim, Department Head
Donna Flint, Assistant Department Head
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hall 209
605-688-6196

Program Information

The Data Science major prepares students to use the power of data to help organizations of all sorts and society as a whole to make better decisions. Students learn to use mathematics, statistics, and computational tools to analyze data, and learn to communicate the results of their analysis in order to produce the greatest positive impact. Completion of Option 1 of the Data Science major will allow students to transfer 60 credits of coursework towards many bachelor’s degree programs in the applied, social, or natural sciences that can be enhanced by additional data science focus. Completion of Option 2 of the Data Science major will allow students to transfer 60 credits of coursework towards the B.S. in Data Science or the B.S. in Mathematics with Data Science Specialization.

Course Delivery Format

Program courses are delivered on campus, in classroom and laboratory settings, and online.

Academic Requirements

A grade of “C” or above is required in all MATH and STAT courses.

Requirements for Data Science Major: 60 Credits

Associate of Science

System General Education Requirements

Goal #1 Written Communication: SGR #1 Electives Credits: 6
Goal #2 Oral Communication: SGR #2 Elective Credits: 3
Goal #3 Social Sciences: SGR #3 Electives Credits: 6
Goal #4 Arts and Humanities: SGR #4 Elective Credits: 3
Goal #5 Mathematics: MATH 121 - Survey of Calculus (COM) [SGR #5, HSDC] Credits: 4 and MATH 121L - Survey of Calculus Lab [HSDC] Credits: 1 (Option 1) (Major Requirement) or
MATH 123 - Calculus I (COM) [SGR #5, HSDC] Credits: 4
(Option 2) (Major Requirement)
Goal #6 Natural Sciences: SGR #6 Electives Credits: 3

Major Requirements

STAT 101 - Introduction to Data Science Credits: 3
MATH 270 - Computational Linear Algebra Credits: 3
STAT 410 - SAS Programming Credits: 3
STAT 415 - R Programming Credits: 3

Select one of the following

Option 1

STAT 281 - Introduction to Statistics (COM) [SGR #5, HSDC] Credits: 3
or STAT 381 - Introduction to Probability and Statistics (COM) Credits: 3
STAT 441 - Statistical Methods II Credits: 3
STAT 442 - Exploratory and Cloud-Based Data Analysis Credits: 3

Option 2

MATH 125 - Calculus II (COM) [SGR #5, HSDC] Credits: 4
STAT 382 - Probability Credits: 3
STAT 482 - Mathematical Statistics Credits: 3

Supporting Coursework

Electives

Taken as needed to complete any additional requirements.

Total Required Credits: 60

Summary of Program Requirements

Associate of Science
System General Education Requirements*	21 Credit Hours
Major Requirements	26 Credit Hours
Supporting Coursework	3 Credit Hours
Electives**	10 Credit Hours

*System General Education Requirements for students pursuing an associate degree shall include a minimum of 24 credit hours. Some general education coursework may be counted for Major Requirements, Supporting Coursework, and College Requirements.

**Taken as needed to complete any additional degree requirements.

Academic Advising Guide Sheet

The goal of the academic advising guide sheets and sample plans of study is to promote undergraduate student success by guiding all students to timely completion of an undergraduate degree. Students are not limited to the course sequence provided for their academic program. Instead, the sample plan of study is one possible path to completing your degree and is meant to be used as a guide for planning purposes in consultation with an academic advisor. The plans also help students prepare for meetings with their academic advisor and track their progress in their selected academic program.

Data Science (A.S.)