Mathematics (B.S.) - Data Science Specialization

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Program Coordinator/Contact

Kurt Cogswell, Department Head
Department of Mathematics and Statistics
Architecture, Mathematics, and Engineering 209
605-688-6196

Program Information

The Data Science Specialization of the Mathematics degree program provides an outstanding educational experience to students interested in any of the wide range of excellent career or graduate school choices available in the data science. Graduates gain all the mathematical expertise associated with the B.S. in Mathematics degree program while simultaneously building substantial additional expertise in the mathematical, statistical, and computational methods of data science. Graduates are thus prepared for any post-graduation outcome including immediate entry into the professional world or further study in a pursuit of a Master’s degree or a Ph.D. in mathematics, statistics, or data science.

Student Learning Outcomes

Upon completion of the mathematics major, students should be able to:

Demonstrate competence in all core areas of undergraduate mathematics.
Develop strength in the mathematical, statistical, and computational methods of data science.
Use contemporary data science-specific data analysis and presentation software.
Apply research methods to data science problems.
Communicate the results of data analysis clearly and succinctly in writing.
Articulate complex quantitative ideas to an audience.

Academic Requirements

A grade of “C” or above is required in all Math courses.

Course Delivery Format

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

Requirements for Mathematics Major - Data Science Specialization: 120 Credits

Bachelor of Science

System General Education Requirements

Goal #1 Written Communication : Credits: 6
Goal #2 Oral Communication : Credits: 3
Goal #3 Social Sciences/Diversity : Credits: 6
Goal #4 Arts and Humanities/Diversity : Credits: 6
Goal #5 Mathematics:
MATH 123
Credits: 4
Goal #6 Natural Sciences: INFO 101  and PHYS 111-111L  or
PHYS 211-211L
  or
CHEM 106-106L
  or
CHEM 112-112L
  or BIOL 151-151L  Credits: 7

Major Requirements

MATH 125 - Calculus II (COM) [SGR #5] Credits: 4
MATH 198 - The Mathematics Profession Credits: 1
MATH 225 - Calculus III (COM) [SGR #5] Credits: 4
MATH 230 - Sophomore Seminar Credits: 1
MATH 253 - Logic, Sets, and Proof Credits: 3
MATH 315 - Linear Algebra (COM) Credits: 4
MATH 321 - Differential Equations (COM) Credits: 3
MATH 401 - Senior Capstone Credits: 1-2 (2 credits required)
MATH 413 - Abstract Algebra I (COM) Credits: 3
MATH 425 - Real Analysis I (COM) Credits: 3
STAT 382 - Probability Credits: 3

Select from the following

Select thirty credits from the following. Credits: 30

CSC 250 - Computer Science II (COM) Credits: 3
CSC 300 - Data Structures (COM) Credits: 3
CSC 319 - Parallel Computing (COM) Credits: 3
MATH 316 - Discrete Mathematics (COM) Credits: 3
MATH 374 - Scientific Computation I Credits: 3
MATH 475-575 - Operations Research (COM) Credits: 3
STAT 383 - Geospatial Data Analysis Credits: 3
STAT 410-510 - SAS Programming Credits: 3
STAT 415-515 - R Programming Credits: 3
STAT 442 - Exploratory and Cloud-Based Data Analysis Credits: 3
STAT 445-545 - Nonparametric Statistics (COM) Credits: 3
STAT 451-551 - Predictive Analytics I Credits: 3
STAT 453-553 - Applied Bayesian Statistics Credits: 3
STAT 460-560 - Time Series Analysis (COM) Credits: 3
STAT 482 - Mathematical Statistics Credits: 3

Supporting Coursework

CSC 150 - Computer Science I (COM) Credits: 3

Electives

Taken as needed to complete any additional requirements.

Total Required Credits: 120

Summary of Program Requirements

Bachelor of Science
System General Education Requirements	32 Credit Hours
Major Requirements	61 Credit Hours
Supporting Coursework	3 Credit Hours
Electives**	24 Credit Hours

**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.