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Dec 04, 2024
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2020-2021 Undergraduate Catalog [Archived Catalog]
Mathematics (B.S.) - Data Science Specialization
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Program Coordinator/Contact
Kurt Cogswell, Department Head
Department of Mathematics and Statistics
Chicoine Architecture, Mathematics and Engineering Hall 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 will be able to:
- Apply concepts and methods from Calculus and Linear Algebra. (Cross-curricular Skill: Inquiry and Analysis; Critical and Creative Thinking; Problem Solving)
- Analyze, evaluate, and create mathematically rigorous arguments.(Cross-curricular Skill: Inquiry and Analysis; Critical and Creative Thinking)
- Use contemporary mathematical, statistical, and educational software and technology to create models, analyze data, or explain concepts as appropriate for student’s focus. (Cross-curricular Skill: Critical and Creative Thinking; Problem Solving)
- Work as part of a team to solve a complex mathematical or statistical problem.
- Demonstrate mathematical independence by critically reading, understanding and re-explaining mathematical, statistical, or mathematics pedagogy resources. (Cross-curricular Skill: Information Literacy)
- Communicate complex mathematical, statistical, or mathematics pedagogical ideas clearly and succinctly both in writing and verbally as appropriate for student’s focus. (Cross-curricular Skill: Inquiry and Analysis)
- Exhibit strength in at least one career-focused or graduate school preparatory area of mathematics or statistics. (Cross-curricular Skill: Critical and Creative Thinking)
- Understand and appreciate the contributions to the field of mathematics and statistics by a diverse group of individuals and how the student fits and works in this group. (Cross-curricular Skill: Diversity, Inclusion and Equity)
Academic Requirements
A grade of “C” or above is required in all MATH and STAT courses.
Course Delivery Format
Program courses are delivered on campus, in classroom and laboratory settings, and online.
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Requirements for Mathematics Major - Data Science Specialization: 120 Credits
Bachelor of Science
System General Education Requirements
Select from the following
Select thirty credits from the following. Credits: 30
Electives
Taken as needed to complete any additional requirements.
Total Required Credits: 120
Summary of Program Requirements
Bachelor of Science
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| 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.
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