Undergraduate programs

The mathematical sciences have long provided the proper language of the physical sciences and engineering, and they are playing an increasingly important role in areas as diverse as computer science, the social sciences, business administration and economics, and the biological and medical sciences. Many are drawn to the study of mathematics and statistics precisely because of this broad applicability. Others are attracted by the rigorous training these disciplines provide in abstract reasoning, and the many surprising results and elegant arguments they encounter. The department offers a wide variety of courses in mathematics and statistics to meet the needs of a student body having very diverse interests. Anyone who would like to learn more about the department’s faculty, programs, courses, activities and other services is encouraged to explore the department website, or visit the department office.

Degree Maps and Learning Outcomes

Admission requirements

Mathematics B.A./B.S.

Data Science B.S.

B.S. in Data Science

The degree program requires a basic core of courses (61 credits) and elective courses (12-15 credits). This structure gives flexibility to the program that allows students to pursue special areas of interest in applications of data science. The program is designed to provide a foundation for more advanced work and/or a basis for employment in business, industry, and government.

Requirements

In addition to meeting the general University degree requirements, the major in data science must complete the following requirements.

Courses

Mth 231	Data Science Seminar	2
Mth 251	Calculus I	4
Mth 252	Calculus II	4
Mth 261	Introduction to Linear Algebra	4
Mth 253	Calculus III	4

Mth 271	Mathematical Computing	4
	or
CS 161	Introduction to Programming and Problem-Solving	4

Mth 343	Applied Linear Algebra	4
CS 250	Discrete Structures I	4
Stat 361	Introduction to Statistical Methods	4
Stat 363	Statistical Computing and Data Visualization in R	4
CS 350	Algorithms and Complexity	4
Stat 364	Modern Regression Analysis	4
Mth 371	Large-Scale Data Algorithms	4
Stat 387	Introduction to Statistical Learning	4
CS 486	Introduction to Database Management Systems	4
Stat 409	Data Science Practicum	3

Additional requirements chosen from approved list of electives

Mth/Stat (two)	Approved 400-level Mth or Stat courses	6-7
Other (two)	Approved 300- or 400-level courses	6-8

Check with the department for the list of additional courses, including omnibus-numbered courses, which may be approved as electives.

Approved Mth/Stat Electives are:

Mth 451	Numerical Calculus I	3
Mth 452	Numerical Calculus II	3
Mth 453	Numerical Calculus III	3
Mth 461	Graph Theory I	3
Mth 462	Graph Theory II	3
Mth 464	Numerical Optimization I	3
Mth 465	Numerical Optimization II	3
Stat 461	Introduction to Mathematical Statistics I	3
Stat 462	Introduction to Mathematical Statistics II	3

Approved electives from other disciplines are:

Actg 335	Accounting Information Systems and Analytic Fundamentals	4
Comm 389U	Ethics of Human Communication	4
CS 430P	Internet, Web, & Cloud Systems	4
CS 441	Artificial Intelligence	4
CS 445	Machine Learning	4
G 324	Data Management and Analysis	5
GSCM 412	Introduction to Enterprise Resource Planning Systems	4
ISQA 481	Blockchain Fundamentals	4
Mgmt 442	Human Resources Information Systems & People Analytics	4
PHE 350	Health and Health Systems	4
PHE 427	Introduction to Health Informatics	4
PHE 450	Epidemiology	4
Phl 314U	Computer Ethics	4

Total Credit Hours: 73-76