Data Analytics

Program Options

Data Analytics web site


Program Overview

Data Analytics is a joint program of the College of Business and Public Administration and the College of Arts and Sciences designed to develop analysts who can work with data to uncover practical insights and support sound and ethical decision-making.  The foundation of the program is a core of computer science and statistics classes that build problem-solving skills.  Each student also takes courses in an application (or specialty) field to which data analytics competencies are applied.


Requirements for Major

The Data Analytics major core consists of 30 credit hours, with the specialty requiring nine 14.5 hours.  Specialties include:

  • Finance
  • eCommerce
  • Biology
  • Marketing
  • Mathematics
  • Computer Science
  • Actuarial Science
  • Economics

The Major Core

Course

Credits

CS 065 - Introduction to Computer Science I

3

CS 066 - Introduction to Computer Science II

3

CS 083 - Computer Ethics

3

CS 167 - Machine Learning

3

CS 178 - Cloud Computing and Database Systems

3

CS/STAT 190 – Case Studies in Data Analytics and Big Data

3

STAT 040 - Introduction to R and SAS

3

MATH/STAT 130 - Probability for Analytics or ACTS/STAT 131 – Introduction to Probability + lab

3 or 3.5

STAT 170 – Statistical Modeling and Data Analysis II

3

STAT 172 –Generalized Linear Models and Data Mining

3


Requirements for Specialties

To complete the course of study, each Data Analytics student will choose at least one specialty area through which foundational data analytics principles are applied.  Each specialty includes a capstone course and recommended internship experience.

Actuarial Science

12 credit hours plus capstone and recommended internship.

Course

Credits

Choose four courses among the following.  Both courses in a pair must be taken:

ACTS 121 – Introduction to Derivatives and ACTS 145 – Derivatives Mathematics

ACTS 132 – Introduction to Probability II and ACTS 141 – Statistical Modeling and Data Analysis I

ACTS 150 – Life Insurance Mathematics I and ACTS 198 – Mathematical Statistics

12

Internship (recommended)

3

BUS 195 Business Strategy and Policy or CS 191 Capstone

3 or 1

Total

15 or 13

Bioinformatics

16 credit hours plus recommended internship.

Course

Credits

BIO 012 – General Biology I

3

BIO 012L – General Biology I Lab

1

BIO 105 – Introduction to Genetics, or

BIO 165 – Cell Biology

3

BIO 116 - Bioinformatics

3

BIO 186 – Molecular Biology

3

BIO 198 – Internship or similar course (recommended)

1-12

BIO 199 – Capstone

3

Total

16

 

Computational

13 credit hours plus recommended internship.

Course

Credits

Choose four courses among the following:

CS 137 – Data Structures and Algorithms

CS 143 – Artificial Intelligence

CS 147 - Graphics

CS 160 – Operating Systems

CS 165 – Numerical Methods

CS 188 – Software Engineering

Appropriate topics course in computer science, informational systems, mathematics, and in other disciplines, by permission of the instructor

12

CS 191 – Capstone

1

Internship or similar course (recommended)

3

Total

16

Electronic Commerce

9 credit hours plus capstone and recommended internship.

Course

Credits

Choose three courses among the following:

IS 074 – Advanced IT Applications for Business

IS 145 – Website Technology

IS 160 – Database Management

IS 194 – Electronic Commerce

Another electronic commerce-related business course

9

Internship (recommended)

 

BUS 195 Business Strategy and Policy  or CS 191 Capstone

3 or 1

Total

12 or 10

Economics

12 credit hours plus capstone and recommended internship.

Course

Credits

ECON 010 – Principles of Macroeconomics

3

ECON 107 - Econometrics

3

ECON 173 – Intermediate Microeconomic Analysis

3

ECON 174 – Intermediate Macroeconomic Analysis

3

Internship (recommended)

 

BUS 195 Business Strategy and Policy  or CS 191 Capstone

3 or 1

Total

15 or 13

Finance

Nine credit hours and recommended internship.

Course

Credits

FIN 102 – Advanced Corporate Finance

3

FIN 121 – Introduction to Derivatives

3

FIN 193 – Portfolio Analysis

3

Internship (recommended)

 

BUS 195 Business Strategy and Policy  or CS 191 Capstone

3 or 1

Total

12 or 10

Marketing

Nine credit hours and recommended internship.

Course

Credits

MKTG 113 – Marketing Research

3

Choose two courses among the following:

MKTG 109 – Marketing and the Internet

MKTG 111 – Direct and Interactive Marketing

MKTG 130 –Marketing Analytics

6

Internship (recommended)

 

BUS 195 Business Strategy and Policy  or CS 191 Capstone

3 or 1

Total

12 or 10

Mathematics

13 credit hours plus recommended internship.

Course

Credits

Choose three courses among the following:

MATH 125 – Mathematical Modeling

MATH 127 – Game Theory

CS/MATH 165 – Numerical Methods

MATH 176 – Advanced Linear Algebra

STAT/MATH TBA - Probability

9

MATH 120 – Differential Equations

3

MATH 191 - Capstone

1

MATH 140 - Internship or similar course (recommended)

 

Total

13


Data Analytics Minor

Course

Credits

CS 065 – Introduction to Computer Science I

3

CS 066 – Introduction to Computer Science II

3

Choose one course among the following:

MATH 028 – Business Calculus

MATH 050 – Calculus I

MATH 070 – Calculus II (recommended if students take STAT 172 below)

3-4

STAT 040 – R and SAS

3

Choose one course among the following:

STAT 060 – Statistics for the Life Sciences

STAT 071 – Statistics I

STAT/MATH 130 – Introduction to Probability

 

Choose one course among the following:

CS 167 – Machine Learning

STAT 172 – Generalized Linear Models and Data Mining

3

 

 

 

 

3

Choose one course among the following:

CS 178 – Cloud Computing and Database Systems

STAT 170 – Statistical Modeling and Data Modeling

IS 160 – Database Management

3

Total

 21 or 22

 


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