Course Catalog 2024-2025

Data Analytics, BS

Please note, the program-level Learning Objectives here are specific to the Data Analytics and Computer Science classes within the program; and thus, do not include courses in mathematics.

1) Graduates will possess a comprehensive knowledge base of statistical concepts: They will be able to evaluate and apply fundamental statistical concepts in the context of a broad range of data problems, including Bayes Theorem, common statistical tests and biases, inference and causal inference and hypothesis testing.

2) Graduates will be able to apply and evaluate machine learning algorithms in a business problem context, with an emphasis on selecting predictive modeling only when appropriate. Further, they will be able to perform feature engineering and data preprocessing in order to improve the accuracy and efficacy of predictive models.

3) Graduates will be able to perform in-depth exploratory analysis to form hypotheses. They will be able to design experiments to answer causal questions and evaluate the results of the experiments.

4) Graduates will be able to communicate effectively in written, oral, and visual forms and use visualization techniques to communicate insights.

5) Graduates have considered their vocational goals and are reflective of how these may be embodied in their professional and/or personal lives.

 

Requirements for the BS in Data Analytics

General Education Core 38 hours

The following general education requirement is covered in the major: Mathematics (Pre-Calc). Other general education courses may be covered depending on which “choose from” courses are elected in the major.

Data Analytics Core 21 hours

DAT 2013Foundations of Data Analytics I

3

DAT 2023Foundations of Data Analytics II

3

DAT 3013Principles and Techniques of Data Analytics I

3

DAT 3023 Principles and Techniques of Data Analytics II

3

DAT 4213AI and Machine Learning

3

DAT 4513Data Analytics Internship

3

DAT 4613Data Analytics Capstone Practicum

3

Programming Requirements 12 hours

CIS 1103Introduction to Computing

3

CIS 2013Introduction to Programming I

3

CIS 3213Data Structures

3

CIS 4113Forensic and Digital Investigation

3

Mathematics Requirements 7 hours

MAT 2413Elementary Statistics

3

MAT 2514Calculus and Analytic Geometry I

4

Choose two: 6-8 hours

BIO 1011Biological Science I Lab

1

AND

BIO 1013Biological Science I

3

 

BIO 3214General Ecology with Lab

4

BIO 3414Genetics with Lab

4

BUS 4943Business Ethics

3

CIS 3123Development Operations (DevOps) and Web Technologies

3

CIS 3103Object-Oriented Programming II

3

CIS 3223Object-Oriented Programming III

3

ENG 3613Linguistics

3

MKT 4523Market Research

3

NSC 4403Research in the Sciences

3

NSC 4413Ethics in Health Sciences

3

PSY 2013General Psychology

3

PSY 3303Statistics for the Behavioral Sciences

3

PSY 3323Research Methods in the Social Sciences

3

PSY 4943Ethics in the Behavioral Sciences

3

SMG 4363Sport Analytics Capstone

3

Any MAT 2524 or higher

Electives 34 - 36 hours (Watch upper division hours; 30 upper division hours required.)

Total Credit Hours: 120