Starting Fall 2022
What is Data Science?
This new degree, which starts fall 2022, is a collaboration between the College of Business, Department of Information Systems and Computer Science and the College of Arts & Sciences, Department of Mathematics. The data science program provides essential knowledge in statistics, mathematics, and computer science building a solid foundation so graduates can apply their expertise, including skills in programming, algorithms, data mining, and machine learning, to interpret data providing meaningful information for industry and/or research. The rigorous training in this program prepares students to be data scientists in for-profit companies, government, and other organizations. Students will be ready for graduate study in data science or computer science as well. The job outlook for data scientists is bright. Indeed listed Data Scientist as 8th on their list of Best Jobs of 2020 (https://www.indeed.com/lead/best-jobs-2020) and indicated the growth from 2016-2019 in job postings grew 77.57% with an average base salary of $105,510. LinkedIn lists Data Scientist third on their 2020 Emerging Jobs Report (https://business.linkedin.com/content/dam/ me/business/en-us/talent- solutions/emerging-jobs-report/Emerging_Jobs_Report_U.S._ FINAL.pdf) with 37% growth.
BACHELOR OF SCIENCE IN DATA SCIENCE COURSES
Core Curriculum Area A-E (42 hrs)
Area F
Satisfactorily complete the following courses:
| CSCI 1301 | Computer Science I | 3 |
| CSCI 1302 | Computer Science II |
3 |
| CSCI 2351 | Python Programming | 3 |
| CSCI 2800 | Social & Professional Issues | 3 |
| MATH 1401 | Elementary Statistics | 3 |
| Total Credit Hours: | 18 |
NOTE: Additional hours to complete the 18 hours required for Area F will be completed in the cognate areas.
Cognate Area
Satisfactorily complete the following courses:
|
IS/CS Professional Development |
1 |
|
|
IS/CS Career Preparation |
1 |
|
|
Calculus I |
4 |
|
|
Calculus II |
4 |
|
|
Linear Algebra |
3 |
|
|
Total Credit Hours: |
2-13 |
Note: Some courses may count in Area A, D, or F.
MAJOR REQUIREMENTS
Computer Science Required Courses
Satisfactorily complete the following courses:
|
Intro to Data Structures |
3 |
|
|
Discrete Structures |
4 |
|
|
Data Mining |
3 |
|
|
Data Analysis |
3 |
|
|
Analysis of Algorithms |
3 |
|
|
Databases |
3 |
|
|
Machine Learning |
3 |
|
|
Big Data Analysis |
3 |
|
| Total Credit Hours: |
25 |
Mathematics and Statistics Required Courses (13 hrs)
Satisfactorily complete the following courses:
|
Calculus III |
4 |
|
|
Linear Regression |
3 |
|
|
Probability |
3 |
|
|
Statistical Computing |
3 |
|
|
Total Credit Hours: |
13 |
Emphasis Area Electives
Complete a concentration or a minor/major in any area (except computer science, math, or management information systems) OR complete 3 courses with the same prefix from those below:
|
Genetics |
4 |
|
|
Evolution |
3 |
|
|
Population Genetics |
3 |
|
|
Intermediate Microeconomics |
3 |
|
|
Introductory Econometrics |
3 |
|
|
ECON 3000-4000 level |
3 |
|
|
Principles of Management |
3 |
|
|
Oper Quality & Supply Chn Mgmt |
3 |
|
|
Business Analytics |
3 |
|
|
Principles of Marketing |
3 |
|
|
Consumer Behavior |
3 |
|
|
Intro to Political Science |
3 |
|
|
Research Design |
3 |
|
|
Systematic Analysis |
3 |
|
|
Stats Applied to Behavior Sci |
3 |
|
|
Research Methods in Psychology |
3 |
|
|
PSYC 3000-4000 level |
3 |
|
|
Total Credit Hours: |
9-15 |
All prerequisites apply.
Major Electives
|
Additional CSCI or MATH courses at the 3000-4000 level |
|
|
Total Credit Hours: |
4-10 |
Capstone Requirements
Satisfactorily complete one (1) of the following courses:
|
Special Topics |
1-4 |
|
|
Internship and/or Cooperative |
1-15 |
|
|
Undergraduate Research |
1-4 |
|
|
Undergraduate Research |
1-4 |
|
|
Senior Project |
3 |
|
|
Undergraduate Research |
1-4 |
|
|
Total Credit Hours: |
3 |