This program will provide students with a foundation to use state-of-the-art programming tools and software packages to develop statistical models. Students will learn how to use data for identifying trends and patterns, solving problems, communicating results, and recommending optimal solutions.
Coursework for the business intelligence and analytics concentration focuses on providing students with the skills to gather, analyze, and use data to make informed decisions. Graduates will be prepared to enter business and organizations that need educated professionals to help make informed recommendations. This program is available on-campus and online.
Business Intelligence & Analytics Concentration
This concentration will prepare students for organizations looking for data-driven recommendations. The coursework addresses the use of tools to store, access, and analyze data to support making informed business recommendations. Students will learn how to retrieve data, gain insights, make decisions, and communicate solutions to various constituents in specific settings of data science and analytics. Students will select four courses in consultation with the faculty advisor.
Admission
- A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information system & technology, or a related field from a regionally-accredited institution or an equivalent institution outside the U.S.; students holding a bachelor's degree in an unrelated field will need competency in topics related to basic statistics and computer science.
- Current scores on the Test of English as a Foreign Language (TOEFL) of at least 230 on the computer based TOEFL or 79 on the TOEFL iBT, or IELTS 6.5 overall.
Students with previously completed work at a regionally-accredited institution may submit a request for a maximum of 12 elective graduate credit hours to be transferred into the program. If approved by the admission committee, it will be added to the transcript.
Curriculum Requirements
The program requires 30 credit hours. A capstone project is required.
Data Science & Analytics Core
Course List | Code | Title | Credit Hours |
| DASC/CS 620 | Introduction to Data Science and Analytics | 3 |
| CS 624 | Data Analytics and Big Data | 3 |
| CS 625 | Data Visualization | 3 |
| STAT 603 | Probability Models for Data Science and Analytics | 3 |
| DASC 605 | Advanced Statistical Concepts in Data Science | 3 |
| Total Credit Hours | 30 |
Business Intelligence & Analytics Concentration
Course List
| Code |
Title |
Credit Hours |
| 6 |
| Programming for Data Science | |
| Data Visualization and Exploration | |
| Advanced Business Analytics/Big Data Applications | |
| Simulation Modeling for Business and Supply Chain Systems * | |
| 6 |
| Database Management Systems | |
| Business Intelligence | |
| Information and Communications Technology for Big Data | |
| Total Credit Hours | 12 |
