Master of Science in Business Analytics
Program Contact: Christopher Neidig 203-582-3868
The MS in Business Analytics program is designed to develop the skills to extract, analyze, interpret and present data for business decision making. These skills are critical to decision making in every sector of industry, government and nonprofit organizations. The program emphasizes analytical and statistical tools that enable graduates to use sophisticated means to mine, analyze, evaluate and present data in a variety of organizational environments.
MS in Business Analytics Program of Study
|Required Core Courses|
|BAN 610||Introduction to Business Analytics||3|
|BAN 615||Predictive Modeling||3|
|CIS 620||Data Management||3|
|CIS 627||Data Warehousing||3|
|CIS 628||Data Mining||3|
|BAN 620||Text Mining||3|
|BAN 650||Data Visualization||3|
|BAN 690||Business Analytics Capstone||3|
|Select three of the following: 1||9|
|Web Analytics and Web Intelligence|
|Programming for Data Analysis|
|Health Care Analytics|
|Business Design and Object-oriented Analysis|
Additional elective business courses are available to students at the discretion of the program director.
- Evaluate different techniques used to analyze data.
- Explain how data is stored, accessed and retrieved.
- Apply business analytics techniques and utilize analytical tools for organizational decision making.
- Demonstrate skills in interpreting and presenting analytical results
To be admitted to the program, an applicant must have completed an undergraduate degree program with a GPA of at least 3.0. Work experience and recommendations also are strongly considered in the admission process. Standardized test scores (such as GMAT or GRE) submitted by the students in support of the application also are considered, but are not required.
In addition, applicants to the MS in Business Analytics program must possess an undergraduate major, graduate degree or other significant course work in a quantitatively oriented area, including but not limited to mathematics, actuarial science, statistics, computer science, engineering, operations management, accounting, finance, economics or the natural sciences.
A complete application consists of the following: an application form, application fee, two professional recommendations, a recent resume, a personal statement and official transcripts of all undergraduate and graduate work completed.