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Curriculum

Business analytics, MS degree, typical course sequence

Course Sem. Cr. Hrs.
First Year
MGIS-650
Introduction to Statistical Analysis and Data Analytics
This course serves as an introduction to data analysis including both descriptive and inferential statistical techniques. Contemporary data analytics and business intelligence tools will be explored through realistic problem assignments.
3
BANA-680
Data Management for Business Analytics
3
FINC-780
Financial Analytics
3
BANA-780
Advanced Business Analytics
3
MKTG-768
Marketing Analytics
This course provides an overview of marketing analytics in the context of marketing research, product portfolios, social media monitoring, sentiment analysis, customer retention, clustering techniques and customer lifetime value calculation. Students will be introduced to, mathematical and statistical models used in these applications and their implementation using statistical tools and programming languages such as SAS, SPSS, Python and R. Multiple data sources will be used ranging from structured data from company databases, scanner data, social media data, text data in the form of customer reviews and research databases. Students will complete guided projects using real time data and make effective use of visualization to add impact to their reports. There are no listed pre or co-requisites; however, instructor permission is required student aptitude for quantitative work will be assessed; waived for students enrolled in quantitative programs such as the MS-Computational Finance which have pre-requisites in the areas of calculus, linear algebra, and programming.
3
BANA-785
Business Analytics Experience (Capstone)*
3
Analytics Elective*
6
Free Elective*
6
Total Semester Credit Hours
30

* The Business Analytics Experience (BANA-785), one analytics elective, and one free elective are completed during the summer.

Faculty and Staff Directory - Full-time by Dept

94% Outcome Rate
Saunders students have a 94% Outcome Rate 6-months after graduation