CONTACT US
Leah E Whitmire
Associate Director, Enrollment and Academic Services
Phone: 225-578-2961
Email: lwhitm3@lsu.edu
Curriculum
The MSA curriculum emphasizes the use of advanced data management tools, applied statistics, and operations research techniques. Students use SAS, SQL, R, SPSS, Tableau, and other tools to analyze large real-world data sets to increase return on investment, improve customer retention, reduce fraud, and improve decision making. As part of the MSA program, students complete a major team project using a large data set provided by a sponsoring organization. Students present their results and recommendations to the sponsoring organization in a formal executive decision briefing. Students with degrees in business, engineering, economics, statistics, mathematics, and the sciences will benefit the most from this degree.
Key topics include the structured query language (SQL), multivariate statistics, clustering,
data-mining, design of experiments, optimization methods, and predictive modeling.
Teamwork, written and oral communication, presentation skills and state-of-the-art
visualization techniques are stressed throughout the curriculum.
Degree Requirements
- 36 hours of graduate level course work with a 3.0 average or above
- Passing grade on the MSA Comprehensive Exam
- Successful completion of a major project
A typical course list is shown below.
Full-Time Path
| Summer Courses | Hours | ||
|---|---|---|---|
| ISDS 7024 | Advanced Statistical Analysis | 3 | |
| ISDS 7302 | Data Mining |
3 |
|
| ISDS 7070 | Python for Analytics |
3 |
|
| ISDS 7510 | Database Management with SQL and R |
3 |
|
| Total |
12 |
||
| Fall Courses | Hours | ||
|---|---|---|---|
| ISDS 7103 | Operations Research |
3 |
|
| ISDS 4070 | Data Mining Tools |
3 |
|
| ISDS 7075 | Business Forecasting and Applications |
3 |
|
| ISDS 7990 | Practicum Project | 3 | |
| Total |
12 |
||
| Spring Courses | Hours | ||
|---|---|---|---|
| ISDS 7511 | Business Intelligence | 3 | |
| ISDS 7990 | Practicum Project |
3 |
|
| ISDS elective | Approved Elective |
6 |
|
| Total |
12 |
||
Practicum Project
The practicum project is a team-based effort in which students work with leading organizations to solve real analytics problems.
- Teams include two-three students and one faculty member.
- The teams work to understand the business problem and then clean and analyze the data.
- The projects begin in the fall and end in the spring with a presentation to the sponsoring organization.
- Past projects included the following industries: automotive, energy, government, healthcare, higher education, sports, and telecommunications.
Electives
Recommended electives:
- ISDS 7220 - Supply Chain Management
- ISDS 7401 - Healthcare Informatics
- ISDS 4118 - Web Analytics
Other Approved Electives:
- CSC 4740 - Big Data Tech
- ECON 4633 - Time Series
- EXST 7036 - Categorical Data Analysis
- EXST 7152 - Advanced Topics in Statistical Modeling
- ISDS 7070 - Special Topic/Project (topics vary; permission of department)
Application Deadlines
| Term | Apply By: | Classes Start |
|---|---|---|
| Summer 2021 |
International Students: December 15 Domestic Students: April 15 |
May 24, 2021 |
| Module/Term | Apply By | Classes Start |
|---|---|---|
| Spring 1 2021 | December 14, 2020 | January 11, 2021 |
| Spring 2 2021 | March 1, 2021 | March 15, 2021 |
| Summer 1 2021 | May 10, 2021 | May 24, 2021 |
| Summer 2 2021 | June 21, 2021 | July 5, 2021 |
| Fall 1 2021 | August 9, 2021 | August 23, 2021 |
| Fall 2 2021 | October 4, 2021 | October 18, 2021 |