Earn an Online Master of Science in Analytics from LSU
Build practical skills in analytics, statistics, and computing to solve real-world business challenges and improve organizational performance.
Apply data-driven methods to reduce costs, increase revenue, streamline processes, and support strategic decision-making.
Strengthen leadership-ready expertise through hands-on projects and team-based learning designed to mirror how analytics is used in industry.
Offered through the Stephenson Department of Entrepreneurship & Information Systems in the E. J. Ourso College of Business
Accreditation
The online Master of Science in Analytics program is accredited by the Association to Advance Collegiate Schools of Business (AACSB).
Save Time. Save Money. Simplify Your Application.
LSU Online now offers a FREE transcript service that helps you collect your transcripts at no cost—so you can focus on your future! Learn More
Admissions
Whether you’re returning to school or advancing your career, our admissions team is here to support you every step of the way.
Apply by
May 11, 2026
Classes begin
May 25, 2026
Admission Requirements
- Bachelor’s degree from regionally accredited U.S. institution or equivalent from a foreign institution
- GPA – 3.0 on all undergraduate work (or last 60 credit hours) and a 3.0 on any graduate work already completed
- Official transcripts of all previous college or university work
- Professional resume
Applicants who meet the Pinkie Gordon Lane Graduate School's minimum requirements are not guaranteed admission.
Optional
Any of these items may enhance your application package:
- Work experience in the field of analytics.
- An undergraduate degree or certificate in a STEM field, or analytics related.
- A GRE/GMAT score is not required for application. However, a GRE/GMAT score may be requested at the department's discretion.
- A statement of purpose (one (1) page maximum) that summarizes your reason(s) for pursuing a Master of Science in Analytics, and your reason(s) for applying to LSU. It may be helpful to draw attention to your specific experiences and education that make you feel that you will be successful in your pursuit of advanced graduate study in this field.
Additional Information
Applicants should have a working knowledge of statistics prior to entering the program (e.g., expected value, random variable, sample mean, median, variance, margin of error, correlation coefficient, sampling distributions, and hypothesis testing.). Applicants should be comfortable with accessing and using basic statistics and analytics software packages. An updated Windows based laptop or computer is strongly recommended.
Additional information about LSU Graduate admission requirements are located here.
Flexible Schedule
Our program is built for busy adults with work and family commitments. Learn on your schedule with 24/7 access to course materials.
No required login times
Complete coursework when it works for you
Stay on track with weekly goals
Perfect for full-time workers and parents
Tuition
LSU programs offer competitive, flat-rate tuition with no out-of-state fees, making it easier to plan for the cost of your degree. You may also be able to save more by transferring eligible credits.
Tuition & Fees
- 36 credit hours
- Total credit hours per program
- $867
- Cost per credit hour
- $31,212
- Total cost with fees
The total cost above does not include transfer credit or financial aid. Cost per credit hour and fees are subject to change. Fee schedules may vary by program depending on course-specific fees for proctoring and/or books. Please contact a Student Success Coach for more information.
Financial Aid Available
LSU offers several ways to help you pay for your degree including credit for prior learning (PLA), financial aid, and veteran education benefits. Learn More.
Academics
Gain a strong foundation in business, finance, and accounting principles through coursework designed to build practical skills in areas like auditing, taxation, financial reporting, and data analysis.
What Will I Learn?
Students who graduate with an online MSA will earn valuable skills in business analytics, business intelligence, and information technology.
Topics covered in this degree program include:
- Structured query language (SQL)
- Business forecasting and applications
- Multivariate statistics
- Operations research
- Clustering and data-mining
- Design of experiments
- Predictive modeling
- Written and oral communication
- Presentation skills
- Visualization techniques
Courses
| Analytics Core | Credit Hours |
|---|---|
ISDS 7301: Descriptive Analytics |
3 |
ISDS 7302: Predictive Analytics |
3 |
ISDS 7303: Analytics Methods |
3 |
ISDS 7304: Visual Analytics |
3 |
ISDS 7070: Advanced Business Problems - Python |
3 |
ISDS 7510: Database Management |
3 |
ISDS 7024: Advanced Statistical Analysis |
3 |
ISDS 7103: Survey of Operations Research – Stochastic Methods |
3 |
ISDS 7075: Ind Readings - Business Forecasting & Applications |
3 |
ISDS 7990: Practicum |
3 |
ISDS 7070: Practicum |
3 |
*ELECTIVES: Choose ONE from BADM 7050/BADM 7401/BADM 7402/BADM 7403 |
3* |
Equipment Requirements
The laptop requirements below are set forth so that students may not have any issue loading data or software to their machine.
- Windows 10 Professional, Enterprise, or Education (Education is available through OnTheHub)
- 4 Core, X64, 64 Bit processor
- 16 GB RAM (16 recommended)
- 500GB Hard drive
- ATA 100/7,200 RPM hard drive is preferred but a 5,400 will work
- A graphics card supporting higher resolution than 1024×768 (32-bit). (1 GB dedicated, non-shared, memory card is recommended.)
By becoming familiar with the types of technologies taught in this program, students are given a head start in their field post-graduation. Apple Systems are not recommended as all software utilized in this course requires the Windows operating system. However, if you do decide to utilize an Apple computer you must have Windows (10 or higher) running prior to starting courses. This can be done through a partitioned hard drive or other means of split operating systems.
Careers
The MSA graduates are equipped with the skills and expertise to become leaders in top companies across all industries such as Chevron, Dow, Disney, IBM, and SAS.
The industry is predicted to grow by 31% by 2031 (source: BLS)
Source: Lightcast
Career Opportunities
- Data Analyst
- Data Scientists
- Management Analyst
- Operations Research Analyst
- Quantitative Analyst/ Modeler
- Market Research Analyst
Testimonials
The online MS Analytics at LSU provides students with an in-depth understanding of cutting-edge analytics techniques and technologies and the business acumen to apply them in various industries. Employers seek our graduates because they possess the skills and knowledge to extract actionable insights from complex data sets and drive informed decision-making. Whether you want to advance your current career or transition into a new field, the MS in Analytics can provide the tools to succeed in today's rapidly changing data-driven landscape.