Online Graduate Certificate in Analytics from LSU
Gain hands-on experience using data analysis techniques for real-world business applications.
Build analytics and big data skills designed for professionals retraining or expanding their technical expertise.
Complete a flexible, fully online program that fits into your career and can be finished in under one year.
Respected
Offered through the Stephenson Department of Entrepreneurship & Information Systems in the E. J. Ourso College of Business
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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
Admissions Requirements
LSU Graduate School 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.
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 Graduate Certificate 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.
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.
Tuition
LSU offers competitive, flat-rate tuition with no out-of-state fees. Plus, you may be able to save even more by transferring up to 75% of previous credits.
Tuition & Fees
- 12 credit hours
- Total credit hours per program
- $867
- Cost per credit hour
- $10,404
- Total cost with fees
LSU Online offers several ways to help you pay for your degree including credit for prior learning (PLA), financial aid, and veteran education benefits. Learn more.
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
This online certificate program is ideal for retraining professionals, scientists, and researchers in the use of big data, and can be completed in less than a year.
Courses
| Credit Hours | |
|---|---|
ISDS 7301 Descriptive Analytics |
3 |
ISDS 7302 Predictive Analytics |
3 |
ISDS 7303 Analytics Methods |
3 |
ISDS 7304 Visual Analytics |
3 |
What will I learn?
Students who graduate with an online Graduate Certificate in Analytics will acquire the skills needed to understand data insights using available technology.
Topics covered in the program include:
- Data warehousing; use of big data in business; storage and retrieval of data in business; descriptive analytics for business; business intelligence tools
- Predictive analytics in business; business cases in predictive analytics; data mining use in business; industry solutions for predictive analytics
- Advanced analytics in business; designed experimentation; regression trees; causal inference; uplift models
- Data analytics; value proposition of data in business; advanced business intelligence; data visualization; dashboards in business
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
This online certificate program is ideal for retraining professionals, scientists, and researchers in the use of big data, and can be completed in less than a year.
Career Opportunities
- Data Analyst
- Data Scientist
- Analytics Manager
- Director of Analytics
- Chief Data Officer
