Online Graduate Certificate in Analytics

Total credit hours per program: 12 credit hours

Cost per credit hour: $867

Total cost with fees: $10,404

• ISDS 7301 Descriptive Analytics | Credit Hours: 3
• ISDS 7302 Predictive Analytics | Credit Hours: 3
• ISDS 7303 Analytics Methods | Credit Hours: 3
• ISDS 7304 Visual Analytics | Credit Hours: 3

LSU Graduate School Requirements:

1. Bachelor’s degree from regionally accredited U.S. institution or equivalent from a foreign institution
2. GPA – 3.0 on all undergraduate work (or last 60 credit hours) and a 3.0 on any graduate work already completed
3. Official transcripts of all previous college or university work
4. 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:

1. Work experience in the field of analytics.
2. An undergraduate degree or certificate in a STEM field, or analytics related.
3. A GRE/GMAT score is not required for application. However, a GRE/GMAT score may be requested at the department's discretion.
4. 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.

• Data Analyst 
• ‎Data Scientist
• Analytics Manager
• Director of Analytics
• Chief Data Officer

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

Why choose LSU’s online Graduate Certificate in Analytics?

A certificate in analytics can help you advance your career by teaching you new skills or helping to strengthen your current skill set. With online, flexible formats and a strong support system, LSU Online makes it easier to earn your certificate while you balance home and work responsibilities.

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.