Online Graduate Certificate in Analytics
The Stephenson Department of Entrepreneurship & Information Systems offers an online graduate certificate in analytics. The purpose of this certificate is to respond to the need for retraining professionals, scientists, and researchers in the use of big data and to provide credentials for having completed a set of related courses.
This certificate provides working professionals with the skills needed to understand and use available technology to gain insights into data. The objective of this new certificate program is to train non-traditional students, enhancing their career opportunities and increasing their productivity in industry and government.
A Graduate Certificate in Analytics can be obtained by earning a minimum grade point average of 3.0 in the four analytics courses (12 hours) listed below. Each class is taught online for seven weeks and earns three credit hours. While there are no prerequisites to these courses, admission to the graduate school is required and an introductory course in statistics and information systems is recommended before enrolling in the course sequence.
ISDS 7301 Analytics I (3)
Catalog Description: Prereq.: None. Data warehousing; use of big data in business; storage and retrieval of data in business; descriptive analytics for business; business intelligence tools.
Details: The aim of this course is to provide the student with an understanding of several business intelligence techniques and to provide some insight into how these tools may be used to analyze data. Laptops will be used extensively throughout the course, primarily by using available programs to capture, maintain, extract, and analyze data. The programs to be studied include SQL Server Express, and PowerPivot.
Business Intelligence rests on the foundation of data storage, retrieval, manipulation, and dissemination. SQL Express will be used to demonstrate concepts of normalization, database queries and views. Next, student will be introduced to Microsoft PowerPivot for self service Business Intelligence. Utilizing Excel 2013 we will focus on building Tabular models and creating pivot tables & charts.
ISDS 7302 Analytics II (3)
Catalog Description: Prereq.: None. Predictive analytics in business; business cases in predictive analytics; data mining use in business; industry solutions for predictive analytics.
Details: This course focuses on business applications for predictive analytics. Predictive analytics includes data mining techniques that can be used to predict dichotomous or continuous outcomes.
Examples include, how can a credit company predict who will default on a loan, how can a wireless service provider predict who is switching providers or how can Target predict what customers will likely need diapers soon?
This introductory course will use JMP from SAS to develop models and assess the predictive power using ROC curves, sensitivity, specificity as well as error rates including false positive, false negative and total error rates.
ISDS 7303 Analytics III (3)
Catalog Description: Prereq.: None. Advance analytics in business; dimension reduction methods; use of designed experimentation techniques in business; business cases.
Details: Topics include regression, forecasting, design of experiments, cluster analysis, text analysis, market basked analysis and uplift models. Examples include credit card companies wanting to determine the best selection of mail ad, a marketing department interesting in the best choice of a web ad, or a car dealership wanting to select the best choice of financing offers for used cars. Students will use JMP from SAS to perform all the tasks.
ISDS 7304 Analytics IV (4)
Catalog Description: Prereq.: None. Data analytics; value proposition of data in business; advanced business intelligence; data visualization; dashboards in business.
Details: Data visualization focuses on creating effective graphs to properly communicate data insights for stakeholders. The course will use Tableau software to properly create visualizations and combining those visualizations into interactive dashboards. Topics covered include connecting to data, visual analytics, calculations, mapping, dashboards, and stories. This course works towards preparing students for the Tableau Desktop Certification.
Certificate cost is $832 per credit hour (including university fees).
Entry can be made in any of the 6 modules (Fall, Spring, or Summer).
Application deadline/start date:
|Module Start Date LSU A&M||Application Deadline|
|1st Fall September 2, 2019||August 19,2019|
|2nd Fall October 28, 2019||October 14, 2019|
|1st Spring January 13, 2019||December 30, 2019|
|2nd Spring March 9, 2020||February 24, 2019|
|1st Summer May 11, 2020||April 27, 2020|
|2nd Summer July 6, 2020||June 22, 2020|
|1st Fall August 31, 2020||August 17, 2020|
|2nd Fall October 26, 2020||October 12, 2020|
Apply online at the Graduate School web site.
- Select "Degree Seeking"
- Choose your state, select "Information Systems and Decision Sciences - Analytics - Certificate (Online)", and select your semester to begin.
Application requirements are:
|Entry date:||Indicate First Fall 2019 for the semester of admission. Students are admitted for the fall semester ONLY.|
|Deadlines:||Application deadline: July 29, 2019
Registration & payment deadline: August 19, 2019
Last day to add classes: August 30, 2019
|Application fee:||The non-refundable application fee is $50 for U.S. citizens and $70 for all other applicants.|
|Personal information:||Name, address, phone number, email, DOB, etc.|
A bachelor's degree from an accredited U.S. college or university or its foreign equivalent with a minimum GPA of 3.0 on all undergraduate and graduate work already completed. You must provide transcripts for all of the colleges you have attended (regardless of degree completion) and upload copies with your application. Only admitted applicants will be required to send one sealed copy of official transcripts from EACH college and university attended, issued by the institution directly to:
Louisiana State University
|Recommendations:||Contact information for three academic and/or professional references.|
|Statement of purpose:||One page statement of how analytics fits into your short and long-term career goals.|
|Resume:||Include a current resume or curriculum vitae.|
|Entrance exam:||If you do not meet the 3.0 GPA requirement and have less than 2 years relevant work
experience, please submit either a GRE or GMAT test score.
Official test scores can be submitted using institution code 6373.
|International applicants:||Applicants in the US on a student visa are not eligible for online programs.
See requirements for international applicants at LSU Online.
|Financial aid:||Visit the Gainful Employment Rule website for more information.|