Graduate Certificate Program
Business analytics provides one with the ability to integrate data to enhance a business’s competitive position, use technology to predict future market trends, enable data-based decision making, and to develop more effective reporting of relevant data for better business solutions. Through this certificate program students will explore: methods for identifying data patterns and trends that are reportable in meaningful reporting systems; application of mathematical statistics to describe, analyze, and forecast business data; and how businesses integrate analytics and predictive modeling into their decision–making models.
This program is ideal for adult learners, with fast-paced seven week courses that allow you to quickly gain career-enhancing skills. A graduate certificate in business analytics will be awarded upon successful completion of the required four courses.
- Complete the Application online
- A current resume
- Official high school or GED transcript
- Official transcript(s) from any college(s) you have attended
- $50 application fee
Successful applicants for admission to the Business Analytics Graduate Certificate should
- Be at least 22 years of age
- Have a minimum of a completed Bachelor’s Degree
- Length: 7 weeks
- CEUs: 2.1 per/course
- Cost: $750 per/course
- Applied Statistics
- Market Research and Decision Making
- Database Management for Business Analytics
- Data Mining
TBAN100 APPLIED STATISTICS
This course teaches quantitative methods used in data analysis, a key component of both the planning and evaluation of projects. Topics covered include: descriptive statistics, process control correlation and regression, hypothesis testing, and decision trees.
TBAN110 MARKET RESEARCH AND DECISION MAKING
This course provides prospective managers with an understanding of the skills to make effective use of formal quantitative and qualitative research.
TBAN120 DATABASE MANAGEMENT FOR BUSINESS ANALYTICS
This course is an introduction to database design and SQL. Topics include: introduction to normalization, database creation and maintenance, data loading, recovery planning, security, generating reports, and changing databases in response to business demands.
TBAN130 DATA MINING
This course introduces the major principles and techniques used in data mining from an algorithmic perspective. Students learn many of the lessons that statistics offers data mining and also how data mining differs from statistics. These tools are crucial for firms seeking ways to market their products and services more efficiently. Data mining topics include: classification, clustering, Simpson's Paradox and spurious correlation detection. Students will implement data mining using a DBMS. Prerequisite: Database Management for Business Analytics