Our Certificate in Analytics and Insights is a 12-credit program that helps you understand, create, monitor, and evaluate analytics. Businesses across all industries desperately need these skills today. Choose a track in Data Science, Business Intelligence or Health Analytics and complete the program with the option to apply your credits toward the MSBIA later.
Data Science: Why Analytics and Insights?
The need for qualified professionals who can understand, create, monitor, and evaluate data analytics is high and growing rapidly. At one time a McKinsey Institute analysis predicted there would be a shortfall of 140,000 to 190,000 candidates with deep analytical talent, plus a need for an additional 1.5 million data-savvy managers by 2018.
Gaining experience starts with experienced faculty. Here, you’ll learn from doctoral-level, full-time professors from the AACSB-accredited Helzberg School of Management, along with practicing experts.
Points of Entry
With five points of entry, students may begin a certificate program in early January, mid-March, late-May, mid-August, or mid-October.
At this time it is not possible to receive more than one Analytics and Insights Certificate or to complete more than a single track within the Analytics and Insights Certificate. Students are welcome to enroll in additional courses, but only one certificate will be issued.
Students take six eight-week courses to complete the program. Online classes feature video lectures and weekly assignments. If students take one course per eight-week session, they will complete the Analytics and Insights Certificate in about 15 months.
Common Core Curriculum, 6 credit hours
- Business Intelligence, BIA 6300 (2 credit hours)
- Applied Data Mining, BIA 6301 (2 credit hours)
- Data Visualization, BIA 6302 (2 credit hours)
Business Intelligence Track, 6 credit hours
- Web and Social Media Analytics, BIA 6306 (2 credit hours)
- Performance Metrics and Dashboards, BIA 6307 (2 credit hours)
- Analytics and Strategy, BIA 6308 (2 credit hours)
Rockhurst University’s Helzberg School of Management prefers the following 6 credit hours of prerequisites are taken prior to Applied Data Mining, BIA 6301, a core course within the curriculum.
- Statistics and Machine Learning, BIA 6201 (2 credit hours)
- Databases for Analytics, BIA 6314 (2 credit hours)
- Analytics & Computational Programming, BIA 6202S (2 credit hours)
About the School
Rockhurst University transforms lives by creating a learning community centered on excellence in education. We are Catholic and Jesuit and involved in the life and growth of Kansas City and our region ... Read More