Health Analysis Certificate

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.

Experienced Faculty

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.

Curriculum

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)

Health Analytics Track, 6 credit hours

• Health Systems, HC 6150 (2 credit hours)
• Health Information Technology, HC 6400 (2 credit hours)
• Quality Improvement in Health Care, HC 6350 (2 credit hours)

Prerequisites

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)