Helzberg School of Management - Analytics and Insights Certificates FAQs

Five, eight-week terms are offered throughout the year with entry points in August, October, January, March and June. 

On-campus classes meet one night per week from 5:45 to 9 p.m. Most classes meet in Conway Hall, home of the Helzberg School of Management.

Each student must complete an online application and have a bachelor’s degree (or higher) from an accredited institution. Official transcripts from your degree-granting institution is required and should be mailed directly from your school to:

Rockhurst University
Helzberg School of Management, Graduate Admissions
Conway Hall, Room 201F
1100 Rockhurst Road
Kansas City, MO 64110-2561

Electronic transcripts are also accepted and may be sent to gradbusiness@rockhurst.edu.

In addition to the required transcripts, a professional resume must also be submitted to gradbusiness@rockhurst.edu. The resume should detail professional work experience and include any relevant technical skills (Excel, SQL, Programming, etc.).

All analytics and insights certificate tracks are designed with you — the working professional — in mind. That’s why we offer both on-campus and online program options. On-campus classes meet after your workday ends in the evening, 5:45 to 9 p.m., once per week. With courses that are only eight weeks long, you’ll earn your certificate at a pace that works for you.

The alumni discount allows students to take one class each semester at a reduced tuition cost. Students taking advantage of this program may have up to three courses discounted each year. Interested students should deliver the completed alumni discount to their adviser. Students may register for a class two weeks before the term begins. If the class is full, students using the alumni discount will be unable to register. Alumni discounted courses must be paid for on the day of registration and are not eligible to be covered with federal student loans.  More information may be found here. 

The total 2018-19 certificate program cost is about $8,820, excluding technology fees, prerequisite credits and course materials. With the average cost of a master’s degree at more than $40,000, this certificate program is an affordable option that can lead you to success.

You are encouraged to use coursework to solve relevant business problems. We want you to use the programs and data relevant to your career as much as possible. If that’s not an option for you, don’t worry. We also offer the option of obtaining data sets from your Helzberg School instructors.

The Helzberg School of Management offers the following courses to get you ready for the Analytics and Insights Certificate programs:

• BIA 6201. Statistics and Machine Learning (2 credit hours)
  This intermediate level class covers multiple and logistic regression methods including correlation, residual analysis, analysis of variance, and robustness. These topics will be studied from a data analytic perspective using business examples. The class also explores multivariate models as they relate to problems encountered in data and text mining.  Prerequisite: Introductory statistics and knowledge of the R computing Language.
• BIA 6314. Databases for Analytics (2 credit hours)
  This course that details database design, normalization and query methods that are pertinent for analytics. Topics will include relational databases, SQL, data warehouse architecture, data marts and data lakes. Further investigation will include cloud computing options, APIs and emerging forms of databases. The emphasis is placed on the use of these infrastructures and architectures for analytics. Prerequisite: Introductory course in programming or computer science.
• BIA 6202S. Analytics & Computational Programming (2 credit hours)
  This is an introductory  course in programming in the Python and R languages. Fundamentals of program design, data types, control structures, use of external libraries, integrated development environments, and notebook computing environments will be covered. The full programming design cycle of problem analysis, data gathering, coding, debugging, maintenance, and documentation will be included.