Big Data Business Analytics

IS 5325

Run date: March 28th 2017 - June 7th 2017

business analytics

You're In Good Company

Joey Resturants
Electronic Arts
Mountain Equipment Coop
Joe Fresh
Plenty of Fish
Four Seasons
Why do it

Project Examples

Working in groups, graduate students in the Business Analytics program will carry out an analytics project from initial requirements analysis to final implementation by analyzing big data using machine learning algorithms and/or statistical models.

Past project examples include:

  • Data analysis with Alaskan AirlinesĀ 
  • Data analysis of King County (WA) real estate transactions
  • Home loan analysis using Freddie Mac data
  • Marketing analysis for Hawkeye Channel
  • Salary analysis for Payscale


Students will conduct an identification of problems, data sets, data pre-processing, building data mining/statistical models, and validation. They will provide a formal presentation of results at the end of the quarter and provide a 15+ page document along with their presentation slides.

Skills To Be Demonstrated

machine learningstatistics
Competitive Advantage

Competitive Advantage

You'll gain an unparalleled opportunity to evaluate future talent -- learning what they can bring to the table and what skills they have before you hire them to reduce onboarding costs and time.

Brand awareness

Brand Presence

Today's talent are tomorrow's managers, entrepreneurs, decision makers, and consumers of your products -- so capture their attention early on by engaging with them in an authentic way.

Millennial insight

Next Generation Insights

Gain a fresh perspective from top emerging talent by giving Millennials hands-on experience to find value for your organization.

Build Relationships

Build Relationships

Build strong relationships at local schools and with their students to ensure that you hire for cultural fit, while improving your community.


  • Be available for a quick phone call with the instructor to make sure everyone is on the same page.
  • Organization size of 500+ employees
  • Allocate one hour per week to answering student questions and providing information as needed (by email or phone) to support their work
  • Provide any data the students will require for their analyses
  • Provide a Riipen skill rating on student performance upon completion of the project.
  • Create a free organizational profile on Riipen (if you do not already have one).
  • Complete a 30-second exit survey.
  • Pay a $500.00 participation fee to Riipen if approved by the instructor and successfully matched to students.