Sixteen months of inspiration

The full-time Master of Business Analytics curriculum provides you with a solid foundation in advanced business analytics techniques while providing you with the time to develop and explore your interests through electives, an internship experience, and experiential learning opportunities. Whether you're learning how to use R for advanced analysis, improving your data visualization skills, or helping provide insights and recommendations to a real business, the full-time business analytics curriculum will challenge and inspire you.

Experiential learning in business analytics

Apply the theory and techniques you learn in the classroom to actual business problems. Whether it’s consulting for an international brand, helping a data-intensive tech startup innovate, or interning on an established analytics team, the Business Analytics program at Tippie provides the resume-building experiences you need to connect the dots between classroom theory and real-world application.

Student consulting

Solve business problems for real clients and build your resume through the program's capstone course.

Intern on balcony

Complete an analytics internship over the summer or work with our world-class faculty on a research project.

case competition students

Compete with nation’s top schools and showcase your analytics chops at the Tippie Analytics Case Competition.

Full-time recommended plan of study

The full-time Master of Business Analytics plan of study spans sixteen months of core courses, internships, and electives. We encourage at least one elective in every semester to help you develop deeper expertise in areas that help you stand out from the crowd.

Summer

  • Summer Internship or Research Experience

Courses

Core courses in business analytics

Business Analytics (MSCI:9100 or MBA:8150)

  • What's the sales value of a home in Des Moines? Create a price prediction model using market data.
  • What are the costs and benefits of bringing a pharmaceutical drug to market? Analyze the situation using structured decision analysis.
  • How many flu shots should be ordered for a clinic during an epidemic? Maintain high-quality service even in the face of substantial uncertainty.

Data Management and Visual Analytics (MSCI:6050)

  • Which zip codes had the highest increase in sales within a product category? Convert data needs into SQL queries and integrate SQL in an interactive visualization.
  • How can a nonprofit track donor engagement to provide more personalized and targeted promotional materials? Answer a business problem using data stored in a database management system.
  • Can I create an online dashboard for team KPIs? Transform live data into metrics using SQL queries and choose appropriate visualizations for query outputs.

Advanced Analytics (MSCI:9110)
Prerequisite: Business Analytics (MSCI:9100 or MBA:8150)

  • How did the 2001 terrorist attacks impact travel patterns and behavior in the United States? Determine hypothetical trends if the attacks had not happened using time series analysis.
  • How can I create an index fund to track a particular financial sector? Solve an optimization model to choose a representative sample of companies in which to invest.
  • How do companies use analytics? Present a case study of a large company using analytics successfully.

Data Programming in R (MSCI:6060)

  • How do I automatically integrate sales data from separate data sources? Design a step-by-step procedure for solving a problem and then code it using the open-source R environment.
  • How can I download quarterly financials for multiple companies? Use advanced R features that extract data from websites.
  • Do customers who buy Product X also tend to buy Product Y? Write simple data-mining procedures that find associations and execute them repeatedly.

Data Science (MSCI:6070)
Prerequisite: Business Analytics (MSCI:9100 or MBA:8150)

  • Will this stock price go up or down tomorrow? What about in the next 5 seconds? Identify opportunities for profitable trades.
  • Which of these people is most likely to respond to a direct marketing contact? Segment your customers for better targeting, and identify the most promising new leads.
  • What kind of approach might move a donor to a higher giving level? Conduct a design of experiments to gather the most information from your trial marketing campaign.

Analytics Experience (MSCI:6120)
Prerequisite: At least one Master's elective

  • The knowledge you've gained in the program, particularly in the core courses, will culminate in a group project and/or competition that solves a real-world business problem. Groups may partner with an area business.

Business Communications (MBA:8130)

  • Effective communication to become a successful business professional and leader; strengthen ability to speak and write confidently, competently, and effectively, regardless of venue; varied team and individual presentation coaching, applied exercises. Full-time Business Analytics students are required to take this course for three semesters.  (1 s.h. each semester)

Elective courses in business analytics

Financial Analytics (MSCI:6150)
Prerequisite: Business Analytics (MSCI:9100 or MBA:8150) and Data Programming in R (MSCI:6060 or MSCI:9060)

  • How can business measure risk in the face of fluctuating treasury bond rates, equity prices, and foreign exchange rates? Learn the classical financial models and statistical and risk metrics, and scale them up with analytics techniques to find the best investments.

Text Analytics (MSCI:6100)
Prerequisites: Data Programming in R (MSCI:6060 or MSCI:9060) and Advanced Analytics (MSCI:9110) or Data Science (MSCI:6070)

  • How can I convert unstructured emails, tweets, blogs, customer reviews, etc. into insights? Learn how to identify relevant sources, harvest the data, manage large databases, and use techniques to change words into quantifiable metrics.

Big Data Management and Analytics (MSCI:6110)
Prerequisite: Data Management and Visual Analytics (MSCI:6050 or MSCI:9050) and Data Programming in R (MSCI:6060 or MSCI:9060)

  • What if my data set is too large to be handled by a single computer? Explore new concepts and technologies instead of traditional relational databases.

Digital Marketing Strategies and Analytics (MKTG:9165)
Prerequisite: Business Analytics (MSCI:9100 or MBA:8150)

  • How can I translate data into marketing strategy? Examine applications for product forecasting, product development, promotional strategy, online marketing, and customer databases.

Applied Optimization (MSCI:6130)
Prerequisites: Business Analytics (MSCI:9100 or MBA:8150) and Data Programming in R (MSCI:6060 or MSCI:9060)

  • How do we use optimization (also called prescriptive analytics or mathematical programming) to make tactical and strategic decisions? Learn advanced optimization skills including data collection and prep, logical modeling, and solution interpretation and implementation within a software environment.

Information Visualization (MSCI:6140)
Prerequisites: Business Analytics (MSCI:9100 or MBA:8150) and Data Programming in R (MSCI:6060 or MSCI:9060)

  • How do I make my data digestible for others in my organization by presenting it visually?
  • Which type of data graphic should I use in a given situation, and what makes each graphic type unique?
  • How does human perception affect how my data should be presented?
  • Which statistical methods can help me visualize information?

Big Data Analytics (MSCI:6160)
Prerequisites: Business Analytics (MSCI:9100 or MBA:8150) and Data Programming in R (MSCI:6060 or MSCI:9060)

  • Once I have captured tons of data, what types of analysis can I perform to gather the insights within the data?
  • How can I reduce big data down to something more manageable?
  • How can I use modern computer hardware, e.g., GPU's, to handle big data?

Healthcare Analytics (MSCI:6180)
Prerequisite: Business Analytics (MSCI:9100 or MBA:8150) and Data Management and Visual Analytics (MSCI:6050 or MSCI:9050)

  • How do I maintain an electronic-medical-records system that supports high quality patient care?
  • What statistical methods are appropriate for healthcare applications?

Supply Chain Analytics (MSCI:9160)
Prerequisites: Business Analytics (MSCI:9100 or MBA:8150)

  • How can I take a data-driven approach to supply chain management?
  • What are the best tools and techniques for forecasting demand?
  • How can advanced analytics be used to manage inventory?
  • What does it mean to share risk across the supply chain?