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Indiana University Bloomington

Exectutive Degree Programs

Executive Degree Programs

Kelley School of Business
1275 E. 10th St.
Bloomington, IN 47405
812-856-5366
edp@indiana.edu

Next Available Program Date:
March 10, 2014

Application Deadline:
February 10, 2014

No GMAT/GRE required

Business Analytics Certificate Program

The Business Analytics Certificate Program provides working professionals with the knowledge and skills needed for contemporary business analytics. 

Business Analytics is the combination of skills, technologies, applications and processes used by organizations to gain data-driven insights. These insights can be used to aid decision-making across functions including finance, marketing, and operations.

Who should apply?

This certificate is geared towards entry to middle level management and technology professionals.

Program Structure and Delivery

The program will be delivered in a blended format with face-to-face instruction, video conferencing, and web-based learning.

  • Typical program duration is 12 months
  • The program consists of four courses, taught sequentially
  • Duration of each course is 12 weeks
  • No in-residence required

Certificate Credits - 12 Credit Hours

  • The BA certificate will be issued by Indiana University
  • Up to 12 credits could be transferred to the Kelley School of Business Executive MBA program or the MSIS graduate degree program (subject to admission requirements)

Courses

All four required courses are three-graduate credit hours and twelve weeks in duration

1. Introduction to Business Analytics

  • The course will focus on the business analytics process
  • Topics covered include problem definition, data preparation, technical analysis and modeling, evaluation of results, implementation, and deployment
  • Students will perform basic analytics tasks with IBM SPSS Statistics, IBM SPSS Modeler, @Risk, and Premium Solver

2. Data Warehousing & Visualization

  • This course focuses on realizing the business advantage of utilizing data to support managerial decisions
  • An overview of the variety of software tools that are employed in the development of a data warehouse, including ETL (extraction, transformation and loading) and analytics tools
  • Topics covered include identification of types of business risks and methods of alleviating the risks associated with implementing informational systems
  • The course addresses issues related to data governance
  • Hands-on exercises include dimensional modeling, MS-Excel, MDX, Tableau, and IBM’s ManyEyes

3. Simulation and Optimization for Business Analytics

  • Develop analytical models using simulation and optimization to analyze and recommend sound solutions to complex business problems
  • Develop models to provide solutions to operational problems in various business functional areas including finance, economics, operations, and marketing
  • Solve complex problems using various tools on spreadsheets; including Excel solver for linear and integer programming problems, @RISK for probabilistic simulations, and risk analysis
  • Undertake input and output statistical analysis for simulation models
  • Solve complex optimization problems using the ILOG-CPLEX package

4. Developing Value through Business Analytics Applications

  • Understand how various analytical techniques and tools are used to analyze complex business problems and derive business value for applications
  • Apply analytical techniques to various retail and marketing problems; including determining customer value and using the concept to aid in business decision making by allocating marketing expenditures between customer acquisition and customer retentions (Marketing Analytics)
  • Apply EXCEL financial functions (XIRR, XNPV, FV, PV, PMT, CUMPRINC, and CUMIPMT) and develop models to solve financial problems on spreadsheets (Financial Analytics)
  • Develop inventory models under uncertainty including service level and reorder point models for supply chains (Supply Chain Analytics)
  • Deploy analytics, such as aggregate planning models in production planning and scheduling (Operations Analytics)
  • Use Data Envelopment Analysis (DEA) in solving various healthcare problems (Healthcare Analytics)