Rensselaer's Education for Working Professionals

Business Intelligence Graduate Certificate


275 Windsor Street

Hartford, CT 06120

United States



Program Information

Degrees Offered:

Business Intelligence Graduate Certificate

Format: Online

Program Description:

Engineering and business leaders must use data effectively to form strategy, solve problems, and support key decision making. It’s no longer an option. Operating conditions change quickly while intelligence accumulates mostly unused in every part of an organization. Now is the time to construct strategy around informed decisions you champion. The Business Intelligence Graduate Certificate prepares you to model the operation accurately, differentiate true intelligence from “hunches”, turn unknowns into knowns, and make the best use of data possible.

Certificate Information

  • You can begin the certificate in January, May, or August
  • Each course is 3 credit hours, the certificate is 3 course, 9 credit hours to complete
  • The certificate’s blended online delivery reflects today’s dynamic workplace
  • Practitioner faculty guide the completion of project work that relates to your career objectives
  • The program results in a graduate level Certificate in Business Intelligence from Rensselaer Polytechnic Institute
  • Courses are taken for credit, and successful completion requires a GPA of 3.0 or greater
  • As each of the courses build upon prior courses, courses must be taken in sequence.
  • Students completing the Business Intelligence certificate are not eligible to complete the Production Analytics (PAH) or Health Analytics (HAH) certificates
  • Students may choose to complete multiple certificates, or apply certificates to other degree programs, according to each program’s requirements (for eligible programs, see program web site

Course Coverage:

The Business Intelligence Certificate requires three courses:

ENGR 6200: Data-Driven Decision Making - Frame questions and resolve problems using data wrangling tools to prepare methods for analysis; employ models using linear/nonlinear multivariate methodologies using R, Python and Excel; validate results and develop algorithms that can be used to make recommendations and forecasts; and, work with stakeholders to scope and frame questions and problems so that actionable results can be achieved.

ENGR 6215: Business Intelligence Analysis - Use visualization and cluster analysis tools to gain deeper insights into complex business relationships; apply data analytic process to real-world business problems and questions, including pricing decisions, customer analysis, competitive analysis, financial forecasts, customer decision models, organizational performance dashboards; and, tune models to represent current-state and adjust them as underlying assumptions change.

ENGR 6216: Modeling Business Decisions - Working with a faculty member as your mentor, develop a big data inquiry model for a complex business issue, question or problem of your choice. Over the semester, frame the question to be analyzed, collect and prepare business data for analysis, perform the analysis and present actionable results and recommendations back to your employer.


Middle States Commission on Higher Education (MSCHE) The Accreditation Board of Engineering and Technology (ABET) The Association to Advance Collegiate Schools of Business (AACSB) The National Architectural Accrediting Board (NAAB)

Facts & Figures

Classification: Specialized Institution—School of engineering and technology

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