In the future, the choice for leaders is clear; either use data effectively in forming strategy, solving problems, and supporting decisions, or do not lead.
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.
- You can begin the certificate in January, May, or August.
- All courses are delivered using Rensselaer’s digital classroom – the RensselaerStudio.
- Certificates are 9 credit hours, and can be completed in a year or less.
- Complete projects that address real-world business challenges.
- Master techniques and abilities that can be leveraged to elevate your role at work.
- Projects involve the context of your work, helping you to perfect your abilities while simultaneously providing value back to your employer.
- Faculty Practitioners provide industry expertise, advice, mentorship, and encouragement.
- Students have the option of completing just one certificate, or combining multiple certificates into a customized master’s degree.
- All certificates are offered for graduate-level credit, and require admission to Rensselaer’s graduate programs.
- Certificates are designed so that you can fully participate in classes from anywhere in the world.
The Business Intelligence Certificate requires three courses:
ENGR 6200: Data-Driven Decision Making - Frame questions and resolve problems using data wrangling techniques; employ models using linear/nonlinear multivariate methodologies; validate results and develop algorithms that can be used to make recommendations and forecasts.
See Data-Driven Decision Making Course Preview
ENGR 6215: Business Intelligence Analysis - Use visualization and cluster analysis to gain deeper insights into complex business relationships, including pricing decisions, customer and competitive analyses, financial forecasts, decision models, and organizational performance dashboards; then, tune models and adjust as underlying assumptions change.
See Business Intelligence Analysis Course Preview
ENGR 6216: Modeling Business Decisions - Working with a Faculty Practitioner 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, perform the analysis and present actionable results and recommendations back to your employer.
See Modeling Business Decisions Course Preview