Business Analytics Certificate

Course Requirements

To obtain the Certificate, students must complete the three Core requirements, two electives, and one Action Learning class with analytics component.


  • Core Requirement 1:

    Students must take ONE of the following (12 units each):

    • 15.071 (EMBA: 15.727): The Analytics Edge
    • 15.774: Analytics of Operations Management
    • 6.844: Artificial Intelligence
    • 6.862: Machine Learning
    • 6.867: Applied Machine Learning
    • 2.884: Process Data Analytics and Machine Learning
    • 6.S976: Engineering Leadership in the Age of AI
  • Core Requirement 2:

     15.286 (EMBA: 15.S72) Communicating with Data (6 units)

    15.S72 Communicating with Data 

  • Core Requirement 3:

    15.775 Analytics Proseminar (3 units) 

  • Electives

    Students must complete two courses, each from a different group listed below:

    • Behavioral and Policy Sciences: 15.304, 15.662, 15.669, 15.S14, 11.383
    • 15.S06 SSIM Innovation Analytics 
    • Economics: 15.034
    • Finance: 15.450, 15.456, 15.457, 15.458, 15.459, 15.S08
    • Marketing: 15.570, 15.841
    • Operations Management: 15.731, 15.761 (EMBA: 15.734), 15.762/63, 15.764, 15.774, 15.777, 15.778, 15.784, 1.273,1.274,1.271, IDS.735, IDS.736, IDS.250 
    • Operations Research/Stat: 15.062, 15.068, 15.071 (EMBA 15.727), 15.075, 15.077, 15.093, 15.S56*,15.727, 15.095, , 15.S56, IDS145, IDS.013, IDS.147, IDS.200, 6.255
    • System Dynamics: 15.872 (NOT 15.87), 15.873,  15.736 (EMBA, only if all technical modeling assignments are completed
    • The core required courses can also qualify as electives, if not selected for the core

    • Additional Options (non Sloan electives)

    • 15.THG Graduate Thesis 

    • 1.233 or 16.763 Air Transportation Operations Research 

    • 1.275 or IDS.305 Business and Operations Analytics 

    • 6.439 or IDS.131 Statistics, Computation and Applications

    • 6.862 or 6.867 machine Learning 

    • 6.883 Modeling with machine Learning 

    • 6.860 or 9.520 Statistical Learning Theory Applications

    • 6.899 or 6.996 Special Studies: Artificial Intelligence 

    • 15.961 Independent Study 

    • IDS.333 Risk and Decision Analysis 

    • A thesis or Independent Study focused on analytics can also qualify as an elective. The Business Analytics Office will review the proposal and final deliverable to ensure compliance with the requirements of the Business Analytics Certificate. Please, contact the Business Analytics Office with any questions.

      Other electives, especially outside of course 15, may be approved. Please, fill out a petition form to have a class reviewed by the Business Analytics office for consideration as an elective.

  • Action Learning Elective with Analytics Content

    Students must take one course from the list below:

    • 15.572 Analytics Lab*
    • 15.961 Independent Study*  (15.960 may not be submitted) 
    • 15.THG Graduate Thesis*
    • 15.784 Operations Lab*(Project with analytics focus)
    • Other Action Learning courses (e.g. E-Lab, S-Lab) with a project focused on analytics can qualify as well.*
    • For MFin students, enrolling in a FRP course with analytics focus will satisfy the action learning requirement.*
    • 15.071, 15.774 or 15.570 can be used as substitutes to an Action Learning class with Analytics focus if they are not already counted as Core or Elective class (i.e. cannot double count a class). Project output for 15.570 will need to be submitted for review by filling out the Action Learning Project Submission form. Other classes with significant analytics project component can be considered on a case by case basis by filling out the petition form

    *For a project to qualify for the Certificate, it must involve building predictive (e.g. regression, classification models) or prescriptive (e.g. optimization, inventory models) models. Students can contact the Business Analytics office to determine if and how their project can qualify for the Certificate. They should submit a short document (memo or slides, e.g. appendix or separate section of final deliverable) by filling out the Action Learning Project Submission form upon completion of the project. The document should describe the analytical component of the project, including a description of the analytical problem to be solved, the exploratory data analysis, the model selection, training and testing, and the performance of the model.

  • Optional Recommended Course

    15.S60: Computing in Optimization & Statistics (3 units Pass/Fail, taught during IAP only)

  • Additional Programming Resources

    Some classes require programming, usually in R or Julia. To better prepare themselves or to qualify for such classes, students can contact the Business Analytics Office for guidance.