Business Analytics Certificate

About the MIT Sloan Business Analytics Certificate

Competency in analytics – the ability to ask the right questions, parse large quantities of structured and unstructured data, translate analytic insights into actions and influence key business decisions – is an essential skill needed to be successful within modern organizations. In response to the growing demand from students to dive deeper into analytics and data science, MIT Sloan launched the Business Analytics Certificate.  

Benefits
  1. Receive a Certificate in Business Analytics from MIT Sloan indicating your knowledge of analytic fundamentals.
  2. Join a cohort and extended community of passionate and dedicated leaders, with access to alumni at multiple events throughout the year.
  3. Tailor your education to your professional goals.
Open to All Current Graduate Students at MIT

If you are not a current student, you can explore other certificate options below:

Certificate Requirements

To obtain the Certificate, students must complete the three Core requirements and a minimum of 27 credits of Analytics electives.

Please note that the below requirements pertain to all graduate students at MIT pursuing the Business Analytics Certificate

Analytics Core (21 Units):

—Part 1: Technical Analytics Core (Choose 1 of the below)

Course Title
15.071 Analytics Edge Spring 12 Cr.
15.072 Advanced Analytics Edge Fall 12 Cr.
15.727 The Analytics Edge (EMBA Only) Spring 9 Cr.
15.774 The Analytics of Operations Management Fall 12 Cr.
6.7900 Machine Learning Fall 12 Cr.

—Part 2: Analytics Core (2 required courses)

Course Title Term
15.286 OR 15.721 (EMBA & SF MBA only, IAP, 3 Units) Communicating with Data OR Communication and Persuasion through Data For Executives Spring 6 Cr.
15.775 Analytics Proseminar Spring 3 Cr.

A course cannot be counted for both the Core and Elective. For example, if 15.071 is selected for the core, it cannot also count as an elective.

Analytics Electives (27 Units):

Complete a minimum of 27 units from the list below. Courses must be taken from at least two different academic groups.

Please note that the below requirements pertain to all graduate students at MIT pursuing the Business Analytics Certificate.

—Behavioral Policy Sciences (BPS)

Course Title
15.236 Global Business of Artificial Intelligence and Robotics (GBAIR) Spring 6 Cr.
15.669 Strategies for People Analytics Fall 6 Cr.

—Economics

Course No. Course Title Term Credit
15.034 Econometrics for Managers: Correlation & Causality in a Big Data World Spring 9 Cr.

—Finance

Course Title
15.450 OR 15.457 Analytics of Finance OR Advanced Analytics of Finance Spring 12 Cr.
15.456 Financial Engineering Fall 9 Cr.
15.458 Financial Data Science and Computing Fall 9 Cr.
15.481J/6.9350J Financial Market Dynamics and Human Behavior Spring 9 Cr.
15.S08 Practice of Finance: Advanced Data Analytics and Machine Learning in Finance Fall 9 Cr.

—Information Technology

Course No. Course Title Term Credit
15.572 Analytics Lab: Action Learning Seminar on Analytics, Machine Learning, and the Digital Economy (application required) Fall 9 Cr.

—Law

Course No. Course Title Term Credit
15.622 The Law of AI, Big Data & Social Media Fall 6 Cr.

—Managerial Communication

Course No. Course Title Term Credit
15.285 Sports Strategy and Analytics Spring 6 Cr.

—Marketing

Course Title Term
15.570 Digital Marketing and Social Media Analytics Fall 6 Cr.
15.818 Pricing Fall 6 Cr.

—Operations Management

Course Title
15.731 Risk Management (EMBA and SF MBA only, IAP) Spring 3 Cr.
15.734 (EMBA only) OR 15.778 (SF MBA only) Introduction to Operations Management Summer 9 Cr.
15.761 Introduction to Operations Management Fall 9 Cr.
15.762 Supply Chain: Inventory Analytics Spring 6 Cr.
15.763 Supply Chain: Capacity Analytics Spring 6 Cr.
15.764 The Theory of Operations Management Spring 12 Cr.
15.770J Logistics Systems Fall 12 Cr.
15.774 Analytics of Operations Management Fall 12 Cr.
15.785 OR 15.786 Digital Product Management OR Digital Project Management with Lab Spring 6 Cr.
SCM.256 Data Science and Machine Learning for Supply Chain Management Spring 12 Cr.

—Operations Research and Statistics

Course Title
15.062J Data Mining: Finding the Models and Predictions that Create Value Fall 6 Cr.
15.068 Statistical Consulting Spring 9 Cr.
15.071 OR 15.072 Analytics Edge OR Advanced Analytics Edge Spring 12 Cr.
15.077J Statistical Learning and Data science Spring 12 Cr.
15.083 Integer Optimization Spring 12 Cr.
15.093J Optimization Methods Fall 12 Cr.
15.094J Robust Modeling, Optimization & Computation Spring 12 Cr.
15.095 Machine Learning Under an Optimization Lens Fall 12 Cr.
15.727 The Analytics Edge (EMBA only) Spring 9 Cr.
15.729 Leadership: Quantitative and Qualitative Approaches (LQ^2) - (EMBA and SF MBA only) Spring 3 Cr.
15.S04 SSIM: Hands-On Deep Learning Spring 6 Cr.
15.S08 SSIM: Optimization of Energy Systems Spring 12 Cr.
15.S51 Innovation Through Analytics and Sensing in Food and Agriculture Systems (EMBA and SF MBA only) Winter 3 Cr.
6.7900 Machine Learning Fall 12 Cr.
6.7930J Machine Learning for Healthcare Spring 12 Cr.
6.8300 Advances in Computer Vision Spring 12 Cr.
6.C51 Modeling with Machine Learning: from Algorithms to Applications Spring 6 Cr.

—Systems Dynamics

Course Title
15.737 Advanced System Dynamics (EMBA and SF only, IAP) Spring 3 Cr.
15.873 System Dynamics for Business and Policy Fall 9 Cr.

—Technological Innovation, Entrepreneurship, and Strategic Management

Course No. Course Title Term Credit
15.376J AI for Impact: Solving Societal-Scale Problems Spring 9 Cr.
Registration for the Certificate

The Business Analytics Certificate is open to currently enrolled MIT graduate students enrolled in any MIT masters and PhD-level programs (e.g., MBA, EMBA, MFin, SFMBA, LGO, SCM, SDM, TPP, etc.).

Please note that the above requirements pertain to all graduate students at MIT pursuing the Business Analytics Certificate.

Students who want to enroll in the Business Analytics Certificate should complete the online enrollment form.

Contact the Business Analytics office to learn more.