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.  

  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 EXCEPT for EMBA students. If you are an EMBA student, please consult with your academic advisor for Certificate requirements.

Core Requirements:
15.071/72 – Analytics Edge/Advanced Analytics Edge (Spring or Fall, 12 units) OR                      15.774 – Analytics of Operations Management (Fall, 12 units)
15.286 – Communicating with Data (Spring H3 or Spring H4, 6 units)
15.775 – Analytics Proseminar (Fall H1 or Spring H3, 3 units)

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

Behavioral Policy Sciences (BPS)
15.236 – Global Business of Artificial Intelligence and Robotics (Spring, 6 units)
15.662 – People and Profits: Shaping the Future of Work (Spring H3, 6 units)
15.669 – Strategies for People Analytics (Spring H4, 6 units)
15.S06 – Innovation Analytics (Spring H4, 6 units)

15.034 – Econometrics for Managers (Not offered Spring 22, 9 units)

15.450 – Analytics of Finance (Spring, 12 units)
15.456 – Financial Engineering (Fall, 9 units)
15.457 – Advanced Analytics of Finance (Not offered Spring 22, 12 units)
15.458 – Financial Data Science and Computing (Fall, 9 units)
15.481 – Financial Market Dynamics and Human Behavior (Spring, 9 units)
15.S08 – Advanced Data Analytics and Machine Learning in Finance (Fall H2, 6 units)

Information Technology
15.376J - AI for Impact (Spring, 9 units)                                                                                            15.572 – Analytics Lab (Fall, 9 units) – application required

15.622 – The Law of AI, Big Data & Social Media (Spring, 6 units, P/D/F)

Managerial Communication
15.285 – Sports Strategy and Analytics (Spring H4, 6 units)

15.570 – Digital Marketing and Social Media Analytics (Fall H2, 6 units)
15.818 – Pricing (Fall H1, 6 units)
15.819 – Marketing Analytics (Spring, 9 units)

Operations Management
15.761 – Introduction to Operations Management (Fall or Spring, 9 units)                                      15.778 – Introduction to Operations Management (Sloan Fellows only, Summer, 9 units)
15.762 – Supply Chain Planning (Spring H3, 6 units)
15.763 – Manufacturing System and Supply Chain Design (Spring H4, 6)
15.764 – The Theory of Operations Management (Spring, 12)
15.770 – Logistics Systems (Fall, 12 units)
15.774 – Analytics of Operations Management (Fall, 12 units)                                                              15.785 – Digital Product Management (Spring H3, 6 units)

Operations Research & Statistics                                                                                                                15.S04 – Hands-On Deep Learning (Spring H4, 6 units)                                                                          15.062 – Data Mining: Finding the Models and Predictions that Create Value (Fall H2, 6 units)
15.068 – Statistical Consulting (Not offered Spring 22, 9 units)
15.071 – Analytics Edge (Spring or Fall, 12 units)
15.077 – Statistical Learning and Data Mining (Spring, 12 units)                                                        15.083 – Integer Programming and Combinatorial Optimization (Spring, 12 units)
15.093 – Optimization Methods (Fall, 12 units)
15.094 – Robust Modeling, Optimization & Computation – permission required (Spring, 12 units)
15.095 – Machine Learning Under a Modern Optimization Lens – permission required (Fall, 12 units)

Systems Dynamics
15.872 – System Dynamics II (Not offered Spring 22, H2, 6 units)
15.873 – System Dynamics for Business and Policy (Fall or Spring, 9 units)

To obtain the certificate, students must complete the three core requirements and the electives requirements. 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.

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 EXCEPT for EMBA students. If you are an EMBA, please consult with your academic advisor for Certificate requirements.

Students are allowed to pursue up to two certificates (such as Healthcare or Sustainability) or one certificate and one track (Enterprise Management, Finance, or Entrepreneurship & Innovation). Students pursuing a second track or certificate can count up to 2 courses toward both a track and a 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.