Master of Business Analytics

MBAn Curriculum

Subject listings are intended to provide a window into MIT offerings. Names, numbers, instructors, and descriptions are subject to change. For the most up-to-date information, please see the MIT subject catalog.

Additional courses from the Operations Research Center Approved Electives can be found here.

Courses and Units

By the end of the 12-month program, you will have completed anywhere from 111 to 141 units of classwork. MBAn students take up to 66 units per term, with a maximum of 54 units from MIT Sloan courses. 

Below is the 2020-2021 course guide:

Fall Term
 

15.071 Analytics Edge (12):
Examines how data analytics is used to transform businesses and industries, using examples and case studies in e-commerce, healthcare, social media, high technology, sports, the internet, and beyond. 

15.093/6.255/IDS.200 Optimization Methods (12):
Introduces the principal algorithms for linear, network, discrete, robust, nonlinear, and dynamic optimization. Emphasizes methodology and the underlying mathematical structures

15.572 Analytics Lab: Action Learning Seminar on Analytics, Machine Learning, and the Digital Economy (9):
Student teams design and deliver a project based on the use of analytics, machine learning, large data sets, or other digital innovations to create or transform a business or other organization.Culminates with presentation of results to an audience that includes IT experts, entrepreneurs, and executives.

15.681 From Analytics to Action (6):
 Develops appreciation for organizational dynamics and competence in navigating social networks, working in a team, demystifying rewards and incentives, leveraging the crowd, understanding change initiatives, and making sound decisions.

+Additional 12 units of approved electives (not required). 

January Independent Activities Period (IAP)

MBAn students are expected to take advantage of MIT's IAP in January as an opportunity to gain practical experience. 

15.089 Analytics Capstone Project (24 units spanning IAP, Spring, and Summer):
Practical application of business analytics problems within a real company. Teams of 1-2 students, matched with company projects, visit companies to define project and scope. 

15.286 Communicating with Data (3):
Focuses on structuring the oral and visual communication of data. Introduces these concepts and a methodology of self-reflection to help one accelerate his or her life-long learning process. 

15.S54 SSIM Ethics & Data Privacy​ (3)

Introduction to Deep Learning (Optional)

Communication and Data Storytelling Workshop:
This course will equip you with the strategies, tactics, and tools to use quantitative information to inform and persuade others.

Spring Term
 

15.089 Analytics Capstone Project (24 units spanning IAP, Spring and Summer):
Practical application of business analytics problems within a real company. Teams of 1-2 students, matched with company projects, visit companies to define project and scope. 

Students must take a minimum of 27 units and a maximum of 48 units of approved electives.

Summer Term
 

15.089 Analytics Capstone Project (24 units spanning IAP, Spring and Summer):
Practical application of business analytics problems within a real company. Teams of 1-2 students, matched with company projects, visit companies to define project and scope.

 

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