Master of Business Analytics

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 may take up to 66 units per term, with a maximum of 54 units from MIT Sloan courses. 

Below is the 2019-2020 course guide: 

Fall Semester Core 
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15.071: Analytics Edge (12):
This class 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: Optimization Methods (12):
The course offers a unified view of mathematical optimization, covering the main areas of application as well as the core optimization algorithms.

15.095: Machine Learning Under a Modern Optimization Lens (12):
Develops algorithms for central problems in machine learning from a modern optimization perspective. 

15.572: Analytics Lab (9):
The purpose of the Analytics Lab (A-Lab) is to match student teams with leading-edge projects involving analytics, machine learning or digital technologies as they apply to business questions and problems.

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. 

15.003: Analytics Software Tools in R, Python, SQL and Julia (3)

+ Communications & Data Storytelling Seminar
+ Additional 12 units of approved electives (not required)

January Independent Activities Period (IAP)
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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):
This course will equip you with the strategies, tactics, and tools to use quantitative information to inform and persuade others.

15.003: Analytics Software Tools in R, Python, SQL and Julia (3)

+ Communications & Data Storytelling Seminar
+ Analytics Career Bootcamp

Spring Semester
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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 Semester
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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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