Overview
The Master of Science in Marketing Science at Columbia Business School requires two semesters of full-time study and a capstone course typically taken in a third term. Students need to complete a minimum of 30 credits to complete the program. They can take an additional three credits at no extra tuition charge under the School's flat rate tuition program. Every MSM student is required to pay University tuition and fees for two semesters and is charged a flat rate of tuition. Students are allowed to take up to a maximum of 33 credits.
Expected Coursework
Students must complete all core courses and all flexible core (“FlexCore”) requirements.
Core Classes
- Statistical Modeling and Decision Making (B9659; 1.5 credits)
- Python Programming for Data Science (B9661; 1.5 credits)
- Market Intelligence: The Art and the Science (B8656; 3 credits)
- Marketing Consulting Skills (B9657; 1.5 credits)
- Capstone Project (B9660; 3 credits)
FlexCore Requirements
Complete all courses in Option A or B for each of the two FlexCore requirements below.
Choice 1:
- Option A: Advanced Marketing Analytics (B9619; 3 credits)
- Option B: Digital Marketing (B9655; 1.5 credits) & Social Networks (B8628; 1.5 credits)
Choice 2:
- Option A:Behavioral Economics & Decision Making (B8619; 3 credits)
- Option B: Strategic Consumer Insights (B8607; 3 credits)
Elective Classes
MS Marketing students have prioritized access (reserved seats) in all elective courses below. Seats in additional courses vary according to the term and are on a space-available basis. Most electives are divided into two categories: Marketing and Analytics. We recommend but do not require that students complete six credits in each category.
Marketing Electives (Six Credits Recommended)
8622 Intro to User Experience (1.5 credits; Fall)
8636 Product Management (3 credits; Spring)
8649 Pricing Strategies (1.5 credits; Spring)
8666 Media Platforms and Content: A Foundations Course (3 credits; Spring)
8689 Media Planning and Growth Marketing (1.5 credits; Spring)
Analytics Electives (Six Credits Recommended)
9122 Computing For Business Research (3 credits; Fall)
8138 Intro to Databases for Business Analytics (1.5 credits; Fall and Spring)
8143 Foundations of AI for Business (1.5 credits; Spring)
9653 Machine Learning (1.5 credits; Spring)
9654 Artificial Intelligence (1.5 credits; Spring)
8609 Generative AI for Business (1.5 credits; Spring)
8643 Retail Analytics (1.5 credits; Spring)
Optional Leadership Electives
8500 Lead: People, Teams, Organizations (1.5 credits; Spring)
8502 Strategy Formulation (1.5 credits; Spring)
PhD Coursework
Students can substitute the following PhD courses for certain core requirements with permission from the Director of the MS Program and the teaching faculty.
Bridging Behavioral Decision Making
Experimental Design & Analysis for Behavioral Research
Marketing, Decisions and Methods
Mathematical Models in Marketing
Faculty
The MSM program offers an opportunity to learn alongside faculty who are at the forefront of their disciplines. They are international influencers on business practices and strategies, continuing Columbia Business School’s legacy of developing the world’s top business leaders and strategists. Our faculty are exceptionally invested in student success and help create a collaborative culture that challenges students to push the boundaries of their expertise so they can contribute to today’s most innovative organizations.
