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Prior to commencing the program, admitted students are required to have completed a Probability and Statistics course at the undergraduate level. It is also desirable that admitted applicants have taken a course in Marketing Management and a course in Microeconomics.
In addition,it is highly recommended that students develop some knowledge and experience working with SQL, a database programming language, and any one of the statistical packages such as SPSS, SAS, Stata, and Matlab prior to joining the MS program.
All students are required to complete the following sequence of coursework:
Note that the Mathematical Methods course begins in mid-August prior to the beginning of the fall semester.
They are also required to take or exempt from these two MBA courses:
If desired, students can substitute Strategic Consumer Insights (B8601) with either of the two PhD Consumer Behavior courses (Consumer Behavior I - B9610-025 or Consumer Behavior II - B9610-015). However, instructor permission is required before joining each course.
Students can take a maximum of two MBA courses in marketing. Students choose the elective classes that are most relevant to their interests. The following table contains a list of potential MBA and EMBA courses to choose from:
|MBA Courses||Course Credit|
|Marketing Plans Workshop (B8699-009)||Full|
|High Technology Entrepreneurship (B9677-007)||Full|
|Marketing for Organic Revenue Growth (B7601-061)||Full|
|Strategic Marketing in the Modern Corporation (B8610-001)||Full|
|New Product Development (B8604-001)||Full|
|Pricing Strategies (B9601-037)||Full|
|Media Metrics, Analytics and Economics (B8699-011)||Full|
|Marketing Metrics (B9601-072)||Half|
|Systematic Creativity in Business (B8699-020)||Half|
Full courses count for 3 credits each. Half courses count for 1.5 credits.
Students could substitute these courses with other MBA electives subject to availability of seats and with approval from the MS committee.
Students are required to take a minimum of two electives chosen from courses offered by the Ph.D. program or approved courses offered by other schools at Columbia University. Students choose these electives to sharpen their analytical skills and/or build expertise in their area of interest. The following table presents a list of courses offered by the Ph.D. program to choose from:
|Courses offered by the Ph.D. Program||Course Credit|
|Consumer Behavior I or II (B9610-025 or B9610-015)*||Full|
|Bayesian Modeling and Computation (B9610-024)||Full|
|Bridging Behavioral Decision Research and Marketing Science (B9610-023)||Full|
|Marketing, Decisions & Methods (B9610-018)<||Full|
|Experimental Design and Analysis for Behavioral Research (B9610-014)||Full|
|Foundations of Optimization||Ful|
|Foundations of Stochastic Modeling||Full|
|Analytical Models/ Empirical Industrial Organization (B9699-001)||Full|
|Computational Bayesian Methods (B9311-023)*||Full|
|Introduction to Econometrics (B9311)*||Full|
|Micro Economic Analysis I and II (B8207 and B8209)*||Full|
*These courses are offered yearly. All the other courses are offered bi-annually.
Other graduate-level classes offered across the School and University may also be applied toward this requirement, subject to availability and approval of the Master of Science in Marketing Degree Committee. The following table presents an illustrative sample of courses:
|Courses offered by other schools at Columbia||Dept/School|
|Machine Learning (COMS4771)||Computer Sci|
|Human Factors: Performance (E4207)||Engineering|
|Seminar in Human Factors Design (E4208)||Engineering|
|Optimization/ Linear Programming||Engineering|
|Social Impact of Mass Media (J6030)||Journalism|
|Data Mining (W4240)||Statistics|
|Sample Surveys (W4335)||Statistics|
|Applied Statistics for Researchers (G6191)||Statistics|
|Multilevel Models (W4330)||Statistics|
|Time Series Analysis (W4437)||Statistics|
|Linear Regression and Time Series Methods (W4440)||Statistics|
|Survival Analysis (W4543)||Statistics|
|Causal Inference (G8320)||Statistics|
All Master of Science in Marketing students are required to complete a master thesis (a 1.5 credit course) under the supervision of a faculty adviser. Students will provide regular progress reports on their work. The project will generally be grounded in an industry-related problem and/or a relevant academic research question.
The MS program requires students to go through a practical experience. This experience could be either an internship in a company or serving as a research assistant to a faculty member from the marketing Division. The master thesis should be connected to this experience (e.g., writing a research article with a faculty advisor or writing a research report based on the internship project).
Students opting for research assistantship are encouraged to identify a faculty member to work with, preferably in their first semester of the program.
For students opting for an internship in a company, it is highly recommended that they search for internship opportunities prior to joining the program. The internship can take several forms. For example, the student could serve one day a week at a company working on their research project. Alternatively, the student could arrange a summer internship. The student could also fulfill the practical experience requirement through a field project course that is sponsored by a company. The internship experience should give students an opportunity to work on a real-world marketing problem and apply concepts learned in the classroom to the project. Internships are typically analytically oriented, and require a greater focus on statistical analysis of data than MBA internships.