Curriculum

The MSBA program is a three-semester program which can be completed in a single calendar year. Students enter in the Fall term and can finish as soon as the following August, or engage in a summer internship to complete the program by the end of the following Fall. Students are required to take the equivalent of 12 three-credit courses (36 credits), in the following areas:

at least 6 courses (18 credits) within Columbia Engineering, IEOR Department
4 to 6 courses (12-18 credits) within the Columbia Business School
and the remaining courses (if any) can be taken from Columbia’s other graduate schools including: the School of International and Public Affairs, the Law School, or Graduate School of Arts and Sciences.

A program plan will be available for students to use to plan their studies. This program plan will be used to facilitate a dialogue with your designated faculty advisor. For more course information, students can check out the IEOR course listing.

Required Core Courses: (18 credits)

IEOR: E4599; MSBA Quantitative Bootcamp (0-credit)
IEOR: E4004; Optimization Models and Methods
IEOR: E4101; Probability, Statistics and Simulation
IEOR: E4501; Tools for Analytics
IEOR: E4523; Data Analytics
ENGI: E4000; Professional Development Leadership (0-credit)

IEOR: E4650; Business Analytics
IEOR: E4524; Analytics in Practice

Students may complete 1 or 2 concentrations to fulfill the remaining credits for the degree. Students may select courses within other concentrations and the breadth elective list.

Select (1) of the following (4) concentrations:

DROM/MGMT: B8510; Managerial Negotiations
DROM: B8816; Quantitative Pricing & Revenue Analytics
DROM: B9122; Computing for Business Research
IEOR: E4106; Stochastic Models
IEOR: E4500; Applications Programming for Financial Engineering
IEOR: E4525; Machine Learning for Financial Engineering & Operations Research
IEOR: E4574; Technology Innovation in Financial Services (1.5 credits)
IEOR: E4725; Big Data in Finance
IEOR: E4742; Deep Learning for Operations Research & Financial Engineering
MRKT: B8649; Pricing Strategies

DROM: B8122; Game-Theoretic Business Strategy
DROM: B8123; Demand & Supply Analytics
DROM: B8131; Sports Analytics
DROM/MGMT: B8510; Managerial Negotiations
DROM: B9122; Computing for Business Research
DROM: B9127; Online Marketplaces
IEOR: E4407; Game Theoretic Models of Operations
IEOR: E4506; Designing Digital Operating Models
IEOR: E4562; Innovate Using Design Thinking (Blockweek Course Co-listed with CBS; counts towards the CBS credit requirement)
IEOR: E4312; Application of OR & AI Techniques in Marketing (1.5 credits)
IEOR: E4601; Dynamic Pricing & Revenue Management
MRKT: B8607; Strategic Consumer Insights
MRKT: B8617; Marketing Research & Analytics
MRKT: B8679; Digital Marketing
MRKT: B8683; Marketing Models
MRKT: B8608; New Product Development
MRKT: B9613; Mathematical Models in Marketing
MRKT: B9651; Marketing Analytics

DROM: B8105; Healthcare Analytics (1.5 credits)
DROM: B8107; Service Operations
DROM: B8108; Supply Chain Analytics
DROM: B8128; Healthcare Investment and Entrepreneurship HCIT & Services
DROM: B8132; Digital Healthcare Startups
DROM/MGMT: B8510; Managerial Negotiations
DROM: B8832; US Healthcare System
IEOR: E4405; Production Scheduling
IEOR: E4505; Operations Research in Public Policy
IEOR: E4507; Healthcare Operations Management
IEOR: E4520; Applied Systems Engineering
IEOR: E4521; Systems Engineering Tools & Methods
IEOR: E4540; Data Mining

COMS: W4111; Introduction to Databases
CSOR: E4231; Analysis of Algorithms
DROM: B8110; Business Analytics Strategy
DROM: B8111; Analytics for Business Research
DROM: B8127; Big Immersion Seminar - Big Data (1.5 pts)
DROM: B8130; Applied Statistics & Data Analytics
DROM/MGMT: B8510; Managerial Negotiations
IEOR: E4008; Computational Discrete Optimization
IEOR: E4407; Game Theory
IEOR: E4418; Transportation Analytics & Logistics
IEOR: E4525; Machine Learning for Financial Engineering & Operations Research
IEOR: E4526; Analytics on the Cloud
IEOR: E4540; Data Mining
MRKT: B9160; Applied Multivariate Statistics
MRKT: B9608; Experimental Design & Analysis for Behavioral Research
MRKT: B9616; Bayesian Modeling & Computation

Curriculum

First Fall Core: (12 pts)

Spring Core: (6 pts)

1. Financial Analytics & Financial Technology (FinTech): select at least (9 credits) from the following:

2. Marketing Analytics: select at least (9 credits) from the following:

3. Healthcare Analytics: select at least (9 credits) from the following:

4. Analytics Algorithms & Methodology: select at least (9 credits) from the following:

Breadth Electives

Program Requirements

Seeley W. Mudd Building

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