
Columbia MSBA Review 2025: Is the Master’s in Business Analytics Worth It? Fees, ROI, Jobs & More
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Columbia MSBA Review
Columbia Engineering and Columbia Business School are pleased to offer a full-time Master of Science in Business Analytics degree, with a three-semester curriculum designed for those who want to focus on learning the modeling techniques and data science tools that help businesses use data to make better decisions. A key element of the degree program is a capstone project that provides an intense consulting engagement with clients and their real-world business problems using real data sets.
The Master of Science in Business Analytics program is STEM-certified and eligible for F-1 STEM OPT extension.
Let's dep dive into Columbia MSBA Review.
Overview
Columbia's Business Analytics focuses on leveraging big data and business intelligence to drive strategic decision-making.
It integrates key areas such as:
Optimization techniques
Programming skills
Statistical analysis
The field aims to solve real-world business problems using data-driven approaches.
Common job roles include:
Business Analyst
Data Scientist
Analytics Consultant
Strategy Analyst
BI (Business Intelligence) Developer
Industries hiring Business Analytics professionals include:
Consulting firms
Financial & professional services
Technology & IT
Advertising & media
Healthcare & retail
Professionals in this field are expected to have a deep understanding of data and the ability to apply analytical tools in practical business settings.

Note: You can click on the links provided above to visit the official pages for more information, application guidelines, and program details. Each link will take you directly to the relevant section on the official website.
Tuition and Fees
They recognize that the pursuit of graduate studies represents a significant investment in time and financial resources. The budgets are designed to help you in financial planning, based on a a moderate student lifestyle.
2024-2025 Tuition & Fees
Visit Student Financial Services for the complete University guide, as well as any updates, to billing, payments and financial aid. Note that tuition is set by the University Board of Trustees and is subject to change. You visit the Graduate Engineering Aid for more information.
Tuition | Amount |
Tuition per Credit | $2,584 |
Tuition for 30-credit programs: MSIE and MSOR ¹ | $77,520 |
Tuition for 36-credit programs: MSFE, MSBA, and MS&E ² | $93,024 |
Fees
Please refer to the full listing of fees on the Student Financial Services website
This budget assumes that the student is enrolled full time and will complete the degree program within two semesters.
This budget assumes that the student is enrolled full time and will complete the degree program within three semesters. Students who elect to extend their studies will incur addition fees and personal expenses.
Graduate Programs Timelines
Fall Applications
We urge applicants to submit all application materials by the respective deadlines to ensure a proper review before our cohorts are full. Please note, the IEOR Department programs do not have rolling admissions.
Program | Fall Semester Start | Decision Timeline |
MS in Operations Research | January 15 (priority deadline); February 15 (regular) | Late March-April |
MS in Industrial Engineering | January 15 (priority deadline); February 15 (regular) | Late March-April |
MS in Financial Engineering | January 15 | Late February - April |
MS in Business Analytics | January 15 (priority deadline); February 15 (regular) | Late March-April |
MS in Management Science & Engineering | January 15 (priority deadline); February 15 (regular) | Late March-April |
Doctoral: M.S./Ph.D., Ph.D., Eng. Sc.D. | December 15 | Late February |
M.S. Express | November 15 (early consideration); May 1 (final) |
For school wide updates on application deadlines and requirements, please visit Columbia Engineering Graduate Admissions.
Spring
Application for the spring semester will open mid-September. We encourage all of our candidates to apply in a timely manner, for the semester that they expect to begin their program.
MS Program | Deadline | Decision Timeline | |
Operations Research | October 15 | Mid-Late December | |
Industrial Engineering | October 15 | Mid-Late December |
Curriculum: Courses, Electives & Concentrations
The MSBA program is a three-semester STEM program which can be completed within 12 months.
The program is in partnership with two Columbia Business School divisions:
Decision, Risk, and Operations (DRO) and Marketing.
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:
a minimum of 18 credits (typically 6 courses) within Columbia Engineering, IEOR Department
a minimum of 12 credits (typically 4-6 courses) within the Columbia Business School, see the listing of historically approved Business School courses
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.
Students are also required to attend a year-long, zero-credit IEOR E4598 Business Analytics Practitioners Seminar Series course (sample syllabus).
A program plan is available for students to use to plan their studies. This program plan will be used to facilitate a dialogue with the advisement team and your designated faculty advisor.
For more course information, students can check out the IEOR course listing.
Program Requirements
To stay in good academic standing, students must get at least a B- grade in each core course and maintain a minimum GPA of 2.67 each semester.
If a student doesn't meet these requirements, they'll be reviewed by the academic team and asked to adjust their course plan to improve.
Students who are not in good academic standing may be asked to withdraw from the program.
Core
Fall (1st Term) - 12 credits
Core - 12 credits
IEOR | E4502 | Python for Analytics Bootcamp (0-credit) |
IEOR | E4599 | MSBA Quantitative Bootcamp (0-credit) |
IEOR | E4101 | Probability, Statistics and Simulation |
IEOR | E4523 | Data Analytics |
IEOR | E4650 | Business Analytics |
MRKT | B9651 | Marketing Analytics |
IEOR | E4598 | Business Analytics Practitioners Seminar Series (0-credit, year-long) |
ENG | IE4000 | Professional Development Leadership (0-credit) |
*Students are expected to be proficient in Python when starting the MSBA program.
Note: IEOR E4650 Business Analytics is counted as IEOR credits.
Spring (2nd Term) - 12 credits
Core - 6 credits
IEOR | E4004 | Optimization Models and Methods (required) |
IEOR | E4524 | Analytics in Practice (required) |
+2 electives (6 credits) from either the CBS pre-approved list or from IEOR Loading... | ||
IEOR | E4598 | Business Analytics Practitioners Seminar Series (0-credit, year-long) |
The MSBA program requires that students take a minimum of 12 CBS and 18 IEOR credits to graduate and students should plan their electives accordingly.
Students may satisfy the 12 credits of CBS from our pre-approved list of courses that from other CBS Divisions.
Note that only select CBS courses may be available for ranking and add/drop each term from Course Match
Summer or Fall (3rd Term) - 12 credits
+ 1 Business School Elective (with course code: DROM or MRKT) |
+ Remaining Electives |
Breadth Electives
Electives are selected under the advisement of the student's advising team. Courses taken from the School of Professional Studies will not be counted towards the M.S. degree (i.e. courses with the following prefixes: ACTU, BUSI, COPR, IKNS, SUMA, FUND, and more).
Concentrations
Students may complete 1 or 2 concentrations to fulfill the remaining credits for the degree.
Financial Analytics & Financial Technology (FinTech)
Select at least (9 credits) from the following
DROM | B8106 | Operations Strategy |
DROM | B8116 | Risk Management |
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 |
MRKT | B8667 | Foundations Of Innovation |
Marketing Analytics
Select at least (9 credits) from the following
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 | E4312 | Application of OR & AI Techniques in Marketing (1.5 credits) |
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 | E4601 | Dynamic Pricing & Revenue Management |
MRKT | B7666 | Media Platforms and Content: A Foundations Course |
MRKT | B8602 | Customer Management: Concepts and Models (1.5 credits)* |
*Students may take MRKT B8602 or MRKT B9656, but not both.
Healthcare Analytics
Select at least (9 credits) from the following
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 |
MRKT | B8602 | Customer Management: Concepts and Tools (1.5 credits)* |
MRKT | B8692 | Pharmaceutical Drug Commercialization: Strategy & Practice (1.5 credits) |
MRKT | B9656 | Customer Management: Concepts and Tools (1.5 credits)* |
*Students may take MRKT B8602 or MRKT B9656, but not both.
Analytics Algorithms & Methodology
Select at least (9 credits) from the following
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 | B8644 | Sports Economics And Policy (1.5 credits) |
MRKT | B8687 | The Business of Sports (1.5 credits) |
MRKT | B9160 | Applied Multivariate Statistics |
MRKT | B9608 | Experimental Design & Analysis for Behavioral Research |
MRKT | B9616 | Bayesian Modeling & Computation |
MRKT | B9652 | MS Marketing Models |
MRKT | B9653 | MS Machine Learning (1.5 credits) |
MRKT | B9654 | MS Artificial Intelligence (1.5 credits) |
MRKT | B9657 | Winning Strategic Capabilities (1.5 credits) |
ORCS | E4529 | Reinforcement Learning |
Career Resource

Columbia MSBA students benefit from a dedicated Career Management Center (CMC) at Columbia Business School, offering:
One‑on‑one coaching on resumes, cover letters, networking, and interview best practices.
Pre‑MS career curriculum and mock interviews to jumpstart job search strategies.
Access to Columbia’s online career portal (COIN) — featuring job listings, event calendars, and tailored career tools.
Workshops, panels, and recruiting events with top employers in finance, tech, consulting, and more.
Career Placement Statistics in Business Analytics
FAQ's
Is Columbia’s MSBA program STEM-designated?
Yes, the Columbia MSBA is a STEM-designated program, which allows international students to apply for a 24-month OPT extension, providing up to 36 months of work authorization in the U.S. after graduation.
What is the duration and format of the Columbia MSBA program?
The Columbia MSBA is a full-time, three-term program (around 1 year) that combines in-person classes with real-world industry projects and a capstone.
What is the average salary after graduating from Columbia MSBA?
Graduates typically earn an average base salary of $110,000–$125,000, with top roles in data science, strategy, analytics consulting, and tech product management.
Do I need work experience to apply for the Columbia MSBA?
Yes, applicants are expected to have at least 1–2 years of full-time work experience, preferably in analytics, tech, finance, or a data-driven field.