Master’s in AI and Business Analytics

Lead the Future of Business. Master Data and AI.

Big Data and Artificial Intelligence (AI) are defining today’s business landscape. Organizations that can leverage data, apply modern AI techniques, and uncover insights through analytics gain a competitive edge across industries.

Zicklin’s specialized Master’s in AI and Business Analytics (MSAIBA) equips professionals with the tools and strategic frameworks to transform data into meaningful business value. Students become expert analysts and AI-informed decision-makers who can explore patterns, reveal trends, and design solutions that drive growth. More critically, they gain the knowledge needed to initiate, manage, and evaluate analytics and AI-driven projects that harness today’s vast and complex data environments. Beyond technical expertise, the curriculum develops sound judgment and leadership to integrate AI responsibly and ethically within real business contexts.

The degree is designed for students with strong analytical aptitude. Students first build a rigorous foundation in core concepts in business analytics and AI through a set of required courses, and then specialize in one of four areas: Data Analytics, Marketing Analytics, Operations & Decision Analytics, or Accounting Analytics.

This degree opens doors to cutting-edge careers in analytics, AI strategy, data science, operations, marketing, and related fields across industries such as technology, finance, healthcare, consulting, and public service.

Why AI Matters for Business Analytics?
Artificial intelligence is transforming how organizations analyze data and make decisions across strategy, operations, and marketing. Employers increasingly seek professionals who can combine analytics expertise with the effective and responsible use of AI tools.

According to the 2025 GMAC Corporate Recruiters Survey, AI-related skills are among the fastest-growing priorities in business hiring.

Learn More About Our Program

Highlights

Specializations in Data Analytics, Marketing Analytics, Operations & Decision Analytics, or Accounting Analytics
Curriculum closely tied to business practices reflecting rapid advancement in AI and analytics technologies
Prepares students for careers in diverse industries
Offers hands-on experience using modern tools and languages such as R, Python, SQL, Hadoop, Spark, and emerging AI platforms
STEM extension available for eligible international students
Full-time students can expect to complete the degree in three semesters

The Zicklin Advantage

Flexibility – Take classes in the evening and complete your degree on a part-time or full-time schedule.
Midtown Location – Experience the energy and opportunity that New York City brings to our centrally located Manhattan campus.
Career and Professional Development – Take advantage of the suite of services offered by our Graduate Career Management Center, designed to provide you with the tools, resources, and connections necessary to successfully manage your career.

Visa Extension for STEM International Students

The MS in AI and Business Analytics conforms to the U.S. Department of Homeland Security’s STEM (Science, Technology, Engineering, Math) program that qualifies eligible international graduates on student visas for an optional practical training extension of 24-months. Find out more here.

Preliminary Courses and Waivers

Curriculum

This curriculum is effective for students entering in Fall 2026. Students who entered prior to Fall 2026 should review the Graduate Bulletin for their semester of entry or contact a program advisor to confirm their degree requirements.

Total credits will range from 34.5 (no preliminary courses required) to 38.5 (all preliminary courses required).

Required Courses (22.5 credits)
BUS 9551	Business Communication I	1.5
CIS 9559	Practical Artificial Intelligence (AI) for Business: Essentials and Responsible Use — required beginning Fall 2026	3
STA 9661 OR STA 9750	Applied Statistics for Business Analytics OR Software Tools for Data Analysis	3
CIS 9340	Principles of Database Management Systems	3
CIS 9650	Programming for Business Analytics	3
CIS 9660	Applied Machine Learning for Business Analytics	3
OPM 9500 OR OPR 9721	Decision Models and Analytics OR Intro to Quantitative Modeling	3
BUS 9430	Business Analytics Project Lifecycle Management — Capstone Course	3
Specializations (Select one: Data Analytics (6 credits), Marketing Analytics (6 credits), Operations & Decision Analytics (6 credits), or Accounting Analytics 6-7 credits)
Data Analytics Choose two courses from the list below:
CIS 9760 OR CIS 9440	Big Data Technologies OR Data Warehousing and Analytics	3
CIS 9655	Data Visualization	3
CIS 9665	Applied Natural Language Processing	3
Marketing Analytics Choose two courses from the list below
MKT 9737	Marketing Analytics	3
MKT 9738 OR MKT 9741	Web Analytics and Intelligence OR Marketing Analytics with Big Data	3
MKT 9742	Social Media Analytics	3
Operations & Decision Analytics – New! Required courses
OPM 9700	Managing Business Operations	3
OPM 9510	Advanced Decision Models and Analytics	3
Accounting Analytics Required courses:
ACC 9806* OR ACC 9993*	Financial Statement Analysis and Reporting OR Special Topics in Accounting	3
ACC 9886*	Data Analytics in Accounting	4
The courses listed for the Accounting Analytics concentration typically require an accounting background through a prior degree. Electives (6-7 Credits)*
Choose 6 credits of 9000-level courses from the graduate offerings of the Zicklin School of Business, except for courses applied towards a prior master’s degree. Students may take up to 3 credits of internship (BUS 9801-9803 or BUS 9811-9813) toward their business electives. Advisors can provide a list of recommended electives.

Online MS in AI and Business Analytics

This program is also offered online. The online version includes the same renowned faculty and academically rigorous, real-world curriculum as our New York City–based MS in AI and Business Analytics program.

Learn more

“Data and artificial intelligence are reshaping how organizations compete and make decisions. This program prepares students to lead that transformation by combining strong analytical foundations with the effective and responsible use of AI.”

Qiang Gao, PhD
Academic Director, MS in AI and Business Analytics
Associate Professor
Paul H. Chook Department of Information Systems and Statistics
Zicklin School of Business

Admissions

We seek highly motivated candidates with strong analytical skills and an interest in integrating data and AI into business decision-making.

Office of Graduate Admissions
Email: ZicklinGradAdmissions@baruch.cuny.edu
Website: Graduate Admissions

Preliminary Course (3 credits)
Students with appropriate academic background will be able to reduce the number of preliminary requirement credits.
Zicklin Course	Zicklin Course Title	Credits
STA 9708	Managerial Statistics	3

baruch college | zicklin school of business

Master of Science Degrees

Lead the Future of Business. Master Data and AI.

Learn More About Our Program

Highlights

The Zicklin Advantage

Visa Extension for STEM International Students

Preliminary Course (3 credits)

Required Courses (22.5 credits)

Specializations (Select one: Data Analytics (6 credits), Marketing Analytics (6 credits), Operations & Decision Analytics (6 credits), or Accounting Analytics 6-7 credits)

Electives (6-7 Credits)

Admissions

Master of Science Degrees