The Peter J. Tobin College of BusinessQueens Campus
This 30 credit program is designed to enable students to learn how to use data-driven approaches to solve business challenges in the era of big data. Business analytics is at the intersection of statistics, operations research, and computer science. This program offers a broad yet rigorous curriculum in data science (statistics, data mining, computer language, stochastic modeling, econometrics), applied analytics (finance, marketing, operations), and management science (optimization, simulation). The curriculum provides the skills, insight, and capability to transform data into insightful information that will lead to better results, and enables our graduates to understand the role of evidence-based data in decision-making and how to transform data into a powerful and predictive strategic asset that will ultimately drive optimal results. Students learn about the use of analytics in particular functional areas, such as, finance, marketing or operations, as well as, acquiring general knowledge of data analytics and business computing.
Applicants to the Tobin College of Business Graduate programs* will automatically be considered for GMAT/GRE waivers once they submit their application, transcript, and resume for the 2021 academic year.
* MS Finance and MS Actuarial Science applicants are required to submit the GMAT/GRE
BUA 602 Business Analytics
BUA 631 Prescriptive Analytics & Spreadsheet Modeling (Co-requisite BUA 602)
BUA 633 Predictive Analytics and Business Forecasting
BUA 635 Big Data and Data Mining
IS 605 Applied Computer Language
Select two courses from the following:
BUA 609 Advanced Managerial Statistics (Prerequisite or co-requisite BUA 602)
BUA 611 Machine Learning for Business (Prerequisite BUA 602)
BUA 632 Bayesian Statistics for Business Decision Making
CUS 635 Web Data Mining
CUS 680 Distributed Big Data Analytics I
IS 601 Advanced Computer Applications for Business
IS 645 Database Management
IS 646 Computer Simulation Methods for Business
Select two courses from the following:
AIS 624 Information Technology Auditing
AIS 668 Accounting Information: Analytics and Forensics
FIN 639 Foundations in Financial Technology
FIN 669 Advanced Financial Technology
MGT 622 Theory and Applications of Management Information Systems
MGT 628 Operations Management and Management Systems
MKT 611 Data Analysis in Marketing Research
ACT 602 Financial Mathematics
RMI 604 Risk Pricing Simulation
*Some of these courses have a prerequisite.
BUA 650 Seminar in Business Analytics
Please see a list of our Business Analytics and Information Systems faculty.
All applicants must possess a baccalaureate degree from an accredited institution or the international equivalent prior to enrollment at the graduate level. In addition to the application form and non-refundable application fee candidates should submit the following:
* Applicants to the Tobin College of Business Graduate programs** will automatically be considered for GMAT/GRE waivers once they submit their application, transcript, and resume for the 2021 academic year. International Students should also submit the foreign credit evaluation and TOEFL/IELTS scores. Once complete, please email [email protected] to request waiver consideration.
** MS Finance and MS Actuarial Science applicants are required to submit the GMAT/GRE
For additional information, please contact:
The Peter J. Tobin College of Business
Office of Graduate Admission
8000 Utopia Parkway
Queens, NY 11439
The Master of Science in Business Analytics is a science, technology, engineering or mathematics (STEM) field of study. Students with an F-1 visa who complete this field of study may be eligible to receive a STEM-based optional practical training (OPT) extension. Contact the International Student and Scholar Services Offices at 718-990-6083 or [email protected] for additional information.
Potential career options for graduates from this program include data scientist, health care analyst, statistician, predictive modeler, quantitative analyst, project manager, market research analyst, computer systems analyst and technical team leader.
For additional information, please contact the faculty program director:
Department of Business Analytics and Information Systems[email protected]