"Patterns emerge before the reasons for them become apparent." - MS in Business Analytics Professor Vasant Dhar

Business Analytics is the study of data through statistical and operations analysis, the formation of predictive models, application of optimization techniques and the communication of these results to customers, business partners and colleague executives.

It is the intersection of business and data science.

This program is an advanced business degree that focuses on quantitative methods and the role of evidence-based data in business modeling and decision-making. The MS in Business Analytics program is designed for professionals who have an interest in quantitative methods and exploring and uncovering economic relationships through data analysis.

Program Format and Schedule

Participant Profile: Experienced managers who can benefit from unlocking the potential of big data. Participants come from a broad range of sectors: financial services, communications, consulting, health and pharmaceuticals, manufacturing, energy, nonprofit/NGO, education, IT, etc.

Program Details: The Master of Science in Business Analytics Program is designed with busy working professionals in mind.

Participants live and work in their home countries and attend five concentrated, rigorous modules in New York and rotating global locations.

There is an optimization of classroom time, with usage of distance learning between modules. The modules are time intensive so that all teaching is done in-person only.  To read more about the program curriculum and academic details, please follow this link to the course index page

Synthesize Data to Make Better Decisions

Business Analytics is the intersection of business and data science, offering new opportunities for a competitive advantage. Business analytics unlocks the predictive potential of data analysis to improve financial performance, strategic management, and operational efficiency.

Gain a Competitive Advantage
Graduates will be equipped to influence decision-making, strategy and ultimately drive better business results by gaining the ability to transform data into a powerful and predictive strategic asset. Business Analytics is critical in preparing organizations to solve 21st-century business challenges and participants of this program will have exposure to innovative methodologies that support data driven decision making.

What Differentiates this Program?

APPROACH: The NYU Stern Master of Science in Business Analytics, an advanced business degree program, teaches students both to understand the role of evidence-based data in decision making and to leverage data as a strategic asset. The program is designed for experienced professionals interested in gaining competitive advantage through the predictive potential of data.

FORMAT: The Master of Science in Business Analytics program is a one year, part-time program divided into five on-site class sessions (modules) at NYU Stern in New York and two rotating global locations. This part-time format reduces the absence from the office to approximately 5 weeks over the course of the year. Between modules, students complete an average of 20-25 hours per week of work via distance learning.  For more information on the format, please click here.

GLOBAL NETWORK: Participants have the opportunity to cross-learn and share best practices among their cohort and through their exposure to top faculty and business leaders in the growing field of Business Analytics. With a degree from New York University, graduates will join not only the MS in Business Analytics network, but also NYU’s extensive global alumni network.

APPLICATION: The culmination of the program is the Business Analytics Capstone, which gives students an opportunity to apply the learnings of the program by presenting a unified and practical case on a topic of their choosing.  This is a team based project with approximately 4-6 students per group.

NYU STERN: New York City is one of the world's great financial and business capitals, and NYU Stern is in the middle of it all. Close to Wall Street, located in the heart of Greenwich Village, NYU Stern is one of the world's leading research institutions. Academic excellence is always a top priority at NYU Stern. With its incomparable location and prestigious reputation, the university has been able to attract top-tier professors from around the globe as well as distinguished visiting professors from the worlds of business, politics and academia. NYU Stern has a distinctive edge in its ability to balance business theory with practical experience. It also provides unique opportunities for students to meet business leaders and learn firsthand how their companies work.\

Blended Learning

The NYU Stern MS in Business Analytics is based on a blended learning approach combining both synchronous (in-person classroom time) and asynchronous learning (independent study).

Modules are divided into three phases: pre-module, module and post-module.



Pre-module: Research Phase
This begins 4-6 weeks prior to the in-class teaching session. Students prepare for the module by completing qualitative and quantitative assignments that include; readings and cases, tutorials and diagnostics, exercises and written assessments. Completion of the pre-module material ensures a more rigorous and productive classroom experience.

Module: Residential Period
Students and leading faculty, industry experts and practitioners come together for valuable “in-class” residential periods. The classroom provides a dynamic environment for discovery and collaboration with your classmates.

Post-module: Application
The post-module is designed as the implementation phase of the module. Students are challenged to apply the material and concepts covered during the pre-module phase and residential period to solidify their learning. Deliverables are in the form of case studies, written assignments, projects and group work.
 

Admissions Overview

The MS in Business Analytics Program is designed for experienced professionals established within analytical roles who help drive strategy through utilizing data. Therefore, a candidate's record of professional achievement is a critical factor.

Admissions Criteria

To apply to the Master of Science in Business Analytics Program, applicants must have:

·         A minimum of five years of professional, full-time work experience.

·         A bachelor's degree and strong Grade Point Average.

·         Demonstrated high aptitude for quantitative analysis and academic success as evidenced by undergraduate and graduate coursework as applicable.

Admissions Process:

The Admissions Process is rigorous and selective. We consider an applicant's candidacy holistically based on the qualities they will bring to the MSBA program. 

To Begin:

1. Submit the Preliminary Information Form, which will assist the Admissions Committee in advising you. 

2. The Admissions Office will contact you within one week after receipt of your form to discuss your suitability and, if applicable, schedule apreliminary informational interview. If the MS in Business Analytics Program is the right fit, we will invite you to begin the online application. 

3. Complete the online application. ​

In addition to the completed online application, we will need the following:

•       Three essays
•       Curriculum Vitae/Resume
•       Two Recommendations (may also be submitted online)
•       Official Transcripts
•       Copy of passport
•       TOEFL Result (if required)
•       Non-Refundable Application fee of $103
 

Please note that you may submit your application for initial review even if recommendations or transcripts are still being processed or are not yet ready to be submitted. 

*Prior to enrollment, admitted applicants will be asked to submit a Company Time-Support Form to confirm that the participant's employer is aware that the employee will be out of the office during the published dates of the 1-year program.
 

4. Final Interview. Should the Admissions Committee feel positive about your candidacy upon review of a completed application, we will contact you to schedule a final interview. This can be conducted via phone, Skype, or face-to-face. 

Application Deadlines:

Admissions decisions are reached on a rolling basis throughout the year. We advise all applicants to begin the admissions process without delay as places are limited.

International Applicants:

Admissions decisions are reached on a rolling basis throughout the year. We advise all applicants to begin the admissions process without delay due to visa regulations and the limited class size.

Program Cost and Financial Aid

Program Costs
The program fee for the Class of 2017 is USD 68,750.
This fee includes tuition, course materials, some meals and official events. Hotel and travel expenses are not included.

Tuition Deposit
A tuition deposit of USD 6,875 is required to secure a spot in the Class of 2017. The deposit is due upon acceptance to the program.

Application Fee
A non-refundable application fee of USD 103 is required when submitting an application and can be paid by credit card.

Financial Aid
There are many federal and private loan programs available for MS in Business Analytics Program students. Please visit Stern's Financial Aid website to learn more.

Students who wish to use financial aid may be eligible for Federal and/or Private student loans. Federal loans consist of funding provided by the government to domestic students (U.S. citizens and permanent residents only). To apply, you must complete the Free Application for Federal Student Aid (FAFSA). Private loans are non-federal loans that are offered through lenders such as banks or credit unions. Most private lenders require non-U.S. citizens and permanent residents to apply with a U.S. based co-signer. For more information, you are welcome to contact the NYU Stern Graduate Financial Aid Office or visit their website.