Online/Modular OptionThe Online/Modular option allows students to complete the entire program via a combination of online courses and in-person modules. This is not an online MBA, but rather a hybrid approach that combines some online learning with in-person courses taught on campus in NYC.
First, students complete the core curriculum entirely through online courses (about half of the program). Second, students may finish the elective portion of the degree through a combination of the following:
- One-week intensive in-person modules in NYC
- Regular in-person courses on weeknights or Saturdays in NYC
- A select range of online elective courses
The majority of the online core courses will be taught “live” (synchronously) so there is real-time interaction with your professors and classmates. Core online classes are planned to be taught on weeknights from 7:00 – 9:00 PM EST, with the remaining course content covered through videos, exercises, and readings that can be done at any time that suits a student’s schedule (asynchronously).
The asynchronous content enables courses to start later than our in-person courses. The online courses start at 7:00 PM whereas our regular in-person courses start at 6:00 PM. The later starting time is an added convenience for those in nearby time zones or whose busy work schedules include longer hours.
(Please note that some off-cycle classes may be offered on other days and some classes may be 6:00 - 9:00 PM EST depending on the professor and subject matter. Elective in-person and online courses may be offered during other days and times.)
Immersive One-week Modules in NYC
The modules will focus on specific business topics in an immersive seminar-style approach. We believe that the in-person NYC immersion is an integral part of the unique NYU Stern MBA experience. This module format provides students the opportunity to come to New York City for the week and experience the city and Stern. The module format is of course especially beneficial for those who may live further away from New York or have very busy work or travel schedules.
Each module will cover 4.5 elective credits by integrating three 1.5 credit courses that are organized around a unique, focused and relevant theme or subject matter in business today. The intensive one-week modules are planned to run Monday - Saturday (9:00 AM – 12:00 PM and 1:30 – 4:30 PM) in NYC. In the evening, there will also be assignments and group work required. Each module will require additional work both before and after the week in NYC. Some of this pre/post work will be done “live” virtually (synchronously) with the remainder covered through videos, exercises, and readings that can be done when it is convenient for the student (asynchronously).
Students must be able to enroll in the entire module to earn credit for the module and students are required to complete all 4.5 credits of coursework to participate. Students are not able to participate in just one or two courses of the module or only a portion of the module. If a student has already taken one course in the module, they should explore other modular options offered, enroll in intensives where they can take one course or review the online/in person schedule for other course options.
Planned modules cover the following areas:
- Thinking Strategically
- Leading an Organization
- The Financial Industry
- Global Business
- Tech Innovation
Online/Modular Elective Options
Students in the Online/Modular option may complete their electives through a combination of the following choices:
- Modules: One-week intensive in-person modules in NYC.
- Regular in-person classes
- Online electives
As all the online elective offerings and the modules may vary over time, not all of our specializations will be possible for online/modular students without taking some of their elective courses in person in NYC on weeknights or Saturdays. However, it is anticipated that several of the most popular specializations should be able to be obtained via the combination of online courses and modules. These specializations likely include: Strategy, Management, Finance as well as Entrepreneurship & Innovation. More information on specialization requirements can be found on the specializations page.
Please note that the NYU Stern Langone MBA program is considered part-time study and as such does not provide student visa eligibility.
Program Offering Change
After your first two semesters, you may continue to take core classes online or also take in person classes on weeknights or Saturdays as best fits your schedule. In addition to the Online/Modular Option, the Part-time MBA program has three other scheduling options: Weeknights Option, Saturday Option and Accelerated Two-Year Option. It is also possible to switch program options to in person Weeknights, Saturdays or Accelerated.
- At least 9 credits of elective courses must be completed in person for the Online/Modular option.
- As a student in the Online/Modular option, you are placed in a cohort (Block) of other Online/Modular students, typically no bigger than about 50-60 students, all of whom take most core classes on that same schedule.
- Courses held during intensive periods (January and late summer) provide the opportunity to earn 1.5 or 3 credits at a faster pace and may be on weeknights or weekends – these courses may only be available as in person options during some periods. Please note that intensive courses are different than the modules. They are taught like regular in person courses on weeknights, just in a more compressed schedule.
In advance of starting your first term, we strongly recommend that you become familiar with R as it will be used in your online core Statistics & Data Analysis course in your first semester.
R is an open source language and environment for statistical computing, data mining, modeling, and data graphics. It provides a wide variety of statistical and graphical techniques such as linear and non-linear modeling, statistical tests, time series analysis, classification, and clustering.
R is one of the most used business analytics tools. For example, Facebook uses R for behavior analysis related to status updates and profile pictures. Google uses it to analyze advertising effectiveness and economic forecasting. Twitter leverages R for data visualization and semantic clustering. In a recent data science salary survey conducted by O'Reilly, R was ranked second in a category of programming languages for data science.
Students who do not already know how to program in R have three options for approaching the Statistics & Data Analysis core course:
- Use code provided by the instructor. You will learn little about programming, but will be able to do the assignments.
- Take Stern's self-paced R for Data course and learn the basics of R programming for data analysis. You may participate in this course by signing up for it when you register for courses.
- Gain general proficiency in R programming by taking a course elsewhere. Make sure it includes these topics:
- Using RStudio
- Using R to compute binomial and normal probabilities
- Using R for simple regression