A student pursuing the Advanced Certificate in Digital Business must take and pass the equivalent of 5 full MBA-level courses (15-credits); at least 12 credits must be selected from the menus of MBA courses across the School related to Digital Business shown below, with up to 3 credits of other Stern MBA coursework allowed. At least six credits must be taken from a main group of 7 Digital Business courses that have no prerequisites, while additional credits can be selected from other Digital Business courses that includes courses with a Stern core course as a prerequisite.
Core Courses
Students who want to take a course that has a Stern core course as a prerequisite must either complete the pre-requisite core course within the Advanced Certificate (using the ability to take 3 credits outside of the digital business courses to satisfy such a prerequisite) or demonstrate proficiency in the subject area in one of three ways:
- Having earned an undergraduate major or concentration in the subject area
- Having earned an MBA concentration in the subject area
- Passing the Stern proficiency exam for the subject area
GROUP 1: MAIN DIGITAL BUSINESS COURSES
A student must take at least 6 credits from the following group of elective courses (and may take more than 6 credits from this set). Courses in this Group have no pre-requisites.
TECH-GB.2318 |
Digital Strategy |
TECH-GB.2335 |
Programming in Python and Fundamentals of Software Development |
TECH-GB.3306 |
Data Visualization |
TECH-GB.2346 |
Dealing with Data |
TECH-GB.3322 |
Design and Development of Web and Mobile Applications |
TECH-GB.3332 |
Introduction to AI & Its Applications in Business |
TECH-GB.3336 |
Data Mining for Business Analytics - Managerial |
TECH-GB.2336 |
Data Science for Business Analytics - Technical |
TECH-GB.3355 |
Globalization, Open Innovation, and Crowdsourcing: New Ways of Organizing |
TECH-GB.3362 |
Emerging Technology and Business Innovation |
GROUP 2: ADDITIONAL DIGITAL BUSINESS COURSES
In addition to the minimum requirement of 6 credits of coursework from Group 1, a student may take remaining digital business courses from any of the other courses in Group 1 or from any of the following courses. Note: For sets 2.B-2.C, a specific course is required as a pre-requisite.
Group 2.A: No Prerequisites
ECON-GB.2345 |
The Business of Platforms, Networks, and Two-sided Markets |
TECH-GB.2350 |
Robo Advisors and Systematic Trading |
TECH-GB.3310 |
Digital Marketing Analytics |
TECH-GB.3347 |
Fundamentals of Digital Marketing Technologies |
TECH-GB.3350 |
Financial Information Systems |
TECH-GB.3351 |
Risk Management in IT |
INTA-GB.2121 |
Entrepreneurship and the New Economy |
MGMT-GB.3155 |
Technology Innovation Strategy |
MGMT-GB.3337 |
Foundations: Technological Entrepreneurship |
OPMG-GB.2350 |
Decision Models & Analytics |
Group 2.B: Marketing core course (COR1-GB.2310) as prerequisite
INTA-GB.3340 |
Digital Marketing |
MKTG-GB.2119 |
Entertainment and Media Industries |
MKTG-GB.2132 |
Digital Transformations in Media & Entertainment |
MKTG-GB.2150 |
Social Media |
MKTG-GB.2173 |
New Media in Marketing |
MKTG-GB.2191 |
Tech Product Management |
MKTG-GB.2325 |
Digital Media Innovation |
Group 2.C: Statistics and Data Analysis core course (COR1-GB.1305) as prerequisite
MKTG-GB.2344 |
Data Driven Decision Making: Managerial |
MKTG-GB.2354 |
Data Driven Decision Making: Technical |
STAT-GB.2301 |
Regression and Multivariate Data Analysis |
STAT-GB.2302 |
Forecasting Time Series Data |
STAT-GB.2308 |
Applied Stochastic Processes for Financial Models |
STAT-GB.2309 |
Mathematics of Investment |
STAT-GB.3301 |
Introduction to the Theory of Probability |
STAT-GB.3302 |
Statistical Inference and Regression Analysis |
STAT-GB.3321 |
Introduction to Stochastic Processes |
**Please note this program is no longer accepting new students effective Spring 2020.