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Online MBA Digital & AI

17 August 2020

Earning an MBA degree can be beneficial for people with a technical degree. It entails however not only a time investment, but also a significant financial burden. Self-study constitutes an excellent alternative. All the material for the courses linked below are available at no cost.

The reputation of a business school depends on their alumni's career success. This means they might be selective on admissions even if you are willing to make that investment. Tuition fees can be up to about 150.000 EUR, in addition students miss out on their regular salary during a full-time programme. In many cases, the student's employer pays a significant fraction of the tuition fees. In contrast to self-study, the big advantage of real MBA programmes is the business network which you get on top.

Curricula of renowned business schools such as the Wharton School of the University of Pennsylvania consist usually of a fixed and a flexible core. The curriculum presented here is similar to that, plus it specializes on Digital & AI. The table below contains web links to online versions of courses at UPenn and similar institutions. If you allocate evening or weekend time for self-study, plan one to two weeks per course.

Fixed Core

Course Name & Link Instructor Affiliation
Microeconomics Rebecca Stein University of Pennsylvania Wharton
Statistics One Andrew Conway Princeton University
Marketing Barbara E. Kahn
Peter Fader
Jagmohan Raju
University of Pennsylvania
Operations Management Christian Terwiesch University of Pennsylvania
Public Speaking Matt McGarrity University of Washington
English Composition Denise Comer Duke University
Inspiring Leadership through Emotional Intelligence Richard Boyatzis Case Western Reserve University
Fixed Core

Flexible Core

Flexible Core
Course Name & Link Instructor Affiliation
Financial Accounting Brian J Bushee University of Pennsylvania Wharton
Corporate Finance Michael R Roberts University of Pennsylvania Wharton
Principles of Macroeconomics Peter Navarro University of California, Irvine
Sustainable Development Jeffrey Sachs Columbia University
Entrepreneurship Michael Goldberg Case Western Reserve University
Critical Perspectives on Management Rolf Strom-Olsen IE Business School
Business Strategy Michael Lenox
Jared Harris
University of Virginia
Consumer Neuroscience & Neuromarketing Thomas Zoëga Ramsøy Copenhagen Business School
Operations Management Udatta Palekar University of Illinois
Operations Strategy & Execution Gad Allon
Jan A. Van Mieghem
University of Illinois
Logical Fallacies Walter Sinnot-Armstrong
Ram Neta
Duke University
Negotiation Skills George Siedel University of Michigan
Financial Markets Robert Shiller Yale University
Grow Your Startup Without VC John Mullins London Business School
Quantitative Modeling Richard Waterman University of Pennsylvania Wharton
Decision-Making and Scenarios Richard Lambert
Robert W. Holthausen
University of Pennsylvania Wharton
Modeling Risk and Realities Sergei Savin
Senthil Veeraraghavan
University of Pennsylvania Wharton
Entrepreneurship 1: Developing the Opportunity
Entrepreneurship 2: Launching your Start-Up
Entrepreneurship 3: Growth Strategies
Entrepreneurship 4: Financing and Profitability
Lori Rosenkopf
Karl T. Ulrich
Ethan Mollick
Kartik Hosanagar
David Hsu
University of Pennsylvania Wharton
Business Analytics Specialization Eric Bradlow, Peter Fader, Raghu Iyengar, Ron Berman, Senthil Veeraraghavan, Sergei Savin, Noah Gans, Cade Massey, Martine Haas, Matthew Bidwell, Brian J Bushee, Christopher D. Ittner University of Pennsylvania Wharton

Digital & AI Specialization

Digital & AI Specialization
Course Name & Link Instructor Affiliation
Social Media Marketing Specialization Randy Hlavac Northwestern University
Omnichannel Strategy and Management Santiago Gallino
Antonio Moreno-Garcia
Dartmouth University
Content Strategy Specialization John Lavine
Candy Lee
Randy Hlavac
Northwestern University
Writing for Social Media Tim Peters University of California, Berkeley
Marketing Analytics Stephan Sorger University of California, Berkeley
Marketing Analytics Kamel Jedidi
Asim Ansari
Columbia University
Machine Learning and Reinforcement Learning in Finance Specialization Igor Halperin New York University
Application of AI, InsurTech, and Real Estate Technology Christopher Geczy University of Pennsylvania Wharton

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