Online MBA Digital & AI

Aug 17, 2020·
Dr. Michael Koehn
Dr. Michael Koehn
· 3 min read

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 & LinkInstructorAffiliation
MicroeconomicsRebecca SteinUniversity of Pennsylvania Wharton
Statistics OneAndrew ConwayPrinceton University
MarketingBarbara E. Kahn Peter Fader Jagmohan RajuUniversity of Pennsylvania
Operations ManagementChristian TerwieschUniversity of Pennsylvania
Public SpeakingMatt McGarrityUniversity of Washington
English CompositionDenise ComerDuke University
Inspiring Leadership through Emotional IntelligenceRichard BoyatzisCase Western Reserve University

Flexible Core

Course Name & LinkInstructorAffiliation
Financial AccountingBrian J BusheeUniversity of Pennsylvania Wharton
Corporate FinanceMichael R RobertsUniversity of Pennsylvania Wharton
Principles of MacroeconomicsPeter NavarroUniversity of California, Irvine
Sustainable DevelopmentJeffrey SachsColumbia University
EntrepreneurshipMichael GoldbergCase Western Reserve University
Critical Perspectives on ManagementRolf Strom-OlsenIE Business School
Business StrategyMichael Lenox Jared HarrisUniversity of Virginia
Consumer Neuroscience & NeuromarketingThomas Zoëga RamsøyCopenhagen Business School
Operations ManagementUdatta PalekarUniversity of Illinois
Operations Strategy & ExecutionGad Allon Jan A. Van MieghemUniversity of Illinois
Logical FallaciesWalter Sinnot-Armstrong Ram NetaDuke University
Negotiation SkillsGeorge SiedelUniversity of Michigan
Financial MarketsRobert ShillerYale University
Grow Your Startup Without VCJohn MullinsLondon Business School
Quantitative ModelingRichard WatermanUniversity of Pennsylvania Wharton
Decision-Making and ScenariosRichard Lambert Robert W. HolthausenUniversity of Pennsylvania Wharton
Modeling Risk and RealitiesSergei Savin Senthil VeeraraghavanUniversity of Pennsylvania Wharton
Entrepreneurship 1: Developing the OpportunityLori Rosenkopf Karl T. Ulrich Ethan Mollick Kartik Hosanagar David HsuUniversity of Pennsylvania Wharton
Business Analytics SpecializationEric Bradlow, Peter Fader, Raghu Iyengar, Ron Berman, Senthil Veeraraghavan, Sergei Savin, Noah Gans, Cade Massey, Martine Haas, Matthew Bidwell, Brian J Bushee, Christopher D. IttnerUniversity of Pennsylvania Wharton

Digital & AI Specialization

Course Name & LinkInstructorAffiliation
Social Media Marketing SpecializationRandy HlavacNorthwestern University
Omnichannel Strategy and ManagementSantiago Gallino Antonio Moreno-GarciaDartmouth University
Content Strategy SpecializationJohn Lavine Candy Lee Randy HlavacNorthwestern University
Writing for Social MediaTim PetersUniversity of California, Berkeley
Marketing AnalyticsStephan SorgerUniversity of California, Berkeley
Marketing AnalyticsKamel Jedidi Asim AnsariColumbia University
Machine Learning and Reinforcement Learning in Finance SpecializationIgor HalperinNew York University
Application of AI, InsurTech, and Real Estate TechnologyChristopher GeczyUniversity of Pennsylvania Wharton
Dr. Michael Koehn
Authors
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Dr. Michael Koehn is an expert for Artificial Intelligence. He was a faculty member at the University of Pennsylvania in Philadelphia and postdoctoral researcher at the Max Planck Society in Potsdam, gaining a scientific understanding of machine learning and mathematical optimization. He held a senior position at a major AI consulting firm before starting Koehn AI in 2019. He is a pioneering expert for Linux server administration and cloud computing, and an expert for the major programming, scripting and database query languages.