Spring 2027 Course Listing (Weekend - Online Classes)

PRELIMINARY


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Sample syllabi are posted to provide you with additional information for the course registration process and may not reflect the final versions of the courses. Content, schedule, requirements, assignments, etc. may change. Please do not use these samples as a basis for buying textbooks, scheduling, preparing assignments, etc.

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Management and Organizational Behavior

  • MGMT-GB.3335Foundations of Entrepreneurship (3)
    Course Description:

    This course offers a framework for understanding the entrepreneurial process and exposes the student to most problems and issues faced by entrepreneurs who start new ventures. Case study is the principal teaching method supplemented by lectures, a venture planning exercise, and guest speakers. Major objectives are for students to learn how to identify and evaluate market opportunities; develop a venture concept and marketing plan; assess and obtain the required resources; and manage the launch of a new venture.
    Schedule for MGMT-GB.3335
    Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr
    S1 Online Sa 2:00 pm - 4:00 pm 02/06-05/01 Okun,G Saturdays Online This class will have additional asynchronous work each week. 1961
    Pre/Corequisite:


    Prerequisite: MGMT-GB Departmental Max and Non-Stern

    Equivalencies:

    MGMT-GB.3336 Foundations of Social Entrepre

    MGMT-GB.3337 Foundations of Technology Entr

    MGMT-GB.3235 Foundations of Entrepreneurshi
    Specializations:

    Entrepreneurship and Innovation

    Management

    Strategy

Marketing

  • MKTG-GB.2365Brand Strategy (3)
    Course Description:

    Brand planners/strategists face many challenges including how to: 1. Create a comprehensive brand architecture that will provide strategic direction; 2. Generate motivating brand identities and value propositions for the key brands; 3. Develop brand-building programs; and 4. Leverage new technologies. The goal of this course is to provide concepts models methods and role models that will help address these challenges.
    Schedule for MKTG-GB.2365
    Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr
    S1 Online Sa 10:00 am - 12:00 pm 02/06-05/01 Eberhardt,J Saturdays; Online; This class will have additional asynchronous work each week. 1844
    Pre/Corequisite:


    Prerequisites: Full-time MBA. Co-requisite: COR1-GB 2310.
    Prerequisites: Focused MBA. Co-requisite: COR1-GB 2110.
    Prerequisites: Part-time MBA and COR1-GB 2310.
    Not open to students with more than 24 MKTG-GB units.

    Equivalencies:

    MKTG-GB.2165 Brand Strategy

    MKTG-GB.2266 Brand Strategy
    Specializations:

    Brand Management

    Luxury Marketing

    Marketing

Technology

  • TECH-GB.3336Data Science and AI for Business: Managerial (3)
    Course Description:

    Businesses, governments, and individuals create massive collections of data as a by-product of their activity. Increasingly data is analyzed systematically to improve decision-making. In many cases automating analytical processes is necessary because of the volume of data and the speed with which data are generated. We will examine how data analytics technologies are used to improve decision-making. We will study the fundamental principles and techniques of mining data and we will examine real-world examples and cases to place data-mining techniques in context to improve your data-analytic thinking and to illustrate that proper application is as much an art as it is a science. In addition we will work hands on with data mining software. After taking this course you should: Approach business problems data analytically; Think carefully & systematically about whether & how data can improve business performance to make better-informed decisions; Be able to interact competently on business analytics topics; Know the fundamental principles of data science that are the basis for analytics processes algorithms & systems; Understand these well enough to work on data science projects and interact with everyone involved; Envision new opportunities; Have had hands-on experience mining data; Be prepared to follow up on ideas or opportunities that present themselves by performing pilot studies.
    Schedule for TECH-GB.3336
    Section Instr Mode Meeting Times Dates Instructor Notes Class Nbr
    S1 Online Sa 2:00 pm - 4:00 pm 02/06-05/01 Reisz,C Saturdays; Online; This class will have additional asynchronous work each week. 2069
    Pre/Corequisite:


    Prerequisite: TECH-GB Departmental Max and Non-Stern

    Equivalencies:

    TECH-GB.3136 Data Science & Predictive Anly

    TECH-GB.2336 Data Sci & AI for Busn: Techni

    STAT-GB.3205 Analytics and Machine Learning

    STAT-GB.3315 Analytics and Machine Learning
    Specializations:

    Artificial Intelligence

    Brand Management

    Business Analytics

    Digital Marketing

    FinTech

    Financial Systems & Analytics

    Healthcare

    Management of Technology & Operations

    Marketing

    Supply Chain Management & Global Sourcing

    Tech Product Management