Academics

This course will focus on developing marketing strategies driven by marketing analytics. Topics covered include market segmentation, targeting, and positioning, and new product development. The course will draw on and extend students' understanding of issues related to quantitative analysis and principles of marketing. The course will use a combination of cases, lectures, and a hands-on project to develop these skills.

This class will examine how managers and leaders can create the conditions for innovation at the individual, team and organizational levels - and how those conditions differ for startup and mature organizations. Managing innovation includes the generation of ideas; the integration of ideas into new product concepts; and the commercialization of ideas. While core strategy courses address the questions of what innovations to pursue and whether and when those innovations will bring value, this course addresses the question of how managers can create organizations to deliver innovations of value. Thus, the course will focus on the practices and processes that mangers need to put in place to enable organizations to execute on an innovation strategy. In doing so, students will evaluate how to balance the challenges of organizing, managing and leading innovation with the need to produce concrete, routine and expected outcomes within the organization. To be innovative, any new idea must resolve the innovation paradox - introducing enough novelty to appeal to new markets while retaining enough familiarity to tap into existing behaviors. Because design and innovation are frequently inseparable in managing this paradox, the class will assess how design contributes to innovation in product, process and business models across industry sectors. The course will also consider the role that all sources of innovation play - including communities, networks, brokers and other forms of open innovation. Students will be asked to reflect upon innovations that have been critical to their lives, and how these innovations were produced and gained market traction. Final group projects will explore how to "rescue" innovations in trouble with turnaround teams.

Today's most valuable and powerful companies do not offer standalone products or services, but rather platforms which enable transactions between multiple customer groups -- think Alibaba, Airbnb, Amazon, eBay, Facebook, Google, Microsoft, Salesforce, Uber, etc. This course explores the unique strategy challenges and economic foundations of such platform businesses. What makes platforms special relative to regular product businesses? Why are platforms so powerful, yet so hard to build? How should platforms be designed and priced? How much responsibility should platforms take for bad things they enable their participants to do (e.g. fake news and ad scams on Facebook, counterfeits on Alibaba)? When and how can regular products or services be transformed into platforms? How should other businesses deal with the rising power of platforms that they depend on? The course will use a mixture of conceptual frameworks, (light) economic models, and case studies to provide students with a thorough and in-depth understanding of what it takes to build or invest in platforms. Such an understanding is indispensable to anyone seeking a career at technology companies or aspiring to become an entrepreneur or venture capitalist.

Have you ever dreamed of climbing the Great Wall of China? How about consulting to a Chinese firm in Beijing? The International Consulting Project is an MBA course that involves consulting work during the fall semester on campus, with a trip to Asia in to deliver the team's recommendation personally to the client at their offices. Examples of past projects and more background can be found on this link: http://www.bclob.com/icp-home/ Much of the past students' work over the years has both been implemented and widely published in the Chinese business press.

This programming-based analytics course will cover how to perform statistical analysis of large datasets that do not fit on a single computer. We will design a Hadoop cluster on Google Cloud Platform to analyze these datasets. Utilizing Spark, Hive, and other technologies, students will write scripts to process the data, generate reports and dashboards, and incorporate common business applications. Students will learn how to use these tools through Jupyter Notebooks and experience the power of combining live code, equations, visualizations, and narrative text. Employer interest in these skills is very high. Basic programming in python, and basic analytics are prerequisite.

This course introduces students to the foundational machine learning techniques that are transforming the way we do business. Machine learning relies on interdisciplinary techniques from statistics, linear algebra, and optimization to detect structure in large volumes of data and solve prediction problems. Students will gain a theoretical understanding of why the algorithms work, when they fail, and how they create value. They will also gain hands-on experience training machine learning models in Python and deriving insights and making predictions from real-world data. Prior programming experience (or IS833/IS834) is strongly recommended. Note: The course was previously offered under the title "Digital Marketing Analytics," but does not overlap with MK876; students may take both courses for credit.

There isn't a "one size fits all" approach to starting new ventures. Start-ups need a strategy that aligns with their scarce resources. This course highlights the process of how to choose an entrepreneurial strategy, the specific choices that matter, how key choices fit together to form an overall entrepreneurial strategy, and the playbook for particular entrepreneurial strategies. Students will develop, analyze, and recommend entrepreneurial strategies for business concepts they develop.

The purpose of this course is to teach students about the distinctive challenges of managing high-performing organizations in the nonprofit sector. The course will cover a broad range of topics and it is intended to be a gateway course to the sector and to potential electives and pathways of future learning. The two major projects in the semester (one is individual, one in a team) offer students the chance to choose an area of interest to explore in depth. Other assignments challenge students to identify and analyze key indicators of nonprofit performance and to communicate effectively about those issues to selected stakeholders. A strong grounding in nonprofit accounting and financial management is extremely valuable and so we devote considerable attention to those topics. The course also addresses nonprofit marketing, evaluation, fundraising and revenue generation, growth strategy, impact investing, and the confluence of charity and commerce. The course is oriented to practice and will engage experts in the field.

This course is designed to: (1) explore the concepts, practices, opportunities, and challenges of social entrepreneurship; (2) provide frameworks and tools that will help students be more effective in this sector; and (3) provide an opportunity for students to create a business plan for a new social enterprise or an income-generating initiative of a nonprofit organization. In the business plan project, student teams will partner with external organizations. Students will identify and analyze opportunities, resources, and risks and apply skills from marketing, accounting, organizational behavior, strategy and other disciplines. Special emphasis will be placed on aspects of business planning and organizational strategy that are particularly challenging or distinctive in the social sector, including mission definition, leadership, organizational structure, raising capital, and measuring results.