Management Information Systems

• QST IS 841: Advanced Analytics For Managers: Data Mining
  The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data about consumer, supplier and competitor preferences. This has led to the emergence of a new form of competition based on the extensive use of analytics, experimentation, and fact-based decision making. In virtually every industry the competitive strategies organizations are employing today rely extensively on data analysis to predict the consequences of alternative courses of action, and to guide executive decision making. This course provides a hands-on introduction to the concepts, methods and processes of business analytics. We will learn how to obtain and draw business inferences from data by asking the right questions and using the appropriate tools. Topics to be covered include data preparation, data visualization, data mining, text mining, recommender systems as well as the overall process of using analytics to solve business problems, its organizational implications and pitfalls. Students will work with real world business data and analytics software. Where possible cases will used to motivate the topic being covered. Prior courses in analytics, data management and statistics (such as IS823) will be helpful but are not required.
• QST IS 843: Big Data Analytics for Business
  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.
• QST IS 854: Digital Strategy for Emerging Business Leaders
  The use of AI, IOT, 5G, cloud computing and other disruptors are transforming industries and business models. In this class students will learn, practice and build digital strategies that extend Porter's Five Forces. Students will be able to engage top executives in proposing new ways to grow top and bottom line. In addition to case studies and class exercises, we will bring in industry experts to share their real world experience. In lieu of a final exam, students will form into project teams that will analyze, develop, present and gain buy-in for a specific digital strategy. In addition, the course will cover topics business leaders need to drive new value by partnering effectively with IT, including such key management concepts as digital delivery, governance, architecture, and decision rights.
• QST IS 855: Digital Transformation: Immersive Interactions and Insights at Silicon Valley
  This course will be a one week intensive held in Silicon Valley. The course is designed to achieve two objectives. First, to develop an appreciation for the role of Silicon Valley in Digital Innovation and, secondly, to examine how digital innovations are impacting key shifts in specific sectors. Students will be placed into teams and be expected to develop specific insights as the basis to engage in interactions with corporate executives, alumni and follow classmates. Teams will also visit leading companies involved in each sector and develop and present their team's perspective on key digital trends and leadership challenges for their sector.
• QST IS 883: Synthesizing Digital Efforts to Deliver Better Outcomes
  Most organizations today -- of all sizes and stages of maturity -- are undertaking internally and externally focused digital initiatives. Success of these programs varies widely, as they are dependent on numerous factors, both strategic and tactical. Foremost among them are how individuals with skills across strategy, project/program management and analytics think about their purpose individually, what they prioritize and how they work together collectively. In this class students will learn the leading thinking, practices, and tools used by top digital professionals to build digital products. The course will cover key topics in product management, agile project management, data driven decision making, and the use of these in consulting contexts. These topics will be reinforced through the analysis, design and creation of a digital prototype. Because Cloud technology is often the key to the creation of such products today, the course will also include key content in cloud technology and architecture, building upon that already covered in earlier coursework in the MSDT.
• QST IS 889: Data Management
  The ability to collect, organize, access, analyze and harness data is a source of competitive advantage for some and a competitive necessity for others. Getting an organization to the point where it has a data asset it can leverage is a non-trivial task. Many firms have been shocked at the amount of work and complexity that is required to pull together an infrastructure that integrates its diverse data sources and empowers its managers. This course will provide an introduction to the concepts and technologies that are involved in managing and supporting the data assets of your organization. We will cover data modeling, relational databases, including SQL, data warehousing and business intelligence.
• QST IS 890: Digital Transformation Through Experimentation and Scaled Agile: A Practicum
  This course describes how digital transformation increases the reach and speed of experimentation, and how this in turn both improves execution and supports innovation. The course will examine how successful firms integrate modeling, data gathering, analysis, knowledge synthesis, with both their planning and operations. Managing for such an approach requires not just an agile, but a scaled-agile approach, with multiple parts of the firm co-evolving in a mutually supportive way. Working in small teams, students will apply the concepts to term-length projects. The class will run as an applied studio, with teams providing constructive feedback to each other throughout the term.
• QST IS 898: Directed Study: Info Systems
  Graduate-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.
• QST IS 899: Directed Study: Info Systems
  Graduate-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.
• QST IS 912: Platform Strategy & Design
  This class will cover seminal works in the economics of information including the Nobel Prize winning ideas of Akerlof, Arrow, Spence, Stiglitz, and von Hayek. It will proceed through (i) concepts of information, its value and measurement (ii) search and choice under uncertainty (iii) signaling, screening, and how rational actors use information for private advantage (iii) how to price and package information goods (iv) how properties of information cause market failure (v) macroeconomic effects of information (vi) social and legal issues of owning information. Although primarily a theory class, it should be of interest to any student applying information economics in academic, commercial, or government policy contexts. Prerequisites are a graduate course in microeconomics and mathematics at the level of introductory calculus and statistics. Students will produce a major paper suitable for publication or inclusion in a thesis.
• QST IS 919: Research Seminar 2
  This course covers those important Information Systems (IS) theories and topics that are at the organizational level of analysis and below. That is, it focuses on the behaviors of single individuals and small numbers of individuals, such as dyads and teams. This is consistent with an approach to organizational phenomena that distinguishes between micro and macro levels of research, this course being the micro. The focus is on ways that individuals and teams use information technologies to acquire, process, and transfer information, and the effects these technologies have on individual cognition and dyadic and group interactions. It also investigates the design and implementation of information technologies and the impact of these on organizational outcomes. The course is designed to engender students with a broad knowledge of research at the intersection of information technologies and organizations, with an emphasis on theoretical underpinnings and methodological choices.
• QST IS 990: Current Topics Seminar
  For PhD students in the Information Systems department. Registered by permission only.
• QST IS 998: Directed Study: Info Systems
  PhD-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.
• QST IS 999: Directed Study: Info Systems
  PhD-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.

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