Courses

The listing of a course description here does not guarantee a course’s being offered in a particular term. Please refer to the published schedule of classes on the MyBU Student Portal for confirmation a class is actually being taught and for specific course meeting dates and times.

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• QST IS 843: Big Data Analytics for Business
  Graduate Prerequisites: Python basics (e.g. IS717, IS834, QM877 (Python Bootcamp) or equivalen t); Some prior experience with analytics (e.g. IS823, IS833, IS834, IS 841, MK842, MK872, MK876); or permission of the instructor. - 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.
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• QST IS 854: Digital Strategy for Emerging Business Leaders
  Graduate Prerequisites: SI851 preferred - A digital strategy is an organization's plan to leverage digital technologies to create new business models, products, and services, as well as to improve internal processes and interactions with customers, suppliers, and partners. For business leaders, a digital strategy is crucial to staying competitive and grow their businesses. In this course, students will learn how to design, execute and communicate digital strategies in a complex organization. We will also learn key management concepts such as project delivery, change management, as well as financial modelling of digital investments. 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 to design, develop, present and gain buy-in for a specific digital strategy.
• QST IS 855: Digital Transformation: Immersive Interactions and Insights at Silicon Valley
  Graduate Prerequisites: FT MBA: second-year standing. PEMBA: 36 credits of coursework. - 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 858: Agile Project Management
  This course is designed to provide students with an overview of agile development methodologies. The course introduces the various methods currently used in the industry and then focuses on the primary methodologies used today, SCRUM and Kanban. Students will learn the tools of these agile development approaches and will be introduced to RALLY Project Management software, the leader in the industry for SCRUM. Students will learn to analyze requirements, create backlogs, schedule "stories" to be developed and delivered, hold standup meetings, and Retrospectives.
• QST IS 860: Analytics Consulting: Data-Driven Business Solutions
  Graduate Prerequisites: Some prior experience with analytics (e.g. IS823, IS833, IS834, IS841, MK842, MK872, MK876), or permission of the instructor. Experience wi th Python (e.g. IS717, IS834, QM 875 (Python Bootcamp)), or - This course will introduce concepts, methods, and processes of data mining and machine learning within projects that have been sponsored by partner companies. Through practice in this live setting, we will develop our analytical problem solving skills, and understand how to organize and manage agile analytical projects in the most realistic possible situation. We will learn how to collect, wrangle, and analyze both primary and secondary data sources in multiple business contexts and apply this knowledge to the client data.
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• QST IS 889: Data Management
  Graduate Prerequisites: Non-MSDT students only in Fall; MSDT students only in Summer - 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: Creating Successful Digital Products & Experiences
  Graduate Prerequisites: MSDT Students Only - Organizations of all sizes and stages of maturity are undertaking internally and externally focused digital initiatives. The success of these programs varies widely and depends on numerous strategic and tactical factors. In this class students will learn leading models, practices and tools used by top digital teams, and apply them, along with other skills learned throughout the MSDT program, toward the research, ideation, design and creation of a prototype digital product/experience designed to address unmet needs in the market and achieve real-world critical business objectives.
• QST IS 898: Directed Study: Info Systems
  Graduate Prerequisites: consent of instructor and the department chair - 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 Prerequisites: consent of instructor and the department chair - Graduate-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.
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• 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.
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• 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
  Graduate Prerequisites: consent of instructor and the department chair - 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
  Graduate Prerequisites: consent of instructor and the department chair - PhD-level directed study in Management Information Systems. 1, 2, or 3 cr. Application available on the Graduate Center website.