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 IM 885: International Management Field Seminar
  This course will allow students the opportunity to utilize and apply their MBA learning to business work experience. Students will secure their internship in a position related to the MBA degree program. The deliverable of the project is a paper in which the students must address how the position will leverage their MBA career growth and industry analysis. The deliverable will be due upon completion of the internship experience.
• QST IS 223: Introduction to Information Systems
  Undergraduate Prerequisites: (QSTSM131) - Provides students with an understanding of the important role that information and information technology play in supporting the effective operation and management of business. Elaborates on the themes of "place to space" and the implications for business of the digital enterprise. Focuses on learning IS concepts in the context of application to real business problems.
• QST IS 428: Managing Information Security
  Undergraduate Prerequisites: (QSTIS223) - Combines technical and business approaches to the management of information. It will address technical issues such as cryptography, intrusion detection, and firewalls along with managerial ideas such as overall security policies, managing uncertainty and risk, and organization factors. We will examine different aspects of computer security such as password, virus protection, and managing computer security in dynamic environments. Topics will also include network security and how to secure wireless application and services. These technical details will be placed in a business context. The class will have a practical focus as we examine current "best practices" in area. There will be several guest speakers in the security area. This will be a project-oriented class and students will present their research projects during the last several classes. 4 cr.
• QST IS 465: Managing Data Resources
  Undergraduate Prerequisites: QST IS223 and QST BA222 or CAS CS105 or CAS CS108 or CAS CS111 or CDS DS110 (co-requisite /pre-requisite) - Required for Management Information Systems concentrators. Provides a practical and theoretical introduction to data management focusing on the use of relational database technology and SQL to manage an organization's data and information. Introduces recent topics such as data warehouses and Web databases. Includes a project to design and implement a relational database to manage an organization's data. 4 cr.
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• QST IS 469: Designing Information Systems
  Undergraduate Prerequisites: (QSTIS223) - Required for Management Information Systems concentrators. Studies the process of designing and implementing management information systems. Students will learn to analyze organizational information requirements, develop specifications for information systems, manage systems development projects, and understand implementation issues. Key implementation concepts that affect management decisions will be discussed, and reinforced with programming examples. Design support tools will be used to support the design process. Includes a project to design an information system.
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• QST IS 498: Directed Study: Management Information Systems
  Directed study in Management Information Systems. 2 or 4 cr. Application available on Undergraduate Program website.
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• QST IS 737: Decision Making with Data
  Graduate Prerequisites: QST IS717, IS833, IS834, QM877, or knowledge of Python - This is an advanced python-based analytics course on data-driven decision-making in business environments. Business analytics professionals need to be able to i) uncover patterns in the data (descriptive analytics); ii) use the data to make predictions about future outcomes (predictive analytics); and iii) leverage this data to make optimal business decisions (prescriptive analytics). This course takes a holistic approach to analytics, touching on aspects of all three descriptive, predictive, and prescriptive pillars. We explore advanced business analytics topics, including data reduction, classification, decision analysis, and optimization. We link data models to strategy relying on statistical programming in Python and introduce novel techniques used in practice. Case studies and projects apply topics to practical business problems. 3 cr.
• QST IS 811: Responsible AI for Business Analytics
  AI and data are powerful tools that require thoughtful and responsible applications. The stakes are high as algorithms can scale to influence millions and even billions of people within a moment of launch and morph businesses and society with the impact that might last generations. Our mission is to understand and anticipate potential pitfalls and misuse of personal data and AI to guard against harm. We will also discuss existing solutions and the lack of solutions. The course is designed to be accessible to everyone and targeted to practitioners whose businesses will use some form of data and algorithms. Examples from Technology, Retail, Marketing, Health Care, Finance, and Society will be discussed.
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• QST IS 815: FinTech Revolution: Disruptive Technologies, Blockchain and Future of Finance
  FinTech is the intersection of finance, technology, and regulation. The course aims to help students understand FinTech and recognize the challenges and opportunities the innovations within FinTech pose. Students gain a basic understanding of the foundations and principles that enabled the rise of FinTech and examine cases for a more in-depth analysis of specific innovations such as blockchain and cryptocurrencies. The course advances students' knowledge of FinTech, much needed skill in the industry, and gives students insight into the applications, limitations, and risks of technological innovations in finance.
• QST IS 823: Analytics for Managers
  This non-programming-based analytics course examines how the abundance of data has transformed decision making in organizations and the strategic implications of this transformation. We explore how data are being used, ranging from the core principles of properly identifying data sources to the actual analytical methods being used to solve a wide range of business problems. Students will have some hands-on work with advanced Excel, Tableau, and two database applications, Microsoft Access and Neo4j (Neo4j is used to compare and contrast SQL and NoSQL databases in an analytics context). At the end of this course, students will have gained a big-picture perspective on business analytics as well as hands-on experience with commonly-used business analytics software.
• QST IS 827: Platform Strategy and Design
  Graduate Prerequisites: QST PL727 or PL730, QST SI750 or SI751, or permission of instructor - To thrive in the modern economy, managers, entrepreneurs and investors need a thorough understanding of platform businesses. Indeed, today's most powerful and valuable firms, from Airbnb, to Amazon, Facebook and Salesforce, operate as platforms connecting buyers and sellers, or users and advertisers, or users and third-party developers. These platforms derive their value from network effects and the ability to harness innovation from their users. Drawing on cases from social media, entrepreneurship, enterprise software, mobile services, and consumer products, we will analyze and learn to launch platform startups, convert existing businesses into platforms, and compete in a platform-centric world. Students will learn to apply concepts from industrial economics, market design, and game theory to real problems.
• QST IS 828: Managing Information Security
  Graduate Prerequisites: IS710/711/716 - This MBA elective (also open to undergraduates) will combine a technical and business approach to the management of information. It will address technical issues such as cryptography, intrusion detection and firewalls along with managerial ideas such as overall security policies, managing uncertainty and risk and organization factors. We will examine different aspects of computer security such as passwords, virus protection and managing computer security in dynamic environments. Topics will also include network security and how to secure wireless application and services. These technical details will be placed in a business context. The class will have a practical focus as we examine current best practices. There well be several guest speakers in the security area. This will be a project oriented class and students will present their research projects during the last several classes.
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