Management Studies

• QST MS 773: Customer Data Analysis
  This course seeks to familiarize students with customer data analysis related to digital marketing and sales, customer experience, and product management. The goal of this course is to help students uncover insights along the customer's journey as they move in stages of awareness, intent, conversion, and retention. Students will build foundational skills in analyzing customer data.
• QST MS 774: Digital Marketing Analytics
  This is an introductory course on Digital Marketing emphasizing analytics that seeks to familiarize students with digital marketing tactics. At the heart of marketing lies consumers and their marketing journey through the stages of awareness, intent, conversion, and finally retention. In this course, we will learn how digital has revolutionized the interactions between firms and consumers along this journey. Digital offers powerful tactics to reach consumers along the funnel: online display ads raise awareness, search listings reach consumers with intent, on-site e-commerce marketing facilitates conversion, and social media both energizes and retains customers. The course develops essential data analytics skills--critical thinking, data mining, experimental analysis, and design--applied to ad campaigns, ad attribution, and social media data
• QST MS 775: Business Impact Modeling
  The ability to take on unstructured problems and generate useful insights/solutions is something that cannot easily be taught. But, it can certainly be learnt through practice and guidance. For most quantitative problems in graduate courses, the decision options, goals, and analytical approaches are pre-defined. In practice, however, business problems are usually ill-defined, "messy", where the decisions are initially ambiguous, goals are unclear, and the relationship between decisions and outcomes are indeterminate. While each business problem is distinctive, a disciplined approach to problem solving can be incredibly useful across many career contexts. The concepts and exercises in this course will sharpen our professional ability to structure a messy problem and do some disciplined analysis on it. Examples will be drawn from Strategy, Operations, Technology Management, Marketing, and Finance to expose us to the broad applications of the concepts and tools learned in this class.
• QST MS 776: Data Management for Managers
  This course introduces students to techniques for building database systems and for mining datasets to make effective use of information assets. Students will learn a variety of skills including: • Prepare SQL queries to retrieve information from a relational database • Analyze a business situation to determine information‐management needs • Design and implement a relational database to address those needs
• QST MS 777: AI for Business Challenges
  Students will gain firsthand experience with language models like GPT, learning the intricacies of model fine-tuning, prompt engineering and its various frameworks, and deployment strategies through interactive sessions and real-world projects. The course also delves into advanced issues critical to the responsible implementation of AI including privacy, ethics, bias, data integrity, and challenges like mitigating hallucinations in AI outputs. By the end of the course, participants will be equipped not just with theoretical knowledge but also with practical skills, empowering them to harness the potential of Generative AI in innovative and strategic ways.
• QST MS 779: Business Experimentation with AI
  This course equips students with the skills to innovate through iterative experimentation, using generative AI and digital tools to rapidly ideate, test, and refine business solutions. Through hands-on, team-based projects, students will learn to apply a structured approach to solving complex challenges, preparing them to lead and thrive in rapidly shifting business landscapes.
• QST MS 784: Insights and Analytics Client Project
  In this client project, small student teams will undertake a growth opportunity investigation that relies on competitive assessment, trend analysis and customer insights to evaluate, size and place a value on potential market entry, acquisition or organic growth opportunities.
• QST MS 785: Innovation Tournament Project
  Build a prototype of a new product or service innovation based on a concept developed by students in the Innovation and Entrepreneurship course. Develop a commercial launch plan that includes a customer acquisition model, operations scale up, investment sequencing, and timeline. Assemble the business plan to attract investors, demonstrate a return on investment. Pitch the plan to a panel of actual investors.
• QST MS 786: Customer Experience Client Project
  In this client project, small student teams will redesign a customer or employee experience. They will map the customer journey, prioritize a touchpoint for redesign, use design thinking to generate a new experience at the touchpoint and validate the idea with potential customers. They will complete their project by creating a prototype of the new experience.