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DRPS : Course Catalogue : Business School : Common Courses (Management School)

Postgraduate Course: Game Theory for Business Analytics (CMSE11422)

Course Outline
SchoolBusiness School CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryThis course covers an introductory level of game theory to provide analytical tools for business applications.
Course description Traditional research in business analytics focused on the decision theoretic perspectives, in which a single decision-making authority optimises the system as a whole under exogenous uncertainty. The past decades saw the evolution of business studies to address management problems with strategic uncertainty, in which different individuals, divisions and/or firms strategically interact with each other. Strategic interactions in multi-agent problems create new challenges for managers. As a natural quantitative analytical tool for such multi-agent decision making problems, game theory has widely and successfully been applied to the field of business management. This course introduces game theory as analytical tools and provides insights into managerial situations in order to assist with decision making when multiple agents with conflicting objectives are involved. To be more specific, it provide students with both cooperative and non-cooperative game theory based quantitative frameworks to analyse strategic interactions in economic problems and its impact on managerial decision making and to understand strategic situations in which different individuals/divisions/firms may have potentially conflicting incentives.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements For MSc Business Analytics students, or by permission of course organiser. Please contact the course secretary.
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Block 3 (Sem 2)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 10, Seminar/Tutorial Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 86 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% coursework (individual) - assesses all course Learning Outcomes
Feedback Formative: Feedback will be provided throughout the course.

Summative: Feedback will be provided on the assessment within agreed deadlines.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Identify strategic situations in which different agents have conflicting incentives
  2. Analyse the consequences of strategic interactions on feasible outcomes and allocations
  3. Understand various non-cooperative equilibrium concepts and cooperative solution concepts
  4. Identify the rationale of the assumptions behind game-theoretic models
Reading List
Nisan, Noam (2007), Algorithmic Game Theory Cambridge University Press (main textbook)

Laffont, Jean-Jacques, and David Martimort(2009). The theory of incentives: the principal-agent model. Princeton university press,

Watson, Joel (2012) Strategy: An Introduction to Game Theory,

Norton.Haeringer, Guillaume (2018) Market Design: Auctions and Matching, MIT Press
Additional Information
Graduate Attributes and Skills Practice: Applied Knowledge, Skills and Understanding

After completing this course, students should be able to:

Apply creative, innovative, entrepreneurial, sustainable and responsible business solutions to address social, economic and environmental global challenges.

Knowledge and Understanding

After completing this course, students should be able to:

Demonstrate a thorough knowledge and understanding of contemporary organisational disciplines; comprehend the role of business within the contemporary world; and critically evaluate and synthesise primary and secondary research and sources of evidence in order to make, and present, well informed and transparent organisation-related decisions, which have a positive global impact.

Identify, define and analyse theoretical and applied business and management problems, and develop approaches, informed by an understanding of appropriate quantitative and/or qualitative techniques, to explore
and solve them responsibly.
KeywordsNot entered
Course organiserDr Tong Wang
Tel: (0131 6)51 5551
Course secretaryMiss Emma Allison
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