Skip to main content
 

BUSI4G215: Strategic Decision Making and Business Option Modelling

It is possible that changes to modules or programmes might need to be made during the academic year, in response to the impact of Covid-19 and/or any further changes in public health advice.

Type Tied
Level 4
Credits 15
Availability Available in 2024/2025
Module Cap
Location Durham
Department Management and Marketing

Prerequisites

  • None

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To promote a critical awareness and understanding of flexible strategic decision making under uncertainty by introducing a wide range of relevant concepts and theories, from finance, management, strategy, innovation/entrepreneurship and real options valuation, and specialised tools for business modelling, with an emphasis on the application of decision making techniques.

Content

  • Real options and decision making under uncertainty
  • Valuing projects and companies usuing standard Net Present Value (NPV)
  • Valuing common real options and valutation principles
  • Valuing complex projects with embedded options using binomial trees in Excel
  • Problem structuring and business option modelling
  • Using analytic models to value options to acquire (call) and switch resources
  • Resource redeployment and MNC's option network of multinational operations
  • Valuing options using binomial trees with two correlated assets
  • Valuing growth companies and intangible assets as options (e.g., patents, brand)
  • Competition and strategy integrating options and game theory.

Learning Outcomes

Subject-specific Knowledge:

  • By the end of the module students will be able to:
  • Have a critical appreciation and understanding of the complexities, challenges and uncertainties of decision making, business modelling, and how to structure complex business decision problems under uncertainty
  • Have an advanced yet practical understanding of the scope and application of modern specialised techniques for project and growth company valuation.

Subject-specific Skills:

  • Be able to understand the complexities and uncertainties of decision-making
  • Understand key principles, valuation methods, and tools underpinning optional decision making under uncertainty and competition
  • Evaluate complex investment projects and company situations and appreciate the scope and means of taking decisions under uncertainty
  • Apply problem-solving and analytical skills to finance, management, strategy, and innovation issues in an uncertain business context
  • Apply business option modelling concepts and tools, including Excel binomial trees
  • Work in small groups to apply the theories via the analysis of real project and company cases.

Key Skills:

  • Planning, organising and time management; analysis of complex problems; problem solving and analysis.

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Learning outcomes will be met through a combination of lectures, seminars , case studies and practical work, supported by guided reading. The summative assessment will consist of a comprehensive final exam with a 100% weighting designed to test students' knowledge of key concepts and tools and their ability to apply those in a business context.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Workshops (a combination of lectures, case studies, small group work and discussions)103 hours30Yes
Preparation and reading120 
Total150 

Summative Assessment

Component: Written ExaminationComponent Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
Timed synchronous exam (online)3 hours100Same

Formative Assessment

Encourage students to work in small groups to analyse and discuss real company case applications.Exercise questions prepared in advance or in-class problem-solving (quantitative).

More information

If you have a question about Durham's modular degree programmes, please visit our Help page. If you have a question about modular programmes that is not covered by the Help page, or a query about the on-line Postgraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.