Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• have expert understanding of relevant theories and methods within one of the main areas Financial Engineering or Operations Research
• knowledge of one or more applications of the theories within the scope of the first two semesters of the degree programme (for example, arbitrage theory and asset pricing, mean-variance analysis, martingale pricing, volatility analysis, quantitative risk management, operations management, project management, business intelligence , supply chain management, or data mining)

Skills

• must be able to identify, formulate and analyse a scientific problem independently, systematically and critically
• must be able to relate the problem to either the financial engineering subject area or the operations research subject area, including explaining the choices that have been made in connection to the delimitation of the problem
• must be able to independently make and justify the choice of theories and methods
• must be able to communicate research-based knowledge and discuss the professional and scientific problems with other people both within mathematics and economics

Competences

• must be able to control work and development situations which are complex, unpredictable and require new models within financial engineering or within operations research
• must be able to initiate and complete collaborations within financial engineering or operations research, and if relevant also other interdisciplinary collaborations, as well as assume professional responsibility
• must be able to independently assume responsibility for own professional development and specialisation

Type of instruction

Project work.

Extent and expected workload

This is a 20 ECTS project module and the work load is expected to be 600 hours for the student.

Exam

Exams