Learning Outcome 1: Communicate complex academic and professional issues clearly to specialist and non-specialist audiences.
Learning Outcome 2: Demonstrate competency in the numeracy and IT skills in ways that are appropriate to the professional context of project management.
Learning Outcome 3: Collaborate effectively with others in ways appropriate to the professional context and the demands of project management.
Learning Outcome 4: Demonstrate a comprehensive and critical understanding of risk, risk mitigation, probability theory, PERT, MCS and IT application in risk analysis.
Learning Outcome 5: Demonstrate a systematic and critical understanding within risk mitigation and understanding of how techniques are used to interpret the risk factors in projects.
Learning Outcome 6: Integrate and synthesise diverse knowledge, evidence, concepts theory and practice to resolve the risk in projects.
Learning Outcome 7: Make logical and arguable conclusions on the basis of incomplete and/or contested data in the Simulation, MCS and Sensitivity analysis in projects or management.
Learning Outcome 8: Demonstrate technical skills on probability theory, distributions, and data analysis and propose collective suggestion at a professional or equivalent level.
Learning Outcome 9: Can act autonomously in identifying, adopting and implementing techniques, balance, write and evaluate outcomes in risk relating to project management at a professional or equivalent level.
Learning Outcome 10: Operate ethically in a complex and unpredictable and specialised situation with a critical understanding of the issues governing good practice in the field.