Outcomes

1. Identify a problem, formulate an appropriate hypothesis, generate experimental data, and make correct interpretations and appropriate deductions.
2. Work harmoniously with co-workers in the same working environment, in groups with others in the solution of problems and the carrying out of projects.
3. Work independently in the mastery of subject contents, the performance of practical projects and the compilation of reports.
4. Plan and execute a research programme under supervision and relate the findings to the existing body of knowledge in the field.
5. Find, evaluate and integrate technical literature, use appropriate and correct technical language and terminology in reports.
6. Perform the practice of science and technology effectively and responsibly.
7. Plan, analyse and honestly reporting on an investigation with due regard to the impact of the problem and its solution on the physical or social environment and, if required, modify the proposal to accommodate any problems or difficulties encountered.
8. Use different techniques to assimilate and analyse data, by reading, discussion, calculation, reporting and presentation of projects and seminars.
9. Be able to explain the relevance and importance of he specific subject to the community.
10. Demonstrate an awareness of the impact of statistical science on a multicultural societal environment and the differing needs and expectations of society.
11. Investigate further possibilities of training and employment.
12. Investigate and evaluate entrepreneurial possibilities in the appropriate field and also the relevance of the chosen field of society.
13. Identify, interpret, analyse and address complex problems, using both routine and advanced skills, conceptual and/or evidence-based enquiry and theory-driven arguments.
14. Work effectively with others in a team by being answerable for their own work and the work of others.
15. Identify, evaluate and address their own professional and on-going learning needs.
16. Demonstrate efficient and effective information retrieval and processing skills, using appropriate Information and Communications Technology (ICT).
17. Demonstrate a comprehensive, systematic and critical knowledge and understanding of the principles, scope, theories and epistemologies of Mathematical Statistics.
18. Evaluate their own and others academic work and initiatives against informed criteria.
19. Present and communicate ideas and texts, offering professional insights, interpretations and solutions to problems and issues appropriate to Mathematical Statistics.
20. Use science and technology in complex and challenging contexts and make autonomous ethical decisions on complex professional issues in accordance with recognised professional and/or ethical standards.
21. Critique current research and advanced scholarship in Biochemisty and make sound theoretical judgements based on evidence.
22. Identify, select and apply a range of research methodologies and methods/techniques to research problem/s in Mathematical Statistics.
23. Identify, analyse, synthesise and undertake independent evaluation of quantitative and/or qualitative data, and to engage with and evaluate current research and scholarly or professional literature in Mathematical Statistics.

Assessment Criteria