(Award available for year: Master of Science)
Subject Specific Learning Outcomes
1. Demonstrate understanding of the theory and application of a range of advanced statistical techniques in different applications.
2. Apply statistical methods in well-defined contexts, showing judgement in the selection and application of techniques.
3. Interpret complex statistical inferences, identifying the assumptions made and drawing appropriate conclusions.
4. Select appropriate statistical models informed by real world data.
5. Demonstrate proficiency in programming for data analytics and the effective presentation of mathematics.
6. Critically interpret the results of a statistical analysis and communicate the resulting conclusions clearly.
7. Undertake a focused and sustained investigation into a contemporary topic in statistics or data analytics.
Skills Learning Outcomes
1. Demonstrate the technical skills to operate as a statistician in a variety of industrial sectors.
2. Present technical mathematical and statistical information to both experts and non-experts.
3. Find and evaluate academic resources.
4. Communicate mathematical concepts and statistical analysis effectively and in a variety of forms.
5. Critically assess personal performance and provide constructive feedback on the work of others.
6. Work independently demonstrating effective time management and decision making.
Masters (Taught) and Postgraduate Diploma students will have had the opportunity to acquire the following abilities as defined in the modules specified for the programme:
- the skills necessary to undertake a higher research degree and/or for employment in a higher capacity in industry or area of professional practice;
- evaluating their own achievement and that of others;
- self direction and effective decision making in complex and unpredictable situations;
- independent learning and the ability to work in a way which ensures continuing professional development;
- critical engagement in the development of professional/disciplinary boundaries and norms.
The majority of modules will be assessed through a combination of in-person exams and coursework assignments. The form of the coursework will vary from module to module but typically would involve solving sets of problems which may or may not require the use of computer packages or computer programming. Project based modules will be assessed through a variety of outputs which may include written submissions and presentations.
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