(Award available for year: Postgraduate Diploma)
Learning Outcomes (PGDip):
On completion of the programme students should have shown evidence of being able to:
• demonstrate in-depth, expended and specialist knowledge of GIS techniques and demonstrate an advanced understanding of concepts, information and techniques informed by the GIScience discipline;
• exhibit competence in the exercise of generic and GIScience-specific intellectual abilities;
• demonstrate an advanced understanding of GIScience techniques applicable to research, advanced scholarship or areas of specific interest within the broader GIScience discipline;
• take a proactive and self-reflective role in working and to develop professional relationships with others;
• proactively to formulate ideas and hypotheses and to evaluate these;
• evaluate current issues and research in the discipline of GIScience.
Transferable (key) skills [PGDip]: >/b>
Masters (Taught), Postgraduate Diploma & Postgraduate Certificate 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;
• critically to engage in the development of professional/disciplinary boundaries and norms.
Achievement for the Postgraduate Diploma and Postgraduate Certificate will be assessed by a variety of methods in accordance with the learning outcomes of the programme and will involve the achievement of the students in:
• demonstrating the ability to apply breadth and/or depth of knowledge to a complex specialist area;
• drawing on a range of perspectives related to GIScience;
• evaluating received opinion;
• make sound judgements whilst understanding the limitations on judgements made in the absence of complete data.
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