(Award available for year: Master of Science)
On completion of the year/programme students should have provided evidence of being able to:
• demonstrate in-depth, specialist knowledge and mastery of techniques relevant to applying data science in the urban and/or transportation contexts;
• develop a detailed understanding, and creative application, of diverse concepts, information, and techniques at the forefront of urban studies and urban planning;
• apply data science methods to observed urban policy challenges, including understanding the process of policy decision-making, working with external stakeholders and citizens where appropriate;
• take a proactive and self-reflective role in working and to develop professional relationships with others in academic and industrial contexts;
• formulate ideas and hypotheses and to develop, implement, and execute plans by which to evaluate these;
• critically and creatively evaluate current issues, research, and advanced scholarship in the discipline.
Skills Learning Outcomes
Masters (taught), Postgraduate Diploma and Postgraduate Certificate students will have had the opportunity to acquire the following abilities, as defined in the modules specified for the programme:
• practice data science within the urban and/or transportation context, through creative use of modern programming languages and datasets, to shed light on urban and/or transportation phenomena;
• identify, select, and critically evaluate datasets for analysis of urban and/or transportation phenomena;
• The academic and work-ready 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, ensuring continual professional development.
Achievement for the degree of Master (taught programme) will be assessed by a variety of methods in accordance with the learning outcomes of the modules specified for the year/programme and will include:
• evidencing an ability to conduct independent in-depth enquiry within the discipline;
• demonstrating the ability to draw on a range of perspectives on an area of study, evaluate and critique received opinion, and apply breadth and/or depth of knowledge to a complex challenge in a specialist area;
• demonstrating creativity in the application of data science methods towards the understanding of urban and/or transportation challenges;
• making reasoned judgements whilst understanding the limitations on inferences made in the absence of complete data.
Errors, omissions, failed links etc should be notified to the Catalogue Team