MA History of Science, Technology and Medicine
(Award available for year: Master of Arts)
On completion of the programme, students should have provided evidence of being able to: - Demonstrate a critical understanding of a range of different historiographical and theoretical approaches to the history of science, technology, and medicine.- Manifest command of a range of practical skills and methodologies in acquiring and using historical evidence. - Display in-depth and specialist knowledge of particular topics within the field of the history of science, technology, and medicine. - Critically evaluate current research and issues in the history of science, technology, and medicine.- Exhibit skills of independent thought and project planning and execution in a dissertation project.
Transferable (key) skills
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;- critical engagement in the development of professional/disciplinary boundaries and norms.
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 involve the achievement of the students in:- evidencing an ability to conduct independent in-depth enquiry within the discipline;- demonstrating the ability to apply breadth and/or depth of knowledge to a complex specialist area;- drawing on a range of perspectives on an area of study;- evaluating and criticising received opinion;- making reasoned judgements whilst understanding the limitations on judgements made in the absence of complete data.