MSc Chemical Biology and Drug Design
(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 of techniques relevant to the discipline or to demonstrate an advanced understanding of concepts, information and techniques informed by knowledge across, or in aspects at, the forefront of the discipline;- exhibit competence in the exercise of generic and subject-specific intellectual abilities;- demonstrate an advanced understanding of techniques applicable to their own research, advanced scholarship or area of specific interest within the broader 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.
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;- 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 on an area of study;- evaluating received opinion;- making sound judgements whilst understanding the limitations on judgements made in the absence of complete data.