Computational chemistry is the development and practical application – through high-performance computing – of quantum and classical mechanics (and informatics) to the study of chemical processes ranging from fundamental spectroscopic events in the gas phase to the nature of protein-drug interactions.
Computational chemistry techniques are recognised as important tools in the chemical sciences where they are employed to answer questions posed by fundamental science and to challenging problems faced by industry.
The EaStCHEM Research School of Chemistry offers an online distance learning (ODL) postgraduate certificate in Computational Chemistry and Modelling. The programme will provide a broad knowledge and understanding of computational chemistry which can be built upon by further study, e.g. for an MSc or PhD, or employed for practical applications within the many areas of chemistry and wider industry.
Students will be taught by academic staff at the EaStCHEM Research School of Chemistry, which is a partnership between the Schools of Chemistry at the University of Edinburgh
and the University of St Andrews.
You will be a matriculated student at the University of Edinburgh
where you will access computational and library resources in addition to online teaching activities and material; the University of St Andrews will provide teaching through web technology hosted at Edinburgh. You will be taught by a variety of online teaching and learning methods throughout the duration of each course.
You will be assigned to a personal tutor who will be available to provide advice and support, both academic and in all areas of student life, and as a first point of contact in relation to any issues that may arise.
You will learn and interact with your peers through a range of state-of-the-art online distance learning technologies and have access to a computing cluster in order to learn how to perform an array of computational chemistry calculations and molecular simulations using popular computational chemistry software.
The programme may be studied over 12 or 24 months.
The content of the programme is split into three courses:
Electronic structure theory and classical simulation methods
Computational modelling of materials
Computer-aided drug design
The three programme courses enable participants to study key areas of modern computational chemistry and its applications. This includes the theoretical background and application of quantum and classical techniques to the study of molecular systems, materials and the solid state. In addition, methods of computational chemistry applicable to the modelling of biological processes and to rational drug design are presented.
Knowledge and understanding:
Demonstrate a depth of comprehension and critique in the core elements of the subject area.
Demonstrate strong knowledge of the theoretical framework underpinning computational chemistry.
Think about the manner in which computational chemistry techniques can be systematically improved and why.
Understand the methodology whereby computational chemistry can be applied in order to elucidate chemical problems and aid interpretation of experiment.
Conduct critical analysis and management of data in the appropriate research method.
Develop written, numerical and analytical skills through the production of scientific reports.
Demonstrate competence in applying a range of computational chemistry modelling packages to tackle a broad range of applications.
Provide competent written and oral reports to outline research findings through developing interpersonal, organisational and communication skills.
Students who graduate with the Postgraduate Certificate will enhance their employment prospects for a range of jobs offered by the chemical and related industries, e.g. rational drug design in a small biotechnology company, and catalysis and materials research in a large corporate. In addition this qualification is an ideal platform on which to base further study, i.e. towards an MSc or a PhD.
A UK 2:1 degree, or its international equivalent, in chemistry, physics or other cognate discipline.