What you will study
You will gain key skills in the specialised area of pharmaceutical analysis, including good measurement and scientific practice, evaluation interpretation of data, and other professional and organisational skills. In addition to studying core analytical techniques and their applications, you will be introduced to various pharmaceutical technologies, for example, formulations and topics such as clinical pharmacokinetics.
You may be offered a placement within industry (depending on your results and project availability) where you will carry out your independent research project.
The Management Studies option enables you to explore the fundamentals of management theory within the commercial and public sectors.
Please note that this is an indicative list of modules and is not intended as a definitive list.
For a student to go on placement they are required to pass every module first time with no reassessments. It is the responsibility of individual students to find a suitable paid placement. Students will be supported by our dedicated placement team in securing this opportunity.
Modules
Core modules
Molecular and Atomic Spectroscopy
30 credits
This module introduces the main spectroscopic techniques used in industry, e.g. UV/Vis, FTIR, Mass Spectrometry, NMR, AES, AAS and X -Ray methods and later progresses to the more advanced designs and applications, eg MS/MS, FTMS, TOF, sector and quadrupole mass analysers, 2D NMR, LCMS, MALDI, Atomic Fluorescence and ICPMS/AES.
Separation Science
30 credits
This module introduces students to the principles and theory of separation science and its application in the laboratory including solvent extraction, high performance liquid chromatography, gas/liquid chromatography, centrifugation, gel and capillary electrophoresis and hyphenated techniques.
Pharmaceutical and Analytical Technology
30 credits
The module is intended to ensure that students are aware of the processes by which a drug is formulated into a medicine. It examines the effect that formulation decisions have on the safety, efficacy and quality of medicines, and on the pharmaceutical industry's business model. It includes the principles of pharmaceutical analysis and the application of pharmaceutical analytical techniques (both routine and non-routine) for the design, process- and quality-control of manufactured pharmaceuticals and process-intermediates. It is designed to enable students to review instrumentation choices when confronted with pharmaceutical issues and to select the appropriate tool(s). It also looks at the emerging quality assurance concepts of process analytical technology and quality by design. The module aims are:
- To analyse aspects of pharmaceutical development and manufacturing including process analysis.
- To extend the students' knowledge of total quality management and apply it to the analytical laboratory in the pharmaceutical industry.
- To provide current examples of the applications of the techniques studied in this course specifically to pharmaceutical problems.
Statistics and Quality Systems
30 credits
The module introduces students to the role of statistics and quality systems in modern analytical science. It demonstrates how a thorough understanding of statistical concepts, the analytical process and the quality systems and quality management paradigms collectively enable the consistent and reliable interpretation of analytical chemical data to support the economic requirements of a business organisation.
Project
60 credits
This module involves a research- or industry-based in-depth research project. You will develop your ability to critically evaluate your own work as well as the work of others, utilising analytical and laboratory skills.
On successful completion of the module, you will be able to:
- Prepare a realistic and coherent project proposal, formulate aims and objectives and plan your own time to achieve stated objectives.
- Critically evaluate the current literature.
- Carry out appropriate experiments in a safe manner (applying COSHH) and generate reliable data suitably analysed and apply appropriate statistical tests.
- Communicate the results of the project in a coherent report and in oral and visual manner.
