Our professionally recognised MSc/PGDip Clinical Pharmacy course and offers a mix of clinical, applied practice, public health and research units, giving you the knowledge and skills to be an excellent clinical pharmacist.
You will also cover applied practice topics including health economics, public health, pharmacy practice research, training others and organisational influences on healthcare.
If you want to undertake research, you will be supported by one of our leading academic researchers to undertake a small-scale clinical research project to complete the MSc award.
Following four compulsory units in Year 1, you can choose from 12 units in Year 2 to tailor the course to your own interests.
There are two learning routes to suit pharmacists in all patient-facing roles and with differing work demands.
This is a completely online route and allows you to study from home at times convenient to you, which is ideal for international students, shift workers and those based outside the Manchester area.
Interactive online learning supplemented by webinars will enhance your skills in optimising drug therapy and clinical problem-solving. This route is open to pharmacists in any patient-facing role.
This route consists of seven study days per year and interactive online learning that will enhance your clinical knowledge, teaching you to optimise drug therapy and develop your problem-solving skills.
You need to be in a patient-facing role and will need both a suitable work environment and work-based tutor. Study days are mandatory.
This route is generally aimed at Band 6 and 7 pharmacists who are seeking to develop within the NHS.
Both routes are open to qualified pharmacists who would like to develop their clinical skills and enhance their practice.
The content of this course is accredited by the Royal Pharmaceutical Society (RPS). We are an RPS Foundation School and are recognised by the RPS for our commitment to pursuing and promoting quality and excellence within the profession.
By working towards foundation level practice, you may be awarded a certificate of professional recognition, which is highly sought after by employers.
This course aims to help you develop:
Apply your knowledge to work
The content of this course has been written by clinical experts with a focus on workplace application.
Varied unit options
This course can be tailored to meet the needs of your own career goals through a range of optional course units in the second year and choice of research dissertation in the final year. We offer a selection of 16 learning units, including unique optional units such as paediatrics, mental health, public health and leadership.
Develop research skills
You will have the opportunity to conduct master's-level research within a university ranked number 1 for research power in pharmacy within the UK in the national Research Excellence Framework (UoA3 REF 2014).
The course uses a range of teaching and learning approaches, including:
Blended or online learning?
We offer both blended and distance learning study options to suit your own location and circumstances.
All students will benefit from:
Blended learning students will benefit from:
Distance learning students will benefit from:
We use a range of assessments that allow you to demonstrate your clinical knowledge and skills in medicines optimisation and critical analysis.
We use a variety of formative and summative assessments including online quizzes and exams, participation in online discussion boards, patient case studies and care plans, oral case presentations, professional development and clinical portfolios and research protocol.
Candidates for all three awards will need to achieve an overall mark of 50% in each course unit to progress.
You will study four core units to build your clinical, problem-solving and critical appraisal skills.
You will choose four optional units from the following:
A choice of research dissertation is offered, based upon your research aspirations and opportunities in your workplace.
This postgraduate qualification will allow you to develop their chosen career path within the pharmacy profession by providing advanced clinical knowledge, problem-solving skills and a critical awareness of the role of pharmacy services within the healthcare system.
Optional specialist units allow you to directly align your learning with their career aspirations.
The course develops pharmacists into individuals who can improve patient care by demonstrating leadership and excellent clinical skills, which is sought-after by employers.
Research is actively promoted and further study to PhD level is possible for successful candidates.
The content of this course is accredited by the Royal Pharmaceutical Society (RPS).
Our course has strong links with the teaching hospitals in and around Manchester.
Many specialist and expert pharmacists contribute to the teaching to create a truly contemporary and progressive course.
The MSc in Advanced Process Integration and Design started in the Department of Chemical Engineering (UMIST) over twenty years ago. The programme was a result of emerging research from the Centre for Process Integration, initially focused on energy efficiency, but expanded to include efficient use of raw materials and emissions reduction. Much of the content of the course stems from research related to energy production, including oil and gas processing.
The MSc in Advanced Process Integration and Design aims to enable students with a prior qualification in chemical engineering to acquire a deep and systematic conceptual understanding of the principles of process design and integration in relation to the petroleum, gas and chemicals sectors of the process industries.
Overview of course structure and content
In the first trimester, all students take course units on energy systems, utility systems and computer aided process design. Energy Systems develops systematic methods for designing heat recovery systems, while Utility Systems focuses on provision of heat and power in the process industries. Computer Aided Process Design develops skills for modelling and optimisation of chemical processes.
In the second trimester, the students choose three elective units from a range covering reaction systems, distillation systems, distributed and renewable energy systems, biorefining, and oil and gas processing. These units focus on design, optimisation and integration of process technologies and their associated heat and power supply systems.
In two research-related units, students develop their research skills and prepare a proposal for their research project. These units develop students skills in critical assessment of research literature, group work, written and oral communication, time management and research planning.
Students then carry out the research project during the third trimester. In these projects, students apply their knowledge and skills in process design and integration to investigate a wide range of process technologies and design methodologies. Recent projects have addressed modelling, assessment and optimisation of petroleum refinery hydrotreating processes, crude oil distillation systems, power plants, waste heat recovery systems, refrigeration cycles with mixed refrigerants, heat recovery steam generators, biorefining and biocatalytic processes and waste-to-energy technologies.
The course also aims to develop students' skills in implementing engineering models, optimisation and process simulation, in the context of chemical processes, using bespoke and commercially available software.
Industrial relevance of the course
A key feature of the course is the applicability and relevance of the learning to the process industries. The programme is underpinned by research activities in the Centre for Process Integration within the School. This research focuses on energy efficiency, the efficient use of raw materials, the reduction of emissions reduction and operability in the process industries. Much of this research has been supported financially by the Process Integration Research Consortium for over 30 years. Course units are updated regularly to reflect emerging research and design technologies developed at the University of Manchester and also from other research groups worldwide contributing to the field.
The research results have been transferred to industry via research communications, training and software leading to successful industrial application of the new methodologies. The Research Consortium continues to support research in process integration and design in Manchester, identifying industrial needs and challenges requiring further research and investigation and providing valuable feedback on practical application of the methodologies. In addition, the Centre for Process Integration has long history of delivering material in the form of continuing professional development courses, for example in Japan, China, Malaysia, Australia, India, Saudi Arabia, Libya, Europe, the United States, Brazil and Colombia.
Assessment is a combination of examinations and submitted coursework.
Examinations take place in the January and May of each year at the University of Manchester. Distance learning students who do not live in mainland UK can take examinations at a local British Council office or University. You would be expected to meet the cost of the supervision of each exam if taken away from Manchester.
The Dissertation Project forms a major part of the MSc course and provides useful practice in carrying out academic research and writing in an area that you are interested in. You learn to apply your knowledge by solving industry-based problems and demonstrate the knowledge you have acquired by solving an original problem. You choose a topic from a wide selection provided by the University's teaching staff and by industry. Students have the opportunity of working with large engineering or engineering software development companies and The Process Integration Research Consortium (comprising approximately 30 international companies) also provides opportunities for students to discuss project work in a large number of engineering related areas.
A full list of course units is avaialble here
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
The MSc course in Advanced Process Design and Integration typically attracts 40 students; our graduates have found employment with major international oil and petrochemical companies (e.g. Shell, BP, Reliance and Petrobras and Saudi Aramco), chemical and process companies (e.g. Air Products), engineering, consultancy and software companies (e.g. Jacobs and Aspen Tech) and academia.
This programme is accredited by the IChemE (Institution of Chemical Engineers).
Process systems engineering deals with the design, operation, optimisation and control of all kinds of chemical, physical, and biological processes through the use of systematic computer-aided approaches. Its major challenges are the development of concepts, methodologies and models for the prediction of performance and for decision-making for an engineered system.
Suitable for engineering and applied science graduates who wish to embark on successful careers as process systems engineering professionals.
The course equips graduates and practising engineers with an in-depth knowledge of the fundamentals of process systems and an excellent competency in the use of state-of-the-art approaches to deal with the major operational and design issues of the modern process industry. The course provides up-to-date technical knowledge and skills required for achieving the best management, design, control and operation of efficient process systems.
Process systems engineering constitutes an interdisciplinary research area within the chemical engineering discipline. It focuses on the use of experimental techniques and systematic computer-aided methodologies for the design, operation, optimisation and control of chemical, physical, and biological processes, e.g. from chemical and petrochemical processes to pharmaceutical and food processes.
A distinguished feature of this course is that it is not directed exclusively at chemical engineering graduates. Throughout the years, the course has evolved from discussions with industrial advisory panels, employers, sponsors and previous students. The content of the study programme is updated regularly to reflect changes arising from technical advances, economic factors and changes in legislation, regulations and standards.
By completing this course, a diligent student will be able to:
This MSc degree is accredited by Institution of Mechanical Engineers (IMechE)
The taught programme for the MSc in Process Systems Engineering is delivered from October to February and is comprised of six compulsory taught modules. There are four optional modules to select the remaining two modules from.
The Group Project, which runs between February and April, enables you to put the skills and knowledge developed during the course modules into practice in an applied context while gaining transferable skills in project management, teamwork and independent research. The group project is usually sponsored by industrial partners who provide particular problems linked to their plant operations. Projects generally require the group to provide a solution to the operational problem. Potential future employers value this experience. This group project is shared across the MSc in Process Systems Engineering and other courses, giving the added benefit of gaining new insights, ways of thinking, experience and skills from students with other backgrounds
During the project you will develop a range of skills including learning how to establish team member roles and responsibilities, project management, and delivering technical presentations. At the end of the project, all groups submit a written report and deliver a presentation to the industrial partner. This presentation provides the opportunity to develop interpersonal and presentation skills within a professional environment.
It is clear that the modern engineer cannot be divorced from the commercial world. In order to provide practice in this matter, a poster presentation will be required from all students. This presentation provides the opportunity to develop presentation skills and effectively handle questions about complex issues in a professional manner.
Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.
The individual research project allows you to delve deeper into a specific area of interest. As our academic research is so closely related to industry, it is very common for our industrial partners to put forward real-world problems or areas of development as potential research topics.
The individual research project component takes place between April/May and August for full-time students. For part-time students, it is common that their research projects are undertaken in collaboration with their place of work under academic supervision; given the approval of the Course Director.
Individual research projects undertaken may involve designs, computer simulations, feasibility assessments, reviews, practical evaluations and experimental investigations.
Taught modules 40%, Group project 20% (dissertation for part-time students), Individual Research Project 40%
To help students in finding and securing appropriate funding we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.
This Masters degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills.
Taught by experienced academics based in both Leeds University Business School and the School of Mathematics, you’ll cover key topics including financial derivative pricing, discrete and continuous time models, risk management and portfolio optimisation, as well as statistical methods for finance.
You will be equipped with a rare combination of mathematical skills and the latest business finance knowledge, which is highly sought after in the financial sector by banks, investment and consultancy companies. It’s also excellent preparation if you’re interested in pursuing further academic research.
This course is ideal if you’ve previously studied finance, economics, mathematics, physics or computing, and are interested in applying your skills to financial markets.
As a student, you will be able to access the knowledge of our advanced specialist research units, which also have strong links with leading institutions in the US, Europe and Asia. These include the Centre for Advanced Study in Finance (CASIF), the Institute of Banking and Investment (IBI) and the Credit Management Research Centre (CMRC).
This research makes an important contribution to your learning on the MSc Financial Mathematics; you will benefit from a curriculum that is informed by the latest knowledge and critical thinking.
You will also benefit from our strong relationships with the finance, credit and accounting professions. This provides a connection to the latest practitioner and policy developments, giving you a masters degree that is relevant to the contemporary environment.
In your first semester you’ll develop a broad understanding of corporate finance and how financial theory relates to practice in business and financial markets. This will put your mathematical studies into context while you develop your skills in applied statistics and probability, optimisation methods and discrete time finance.
You’ll build on these skills in topics such as continuous time finance, risk management and computational methods. You’ll also gain specialist knowledge in topics that suit your career ambitions such as risk and insurance, actuarial science and behavioural finance.
The programme will improve your research skills and allow you to study different research methodologies, including those employed by our own leading academics. This will prepare you for your dissertation – an independent research project on a topic of your choice that you’ll submit by the end of the year.
You'll also take two optional modules.
We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning and tutorials. Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.
In addition to the assessed modules and research dissertation, you benefit from professional training activities and employability workshops. Thanks to our links with major companies across the business world, you can also gain a practical understanding of key issues.
Recent activities have included CV building and interview sessions, professional risk management workshops and commercial awareness events. For example, students have developed their knowledge of financial markets through a one-week trading simulation. Read more about professional development activities for postgraduate finance students.
Assessment methods emphasise not just knowledge, but essential skills development too. They include formal exams, group projects, reports, computer simulation exercises, essays and written assignments, group and individual presentations.
This diversity enables you to develop a broad range of skills as preparation for professional life.
You have various opportunities open to you as a Financial Mathematics graduate, including: quantitative analysis, risk management, investment banking, financial consultancy, insurance, accounting and academia.
Previous graduates have gone on to secure employment with Allianz (London), AstraZeneca, Barclays, Cathay Life Insurance, CITIC Group, Commerzbank, Deloitte, First Direct, Gaz de France, HSBC, KPMG, Moody’s, PricewaterhouseCoopers, Royal Bank of Scotland, RSA and UK Government Actuary’s Department.
We help you to achieve your career ambitions by providing professional development support and training as part of the course. You benefit from the support of a professional development tutor, who will work with you to develop the important professional skills that employers value.
Read more about our careers and professional development support.
The University of Leeds Careers Centre also provides a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website
Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies.
It is designed to build your competence and confidence in the R&D and engineering tasks that are demanded of scientific engineers in the renewable and sustainable-development sector.
This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.
As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.
Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.
The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.
Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.
Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.
This programme investigates both renewable energy and systems technologies in order to produce scientific researchers and engineers who are competent in the R&D and engineering tasks applicable to the renewable energy and sustainable development sectors.
Its primary aims lie in developing a global understanding of the major types of renewable energy technologies, in-depth knowledge of the technology for biomass-based renewable energy, and knowledge and skills in systems modelling and optimisation.
A balanced curriculum will be provided with a core of renewable energy and systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.
An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.
Knowledge and understanding
The programme aims to develop the knowledge and understanding in both renewable energy and systems engineering. The key learning outcomes include:
Intellectual / cognitive skills
The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation. The key learning outcomes include the abilities to:
Professional practical skills
The programme primarily aims to develop skills for applying appropriate methods to analyze, develop, and assess renewable technologies and systems. The key learning outcomes include the abilities to:
Key / transferable skills
The programme aims to strengthen a range of transferable skills which are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation. The key learning outcomes include the further development of the skills in the following areas:
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
This programme is now closed but you may want to consider other courses such as the Mathematics MSc.
The Financial Mathematics MSc programme enables graduates and professionals with a strong mathematical background to research, develop and apply quantitative and computational techniques to investment and risk management. Based in the Department of Mathematics, this course has a superb reputation for research-led teaching and strong links to industry.
Financial Mathematics studies problems of optimal investment and risk management, and this course covers a diverse range of topics, from classical options pricing to post-crisis investment and risk management
Like any branch of applied mathematics, financial mathematics analyses a given problem by first building a mathematical model for it and then examining the model. Both steps require detailed knowledge in different areas of mathematics, including probability, statistics, optimisation, computer science and many more traditional fields of mathematics.
Our Financial Mathematics MSc course is a unique study pathway that encompasses the essential skills required for successful risk management, trading and research in quantitative finance: probability, statistics, optimisation, computing and financial markets. You will explore probability theories, risk neutral valuation, stochastic analysis as well as interest rate and credit risk modules. We also offer you the opportunity to study an additional zero-credit supportive module called mathematical analysis for financial mathematics.
The Financial Mathematics MSc programme offers you the choice to study either full or part-time and is made up of optional and required modules. You must take modules totalling 180 credits to complete the course. If you are studying full-time, you will complete the course in one year, from September to September. If you are studying part-time, your programme will take two years to complete, you will study the required modules in the first year, and a further selection of required and optional modules including the 60-credit financial mathematics report module in your second year.
Bloomberg terminal laboratory
King’s is one of only a few academic departments in the UK that offers full access to Bloomberg terminals. These terminals will provide you access to live financial data. They are heavily used within the financial industry, and the data they provide is critical in assisting traders in making investment decisions and for risk managers monitoring investment probabilities. We have 13 Bloomberg terminals available for exclusive use by the Financial Mathematics MSc programme.
You will use the Bloomberg terminals to:
The skills you will learn from using the terminals are highly valued by employers. King’s is part of a strong network of financial mathematics in London with connections both in academia and in the industry.
We are also members of the University of London and by arrangement, you can enrol in optional modules at other institutions within the University of London, which includes Birkbeck, London School of Economics and Political Sciences, University College London and many others.
This programme is suitable for students or professionals with a strong mathematical background. It covers the principles and techniques of quantitative finance to prepare students for advanced work in the financial sector or research in mathematical finance.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
Average per week: Three hours for 11 weeks per each 15 credit module.
You are expected to spend approximately 10 hours of effort for each credit (so for a typical module of 15 credits this means 150 hours of effort).
The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations.
Our graduates are highly sought after by investment banks, corporate risk management units, insurance companies, fund management institutions, financial regulatory bodies, brokerage firms, and trading companies. Recent employers of our graduates include, Capital Investment, Credit Suisse, European Bank for Reconstruction & Development, Fitch Ratings, HSBC and Morgan & Stanley. Some graduates have pursued research degrees in financial mathematics.