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Masters Degrees (Optimisation)

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Medicines optimisation describes a system of processes and behaviours that determines how medicines are used by patients and the NHS. Read more

Medicines optimisation describes a system of processes and behaviours that determines how medicines are used by patients and the NHS. Effective medicines optimisation places the patient as the primary focus of interventions by healthcare professionals and is a key driver for NHS modernisation in the UK.

Whether you are working in primary or secondary care, in a GP surgery, a community pharmacy or for a hospital trust, the medicines optimisation programme will equip you with the skills and knowledge to contribute effectively to medicines optimisation services and to individual drug therapy decisions.

The core courses will give you a full understanding of medicines optimisation in the NHS and how it contributes to getting the maximum benefits for patients and the best value for money. You can then choose from a wide range of options to suit the focus of your own clinical practice setting, to support continuing professional development or as a training package to support service developments in primary or secondary care.

The programme is delivered by flexible learning and is structured to enable you to incorporate learning directly into the workplace. The material provided for self-study is designed for use by all health professionals involved in medicines management and reflects the most recent evidence and practice.

Pathways to MSc award

There are three main pathways to the qualification of MSc Medicines Optimisation. Students can take the PGCert Independent/Supplementary Prescribing for either the first or the second 60 credits of the medicines optimisation programme; they can complete optional and compulsory courses to reach achieve both Certificate and Diploma; or they can begin with the one of our 30-credit short courses and then transfer to the full Certificate if they wish to do so. Please visit the school website: http://www.msp.ac.uk/studying/postgraduate/msc-med-management/index.html or contact the postgraduate office on  for more details.

Postgraduate Certificate (PG Cert)

The postgraduate certificate consists of two compulsory courses and a selection of 40 credits from the list of options. The compulsory courses at this stage are: Medicines Management in Practice (10 credits) and Consultation and Communication in Practice: Patients as Partners (10 credits). 

Postgraduate Diploma (PG Dip)

The postgraduate diploma consists of two compulsory courses and a selection of 40 credits from the list of options. The compulsory courses at this stage are: Using Evidence Effectively (10 credits) and Medication Review in Practice (10 credits).

MSc

Students who have successfully completed the first 120 credits can continue to the MSc. This consists of a research project, supported by academics with expertise in practice research. Students will gain expertise in research techniques, be supported to write a protocol and complete either an NHS or University Ethics application and collect and analyse data.

Assessment

  • PG Certificate and Diploma assessment is through the completion of work-based case studies and assignments. Generally a 5-credit course is assessed via completion and submission of case studies. Additional written work is required for 10-credit courses. Guidance is given on word length which will usually reflect the allocation of marks. If this is not the case, the marking system will be clearly outlined
  • MSc students are assessed through completion of the research project.

Careers

This degree equips you to work more closely with other healthcare professionals in primary care, particularly GPs and CCGs, while developing clinical skills in your chosen specialty areas of care and offering you the opportunity to qualify as a non-medical prescriber.



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Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Read more
Businesses, organisations, and individuals all strive to work as effectively as possible. Operational research uses advanced statistical and analytical methods to help improve the complex decision-making processes to deliver a product or service. Working in this field, you might be identifying future needs for a business, evaluating the time-life value of a customer, or carrying out computer simulations for airlines.

Our MSc Statistics and Operational Research will appeal if your first degree included mathematics as its major subject, and we expect you to have prior knowledge of statistics – for example significance testing or basic statistical distributions – and operational research such as linear programming.

You specialise in areas including:
-Continuous and discrete optimisation
-Time series econometrics
-Heuristic computation
-Experimental design
-Machine learning
-Linear models

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

This course can also be studied to a PGDip level - for more information, please view this web-page: http://www.essex.ac.uk/courses/details.aspx?mastercourse=PG00808&subgroup=2

Our expert staff

Our Department of Mathematical is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

Our MSc Statistics and Operational Research will equip you with employability skills like problem solving, analytical reasoning, data analysis, and mathematical modelling, as well as training you in independent work, presentation and writing skills.

Your exposure to current active research areas, such as decomposition algorithms on our module, Combinatorial Optimisation, prepares you for further study at doctoral level. Graduates of this course now hold key positions in government, business and academia.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Nonlinear Programming
-Combinatorial Optimisation
-Modelling Experimental Data (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)
-Applied Statistics (optional)
-Bayesian Computational Statistics
-Research Methods
-Dissertation
-Ordinary Differential Equations (optional)
-Graph Theory (optional)
-Partial Differential Equations (optional)
-Portfolio Management (optional)
-Machine Learning and Data Mining (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Time Series Econometrics (optional)
-Panel Data Methods (optional)
-Applications of Data Analysis (optional)
-Mathematical Research Techniques Using Matlab (optional)

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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. Read more

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.

Distance learning

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.

Blended learning

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.

Accreditation

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.

Aims

This course aims to help you develop:

  • advanced knowledge and understanding of the management of a range of acute and chronic conditions;
  • skills in medicines optimisation and the ability to communicate with a range of healthcare professionals to promote the appropriate use of medicines;
  • skills in the critical evaluation of a range of health services literature.

Special features

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).

Teaching and learning

The course uses a range of teaching and learning approaches, including:

  • the Blackboard learning management system
  • e-lectures, podcasts and webinars
  • online discussion forums and wikis
  • e-journals.

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:

  • shared learning content online;
  • content mapped against the RPS Foundation Practice Framework;
  • mixed assessment methods;
  • access to expert academic staff and clinical teachers.

Blended learning students will benefit from:

  • study days at the University;
  • a workplace tutor and workplace-based learning;
  • RPS Foundation Recognition.

Distance learning students will benefit from:

  • study webinars;
  • academic advisors;
  • access to materials to pursue RPS Recognition.

Coursework and assessment

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.

Course content for year 1

You will study four core units to build your clinical, problem-solving and critical appraisal skills.

  • Foundations of Clinical Pharmacy
  • Medicines Optimisation and Therapeutics 1
  • Medicines Optimisation and Therapeutics 2
  • Evidence Based Practice

Course content for year 2

You will choose four optional units from the following:

  • Mental Health
  • Paediatrics
  • Specialist Medicines Optimisation and Therapeutics
  • Sexual Health and Reproductive Services
  • Cancer Awareness, Detection and Screening Services
  • Population Screening and Weight Management
  • Substance Use and Misuse Services
  • Introduction to Pharmacy Public Health Services
  • Education and Training
  • Leadership and Management
  • Health Economics
  • Research Methods
  • Surgery

Course content for year 3

A choice of research dissertation is offered, based upon your research aspirations and opportunities in your workplace.

Career opportunities

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. 

Accrediting organisations

The content of this course is accredited by the Royal Pharmaceutical Society (RPS).

Associated organisations

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.



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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. Read more

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.

Who is it for?

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. 

Why this course?

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: 

  • Evaluate the technical, environmental and economic issues involved in the design and operation of process plants and the current practice in process industries.
  • Apply effectively the knowledge gained to the design, operation, optimisation and control of process systems via proper methodologies and relevant software.
  • Apply independent learning, especially via the effective use of information retrieval systems and a competent and professional approach to solving problems of industrial process systems.
  • Apply and critically evaluate key technical management principles, including project management, people management, technology marketing, product development and finance.
  • Apply advanced approaches and use effectively related tools in more specialised subjects related to process industries (for example risk management, biofuels or CFD tools).
  • Integrate knowledge, understanding and skills from the taught modules in a real-life situation to address problems faced by industrial clients; creating new problem diagnoses, designs, or system insights; and communicating findings in a professional manner in written, oral and visual forms.
  • Define a research question, develop aim(s) and objectives, select and execute a methodology, analyse data, evaluate findings critically and draw justifiable conclusions, demonstrating self-direction and originality of thought.
  • To communicate his/her individual research via a thesis and in an oral presentation in a style suitable for academic and professional audiences.

Accreditation

This MSc degree is accredited by Institution of Mechanical Engineers (IMechE).

Course details

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.

Group project

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.

Individual project

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.

Typical research areas include:

  • Design, simulation and optimisation of process or energy systems.
  • Advanced process control methodologies.
  • Instrumentation and process measurement systems.
  • Multi-phase flow and processes.
  • Renewable energy systems.
  • Studies involving environmental issues.

Assessment

Taught modules 40%, Group project 20% (dissertation for part-time students), Individual Research Project 40%.

Your career

Graduates of the course have been successful in gaining employment in:

  • Engineering consultancies and design practices
  • Industry (oil and gas, petrochemical, chemical, food and drink, water and energy)
  • Research organisations
  • Central government departments
  • Local governments
  • Academic institutions.


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The MSc in Advanced Process Integration and Design started in the Department of Chemical Engineering (UMIST) over twenty years ago. Read more

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.

Coursework and assessment

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.

Course unit details

A full list of course units is avaialble here

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

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.

Accrediting organisations

This programme is accredited by the IChemE (Institution of Chemical Engineers).



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This is a six, eight or twelve month, part-time, distance learning programme which enables a wide range of healthcare professionals to qualify as non-medical prescribers. Read more

This is a six, eight or twelve month, part-time, distance learning programme which enables a wide range of healthcare professionals to qualify as non-medical prescribers. Pharmacists, nurses, physiotherapists, podiatrists and therapeutic radiographers can qualify as independent prescribers while dieticians and diagnostic radiographers can qualify as supplementary prescribers. The qualification gained meets the standards set by the respective professional/regulatory bodies.

Nine study days at the university cover communication and diagnostic skills, the legal, policy, professional and ethical aspects of prescribing, pharmacology, and patient assessment and monitoring. Students also spend 90 hours shadowing prescribers in clinical practice working in their chosen specialist area.

Not sure you are ready? Try our Preparing for Prescribing (P4P) short courses first. See Medway School of Pharmacy website for more details: http://www.msp.ac.uk/studying/postgraduate/supp-independent-prescribing/index.html

Level 6

Nurses can choose to study at Level 6 rather than Level 7. Those who study at Level 6 gain institutional credit (45 credits at Level 6). The two levels are taught together and are mapped to the same requirements as validated by the NMC but there is variation in the academic outcomes and expectations and are marked accordingly. There are four compulsory courses to complete.

Postgraduate Certificate (PG Cert)

The full Level 7 programme gains you 60 credits and the award of a Postgraduate Certificate. There are four compulsory courses to complete. You can take the programme as a standalone Postgraduate Certificate in Independent/Supplementary Prescribing, or as one pathway into the Medicines Optimisation programme by studying prescribing as either the first or second year of the Medicines Optimisation postgraduate diploma. See the page on the PG Cert/Dip/MSc Medicines Optimisation for more details. [Link to Medicines Optimisation page – was Medicines Management]

Who we are

The programme is run at the Medway School of Pharmacy by academics and healthcare professionals active in clinical practice. All of the team are qualified Non-Medical Prescribers.

What you'll study

PG Cert Independent/Supplementary Prescribing P11173

  • Non-medical Prescribing in Context (15 credits)
  • Safe and Effective Prescribing (15 credits)
  • Consultation and Decision Making (15 credits)
  • Putting Prescribing into Practice (15 credits)

Practice Credit Prescribing (Independent and Supplementary) for Nurses P13199

  • Background to Non-Medical Prescribing (10 credits)
  • Prescribing Safely and Effectively (10 credits)
  • Embedding Prescribing in your Consultations (10 credits)
  • The Practice of Prescribing (15 credits)

Assessment

  • Course 1: Case study assignment, Legislative essay
  • Course 2: Numeracy exam, Multiple choice exam, Pharmacology seen essay examination,
  • Course 3: Evidence based assignment, Practical assessment
  • Course 4: Narrative based on portfolio entries covering 90 hours in clinical practice and attendance of period of learning in practice.

Professional recognition

On successful completion, the school will notify the appropriate professional/regulatory body (GPhC, NMC or HCPC) that you have qualified as an independent/supplementary prescriber.

Careers

There is high and rising demand for both non-medical prescribing nurse practitioners and pharmacists in GP surgeries or other primary care settings. There are also enhanced career opportunities for radiographers, physiotherapists and podiatrists with the prescribing qualification.

Attendance

Distance learning with eight (nine for nurses) compulsory study days at the university. Plus 90 hours in clinical practice.

Find out more information about the Medicines Management Programme.



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This new engineering masters has been developed specifically for graduate engineers. Build your skills, knowledge and understanding of engineering design practice, modern design tools, and advanced engineering technologies. Read more
This new engineering masters has been developed specifically for graduate engineers. Build your skills, knowledge and understanding of engineering design practice, modern design tools, and advanced engineering technologies. Advance your professional competency and readiness to tackle complex engineering challenges, whilst fulfilling the educational requirements of the Chartered Engineer Standard (CEng).

Key features

-Designed so that graduate engineers can fulfil the educational requirements of the CEng Standard.
-Advance your professional competency and work place readiness.
-Develop a rigorous understanding of engineering design methodology; modern design tactics and practice; and the theory of technical systems.
-Acquire deeper understanding of computer aided engineering techniques; the modelling and analysis of engineering systems; and verification, validation and optimisation techniques.
-Deepen your knowledge and understanding of a technological subject or aspect of professional practice that is pertinent to your own professional development needs.
-Demonstrate innovation and creativity to solve a complex engineering problem in your dissertation project.
-Exploit the broad range of engineering research and technical facilities of the University.
-Study over one year full time or two years part time.

Course details

This programme (subject to validation) involves 180 credits of study at Level 7 with a flexibility to meet your individual development needs. The core modules in advanced engineering design will be complemented by negotiated study options and a 60 credit individual dissertation project.

The advanced engineering design modules will allow you to explore systems design, product modelling, design management, and the strategies and tactics of modern design practice. Through a project-based learning approach, you'll have the opportunity to develop competency in computer aided engineering and design optimisation tools. The negotiated study options allow you to deepen your knowledge of an engineering topic and/or professional practice, whilst the dissertation project will allow you to use your innovation and creativity to develop solutions to complex problems.

You'll be expected to maintain a record of your continuing professional development to assist you in your application for CEng.

Core modules
-MECH537 Advanced Engineering Design II
-MECH539 Computer Aided Engineering
-MECH541 Engineering Design Dissertation
-MECH542 Product Failure and Materials Optimisation
-MECH536 Advanced Engineering Design I

Optional modules
-MAR528 Mechanics of MRE Structures
-PRCE513 Interdisciplinary Design
-MECH543 Nanotechnology and Medical Engineering
-MECH544 Data Processing, Simulation and Optimisation of Engineering Systems

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This Masters degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills. Read more

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.

Academic excellence

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.

Course content

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.

Course structure

Compulsory modules

  • Corporate Finance 15 credits
  • Dissertation in Financial Mathematics 30 credits
  • Applied Statistics and Probability 15 credits
  • Discrete Time Finance 15 credits
  • Continuous Time Finance 15 credits
  • Risk Management 15 credits
  • Computations in Finance 15 credits
  • Optimisation Methods for Finance 15 credits

Optional modules

You'll also take two optional modules.

  • Security Investment Analysis 15 credits
  • Portfolio Risk Management 15 credits
  • Behavioural Finance 15 credits
  • Financial Derivatives 15 credits
  • International Investment 15 credits
  • Models in Actuarial Science 15 credits

For more information on typical modules, read Financial Mathematics MSc in the course catalogue

Learning and teaching

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

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.

Career opportunities

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.

Careers support

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



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Our Business and Management MPhil and PhD programmes aim to develop rigorous scholars who can advance both academic knowledge and business practice. Read more
Our Business and Management MPhil and PhD programmes aim to develop rigorous scholars who can advance both academic knowledge and business practice. The programmes are designed to equip you with the skills necessary to succeed in a knowledge-intensive environment and to open greater depth to your professional and personal life.

Our research is organised into 15 research centres and groups. Each of these involves externally funded research, international collaboration and the active involvement of doctoral students. A brief outline of some of the disciplines is outlined below.

Human resource management, work and employment

Members of the group have a wide range of research interests in the field of human resource management (HRM), organisational studies and management history. Currently, there are particular interests in the field of international political economy as well as in new patterns of work and organisation, public sector management, gender and industrial relations. Staff members engage in individual research and collaborate with others at universities across the UK and abroad.

Specific areas of research expertise include:
-Business elites and corporate governance in France and the UK
-Entrepreneurial philanthropy
-The International Labor Organisation (ILO) and the ‘decent work’ agenda
-The harmonisation of international aid
-Critical perspectives on international business, post socialist transition, migration and trans-nationalism
-Public service mergers and multi-agency working in the public sector
-New working patterns in mental health services
-Gender and work
-The application of Foucauldian and governmentality perspectives to HRM and management – especially to developments in public services in the UK
-Graduate careers
-Industrial relations and trade union renewal
-Human resource management and performance
-Employee voice and representation
-The micro political economy of work, particularly inter-organisational structures and social networks
-Aging societies, older workers and the world of work
-Embodied and aesthetic labour

Marketing, operations and systems

Our research group activities broadly cover the areas of innovation, enterprise and entrepreneurship, and policy. We have particular interests in the development and pursuit of entrepreneurial opportunities within and outside existing organisations and on the way in which emerging technology trends are interacting with new businesses, management and policy models. Specific areas of research expertise include:
-Corporate entrepreneurship
-E-Business, E-Government and E-Learning
-Entrepreneurial opportunities and new venture emergence
-Information systems and social informatics
-Innovation management and policy
-Knowledge management and organisational learning
-Technology and organisation

Operations

Specific areas of research expertise in this group include:
-Lean operations (both manufacturing and service sectors, particularly health)
-Manufacturing planning, scheduling including optimisation in stochastic environments
-Layout optimisation
-Group technology (applied to design and manufacturing processes)
-Computer aided production management systems
-Modelling, analysis and optimisation of manufacturing systems
-Manufacturing and business strategy

Strategy, organisations and society

This group uses social theory to explore strategic and organisational issues. Grounded in the critical/interpretative tradition, the group has a specific expertise in issues of power, discourse and change. Specific areas of research expertise include:
-Strategy and politics
-Business elites
-Corporate philanthropy
-Discourse analysis and the global financial crisis
-Changes in the media
-Organisational change
-Mega-projects
-Strategy and discourse analysis

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Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies. Read more

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.

Programme structure

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.

Facilities, equipment and academic support

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.

Career prospects

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.

Educational aims of the programme

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.

Programme learning outcomes

Knowledge and understanding

The programme aims to develop the knowledge and understanding in both renewable energy and systems engineering. The key learning outcomes include:

  • State-of- the-art knowledge in renewable energy technologies, in terms of: the sources, technologies, systems, performance, and applications of all the major types of renewable energy; approaches to the assessment of renewable energy technologies; the processes, equipment, products, and integration opportunities of biomass-based manufacturing
  • State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems; mathematical optimization and decision making; process systems design
  • Advanced level of understanding in technical topics of preference, in one or more of the following aspects: process and energy integration, economics of the energy sector, sustainable development, supply chain management

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:

  • Select, define and focus upon an issue at an appropriate level
  • Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
  • Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

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:

  • Assess the available renewable energy systems
  • Design and select appropriate collection and storage, and optimise and evaluate system design
  • Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of renewable energy technologies and systems

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:

  • Preparation and delivery of communication and presentation
  • Report and essay writing
  • Use of general and professional computing tools
  • Collaborative working with team members
  • Organizing and planning of work
  • Research into new areas, particularly in the aspect of literature review and skills acquisition

Global opportunities

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.



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This programme is now closed but you may want to consider other courses such as the . Mathematics MSc. . . Read more

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.

  • A rigorous approach to quantitative finance taught entirely by the Department of Mathematics.
  • In-depth coverage of the skills needed for working in the financial, actuarial or related industry: probability theory, optimisation, statistics and computer implementation.
  • Unrivalled facilities in central London with City of London's financial centre close by, and with access to live market data in our Bloomberg Data Laboratory.
  • Flexible study programme offering the opportunity to study part-time.
  • King’s is a member of the London Graduate School in Mathematical Finance which provides advanced courses for students who wish to push beyond the MSc core syllabus.
  • Lecturers on the programme have extensive experience in consulting and work for financial companies and institutions such as Bank of Finland, Commerzbank, Deutsche Bank, Goldman Sachs, ION Trading, Standard Chartered Bank and Winton Capital Management.

Description

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:

  • Gain an intuition for the conduct of real financial markets
  • Develop potential investment strategies
  • Experience using real-world investment and risk management software and obtain data for research.

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.

Course purpose

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.

Course format and assessment

Teaching

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).

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations.  

Career destinations

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.



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The Anaesthesia and Perioperative Medicine course is based on areas of clinical practice and professional skills that are relevant to all anaesthetic trainees. Read more

The Anaesthesia and Perioperative Medicine course is based on areas of clinical practice and professional skills that are relevant to all anaesthetic trainees.

Face-to-face tuition will be provided in cutting-edge aspects of patient care using an evidence based approach to provide knowledge of clinical practice which extends beyond the scope of the training programme and represents many of the most important areas of development for clinical anaesthesia. The course also includes modules which enable students to gain an in-depth understanding of the professional skills essential for a successful career in the NHS.

Key areas of study

  • Assessment and optimisation
  • High-risk anaesthesia
  • Emergency care
  • Research methods and critical appraisal
  • Communication, learning and teaching in health and social care
  • Leadership and change management in clinical services

Course structure

Modules are assessed by 3,000 word written assignments which are centred on case studies or a relevant topic agreed between the student and the module leader.

PGCert

PGDip

PGCert modules PLUS

MSc

PGDip modules PLUS

Career opportunities

This course is intended to provide anaesthetists with the clinical and professional skills they need to achieve high levels of success in consultant practice.

The course content has been carefully considered to reflect the needs of NHS trusts when recruiting consultant staff and also the wider priorities of the NHS in developing clinical leadership, service development and education.



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This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. Read more
This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. By equipping you with the rigorous modelling and consulting skills needed to understand, manage and communicate useful insights from ‘big data’, it prepares you to inform business decisions or government policies.

Taught modules are delivered by our group of internationally recognised management scientists who are actively working with business, government and non-profit organisations to tackle routine, strategic or policy problems.

Our industry advisory board ensures that the focus of our taught modules is of both academic and practical relevance. IBM, our partner, has jointly developed with us two modules (Customer Analytics and Leading Analytics Initiatives), and sponsors a student prize.

During the summer, you will undertake a supervised consulting or research project. This will give you the opportunity to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy, equipping you with skills highly prized by employers.

Core study areas include consulting for analytics, discovery analytics, decision analytics, managing big data, customer analytics, leading analytics initiatives, operations analytics, policy and strategy analytics, and a consulting or research project.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

Programme modules

Semester 1:
- Consulting for Analytics
You will learn the craft and skills required by analytic consultants, and which employers look for but often find lacking. It will cover process aspects of analytics projects, as well as skills in client interaction, problem structuring and data elicitation (with individuals and/or groups, and with hard/soft data), presenting data-driven analyses, report writing, and developing simple bespoke decision support systems.

- Discovery Analytics
You will be introduced to common statistical methods to explore and visualise cross sectional and temporal data. You will also learn about the design and conduct of data collection efforts, together with methods for dealing with data outliers and missing data. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used.

- Decision Analytics
Your will be introduced to common operational research techniques to help determine the best course of action for a given decision or problem. Topics covered include optimisation, simulation and decision and risk analysis.

- Managing Big Data
Your will learn about the challenges and opportunities derived from the increased volume, variety, velocity and value of data that is available today. A range of big data topics will be covered including data type, data integration, data technologies, and data security.

Semester 2:
- Customer Analytics
You will focus on analytics techniques that can help organisations gain a deeper insight into customers’ behaviour and attitudes towards their products and services. It will cover approaches designed to provide a profile of customer segments, such as those grounded in data mining and multivariate statistical analysis. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used. There is an IBM sponsored student prize on this module.

- Leading Analytics Initiatives
You will learn about the issues associated with implementing an analytics capability in organisations. It will cover topics on how to develop an analytics strategy, how to embed analytics in organisational processes to ensure they deliver value, and how to deploy analytics throughout the organisation to improve decision making. There is an IBM sponsored student prize on this module.

- Operations Analytics
You will focus on analytics techniques that can help organisations to develop a better understanding of operational processes, and identify efficiency and cost reduction opportunities. Topics covered include advanced optimisation and simulation techniques.

- Policy and Strategy Analytics
You will focus on analytics techniques designed to tackle complex policy and strategic issues. It will cover approaches designed to explain the behaviour of complex social systems or assess the consequences of complex decisions, in order to provide the levers for policy and strategy making in a variety of sectors.

Summer:
- Consulting or Research Project

Assessment

Taught modules are assessed by a mixture of coursework and examinations.
The summer project is assessed via a written dissertation.

Careers and further study

Business analytics is a new and rapidly developing field, and individuals with analytics skills are in short supply.
Graduates from this programme can expect to work as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.
We have developed two modules - Customer Analytics and Leading Analytics Initiatives - in close collaboration with our partner IBM, who also sponsor a student prize.

Why choose business and economics at Loughborough?

Loughborough’s School of Business and Economics is a thriving forward-looking centre of education that aims to provide an exceptional learning experience.

Consistently ranked as a Top-10 UK business school by national league tables, our graduates are highly employable and enjoy starting salaries well above the national average.

The rich variety of postgraduate programmes we offer ranges from taught masters, MBA and doctoral programmes, to short courses and executive education, with subjects spanning Management, Marketing, Finance and Economics, Work Psychology, Business Analytics, International Crisis Management and Information Management. New for 2016, we are also launching two exciting new programmes in Human Resource Management. All of this contributes to a lively and supportive learning environment within the School.

- Internationally Accredited
The School of Business and Economics is one of less than 1% of business schools in the world to have achieved accreditation from all three major international accrediting bodies: The Association to Advance Collegiate Schools of Business (AACSB International), EQUIS accreditation from the European Foundation for Management Development (EFMD) and the Association of MBAs (AMBA).

- Career Prospects
Our graduates are in great demand. Over 94% of our postgraduate students were in work and/or further study six months after graduating.* As such, you will be equipped with skills and knowledge that will serve you well in your career or enable you to pursue further study and research.

*Source: DLHE

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

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In the fast-changing world of therapeutics, prescribing and health care provision, prescribers, or those providing prescribing advice, may feel under-equipped to meet Department of Health demands and the challenges that have emerged from the National Institute for Health and Care Excellence (NICE). Read more

Overview

In the fast-changing world of therapeutics, prescribing and health care provision, prescribers, or those providing prescribing advice, may feel under-equipped to meet Department of Health demands and the challenges that have emerged from the National Institute for Health and Care Excellence (NICE). A key development for pharmacists has been the advent of independent pharmacist prescribers, new roles in medicines optimisation and supporting the management of long term conditions. Pharmacists are continually being asked to broaden their role and contribution within primary healthcare. In addition, the requirements for pharmacists to demonstrate their commitment to continual professional development is as strong as ever and is reflected in the recent General Pharmaceutical Council’s announcements regarding the assurance of the continual fitness to practice of pharmacists. Other healthcare professionals have similar requirements in relation to CPD and revalidation.

Choice and flexibility are key features of the Prescribing Studies programme. Healthcare professionals may choose different pathways to reach the awards of Certificate, Diploma and Masters to meet their own specific professional development needs and to advance their professional practice e.g. by undertaking the Independent Prescribing Preparatory Course for Pharmacists. Flexibility is also provided by our CPD Plus+ and CPD Plus+ Open Learn modules which are available as 5, 10, 15 and 30 credit modules.

Why choose a Prescribing Studies Course?

The Centre for Professional Development and Lifelong Learning, part of the School of Pharmacy at Keele University, has a reputation for providing stimulating education programmes for general practitioners, pharmacists, nurses and other members of the health care team. We offer a multidisciplinary approach that ensures our courses encompass a broad range of skills and are responsive to the changing health care environment. We are closely in touch, through our advisors, with NHS development and service needs in primary care. We are recognised nationally as a centre of excellence in the areas of prescribing and audit. For example, the Keele Centre for Medicines Optimisation is based within the School of Pharmacy, and has 20 years of experience of providing tailored, cost-effective, prescribing support and medicines management solutions to the NHS to allow the optimisation of medicines use.

The distance learning format of the courses enables busy health professionals to study where and when it is most convenient to them

See the website https://www.keele.ac.uk/pgtcourses/prescribingstudies/

Course Aims

The overall aim of the Prescribing Studies programme is to offer the opportunity for prescribers (medical and non-medical) and those providing prescribing advice to enhance their knowledge base, skills and understanding of practical therapeutics and prescribing within the context of the larger health care team. The overall programme aims to enable participants to achieve the following learning outcomes:

- Describe and appraise the practical considerations that are relevant to the prescriber in primary care

- Apply clinical and behavioural knowledge and skills to the prescribing process

- Describe the principles underlying rational prescribing

- Apply the principles underlying rational prescribing to specific patient groups

- Describe the therapy of common medical conditions

- Apply evidence-based prescribing to the treatment of common medical conditions

In addition, the student will develop valuable practical skills including written and oral communication, and the ability to design audit projects, collect, analyse and interpret data. The programme will also encourage you to develop the self-discipline of private study, self-directed learning and critical reflection through the use of a reflective portfolio that you can continue beyond your formal study period with Keele in your own Continuing Professional Development.

Teaching & Assessment

Assessment for the Certificate/ Diploma and MSc is entirely by coursework. This may include short problem solving cases, audit or project work. Common to all the courses is the requirement to complete a Reflective Portfolio.

The assessment methods used aim to encourage you to take an active part in your own education and to apply your knowledge to practical situations in the workplace.

Additional Costs

For all programmes you will need regular access to a computer, email and the internet. However apart from additional costs for text books, inter-library loans and potential overdue library fines we do not anticipate any additional costs for our postgraduate programmes, with the exception of those listed below.

DPharm and Independent prescribing course
There will be additional travel and accommodation costs (if required) to attend the face to face study days or meet with your supervisor (DPharm only) on these programmes.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Read more
The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you. You study a balance of solid theory and practical application including:
-Computer science
-Programming
-Statistics
-Data analysis
-Probability

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

You also benefit from being taught in our School of Computer Science and Electronic Engineering, who are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of their research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014).

The collaborative work between our departments has resulted in well-known research in areas including artificial intelligence, data analysis, data analytics, data mining, data science, machine learning and operations research.

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

The academic staff in our School of Computer Science and Electronic Engineering are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist staff working on data analytics include Dr Paul Scott, who researches data mining, models of memory and attention, and artificial intelligence, and Professor Maria Fasli, who researches data exploration, analysis and modelling of complex, structured and unstructured data, big data, cognitive agents, and web search assistants.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We have six laboratories that are exclusively for computer science and electronic engineering students
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-You have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
-We host regular events and seminars throughout the year
-Collaborate with the Essex Institute of Data Analytics and Data Science (IADS) and the ESRC Business and Local Government (BLoG) Data Research Centre of the University of Essex
-The UK Data Archive and the Institute for Social and Economic Research (ISER) at Essex contribute to our internationally outstanding data science environment

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation (optional)
-MSc Project and Dissertation (optional)
-Applied Statistics
-Machine Learning and Data Mining
-Modelling Experimental Data
-Text Analytics
-Artificial Neural Networks (optional)
-Bayesian Computational Statistics (optional)
-Big-Data for Computational Finance (optional)
-Combinatorial Optimisation (optional)
-High Performance Computing (optional)
-Natural Language Engineering (optional)
-Nonlinear Programming (optional)
-Professional Practice and Research Methodology (optional)
-Programming in Python (optional)
-Information Retrieval (optional)
-Data Science and Decision Making (optional)
-Research Methods (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)

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