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Masters Degrees (Optimisation)

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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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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.

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 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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The course provides a detailed exposure to the context, issues and methods used to analyse the increasingly complex problems which are found in the defence environment and to support decision making. Read more

Course Description

The course provides a detailed exposure to the context, issues and methods used to analyse the increasingly complex problems which are found in the defence environment and to support decision making. It exposes the types of analysis and allows practical experience of tools and methods which are used, ranging from judgemental analysis through mathematical techniques to models and simulations. The course includes judgemental elicitation and analysis techniques, mathematical analysis methods (including optimisation), war gaming and combat modelling, logistics modelling and simulation methods. The use and utility of all the methods are explored through practical exercises and studies.

Course overview

The modular form of the course, consisting of a compulsory core and a selection of Standard and Advanced modules, enables you to select the course of study most appropriate to your particular requirements.

Standard modules normally comprise a week of teaching (or equivalent for distance learning) followed by a further week of directed study/coursework (or equivalent for part time and distance learning).

Advanced modules, which will enable you to explore some areas in greater depth, are two week (or equivalent for part time and distance learning) individual mini-projects on an agreed topic in that subject, which includes a written report and oral presentation.

- MSc students must complete a taught phase consisting of eight standard modules, which includes two core modules (Introduction to Operational Research Techniques and Decision Analysis), plus four advanced modules, followed by an individual thesis in a relevant topic. Thesis topics will be related to problems of specific interest to students and sponsors or local industry wherever possible.
- PgDip students are required to undertake the same taught phase as the MSc, but without the individual thesis.
- PgCert students must complete the core module (Introduction to Operational Research Techniques) together with five other modules; up to three of these may be advanced modules.

On successful completion of the course you will:

- Demonstrate a thorough understanding of the methods, techniques and tools for modelling defence problems and systems
- Be able to critically assess a range of approaches and methods to help support defence analysis and decision-making.

10 places are normally available for the full-time cohort.

The course is suitable for both military and civilian personnel, including those from defence industry and government departments

Individual Project

An individual research project on an agreed topic that allows you to demonstrate your technical expertise, independent learning abilities and critical appraisal skills.

Modules

Part-time students will typically not study as a cohort, but will follow an agreed individual programme of study, attending courses as convenient.
Advanced Modules, which typically comprise individual self-study, can be selected to follow on from any standard modules that have been chosen.
Standard Modules, which typically involve traditional classroom instruction and/or VLE-based delivery, can be chosen from the following:

Core -

Decision Analysis
Introduction to Operational Research Techniques

Optional -

Advanced Decision Analysis
Advanced Discrete and Continuous Simulation
Advanced Logistics Modelling
Advanced War Gaming and Combat Modelling
Applied Optimisation
Computational Statistics
Discrete and Continuous Simulation
Further Operational Research Techniques
Intelligent Systems
Intelligent Systems - Research Study
Logistics Modelling
Neural Networks
Optimisation
Statistical Analysis and Trials
War Gaming and Combat Modelling
Weapon System Performance Assessment

Assessment

Continuous assessment, written examinations, oral vivas and (MSc only) thesis.
Proportions of different assessment types will vary according to programme and elective options chosen. For an MSc these might typically comprise 15-24% continuous assessment (written and oral), 36-45% written examinations and 40% thesis/dissertation.

Career opportunities

Equips you for:

- Appointments within the armed forces or government, or in the defence related activities of commercial organisations.
- Further research leading to a PhD.

Further Information

For further information on this course, please visit our course webpage - http://www.cranfield.ac.uk/Courses/Masters/Military-Operational-Research

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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

Course overview

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.

Training and Skills

As a research student you will receive a tailored package of academic and administrative support to ensure you maximise your research and future career. The academic information is in the programme profile and you will be supported by our doctoral training centres, Faculty Training Programme and Research Student Support Team.

For detailed information see http://www.ncl.ac.uk/postgraduate/courses/degrees/business-management-mphil-phd/#training&skills

How to apply

For course application information see http://www.ncl.ac.uk/postgraduate/courses/degrees/business-management-mphil-phd/#howtoapply

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This programme is idea for graduates from engineering, science or other relevant backgrounds and who have an interest in pursuing a successful career in research, technological change and the commercialisation of renewable-energy systems. Read more
This programme is idea for graduates from engineering, science or other relevant backgrounds and who have an interest in pursuing a successful career in research, technological change and the commercialisation of renewable-energy systems.

This programme will give you opportunities to learn about major renewable-energy technologies, energy-sector economics, supply-chain management and sustainable development.

PROGRAMME OVERVIEW

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. 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.
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Technology, Business & Research Seminars
-Renewable Energy Technologies
-Refinery and Petrochemical Process
-Solar Energy Technology
-Advanced Process Control
-Energy Economics and Technology
-Process Systems Design
-Biomass Processing Technology
-Wind Energy Technology
-Process and Energy Integration
-Knowledge-based Systems and Artificial Intelligence
-Supply Chain Management
-Introduction to Petroleum Production
-Process Safety and Operation Integrity
-Economics of International Oil & Gas
-Dissertation

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
-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
-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
-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
-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 designed for graduates in mathematics, engineering, or science with excellent numeracy skills, wishing to pursue careers in the application of mathematics, in traditional areas such as engineering and science and in service areas such as finance and banking, where knowledge of modern applications of mathematics would be advantageous. Read more
This programme is designed for graduates in mathematics, engineering, or science with excellent numeracy skills, wishing to pursue careers in the application of mathematics, in traditional areas such as engineering and science and in service areas such as finance and banking, where knowledge of modern applications of mathematics would be advantageous. The core philosophy of the programme is to equip students both with mathematics and its applications and with high-level scientific software and associated numerical skills. The Greenwich campus, near the financial district of Canary Wharf, enables the department to build ties with many modern engineering and applied mathematics practitioners enabling our students to become part of a wider group. The Leslie Comrie seminar series, inviting both academics and industrialists, allows you to interact with our external links creating an advantageous learning experience. We provide you the grounds for building a high profile of understanding of current research practices in the industry. Our classes contain interactive applications that enhance the learning experience by innovative teaching practices. Utilising research expertise within the department you will graduate with a strong understanding of numerical methods. You will also develop an understanding for further applicability in various fields of applied mathematics and engineering.

This programme is suitable both for fresh graduates and also for experienced professional practitioners who wish to further their skills. The programme core modules cover modern mathematical skills together with applications across different industries, and there are optional professional modules directly related to research expertise within the Faculty. This ensures that students have an advanced understanding of both theory and practice in their selected specialist areas. Students will gain knowledge of mathematical skills and applications, computational skills, and relevant professional experience, related to traditional engineering and science modelling, modern enterprise applications, finance, and service industries. They will gain an understanding of emerging applications. There will be hands-on training in various development tools and in the use of computational software related to their professional direction. Assessment takes the form of 100% coursework, based on applications of current market practices. A supervised thesis project takes place at the end of the last teaching term during the summer months. Projects are allocated in March and students are invited to undertake a project that provides genuine insight in an area of the research interests within the department. The programme is also available on a part-time basis.

Visit the website http://www2.gre.ac.uk/study/courses/pg/maths/appmaths

Mathematics

Postgraduate mathematics students benefit from award-winning teaching and great facilities. Our programmes are informed by world-renowned research and our links with industry ensure our students develop the academic and practical skills that will enhance their career prospects.

What you'll study

Full time
- Year 1:
Option Set 1

Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are required to choose 60 credits from this list of options.

Scientific Software Design and Development (15 credits)
Inverse Problems (15 credits)
Mathematics of Complex Systems (15 credits)
Reliability and Optimisation (15 credits)

Option Set 2
Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are also required to choose 60 credits from this list of options.

Principles and Practice of Evacuation Modelling (30 credits)
Principles and Practice of Fire Modelling (30 credits)

Option Set 3

Students are required to study the following compulsory courses.

English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematical Approaches to Risk Management (15 credits)
Mathematics and its Applications (30 credits)

Students are also required to choose 45 credits from this list of options.

Scientific Software Design and Development (15 credits)
Inverse Problems (15 credits)
Mathematics of Complex Systems (15 credits)
Reliability and Optimisation (15 credits)

Students are also required to choose 15 credits from this list of options.

Enterprise Software Engineering Development (15 credits)
Software Tools and Techniques (15 credits)
Actuarial Mathematics and Risk Modelling (15 credits)
Financial Time Series (15 credits)
Advanced Finite Difference Methods for Derivatives Pricing (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Inverse Problems (15 credits)
Mathematics and its Applications (30 credits)
Reliability and Optimisation (15 credits)

- Year 2:
Students are required to study the following compulsory courses.

Scientific Software Design and Development (15 credits)
Masters Project (Maths) (60 credits)
Computational Methods (15 credits)
Mathematics of Complex Systems (15 credits)

Students are required to choose 15 credits from this list of options.

Advanced Finite Difference Methods for Derivatives Pricing (15 credits)
Mathematical Approaches to Risk Management (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Find out more about our fees and the support available to you at our:
- Postgraduate finance pages (http://www.gre.ac.uk/finance/pg)
- International students' finance pages (http://www.gre.ac.uk/finance/international)

Assessment

100% coursework: a supervised thesis project (during the summer months).

Career options

Our graduates are equipped with the tools to involve in many engineering applications and computational engineering sectors such as reliability engineering, risk management, complex engineering systems, fire safety and finance. Our expert seminar series gives you the opportunity to interact with leading figures from industry and academia and undertake projects of current industry practice. A postgraduate qualification is a major achievement and a milestone in your specialised career path leading to a professional career. The Department also offers a PhD programme which trains highly skilled candidates towards research careers in academia and industry. Our current collaborations for our PhD candidates lie with the STRIKE project for mathematical and computational applications.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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This programme delivers a thorough grounding in current technologies and trends, offering comprehensive training in the fundamentals of the subject. Read more
This programme delivers a thorough grounding in current technologies and trends, offering comprehensive training in the fundamentals of the subject.

It combines high-quality education with rigorous intellectual challenges, enabling you to understand the principles of knowledge management, decision-making and design in process systems and business-information technologies.

PROGRAMME OVERVIEW

The MSc Information and Process Systems Engineering programme is aimed at graduates of traditional engineering, science and related disciplines.

Graduates from non-IT or related disciplines tend to be ill-prepared for the information and knowledge-related challenges and demands of today’s business environments.

We offer a wide selection of modules spanning process engineering, information systems, business and management. All taught modules are delivered by qualified experts in the topics and academic staff, assisted by specialist external lecturers.

PROGRAMME STRUCTURE

This programme is studied full-time over one academic year. Part-time students must study at least two taught technical modules per academic year. The programme consists of eight taught modules and a dissertation. 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.
-Information Security Management
-Optimisation and Decision-Making
-Process Modelling and Simulation
-Technology, Business and Research Seminars
-Database Systems
-Knowledge-Based Systems and Artificial Intelligence
-Process and Energy Integration
-Process Systems Design
-Supply Chain Management
-Biomass Processing Technology
-Process Safety and Operation Integrity
-Process and Energy Integration
-Transition to a Low Carbon Economy
-Dissertation

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.

An extensive library is available for individual study. It stocks more than 85,000 printed books and e-books, and more than 1,400 (1,100 online) journal titles, all in the broad area of engineering. The library support can be extended further through inter-library loans.

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, as well as modelling of process systems.

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, on-going research. In the past, several graduates have carried on their MSc research to a PhD programme.

RESEARCH

Process integration and systems analysis for sustainability of resources and energy efficiency are carried out within our well-established Centre for Process and Information Systems Engineering (PRISE).

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 these programmes will be well prepared to help technology-intensive organisations make important decisions in respect of vast amounts of information, by adopting, combining, implementing and executing the right technologies.

EDUCATIONAL AIMS OF THE PROGRAMME

The primary aims are achieved through a balanced, multi-disciplinary curriculum with a core of information systems engineering modules and decision-making and process systems engineering modules as well as 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.

The programme draws on the stimulus of recent research activities in the Faculty of Engineering and Physical Sciences. The programme provides the students with the basis for developing their own approach to learning and personal development.

PROGRAMME LEARNING OUTCOMES

The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:

Knowledge and understanding
-The sources, technologies, systems, performance, and applications in information and process engineering
-Approaches to the assessment of information and process technologies
-Decision making in complex systems
-Optimisation and operations research
-Technical systems modelling
-Databases and data protection
-Representation of design processes
-Systematic approaches to observing organisational data security processes
-Understanding research issues
-Literature studies and research planning
-Experimental planning
-Communication of research outcomes
-Design of decision-support systems
-Development of databases, ontologies and agent-based architectures
-Information technology and security
-Process modelling and simulation

Intellectual / cognitive skills
-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
-Assess the available information and process and their interaction
-Design and select appropriate collection and storage, and optimise and evaluate system design
-Apply generic systems engineering methods such as conceptual design and optimization to facilitate the assessment and development of information, information security and process technologies and systems

Key / transferable skills
-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 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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Discrete mathematics underlies some vital situations in practical life. Game theory, with roots in mathematics, statistics and economics, is routinely applied to understanding and predicting human behaviour. Read more
Discrete mathematics underlies some vital situations in practical life.

Game theory, with roots in mathematics, statistics and economics, is routinely applied to understanding and predicting human behaviour. Problems of protection of digital information against piracy are closely related to aspects of set systems. And the RSA cryptosystem, used on computers all over the world, depends on classical results of number theory.

Our MSc Discrete Mathematics and its Applications covers many aspects of discrete mathematics and their potential use in practice, and provides you with options in:
-Optimisation
-Machine learning
-Data mining
-Statistics

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=PG00538&subgroup=2

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.

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

Key employability skills you gain from this course include analytic reasoning, problem solving, techniques of discrete mathematics and an understanding of application areas of these techniques, algorithm design and implementation, and data analysis.

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.

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In recent years, finance has been one of the areas where high-calibre mathematicians have been in great demand. Read more
In recent years, finance has been one of the areas where high-calibre mathematicians have been in great demand. With the advent of powerful and yet economically accessible computing, online trading has become a common activity, but many have realised that a certain amount of mathematics is necessary to be successful in such fields.

One of our most popular courses, MSc Mathematics and Finance allows those with a background in mathematics to study finance. Since finance routinely involves modelling and evaluating risk, asset pricing and price forecasting, mathematics has become an indispensable tool for this study.

You explore topics including:
-Models and mathematics in portfolio management
-Risk management in modern banking
-Financial modelling
-Actuarial modelling
-Applied statistics

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=PG00610&subgroup=2

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.

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

There is undoubtedly a shortage of mathematicians in general, and an even greater one of those with knowledge of finance.

Our course produces graduates with a sound background in mathematics and finance. Key employability skills include computing, use of algorithms, data analysis, mathematical modelling and understanding financial statements.

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
-Research Methods
-Financial Modelling
-Mathematics of Portfolios
-Research Methods in Finance: Empirical Methods in Finance
-Stochastic Processes
-Applied Statistics (optional)
-Bank Strategy and Risk (optional)
-Bayesian Computational Statistics (optional)
-Combinatorial Optimisation (optional)
-Derivative Securities (optional)
-Economics of Financial Markets (optional)
-Financial Derivatives (optional)
-Ordinary Differential Equations (optional)
-Partial Differential Equations (optional)
-Statistical Methods (optional)
-Metric Spaces

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Mathematics is the language that underpins the rest of science. Our Department of Mathematical Sciences has an international reputation in many areas like such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology. Read more
Mathematics is the language that underpins the rest of science. Our Department of Mathematical Sciences has an international reputation in many areas like such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

Graduate Diplomas last for six to nine months (full-time) and include the modules and assessed work of a Masters, without a dissertation. Our Graduate Diploma in Mathematics gives you training in basic mathematics techniques if your first degree contained only a modest amount of mathematics, so that you can proceed to a Masters in mathematics.

At Essex, Mathematics has truly broad reach; we are working on projects ranging from the economic impact of the behaviour of dairy cows, to understanding crowd behaviour through modelling a zombie apocalypse, to circular Sudoku and other puzzles. Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

You therefore gain an exceptional range of knowledge and skills that are currently in demand in mathematically oriented employment; in business, commerce, industry, government service, education and in the wider economy.

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.

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 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

-Applied Statistics (optional)
-Bayesian Computational Statistics (optional)
-Combinatorial Optimisation (optional)
-Complex Variables and Applications (optional)
-Contingencies I
-Contingencies II
-Cryptography and Codes
-Finance and Financial Reporting (optional)
-Financial Derivatives (optional)
-Graph Theory (optional)
-Introduction to Numerical Methods (optional)
-Linear Algebra (optional)
-Mathematical Biology (optional)
-Mathematical Methods (optional)
-Mathematics of Portfolios (optional)
-Modelling Experimental Data (optional)
-Nonlinear Programming (optional)
-Ordinary Differential Equations (optional)
-Partial Differential Equations (optional)
-Project: Mathematics (optional)
-Quantum Mechanics (optional)
-Real Analysis (optional)
-Statistical Methods (optional)
-Statistics II (optional)
-Stochastic Processes (optional)
-Survival Analysis (optional)
-The Laws of Physics (optional)
-Vector Calculus (optional)

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- https://www.kent.ac.uk/locations/medway/. Start. At any time but preferably in September. Our research programme in Pharmacy gives you the integrated, broad-based research training needed to exploit current advances in pharmaceutical and biological sciences and pharmacy practice. Read more

This course will be held at the Medway Campus

- https://www.kent.ac.uk/locations/medway/

Start: At any time but preferably in September

Our research programme in Pharmacy gives you the integrated, broad-based research training needed to exploit current advances in pharmaceutical and biological sciences and pharmacy practice.

Within the school we have a number of home, EU and international postgraduate students who are undertaking doctoral research degrees. Graduates who obtain their PhD from Kent or Greenwich are highly sought after by prospective employers, both within the UK and overseas. Destinations for doctoral graduates include university academic departments, research institutes and leading pharmaceutical and biotechnological companies.

Visit the website https://www.kent.ac.uk/courses/postgraduate/171/pharmacy

About Medway School of Pharmacy

Medway School of Pharmacy is one of the few regional schools of pharmacy in the UK, a collaboration between the University of Kent and the University of Greenwich.

The impetus for the formation of the Medway School of Pharmacy came from the local community, who recognised the shortage of qualified pharmacists in all branches of the pharmacy profession in Kent.

The School is now recognised as an established school with accreditation from the General Pharmaceutical Council (GPhC) and the Health and Care Professions Council (HCPC). Graduates are employed in health disciplines in Kent and the south-east and more broadly across the UK.

Study support

- Postgraduate resources

Postgraduate students have access to all the facilities at the Medway School of Pharmacy, including clinical skills labs and a ‘simulation man’. As the School of Pharmacy is a joint venture between the two universities, students have access to facilities at Kent’s Medway and Canterbury campuses, and the University of Greenwich.

- Dynamic publishing culture

Medway School of Pharmacy has a research culture and as such postgraduate students publish regularly and widely in journals, conference proceedings and books. Among others, they have recently contributed to: International Journal of Pharmacy Practice; Nephron Physiology; Acta Physiologica; Purinergic Signalling; and European Journal of Pharmacology.

- Researcher Development Programme

Kent's Graduate School co-ordinates the Researcher Development Programme for research students, which includes workshops focused on research, specialist and transferable skills. The programme is mapped to the national Researcher Development Framework and covers a diverse range of topics, including subjectspecific research skills, research management, personal effectiveness, communication skills, networking and teamworking, and career management skills

Research areas

The Medway School of Pharmacy houses strong and vibrant research groups that span a range of pharmacy-related areas. Staff have a wealth of research experience, and UK and international links with both industry and academic institutions.

- Chemistry and drug delivery

This group has laboratories with dedicated state-ofthe art drug delivery, nanotechnology, spectroscopy, chromatography and organic synthesis facilities. It brings together researchers in medicinal chemistry and drug design, nanotechnology and materials science, drug delivery and pharmaceutics encouraging a multidisciplinary approach to research. Research covers synthesis and biological evaluation of potential anti-cancer agents, structurebased drug design, QSAR predication of ADMET properties, controlled release, particle engineering, powder technology, pharmaceutical technology, and novel drug delivery systems, with a focus on respiratory drug delivery.

- Biological sciences

This group is housed in recently refurbished laboratories with dedicated state-of-the-art molecular biological, electrophysiological, tissue culture and microscopy facilities. The research is divided into four main themes; infectious diseases and allergy; neuroscience; renal and cardiovascular physiology; and pharmacology. Examples of current work include: investigation of the use of non-pathogenic virus ‘pseudotypes’ to study pathogenic RNA, study of the properties of neuronal potassium channels and their modulation and the development of new therapies for patients that have developed acute kidney injury in collaboration with a major pharmaceutical company.

- Pharmacy practice

This group conducts research in two areas: public health and medicines optimisation, with a particular focus on cardiovascular diseases and mental health. Work in public health includes studies in physical exercise, alcohol, cardiovascular screening and spirometry testing, plus pharmacovigilance. Studies in medicines optimisation include work in dementia, bipolar disorder and stroke, with an emphasis on the patient perspective.

Careers

Graduates who obtain their PhD from Kent or Greenwich are highly sought after by prospective employers, both within the UK and overseas. Destinations for doctoral graduates include university academic departments, research institutes and leading pharmaceutical and biotechnological companies.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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