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Masters Degrees (Biological Systems)

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This course provides you with a balance of molecular biology, engineering, computing and modelling skills necessary for a career in synthetic biology. Read more

This course provides you with a balance of molecular biology, engineering, computing and modelling skills necessary for a career in synthetic biology. Computational design of biological systems is important as the field of synthetic biology grows. This allows the construction of complex and large biological systems.

While laboratory approaches to engineering biological systems are a major focus, the course specialises in computational design. This provides you with essential computing and engineering skills to allow you to develop software to program biological systems.

Our course is designed for students from both biological and computational backgrounds. Prior experience with computers or computer programming is not required. Students with mathematical, engineering or other scientific backgrounds are also welcome to apply. It is ideal if you are aiming for careers in industry or academia.

We provide a unique, multidisciplinary experience that is essential for understanding synthetic biology. The programme draws together the highly-rated teaching and research expertise of our Schools of Computing Science, Mathematics and Statistics, and Biology, as well as the Medical Faculty and the Institute of Human Genetics.

Research is a large component of this course. The emphasis is on delivering the research training you will need in the future to meet the demands of industry and academia effectively. Newcastle's research in life sciences, computing and mathematics is internationally recognised.

The teaching staff are successful researchers in their field and publish regularly in highly-ranked systems synthetic biology journals.

Our experienced and friendly staff are on hand to help you. You gain the experience of working in a team in an environment with the help, support and friendship of fellow students.

Project work

Your five month research project gives you real research experience in Synthetic Biology. You will have the opportunity to work closely with a leading research team in the School and there are opportunities to work on industry led projects. You will have one-to-one supervision from an experienced member of the faculty, supported with supervision from associated senior researchers and industry partners as required.

The project can be carried out:

-With a research group at Newcastle University

-With an industrial sponsor

-With a research institute

-At your place of work

Accreditation

We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.

The School of Computing Science at Newcastle University is an accredited and a recognised Partner in the Network of Teaching Excellence in Computer Science.

Facilities:

You will have dedicated computing facilities in the School of Computing. You will have access to the latest tools for system analysis and development. For certain projects, special facilities for networking can be set up.

You will enjoy access to specialist IT facilities to support your studies, including:

  • a dedicated virtual Linux workstation
  • a dedicated virtual Windows workstation
  • high specification computers only for postgrduates
  • over 300 PC's running Windows, 120 just for postgraduates
  • over 300 Raspberry Pi devices 
  • high-performance supercomputers
  • the latest Windows operating system and development tools
  • 27" monitors with high resolution (2560X1440) display
  • high-capacity database servers
  • motion capture facilities
  • 3D printing facilities

You will have access to a Linux based website that you can customise with PHP hosting services.

We have moved to the new £58m purpose-built Urban Sciences Building. Our new building offers fantastic new facilities for our students and academic community. The building is part of Science Central, a £350 million project bringing together:

  • academia
  • the public sector
  • communities
  • business and industry.


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This course provides specialist skills in core systems biology with a focus on the development of computational and mathematical research skills. Read more

This course provides specialist skills in core systems biology with a focus on the development of computational and mathematical research skills. It specialises in computational design, providing essential computing and engineering skills that allow you to develop software to program biological systems.

This interdisciplinary course is based in the School of Computing Science and taught jointly with the Faculty of Medical Sciences and the School of Mathematics and Statistics. The course is ideal for students aiming for careers in industry or academia. We cater for students with a range of backgrounds, including Life Sciences, Computing Science, Mathematics and Engineering.

Computational Systems Biology is focused on the study of organisms from a holistic perspective. Computational design of biological systems is essential for allowing the construction of complex and large biological systems.

We provide a unique, multidisciplinary experience essential for understanding systems biology. The course draws together the highly-rated teaching and research expertise of our Schools of Computing Science, Mathematics and Statistics, Biology, and Cell and Molecular Biosciences. The course also has strong links with Newcastle's Centre for Integrated Systems Biology of Ageing and Nutrition (CISBAN).

Our course is designed for students from both biological and computational backgrounds. Prior experience with computers or computer programming is not required. Students with mathematical, engineering or other scientific backgrounds are also welcome to apply.

The course is part of a suite of related programmes that also include:

-Bioinformatics MSc

-Synthetic Biology MSc

-Computational Neuroscience and Neuroinformatics MSc

All four programmes share core modules, creating a tight-knit cohort. This encourages collaborations on projects undertaking interdisciplinary research.

Project work

Your five month research project gives you a real opportunity to develop your knowledge and skills in depth in Systems Biology. You have the opportunity to work closely with a leading research team in the School and there are opportunities to work on industry lead projects. You will have one-to-one supervision from an experienced member of the faculty, supported with supervision from associated senior researchers and industry partners as required.

The project can be carried out:

-With a research group at Newcastle University

-With an industrial sponsor

-With a research institute

-At your place of work

Placements

Students have a unique opportunity to complete a work placement with one of our industrial partners as part of their projects.

Previous students have found placements with organisations including:

-NHS Business Services Authority

-Waterstons

-Metropolitan Police

-Accenture

-IBM

-Network Rail

-Nissan

-GSK

Accreditation

We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry. Studying a BCS-accredited degree provides the foundation for professional membership of the BCS on graduation and is the first step to becoming a chartered IT professional.

The School of Computing Science at Newcastle University is an accredited and a recognised Partner in the Network of Teaching Excellence in Computer Science.

Facilities

Facilities

You will have dedicated computing facilities in the School of Computing. You will have access to the latest tools for system analysis and development. For certain projects, special facilities for networking can be set up.

You will enjoy access to specialist IT facilities to support your studies, including:

  • a dedicated virtual Linux workstation
  • a dedicated virtual Windows workstation
  • high specification computers only for postgrduates
  • over 300 PC's running Windows, 120 just for postgraduates
  • over 300 Raspberry Pi devices 
  • high-performance supercomputers
  • the latest Windows operating system and development tools
  • 27" monitors with high resolution (2560X1440) display
  • high-capacity database servers
  • motion capture facilities
  • 3D printing facilities

You will have access to a Linux based website that you can customise with PHP hosting services.

We have moved to the new £58m purpose-built Urban Sciences Building. Our new building offers fantastic new facilities for our students and academic community. The building is part of Science Central, a £350 million project bringing together:

  • academia
  • the public sector
  • communities
  • business and industry.


Read less
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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The 1-year Electrical Power Systems Masters/MSc is good, the 2-year Electrical Power Systems with Advanced Research Masters/MSc is even better!. Read more
The 1-year Electrical Power Systems Masters/MSc is good, the 2-year Electrical Power Systems with Advanced Research Masters/MSc is even better!

The 3rd energy industry revolution is taking place where the key is the development of electrical power systems in the contexts of smart grids. Electrical power systems are playing a pivotal role in the development of a sustainable energy supply, enabling renewable energy generation. Globally there is a big shortage of skilled engineers for designing, operating, controlling and the economic analysis of future electricity networks – smart grids

The new 2-year MSc Electrical Power Systems with Advanced Research will give you the timely advanced skills and specialist experience required to significantly enhance your career in the electrical power industry. The programme builds on a very close involvement with the power industry, the education of power engineers and extensive research work and expertise as well as the successful experience on the 1-year MSc Electrical Power Systems at the University of Birmingham. The 2-year MSc Electrical Power Systems with Advanced Research will be able to fill in the gap of skills between the 1-year MSc and PhD research.

Some modules will be taught by leading industry experts, which will give you the exciting opportunity to understand the real challenges that power industry is facing, hence propose innovative solutions. In addition, students working on relevant MSc projects may have the opportunity to work with leading industry experts directly.

The new 2-Year MSc Electrical Power Systems with Advanced Research will run in parallel with the existing 1-Year MSc Electrical Power Systems. The taught credits in the 1st year of the 2 Year MSc are identical to that of the 1-Year MSc while the 2nd Year is mainly focused on a research project.

This programme also aims to provide graduates with the ability to critically evaluate methodologies, analytical procedures and advanced research methods. Year 1 of the programme is focussed on the taught modules covering:

Control concepts and methods
Advanced energy conversion systems and power electronic applications
Advanced power electronic technologies for electrical power networks – HVDC and FACTS
Electrical power system engineering - using state-of-the-art computational tools and methods, and design of sustainable electrical power systems and networks
Economic analysis of electrical power systems and electricity markets.
While Year 2 of the programme will give you the opportunity to work on an advanced research project. For some suitable projects, in conjunction with joint industry supervisions, industry placement may be available.

It is envisaged there will be the opportunity for students to transfer between the two programmes using the University’s procedures for transfers between programmes, subject to programme requirements. This opportunity would take place at the end of the taught part of the programme.

About the School of Electronic, Electrical & Systems Engineering

Electronic, Electrical and Systems Engineering, is an exceptionally broad subject. It sits between Mathematics, Physics, Computer Science, Psychology, Materials Science, Education, Biological and Medical Sciences, with interfaces to many other areas of engineering such as transportation systems, renewable energy systems and the built environment.
Our students study in modern, purpose built and up to date facilities in the Gisbert Kapp building, which houses dedicated state-of-theart teaching and research facilities. The Department has a strong commitment to interdisciplinary research and boasts an annual research fund of more than £4 million a year. This means that wherever your interest lies, you can be sure you’ll be taught by experts in the field.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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This Masters programme trains graduates of engineering, science or related disciplines in general and specialist process systems engineering subjects. Read more

This Masters programme trains graduates of engineering, science or related disciplines in general and specialist process systems engineering subjects.

Such areas are not generally covered in engineering and science curricula, and BSc graduates tend to be ill prepared for the systems challenges they will face in industry or academia on graduation.

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

The programme aims to provide a highly vocational education which is intellectually rigorous and up-to-date. It also aims to provide the students with the necessary skills required for a successful career in the process industries.

This is achieved through a balanced curriculum with a core of process 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. The programme draws on the stimulus of the Faculty’s research activities.

The programme provides the students with the basis for developing their own approach to learning and personal development.

Programme learning outcomes

Knowledge and understanding

  • 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, supply chain management, process and energy integration, and advanced process control technologies
  • Advanced level of understanding in technical topics of preference, in one or more of the following aspects: renewable energy technologies, refinery and petrochemical processes, biomass processing technologies, and knowledge-based systems

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 analyse, develop, and assess process systems and technologies. The key learning outcomes include the abilities to:

  • Assess the available systems in the process industries
  • Design and/or select appropriate system components, and optimise and evaluate system design
  • Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of advanced process 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
  • Organising 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.



Read less
This course provides education and training in selected weapons systems. The course is intended for officers of the armed forces and for scientists and technical officers in government defence establishments and the defence industry. Read more

Course Description

This course provides education and training in selected weapons systems. The course is intended for officers of the armed forces and for scientists and technical officers in government defence establishments and the defence industry. It is particularly suitable for those who, in their subsequent careers, will be involved with the specification, analysis, development, technical management or operation of weapons systems.

The course is accredited by the Institution of Mechanical Engineers and will contribute towards an application for chartered status.

Overview

The Gun System Design MSc is part of the Vehicle and Weapons Engineering Programme. The course is designed to provide an understanding of the technologies used in the design, development, test and evaluation of gun systems.

This course offers the underpinning knowledge and education to enhance the student’s suitability for senior positions within their organisation.

Each individual module is designed and offered as a standalone course which allows an individual to understand the fundamental technology required to efficiently perform the relevant, specific job responsibilities. The course provides students with the depth of knowledge to undertake engineering analysis or the evaluation of relevant sub systems.

Duration: Full-time MSc - one year, Part-time MSc - up to three years, Full-time PgCert - one year, Part-time PgCert - two years, Full-time PgDip - one year, Part-time PgDip - two years

English Language Requirements

If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. The minimum standard expected from a number of accepted courses are as follows:

IELTS - 6.5
TOEFL - 92
Pearson PTE Academic - 65
Cambridge English Scale - 180
Cambridge English: Advanced - C
Cambridge English: Proficiency - C

In addition to these minimum scores you are also expected to achieve a balanced score across all elements of the test. We reserve the right to reject any test score if any one element of the test score is too low.

We can only accept tests taken within two years of your registration date (with the exception of Cambridge English tests which have no expiry date).

Course overview

This MSc course is made up of two essential components, the equivalent of 12 taught modules (including some double modules, typically of a two-week duration), and an individual project.

Modules

MSc and PGDip students take 11 compulsory modules and 1 optional module.
PGCert students take 4 compulsory modules and 2 optional modules.

Core:
- Element Design
- Fundamentals of Ballistics
- Finite Element Methods in Engineering
- Gun System Design
- Light Weapon Design
- Military Vehicle Propulsion and Dynamics
- Modelling, Simulation and Control
- Solid Modelling CAD
- Survivability
- Vehicle Systems Integration

Optional:
- Guided Weapons
- Military Vehicle Dynamics
- Reliability and System Effectiveness
- Uninhabited Military Vehicle Systems

Individual Project

In addition to the taught part of the course, students can opt either to undertake an individual project or participate in a group design project. The aim of the project phase is to enable students to develop expertise in engineering research, design or development. The project phase requires a thesis to be submitted and is worth 80 credit points.

Examples of recent titles are given below.
- Use of Vibration Absorber to help in Vibration
- Validated Model of Unmanned Ground Vehicle Power Usage
- Effect of Ceramic Tile Spacing in Lightweight Armour systems
- Investigation of Suspension System for Main Battle Tank
- An Experimental and Theoretical Investigation into a Pivot Adjustable Suspension System as a Low Cost Method of Adjusting for Payload
- Analysis of Amphibious Operation and Waterjet Propulsions for Infantry Combat Vehicle.
- Design of the Light Weapon System
- Analysis of the Off-road Performance of a Wheeled or Tracked Vehicle

Group Project

- Armoured Fighting Vehicle and Weapon Systems Study
To develop the technical requirements and characteristics of armoured fighting vehicles and weapon systems, and to examine the interactions between the various sub-systems and consequential compromises and trade-offs.

Syllabus/curriculum:
- Application of systems engineering practice to an armoured fighting vehicle and weapon system.
- Practical aspects of system integration.
- Ammunition stowage, handling, replenishment and their effects on crew performance and safety.
- Applications of power, data and video bus technology to next generation armoured fighting vehicles.
- Effects of nuclear, biological and chemical attack on personnel and vehicles, and their survivability.

- Intended learning outcomes
On successful completion of the group project the students should be able to –
- Demonstrate an understanding of the engineering principles involved in matching elements of the vehicle and weapon system together.
- Propose concepts for vehicle and weapon systems, taking into account incomplete and possibly conflicting user requirements.
- Effectively apply Solid Modelling in outlining proposed solutions.
- Interpret relevant legislation and standards and understand their relevance to vehicle and weapon systems.
- Work effectively in a team, communicate and make decisions.
- Report the outcome of a design study orally to a critical audience.

Assessment

Continuous assessment, examinations and thesis (MSc only). Approximately 30% of the assessment is by examination.

Career opportunities

Many previous students have returned to their sponsor organisations to take up senior programme appointments and equivalent research and development roles in this technical area.

For further information

On this course, please visit our course webpage - https://www.cranfield.ac.uk/Courses/Masters/Gun-Systems-Design

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

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.

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.

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.

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.

Learn more about opportunities that might be available for this particular programme by using our student exchanges search tool.



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This course will provide you with an in-depth specialisation in organic farming and food production systems and it is currently the only specialised MSc in organic and ecological farming in England. Read more

This course will provide you with an in-depth specialisation in organic farming and food production systems and it is currently the only specialised MSc in organic and ecological farming in England. You will learn and test the latest approaches in the integrated delivery of soil, crop and livestock, and food supply chain management.

Through a combination of lectures, field trips, seminars, practical classes and research projects you will develop advanced knowledge and skills in:

-Managing organic farming and food production units or businesses in different macroclimatic, agronomic and market contexts

-Agronomic approaches used in organic/biological/ecological/sustainable food production systems

-Underlying principles and standards of organic/biological/ecological/sustainable food production, processing and retailing/marketing systems

-Applied and strategic research underpinning the development of organic and other sustainable farming and food production systems

-A wide range of analytical laboratory methods

You will have the opportunity to attend a 10-day field trip as part of the module on Mediterranean perennial crop production systems in Crete, Greece. The trip is organised in collaboration with ecological farming experts from the Greek National Science Foundation (NAGREF).

As part of your studies you will also undertake a major project, similar to one you might experience in the workplace. You will be supported through training in designing and delivering a laboratory project or field-based investigation. You will collect, analyse and interpret data to produce a thesis reporting your investigation and results in a critical manner.

This research project and thesis may be undertaken at the University, in industry, in Crete as part of existing Nafferton Ecological Farming Group research and development projects, or in another country.

Our staff

You will benefit from being taught by lecturers who are industry experienced and research active. Our research in integrated agricultural production focuses on soil science, plant science and ecology, spanning a range of scales from: pot – plot – farm – landscape.

Strategic research embraces work on:

-Soil quality

-Rhizosphere function

-Plant-soil feedback

-Soil-carbon dynamics

-Nutrient cycling

Applied research addresses issues of:

-Climate change mitigation (including biofuels)

-Ecological (organic) farming systems

-Low-input crop systems

-Agriculture-environment interactions

Professor Carlo Leifert is the Degree Programme Director for MSc in Organic Farming and Food Production Systems. Carlo is a member of the Food Security Network in the Newcastle Institute for Research on Sustainability (NIReS) and is part of the Nafferton Ecological Farming Group (NEFG). He currently manages EU and DEFRA funded projects focused on improving resource efficiency, productivity and food quality and safety in organic and 'low input' crop and livestock production systems.

Delivery

The course is taught in a block format with a six-week block and then two-week teaching blocks.

You will be taught through:

-Lectures

-Seminars

-Practical and field classes

-Tutorials

-Case studies

-Small group discussions

You will be expected to undertake independent study outside of these structured sessions. Your knowledge and understanding will be assessed through written examinations, coursework, presentations and your final major project.

You can also study through the Credit Accumulation Transfer Scheme (CATS). This allows us to award postgraduate level qualifications using credit-bearing stand-alone modules as 'building blocks' towards a qualification. This means that the credits from modules undertaken within a five-year period can be 'banked' towards the award of a qualification.

Facilities

Farms

Our multi-purpose farms provide demonstration facilities for teaching purposes and land-based research facilities (especially in the area of organic production). They are both viable farming businesses.

Cockle Park Farm

Cockle Park Farm is a 262ha mixed farm facility that includes the Palace Leas Plots hay meadow experiment and a new anaerobic digestion plant that will generate heat, electricity and digestate - an organic fertiliser - from pig and cattle manure.

Nafferton Farm

Nafferton Farm is a 300ha farm with two main farm units covering conventional and organic farming systems. The two systems are primarily focussed upon dairying and arable cropping.

Both also operate beef production enterprises as a by-product of their dairy enterprises, although the organic system is unique in maintaining a small-scale potato and vegetable production enterprise.

Laboratories

Our modern laboratories provide important teaching and research environments and are equipped with analytical equipment such as High-Performance Liquid Chromatography (HPLCs), GCs, CNS analyser (Carbon and Nitrogen analysis), centrifuges, spectrophotometers and molecular biology equipment. Our specialist research facilities include:

  • tissue culture laboratory
  • plant growth rooms
  • class II laboratory for safe handling of human biological samples
  • taste panel facilities and test kitchen
  • thin section facility for soils analysis

We operate closely with other schools, institutes and the University's central scientific facilities for access to more specialist analytical services.

For work with human subjects we use a purpose built Clinical Research Facility which is situated in the Royal Victoria Infirmary teaching hospital and is managed jointly by us and the Newcastle upon Tyne Hospitals NHS Foundation Trust.

nu-food Food and Consumer Research Facility

The NU-Food Food and Consumer Research Facility has undergone a £700,000 refurbishment and now boasts a culinary training suite, a sensory laboratory and food handling facility, all supported by multi-functional rooms and a reception.



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he contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. Read more
he contribution of mathematical and computational modelling to the understanding of biological systems has rapidly grown in recent years. This discipline encompasses a wide range of life science areas, including ecology (e.g. population dynamics), epidemiology (e.g. spread of diseases), medicine (e.g. modelling cancer growth and treatment) and developmental biology.

This programme aims to equip students with the necessary technical skills to develop, analyse and interpret models applied to biological systems. Course work is supported by an extended and supervised project in life science modelling.

Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer. A typical distribution for this programme is as follows:

Core courses

Modelling and Tools;
Mathematical Ecology;
Dynamical Systems;
Mathematical Biology and Medicine.

Optional Courses

Optimization;
Numerical Analysis of ODEs;
Applied Mathematics;
Statistical Methods;
Stochastic Simulation;
Partial Differential Equations;
Numerical Analysis;
Geometry;
Climate Change: Causes and Impacts;
Biologically Inspired Computation;
Climate Change: Mitigation and Adaptation Measures.

Typical project subjects

Population Cycles of Forest Insects;
Modelling Invasive Tumour Growth;
The replacement of Red Squirrels by Grey Squirrels in the UK;
Wiring of Nervous System;
Vegetation Patterning in Semi-arid Environments;
Daisyworld: A Simple Land Surface Climate Model.

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The molecular approach to studying biological systems has underpinned huge advances in knowledge and promises much for the future in the understanding and application of biological principles. Read more
The molecular approach to studying biological systems has underpinned huge advances in knowledge and promises much for the future in the understanding and application of biological principles. At Nottingham we are using molecular approaches to study a wide range of model as well as innovative biological systems. Currently projects are available in research groupings that are investigating eukaryotic gene expression and vertebrate embryogenesis, including aspects of the development of the nervous system, germ cells and stem cell maturation, and the behaviour of cellular systems with respect to the many interactions of macromolecules within cells and their membranes. In addition there are projects to study in microbes the systems responsible for maintaining genome integrity and securing accurate chromosome transmission in bacteria, archaea and yeast, as well as the basis of bacterial motility. There are also projects concerned with the biology of fungi in relation to their stress responses and to their interactions with their environment in general, as well as with the use of fungi as cell factories for the production of proteins and pharmaceuticals. Finally there are projects in research groups studying ion channels, receptor-mediated carcinogenesis and ecotoxicology that use natural and synthetic toxins to dissect the properties of signalling molecules in nervous and muscle tissues and employ cutting-edge techniques to understand the molecular mechanisms underlying the actions of toxins and the mechanisms of disease.

APPLICATION PROCEDURES
After identifying which Masters you wish to pursue please complete an on-line application form
https://pgapps.nottingham.ac.uk/
Mark clearly on this form your choice of course title, give a brief outline of your proposed research and follow the automated prompts to provide documentation. Once the School has your application and accompanying documents (eg referees reports, transcripts/certificates) your application will be matched to an appropriate academic supervisor and considered for an offer of admission.

COURSE STRUCTURE
The MRes degree course consists of two elements:
160 credits of assessed work. The assessed work will normally be based entirely on a research project and will be the equivalent of around 10 ½ months full-time research work. AND
20 credits of non-assessed generic training. Credits can be accumulated from any of the courses offered by the Graduate School. http://www.nottingham.ac.uk/gradschool/research-training/index.phtml The generic courses should be chosen by the student in consultation with the supervisor(s).

ASSESSMENT
The research project will normally be assessed by a dissertation of a maximum of 30,000 to 35,000 words, or equivalent as appropriate*. The examiners may if they so wish require the student to attend a viva.
*In consultation with the supervisor it maybe possible for students to elect to do a shorter research project and take a maximum of 40 credits of assessed modules.

The School of Life Sciences will provide each postgraduate research student with a laptop for their exclusive use for the duration of their studies in the School.

SCHOLARSHIPS FOR INTERNATIONAL STUDENTS
http://www.nottingham.ac.uk/studywithus/international-applicants/scholarships-fees-and-finance/scholarships/masters-scholarships.aspx

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The two year MSc Biology concerns understanding the complexity of biological systems, at scales ranging from single molecules to whole ecosystems, provides a unique intellectual challenge. Read more

MSc Biology

The two year MSc Biology concerns understanding the complexity of biological systems, at scales ranging from single molecules to whole ecosystems, provides a unique intellectual challenge. The biosciences aim to understand living systems and to help preserve biodiversity and our environment and simultaneously produce sufficient healthy and safe food.

Programme summary

Biological issues are at the forefront of the technological progress of modern society. They are central to global concerns about how we effect and are affected by our environment. Understanding the complexity of biological systems, at scales ranging from single molecules to whole ecosystems, provides a unique intellectual challenge. The MSc Biology allows students to get a broad overview of the latest developments in biology, ranging from genes to ecosystems. They learn to critically discuss the newest scientific developments in the biological sciences. Within their area of specialisation, students deepen their knowledge and skills in a certain subject. To prepare for a successful international career, we strongly encourage our students to complete part of their programme requirements abroad.

Specialisations

The MSc Biology offers nine specialisations:

Animal Adaptation and Behavioural Biology
This specialisation focuses mainly on subjects as adaptation, mechanisms involved in these adaptations and behaviour of animals.

Bio-interactions
In this specialisation, you obtain knowledge about interactions between organisms. You learn to understand and interpret interactions on different levels, from molecular to ecosystem level.

Molecular Ecology
In this specialisation, you learn to use molecular techniques to solve ecological questions. You will use, for example, molecular techniques to study the interaction between a virus and a plant.

Conservation and Systems Ecology
This specialisation focuses initially on fundamental processes that play a key role in ecology. You learn to interpret different relations, for example, the relation between chemical (or physical processes) and bioprocesses. Furthermore, you learn to analyse different ecosystems. You can use this knowledge to manage and conserve these ecological systems.

Evolution and Biodiversity
The systematics of biodiversity in an evolutionary perspective is the central focus of this specialisation. Subjects that will be addressed in this specialisation are: evolution, genetics, biosystematic research and taxonomic analysis.

Health and Disease
This specialisation focuses on regulatory mechanisms that have a central role in human and animal health.

Marine Biology
Choosing this specialisation means studying the complexity of the marine ecosystem. Moreover, you learn about the impacts of, for instance, fishery and recreation on this ecosystem or the interaction between different species in this system.

Molecular Development and Gene Regulation
This specialisation focuses on gene regulations and the different developmental mechanisms of organisms.

Plant Adaptation
This specialisation focuses on the adaptations that different plants gained in order to adjust to various conditions. You learn to understand the regulation processes in plants that underlie these adaptations.

Your future career

Many graduates from the MSc Biology study programme enter careers in fundamental and applied research or go on to become PhD students. Some find a position as communication officer, manager or policymaker. Compared with other Dutch universities, many biology graduates from Wageningen University find a position abroad.

Alumna Iris de Winter.
"I work as a PhD student at Wageningen University. In my research, I aim to understand the effect of human disturbance on the parasites prevalence in lemurs. I also look at the potential risks of the transmission of diseases and parasites from lemurs to humans, but also vice versa, from humans (and their livestock and pets) to wild lemur population. I alternate my fieldwork in Madagascar with parasite identification, analyses and writing manuscripts in the Netherlands. With this research, I hope to gain more insight in the factors that increase parasite prevalence in natural systems and hereby to improve the protection of both lemurs and their natural habitat."

Related programmes:
MSc Molecular Life Sciences
MSc Animal Sciences
MSc Plant Sciences
MSc Forest and Nature Conservation
MSc Biotechnology
MSc Plant Biotechnology
MSc Aquaculture and Marine Resource Management
MSc Organic Agriculture.

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Most things in the real world are complex and difficult to understand, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress in the modern world. Read more
Most things in the real world are complex and difficult to understand, from biological systems to the financial markets to industrial processes, but explaining them is essential to making progress in the modern world. Mathematical modelling is a fundamental tool in the challenge to understand many of these systems, and is an essential part of contemporary applied mathematics. By developing, analysing and interpreting mathematical and computational models we gain insight into these complex processes, as well as giving a framework in which to interpret experimental data.

To fully capitalise on these tools, there is a fundamental need in both academic research and industry for a new generation of scientists trained to work at the interdisciplinary frontiers of mathematics and computation. These scientists require the ability to assimilate and understand information from other disciplines, communicate with and enthuse other researchers, as well as having the advanced mathematical and computational skills needed.

MSc Mathematical Modelling is a one year master’s level course at the interfaces of Mathematics, Computer Science, Systems Biology and Chemical Engineering. Interdisciplinary mathematical modelling in the School of Mathematics at the University of Birmingham takes place in a thriving outward-facing community with specialities including mathematical biology, fluid mechanics, mathematical finance and industrial modelling. The School collaborates widely with multiple disciplines, including Biological and Medical Sciences, Chemical Engineering and within industry. In particular, Birmingham is an emerging centre for multidisciplinary Biological Systems Science research, and is in a unique position, being adjacent to one of the largest super-hospitals in Europe, catering for a highly diverse population.

The programme is specifically tailored to develop students from a strong mathematics background into becoming genuinely multidisciplinary scientists. You will have the opportunity to develop your mathematical and computational modelling skills, whilst at the same time being trained in cutting-edge interdisciplinary techniques, including the option of practical work. You will learn how to diversify your skills into other fields, and how to work with research leaders and other students from different disciplines.

About the School of Mathematics

The School of Mathematics is one of seven schools in the College of Engineering and Physical Sciences. The school is situated in the Watson Building on the main Edgbaston campus of the University of Birmingham. There are about 50 academic staff, 15 research staff, 10 support staff, 60 postgraduate students and 600 undergraduate students.
At the School of Mathematics we take the personal development and careers planning of our students very seriously. Jointly with the University of Birmingham's Careers Network we have developed a structured programme to support maths students with their career planning from when they arrive to when they graduate and beyond.

Funding and Scholarships

There are many ways to finance your postgraduate study at the University of Birmingham. To see what funding and scholarships are available, please visit: http://www.birmingham.ac.uk/postgraduate/funding

Open Days

Explore postgraduate study at Birmingham at our on-campus open days.
Register to attend at: http://www.birmingham.ac.uk/postgraduate/visit

Virtual Open Days

If you can’t make it to one of our on-campus open days, our virtual open days run regularly throughout the year. For more information, please visit: http://www.pg.bham.ac.uk

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This MRes programme aims to train students in the fast-growing area of synthetic biology, a discipline which takes the knowledge and understanding we now have of the individual parts of biological systems and uses them in a defined way to design and build novel artificial biological systems. Read more

This MRes programme aims to train students in the fast-growing area of synthetic biology, a discipline which takes the knowledge and understanding we now have of the individual parts of biological systems and uses them in a defined way to design and build novel artificial biological systems.

About this degree

Students develop an understanding of the areas involved in synthetic biology, including engineering principles, mathematical modelling, advanced molecular biology, microbiology, biochemical engineering and necessary chemistry. Modules also provide the necessary skills for acquisition and critical analysis of the primary scientific literature and transferable research development skills. The programme includes a major research project that will provide in-depth training in synthetic biology research methods.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (60 credits) and an extended research project (120 credits).

Core modules

  • Synthetic Biology
  • The Scientific Literature
  • Biosciences Research Skills

Optional modules

There are no optional modules for this programme.

Dissertation/report

All students undertake an independent laboratory-based extended research project which culminates in a dissertation of 15,000–18,000 words.

Teaching and learning

The programme is delivered through lectures, seminars and tutorials, combining research-led and skills-based modules. The taught modules are assessed by assignments and coursework. The research project is assessed by an oral presentation, submission of a dissertation and is subject to oral examination.

Further information on modules and degree structure is available on the department website: Synthetic Biology MRes

Careers

The Synthetic Biology MRes will qualify students to go on to work in the growing number of small companies engaged in synthetic biology both here in London and across the UK and the world. There are many large companies that are building their own synthetic biology potential and some of our students are already working with these groups. Our students often go on to do further research in PhDs and EngDs globally. Our graduates have practical experience of generating novel research with our unique facilities that makes them of great value to employers and collaborators.

Recent career destinations for this degree

  • Freelance Software Developer
  • PhD in Biochemistry, University of Oxford
  • PhD Bioenergy and Industrial Biotechnology, University of Cambridge
  • Scientific Consultant, Labcitec, Mexico
  • PhD in Synthetic Biology, UCL

Employability

Synthetic biology is a fast growing area of research and will have a major economic and social impact on the global economy in the coming decades. The involvement of molecular biologists, biochemists, engineers, physical scientists, chemists and biologists can create designed cells, enzymes and biological modules that can be combined in a defined manner. These could be used to make complex metabolic pathways for pharmaceuticals, novel hybrid biosensors or novel routes to biofuels. A future integration of biological devices and hybrid devices as components in the electronics industry might lead to a whole new high value industry for structured biological entities.

Why study this degree at UCL?

UCL is recognised as one of the world's best research environments within the field of biochemical engineering and synthetic biology as well as biological and biomedical science.

UCL Biochemical Engineering is in a unique position to offer tuition and research opportunities in internationally recognised laboratories that carry out synthetic biology research, and an appreciation of the multidisciplinary nature of synthetic biology research.

Students on this MRes programme undertake a major research project where topics can be chosen spanning the expertise in six departments across UCL.



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Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more

Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.

The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.

On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.

On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.

See the website http://www.ru.nl/masters/ai/computation

Why study Computation in Neural and Artificial Systems at Radboud University?

- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

Some examples of possible thesis subjects:

- Deep learning

Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

- Brain Computer Interfacing

Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:

- PhD researcher on bio-inspired computing

- PhD researcher on neural decoding

- PhD researcher on neural information processing

- Machine learning expert in a software company

- Company founder for brain-based computer games

- Hospital-based designer of assistive technology for patients

- Policy advisor on new developments in neurotechnology

- Software developer for analysis and online visual displays of brain activity

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.

See the website http://www.ru.nl/masters/ai/computation

Radboud University Master's Open Day 10 March 2018



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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

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.

Assessment

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

Funding

To help students in finding and securing appropriate funding we have created a funding finder where you can search for suitable sources of funding by filtering the results to suit your needs. Visit the funding finder.



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