• Birmingham City University Featured Masters Courses
  • Cardiff University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
  • University of Northampton Featured Masters Courses
London Metropolitan University Featured Masters Courses
University College Cork Featured Masters Courses
Cranfield University Featured Masters Courses
Cranfield University at Shrivenham Featured Masters Courses
University of Bath Featured Masters Courses
United Kingdom ×
0 miles
Mathematics×

Masters Degrees in Engineering/Industrial Mathematics, United Kingdom

We have 10 Masters Degrees in Engineering/Industrial Mathematics, United Kingdom

  • Mathematics×
  • Engineering/Industrial Mathematics×
  • United Kingdom ×
  • clear all
Showing 1 to 10 of 10
Order by 
In today's uncertain global competition platform and economy, manufacturing and engineering are two of the most important pinnacles for a sustainable growth of any country. Read more
In today's uncertain global competition platform and economy, manufacturing and engineering are two of the most important pinnacles for a sustainable growth of any country. Many engineering companies require graduates who can demonstrate not only technological, but also managerial and entrepreneurial skill sets. You will be taught how to select advanced manufacturing processes and materials when making new products, and how to turn innovative ideas into real products quickly, timely and within the constraints of available resources, enhancing your employability.

The MSc will meet, in part, the exemplifying academic benchmark requirements for registration as a Chartered Engineer. Accredited MSc graduates who also have a BEng(Hons) accredited for CEng, will be able to show that they have satisfied the educational base for CEng registration.

Key features

-A balanced syllabus blends aspects of technology and management to create a unique skill set, which is much sought after in industry.
-Academic teaching is also complemented by expert speakers from industry, keeping you up to date with the challenges and developments in the real world.
-Many modules are supported by practical workshops using the latest equipment and software. Such practical skills can easily be transferred into the working environment.

What will you study?

You will learn how to analyse complex technical problems and challenges faced by many real-world engineering companies of different sizes. You will also study the operational issues experienced by these companies through real case studies, and how to implement logical solutions under different scenarios. In addition, you will be able to measure the potentials of an engineering company not just through its technological adaptation but also from the entrepreneur viewpoint.

Throughout the course, you will have many hands-on sessions to practise what you have learned in the classroom. These practical skills will be obtained through using specialist software and hardware in engineering functions analysis, CAD/CAM, finite element modelling, operation management, quality analysis, business decision modelling, supply chain management and resources simulation. The project dissertation will allow you to develop a chosen field of knowledge which will complement your career ambition. Teamwork, group presentations, case studies and industrial speakers are other highlights of the course, enhancing your learning experience and employability.

Assessment

Coursework, group presentation, research project and exam.

Course structure

Please note that this is an indicative list of modules and is not intended as a definitive list.

Core modules
-Engineering Research Techniques, Entrepreneurship and Quality Management
-Advanced CAD/CAM Systems
-Mechatronic Design and Automation
-Engineering Individual Project

Option modules (choose one)
-Advanced Stress Analysis and Materials
-Industrial Operation Management and Resources Simulation
-E-engineering Systems
-Green Engineering and Energy Efficiency

Read less
This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Read more

This one-year master's course provides training in the application of mathematics to a wide range of problems in science and technology. Emphasis is placed on the formulation of problems, on the analytical and numerical techniques for a solution and the computation of useful results.

By the end of the course students should be able to formulate a well posed problem in mathematical terms from a possibly sketchy verbal description, carry out appropriate mathematical analysis, select or develop an appropriate numerical method, write a computer program which gives sensible answers to the problem, and present and interpret these results for a possible client. Particular emphasis is placed on the need for all these parts in the problem solving process, and on the fact that they frequently interact and cannot be carried out sequentially.

The course consists of both taught courses and a dissertation. To complete the course you must complete 13 units.

There are four core courses which you must complete (one unit each), which each usually consist of 24 lectures, classes and an examination. There is one course on mathematical methods and one on numerical analysis in both Michaelmas term and Hilary term. Each course is assessed by written examination in Week 0 of the following term.

Additionally, you must choose at least least one special topic in the area of modelling and one in computation (one unit each). There are around twenty special topics to choose from, spread over all three academic terms, each usually consisting for 12 to 16 lectures and a mini project, which culminates in a written report of around 20 pages. Topics covered include mathematical biology, fluid mechanics, perturbation methods, numerical solution of differential equations and scientific programming. 

You must also undertake at least one case study in modelling and one in scientific computing (one unit each), normally consisting of four weeks of group work, an oral presentation and a report delivered in Hilary term.

There is also a dissertation (four units) of around 50 pages, which does not necessarily need to represent original ideas. Since there is another MSc focussed on mathematical finance specifically, the MSc in Mathematical and Computational Finance, you are not permitted to undertake a dissertation in this field.

You will normally accumulate four units in core courses, three units in special topics, two units in case studies and four units in the dissertation. In addition, you will usually attend classes in mathematical modelling, practical numerical analysis and additional skills during Michaelmas term.

In the first term, students should expect their weekly schedule to consist of around seven hours of core course lectures and seven hours of modelling, practical numerical analysis and additional skills classes, then a further two hours of lectures for each special topic course followed. In addition there are about three hours of problem solving classes to go through core course exercises and students should expect to spend time working through the exercises then submitting them for marking prior to the class. There are slightly fewer contact hours in the second term, but students will spend more time working in groups on the case studies.

In the third term there are some special topic courses, including one week intensive computing courses, but the expectation is that students will spend most of the third term and long vacation working on their dissertations. During this time, students should expect to work hours that are equivalent to full-time working hours, although extra hours may occasionally be needed. Students are expected to write special topic and case study reports during the Christmas and Easter vacations, as well as revising for the core course written examinations.



Read less
This programme develops mathematical modelling skills and provides mathematical techniques required by industry. The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules. Read more
This programme develops mathematical modelling skills and provides mathematical techniques required by industry.

The period October to June is devoted to lectures, tutorials and practical sessions comprising the core modules.

This is followed by a period of about 14 weeks devoted to an individual project either in an industrial or engineering company or at the University.

Core study areas include mathematical modelling, regular and chaotic dynamics, programming and numerical methods, advanced reliability, availability and maintainability, elements of partial differential equations, static and dynamic optimisation and fluid mechanics.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

Programme modules

Compulsory Modules:
Semester 1
- Mathematical Modelling I
- Regular and Chaotic Dynamics
- Programming and Numerical Methods
- Advanced Reliability, Availability and Maintainability

Semester 2
- Mathematical Modelling II
- Elements of Partial Differential Equations
- Static and Dynamic Optimisation
- Fluid Mechanics

Assessment

A combination of written examinations, reports, individual and group projects, and verbal presentations.

Careers and further Study

Graduate employment over a wide range of industries encompassing aerospace, automotive electronics, and computer interests as well as software houses, insurance companies, and research establishments and institutions.

Scholarships and sponsorships

A limited number of scholarships are available for this programme as well as the loyalty bonus scheme which reduces fees for Loughborough graduates.

Why choose mathematics at Loughborough?

Mathematics at Loughborough has a long history of innovation in teaching, and we have a firm research base with strengths in both pure and applied mathematics as well as mathematics education.

The Department comprises more than 34 academic staff, whose work is complemented and underpinned by senior visiting academics, research associates and a large support team.

The programmes on offer reflect our acknowledged strengths in pure and applied research in mathematics, and in some cases represent established collaborative training ventures with industrial partners.

- Mathematics Education Centre (MEC)
The Mathematics Education Centre (MEC) at Loughborough University is an internationally renowned centre of research, teaching, learning and support. It is a key player in many high-profile national initiatives.
With a growing number of academic staff and research students, the MEC provides a vibrant, supportive community with a wealth of experience upon which to draw.
We encourage inquiries from students who are interested in engaging in research into aspects of learning and teaching mathematics at Masters, PhD and Post Doc levels. Career prospects With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

- Career prospects
With 100% of our graduates in employment and/or further study six months after graduating, career prospects are excellent. Graduates
go on to work with companies such as BAE Systems, Citigroup, Experian, GE Aviation, Mercedes Benz, Nuclear Labs USA and PwC.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/mathematics/industrial-maths-modelling/

Read less
We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. Read more
We welcome educational practitioners from science, technology, engineering, mathematics and computing, from all phases of education and work place training on our STEM Masters course. The STEM Masters course will consider the development of conceptual understanding generic to all the STEM subjects, whilst developing expertise within a specialist aspect. This course will challenge students to think deeply about their own professional contexts and settings, their place and role within this, and the possibilities for development, change, and generating practice knowledge and innovations. We will engage critically with the research that informs thinking about learning and classroom practice in the STEM subjects. We will examine the place of practical experience and the use of problem solving in real life contexts in developing pedagogical approaches. Students will look at how belief systems are established and at some of the counter-intuitive ideas that learners need to confront within the STEM subjects. We will consider the importance of developing positive attitudes in learners and explore the strategies involved in the successful management of change within institutions. Course members will also consider the role of the STEM subjects in all aspects of wider society.

This award is part of the Manchester Met Faculty of Education postgraduate Professional Development Programme.

Features and benefits of the course

-An expert team of tutors working across the STEM disciplines of science, technology, engineering, mathematics and computing
-Masters level continuing professional development tailored for your own context, priorities and interests, drawing on multi/interdisciplinary perspectives
-Offers an opportunity to work with those engaged in STEM education subject disciplines at various levels and to develop a shared understanding of STEM education as an inter-disciplinary and applied approach
-Places enquiry and purpose at the heart of professional practice
-Flexible award structure and three starting points (October, February, June)
-Participation in a large, dynamic and forward-thinking taught postgraduate community
-Course design and delivery to fit with busy work, and other, commitments
-Possibility of accrediting prior experiential learning (APEL)
-Masters level credits from other courses, subject to certain conditions

Read less
The MSc Industrial Communication and Automation course has been developed with the intention of enabling students who aspire to get a formal Masters degree to develop their skills in this sought after area and attain PROFIBUS certification. Read more

The MSc Industrial Communication and Automation course has been developed with the intention of enabling students who aspire to get a formal Masters degree to develop their skills in this sought after area and attain PROFIBUS certification.

Industrial networks are transforming the way we design plants and factories, automate machines and produce goods. This highly regarded, specialist course covers the key components in industrial networking, communication protocols and advanced automation. Incorporating expertise in the School gained from close industry collaboration, you will study technologies relevant to communications for production and industry. You will learn how machines are networked, how data is managed and how systems operate; as well as how to make industrial processes more energy efficient and optimised for peak productivity and performance. You will also undertake a research project.

Accredited by the Institution of Engineering and Technology on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.

Features and benefits of the course

-Gain industry recognised qualifications and be a certified PROFIBUS engineer; certified PROFINET engineer; certified PLCopen engineer; certified AS-I engineer. These qualifications are recognised worldwide in the automation industry giving you an extra edge in the UK or the global job market.

-Close industry collaboration: the School of Engineering's Automation Systems Centre hosts the Competence Centre for PROFIBUS International in the UK.

-Excellent laboratory facilities with the latest commercial software and engineering tools.

-You will gain knowledge and skills that are highly sought by employers as the course incorporates latest commercial software and engineering tools.

-Research in the School of Engineering was rated 'internationally excellent' in the Research Excellence Framework (2014).

About the Course

Our engineering Masters programmes are designed to meet the needs of an industry which looks to employ postgraduates who can learn independently and apply critical thinking to real-world problems. Many of the staff who teach in the School also have experience of working in industry and have well-established links and contacts in their industry sector, ensuring your education and training is relevant to future employment.

Assessment details

You will be assessed through a combination of written reports, oral presentations, practical assignments and written examinations.



Read less
Visit the Institute for Transport Studies at our Masters. Open Days. Mathematical models are fundamental to how we understand, analyse and design transportation systems, but these models face challenges from the rapidly changing nature of mobility. Read more

Visit the Institute for Transport Studies at our Masters Open Days.

Mathematical models are fundamental to how we understand, analyse and design transportation systems, but these models face challenges from the rapidly changing nature of mobility.

Innovative technologies are being harnessed to deliver new approaches to transport services, and huge volumes of data create new opportunities to examine how patterns of movement are evolving.

If you’re a highly numerate graduate with a desire to apply your quantitative skills to the real world, or a practitioner working in the sector, this course will take you to the next level and prepare you for a career as a transport modelling specialist.

97% of our graduates find employment in a professional or managerial role, or continue with further studies.*

Experience a course designed in collaboration with employers, learning skills the industry desperately needs to unlock the full potential of big data.

Learn to think creatively, beyond the standard application of established solutions, and use your technical expertise across multiple scenarios.

Develop and apply mathematical models to analyse and improve the performance of transportation networks and flows:

  • Use mathematical models to represent transport systems and forecast demand
  • Test solutions and strategies using different models
  • Apply optimisation algorithms to traffic networks
  • Develop computer code to enhance and visualise outputs
  • Critically evaluate and adapt existing modelling techniques
  • Write scientific reports for technical and lay audiences
  • Develop research and advanced scholarship skills.

Experience what it is like to be part of a project team working across disciplinary boundaries within the transport sector. Through this, gain insights into how modelling, environmental science, planning, economics and engineering can work together to develop sustainable solutions to global challenges. This industry-inspired approach will enable you to apply your knowledge to real-world issues in the field.

Your colleagues will be among the best and brightest from the UK and across the globe. Together you will learn mathematical modelling skills that can be applied to design smarter transport solutions founded on robust methods.

With a strong focus on industry needs, our degrees will prepare you for employment in your chosen field. They will also address the multi-disciplinary nature of transport – enabling you to make effective decisions for clients, employers and society.

Other Study Options

This programme is available part time, allowing you to combine study with other commitments. You can work to fund your studies, or gain a new qualification without giving up an existing job. We aim to be flexible in helping you to put together a part-time course structure that meets your academic goals while recognising the constraints on your study time.

You can also study this subject at Postgraduate Diploma level, part time or full time, or at Postgraduate Certificate level with our PGCert in Transport Studies.




Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Mathematics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc Mathematics course has been designed for students who wish to build on their BSc, extending their range of mathematics expertise across a broader spread of topics, and demonstrating their literature research skills through an extended dissertation.

Such a qualification will mark graduates out as having a broader and deeper understanding of mathematics, and the skills required to pursue a significant project with a high level of independence, presenting their results in a written report. This will give MSc Mathematics graduates an edge in the ever more competitive jobs market.

On the Mathematics course you will study different elements of mathematics in a broad sense - including mathematical elements of computing if desired - in addition to developing your research, project management, and written communication skills through a project you will undertake. As a student of MSc in Mathematics, you will be fully supported to ensure that your project further develops an excellent foundation for your future career plans.

Modules

Modules on the MSc Mathematics include:

• Algebraic coding theory

• Biomathematics

• Black-Scholes theory

• Data science

• Differential geometry

• Fourier analysis

• Ito calculus

• Lie theory

• Numerical analysis

• Partial differential equations

• Stochastic processes

• Statistical mechanics

• Topology

Please visit our website for a full description of modules for the MSc Mathematics.

On top of the Mathematics modules you study, you will also complete a dissertation as part of your studies.

Facilities

The Aubrey Truman Reading Room, located in the centre of the Department of Mathematics, houses the departmental library and computers for student use. It is a popular venue for students to work independently on the regular example sheets set by their lecturers, and to discuss Mathematics together.

Our main university library, Information Services and Systems (ISS), contains a notably extensive collection of Mathematics books.

Mathematics students will benefit from the £31m Computational Foundry for computer and mathematical sciences which will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

Careers

The ability to think rationally and to process data clearly and accurately are highly valued by employers. Mathematics graduates earn on average 50% more than most other graduates. The most popular areas are the actuarial profession, the financial sector, IT, computer programming and systems administration, and opportunities within business and industry where employers need mathematicians for research and development, statistically analysis, marketing and sales.

Some of our Mathematics students have been employed by AXA, BA, Deutsche Bank, Shell Research, Health Authorities and Local Government. Teaching is another area where Mathematics graduates will find plenty of career opportunities.

Research

The results of the Research Excellence Framework (REF) 2014 show that our research environment (how the Department supports research staff and students) and the impact of our research (its value to society) were both judged to be 100% world leading or internationally excellent.

All academic staff in Mathematics are active researchers and the department has a thriving research culture.

http://www.swansea.ac.uk/postgraduate/taught/science/mscmathematics/

Student Profile

"Further to my studies at Swansea University as a Master of Science graduate in Financial Mathematics, I am currently working at Deutsche Bank in London as part of the Structured Financial Services team providing client services for corporate lending and debt portfolios. The complex nature of the Mathematics course has helped me become a logical decision maker and a highly skilled problem solver. These transferable skills are very useful in the world of Finance since the role is highly challenging working towards deadlines and structured transaction targets. My studies at Swansea University have also enriched me with leadership, motivational skills and have enhanced my communication skills. I work in a close team of 10 people within a large department which encourages a culture that strives towards learning and effective teamwork. I thoroughly enjoyed my time at Swansea University and cherish the many fond memories. I am so pleased to be expanding my horizon within a major financial centre."

Rhian Ivey, BSc Mathematics, MSc Mathematics and Computing for Finance



Read less
Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability. Read more
Engineering mathematics is the art of applying mathematical and engineering principles to complex, real-world problems across areas as wide-ranging as artificial intelligence, ecology, medicine, physics, social media and sustainability.

With this MSc, students are fully embedded within an engineering faculty, benefiting from unrivalled access to a broad range of industrial collaborations and pioneering research.

Spanning engineering, mathematics and computer science, this programme would suit graduates from any related discipline who would like to become versatile at solving multi-disciplinary challenges.

Upon completion, you will meet the increasing demand from the industrial, government and service sectors for maths-savvy graduates who can work across traditional boundaries and drive high-tech innovation. From designing formula one cars, to biomedicine and development of renewable energy technologies, our engineering graduates go on to a wide range of exciting careers.

Programme structure

The units are organised around three key strands: engineering, computational science and mathematical and statistical training.

In order to tailor to the needs of the student, each strand is agreed based on previous experience and prior learning. Based on taught content, appropriate units are aligned with each strand.

Cross-references are carefully designed throughout the three stands to ensure that all graduates obtain a uniform level of background knowledge and appropriate specialisation.

Teaching consists of core units on:

- Applied statistics
- Artificial intelligence
- Engineering mathematics
- Nonlinear dynamics and chaos
- Numerical methods
- Optimisation theory and applications
- Partial differential equations

Real-world problem solving is integral to each unit and spans many different application areas - from robotics and social media to medicine and environmental modelling. Problems come from our industrial collaborators or address challenges in current research.

Having successfully completed the taught units, you will prepare a 60-credit MSc thesis during the summer term, to be submitted at the end of the academic year.

Careers

This programme provides a highly creative, challenging and enjoyable experience, which will be excellent preparation for your future career. It will give you the tools to be successful in a variety of careers, many of which enable you to apply your knowledge and skills.

Our extensive connections with industry, through collaborative research and consultancy, makes the MSc in Engineering Mathematics very relevant professionally. Many graduates from this department have gone on to work for companies that recruit mathematicians as well as engineers, such as Airbus, Goldman Sachs and Red Bull Racing.

Read less
Data Science. enables organisations to uncover deep insights and gain a competitive edge by making sense of massive data sets. This professional programme has been developed in partnership with world-leading, global data companies and is uniquely taught at their offices. Read more

Data Science enables organisations to uncover deep insights and gain a competitive edge by making sense of massive data sets.

This professional programme has been developed in partnership with world-leading, global data companies and is uniquely taught at their offices.

Designed specifically for professionals already working with data, the programme allows companies and individuals to acquire the skills necessary to meet sophisticated demands of deep insight generation, across any dataset.

Featuring intensive week-long residentials, this programme is ideal for working professionals, enabling graduate-level career development, without the risk of leaving your job.

The programme is flexible and can be delivered over 2 or 3 years, with assessment tailored to relevant projects in your company.

Benefits for students

  • Broaden your career prospects
  • Gain skills to revolutionise your organisation’s decision making
  • Expand your professional network
  • Study at the offices of world-class companies, without leaving employment

Benefits for employers

  • Transform your data into insight and competitive advantage
  • Acquire in-house expertise, without recruiting
  • Intensive and flexible part-time delivery affords minimum disruption to your business
  • Exceptional opportunity to include in talent management programmes

Modules

Introduction to data science; fundamentals of data science; from data to decisions; data in business and society. View website for more information: https://www.exeter.ac.uk/postgraduate/taught/datascience/msc-data-science/#Programme-structure

Assessment method

All modules are assessed by diverse assignments aligned with industry needs and expectations such as management style reports, project group activities and including group and individual presentations. Some assessments will be undertaken at residentials including more formal assessment types.



Read less
Energy supply is fundamentally important to our homes and workplaces. Read more

Energy supply is fundamentally important to our homes and workplaces. Future energy supply has to be stable, secure, not only affordable but sustainable, which makes energy supply a systems engineering problem. Energy Informatics is an emerging discipline that utilises powerful tools from modern information technology to analyse data from different energy systems and sources to solve energy supply problems.

Who is it for?

This course is suitable for Computer Science, Mathematics, Engineering and Information Technology graduates and practicing IT engineers wishing to pursue a technical management career in the strongly growing energy industry sector. It develops professional engineers and scientists with the multidisciplinary skills and ability to analyse current and future energy engineering problems.

Why this course?

Developed economies now face a number of challenges in procuring energy security and responding to energy pricing and affordability issues, as well as dealing with contributions to carbon emission targets. Due to the growth of sustainable and renewable energy production, energy informatics plays a significant role in managing the world's growing energy demand. Both developed and developing countries are facing great challenges in improvements in energy efficiency, reductions of greenhouse gas emissions and enlargements of renewable energy applications. For example, the UK Government has set ambitious targets to decrease the greenhouse gas emissions to 80% of today’s by 2050; the China Government has also planned to significantly reduce CO2 emissions to a level of 5,000 million tons in 2050, which is half of current emissions.

Through this course, you will develop professional informatics skills required in the growing energy sector, with essential abilities applicable in both the renewables industry (wind, geothermal and solar) and the traditional energy industry (oil and gas).

Students benefit from dedicated state-of-the-art facilities including unique engineering-scale facilities for the development of efficient technologies with low CO2 emissions. In addition to management, communication, team work and research skills, each student will attain at least the following learning outcomes from this degree course:

  • Develop systematic strategies using traditional methods to resolve the technical and economic issues involved in the design and operation of industrial energy systems.
  • Apply effectively the informatics knowledge gained to solve practical problems in principal subject areas of energy systems.

Informed by Industry

We have a world class reputation for our industrial-scale research and pilot-scale demonstration programmes in the energy sector. Close engagement with the energy and transport sectors over the last 20 years has produced long-standing strategic partnerships with the sectors most prominent players. The strategic links with industry ensures that all of the material taught on the course is relevant, timely and meets the needs of organisations competing within the energy sector. This industry-led education makes our graduates some of the most desirable in the world for energy companies to recruit.

Course details

The taught programme for the Energy Informatics masters is generally delivered from October to February and is comprised of eight modules. The modules are delivered over one week of intensive delivery with a second week being free from structured teaching to allow time for more independent learning and reflection.

Students on the part-time programme will complete all of the modules based on a flexible schedule that will be agreed with the course director.

Group project

The group project is an applied, multidisciplinary, team-based activity. Often solving real-world, industry-based problems, students are provided with the opportunity to take responsibility for a consultancy-type project while working under academic supervision. Success is dependent on the integration of various activities and working within agreed objectives, deadlines and budgets. Transferable skills such as team work, self-reflection and clear communication are also developed.

Individual project

The individual project is the chance for students to focus on an area of particular interest to them and their future career. Students select the individual project in consultation with the Thesis Co-ordinator, their allocated supervisor and their Course Director. These projects provides students with the opportunity to demonstrate their ability to carry out independent research, think and work in an original way, contribute to knowledge, and overcome genuine problems in the offshore industry. Many of the projects are supported by external organisations.

Assessment

Taught modules 40%, group project 20% (or dissertation for part-time students), and individual project 40%.

Your career

Graduates from this course will develop diverse and rewarding careers in the extremely promising energy sector. The international nature of this growing field would allow Cranfield graduates to develop careers all over the world.

If you are pursuing further study through continue education (PhD or MBA) in the energy sector, this programme would facilitated this through its international, interdisciplinary, project-oriented course design.



Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X