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.

Energy and power course video

At a glance

  • Start dateFull-time: October. Part-time: October
  • DurationOne year full-time, two-three years part-time
  • DeliveryTaught modules 40%, group project 20% (or dissertation for part-time students), and individual project 40%.
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time

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.

Your teaching team

You will be taught by industry-active research academics from Cranfield with an established track record, supported by visiting lecturers from industry. To ensure the programme is aligned to industry needs, the course is directed by its own Industrial Advisory Committee.

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%.

University Disclaimer

Keeping our courses up-to-date and current requires constant innovation and change. The modules we offer reflect the needs of business and industry and the research interests of our staff and, as a result, may change or be withdrawn due to research developments, legislation changes or for a variety of other reasons. Changes may also be designed to improve the student learning experience or to respond to feedback from students, external examiners, accreditation bodies and industrial advisory panels.

To give you a taster, we have listed the core modules and some optional modules affiliated with this programme which ran in the academic year 2017–2018. There is no guarantee that these modules will run for 2018 entry. All modules are subject to change depending on your year of entry.

Compulsory modules
All the modules in the following list need to be taken as part of this course

Risk and Reliability Engineering

Module Leader
  • Dr Athanasios Kolios
Aim

    To introduce the principles of risk management and reliability engineering and solve relevant engineering problems through widely applied methods and tools.

Syllabus
    • Introduction and Fundamentals of Risk and Reliability Engineering
    • Risk Management Process
    • Statistics, Probabilities and Mathematics for Risk Analysis
    • Failure mode, effects, and criticality analysis (FMEA/FMECA)
    • Hazard and operability study (HAZOP) Analysis
    • Practical Session #1: Basic Statistics, FMEA/HAZOP
    • Qualitative Reliability Analysis (FTA/ETA)
    • Systems modelling using Reliability Block Diagrams
    • System Reliability through software
    • Practical Session #2: System modelling and Reliability
    • Quantitative Reliability Analysis, Introduction to MCS
    • Risk Control and Decision Support Systems, Failure Consequences
    • Introduction to Stochastic Modelling Using @Risk
    • Insurance and Certification of Engineering Applications
    • Practical Session #3: Stochastic Modelling using @Risk
    • Asset Integrity Management
    • Risk-Based Inspection and Reliability-Centred Maintenance
    • Reliability, Availability, Maintainability and Safety (RAMS) Analysis
    • Introduction to inspection and Structural Health Monitoring (SHM)
    • Case study of risk/reliability and criticality assessment
    • Full day workshop: “Wind turbine electromechanical assembly / Subsea Tie-back Manifold Reliability"
    • Revision Session.
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Demonstrate a systematic knowledge of the fundamentals of risk management and reliability engineering and a critical awareness of their application on relevant engineering problems;
  • Evaluate and select appropriate techniques for risk analysis (qualitative and quantitative), failure consequences assessment, and methods for control/mitigation through decision support systems and other relevant methods/tools;
  • Assess and analyse appropriate approaches to the collection and modelling of data in the application of Quantitative Risk Assessment (QRA) methods;
  • Develop a critical and analytical approach to selection and application of relevant standards and asset integrity management concepts.

Informatics for the Energy Industry (subject to University approval)

Module Leader
  • Dr Gill Drew
Aim

    Coming soon

Syllabus

    Coming soon

Intended learning outcomes

Coming soon

Advanced Control Systems

Module Leader
  • Dr Yi Cao
Aim

    To introduce methodologies for the design of control systems for industrial applications.

Syllabus
    • System dynamics: Modelling of typical physical systems. Operating point. Linearization. Differential equation representation. State space representation of systems. Laplace transforms. Transfer functions. Block diagrams. SISO and MIMO systems. Time and frequency domain responses of systems.
    • Feedback control: Positive and negative feedback. Stability. Methods for stability analysis. Closed loop performance specification. PID controllers. Ziegler-Nichols. Self-tuning methods.
    • Enhanced controllers: Cascade control. Feedforward control. Control of non-linear systems. Control of systems with delay.
    • Digital controllers: Effects of sampling. Implementation of PID controller. Stability and tuning.
    • Advanced control topics: Hierarchical control. Kalman filter. System Identification. Model predictive control. Statistical process control. The use of expert systems and neural networks in industrial control.
    • Design packages for process control systems: Examples including Simulink and MATLAB.
    • Case studies: Examples will be chosen from a range of industrial systems including mechanical, chemical and fluid systems
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Evaluate and select appropriate modelling techniques for dynamic systems
  • Formulate control methodologies in feedback, feedforward and cascade loops
  • Recognise and critically appraise the key design tools and procedures for continuous and discrete controllers of dynamic systems

Computational Fluid Dynamics for Industrial Processes

Module Leader
  • Dr Patrick Verdin
Aim

    To introduce the CFD techniques and tools for modelling, simulating and analysing practical engineering problems with hands on experience using commercial software packages used in industry.

Syllabus
    • Introduction to CFD & thermo-fluids: Introduction to the physics of thermo-fluids, governing equations (continuity, momentum, energy and species conservation) and state of the art Computational Fluid Dynamics including modelling, grid generation, simulation, and high performance computing.  Case study of industrial problems and the physical processes where CFD can be used.
    • Computational Engineering Exercise: specification for a CFD simulation. Requirements for accurate analysis and validation for multi scale problems. Introduction to Turbulence & practical applications of Turbulence Models: Introduction to Turbulence and turbulent flows. Traditional turbulence modelling. 
    • Advanced Turbulence Modelling: Introduction to Reynolds-averaged Navier Stokes (RANS) simulations and large-eddy simulation (LES).
    • Practical sessions: A fluid process problem is solved employing the widely-used industrial flow solver software FLUENT. Lectures are followed by practical sessions to set up and simulate a problem incrementally.  Practical sessions cover the entire CFD process including geometric modelling, grid generation, flow solver, analysis, validation and visualisation.
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Assemble and evaluate the different components of the CFD process.
  • Explain the governing equations for fluid flows and how to solve them computationally.
  • Compare and contrast various methods for simulating turbulent flows applicable to mechanical and process engineering.
  • Set up simulations and evaluate a practical problem using a commercial CFD package.
  • Design CFD modelling studies for use in industrial design of complex systems.

Process Measurement Systems

Module Leader
  • Dr Liyun Lao
Aim

    To introduce a systematic approach to the design of measurement systems for process applications.

Syllabus

    Principles of Measurement System

    • Process monitoring requirements: operating conditions, range, static performance, dynamic performance.
    • Sensor technologies: resistive, capacitive, electromagnetic, ultrasonic, radiation, resonance.
    • Signal conditioning and conversion: amplifiers, filters, bridges, load effects, sampling theory, quantisation theory, A/D, D/A.
    • Data transmission and telemetry: analogue signal transmission, digital transmission, communication media, coding, modulation, multiplexing, communication strategies, communication topologies, communication standards, HART, Foundation Fieldbus, Profibus.
    • Smart and intelligent instrumentation. Soft sensors. Measurement error and uncertainty: systematic and random errors, estimating the uncertainty, effect of each uncertainty, combining uncertainties, use of Monte Carlo methods.
    • Calibration: importance of standards, traceability.
    • Safety aspects: intrinsic safety, zone definitions, isolation barriers. 
    • Selection and maintenance of instrumentation.

     

    Principles of Process Measurement

    • Flow measurement: flow meter performance, flow profile, flow meter calibration; differential pressure flow meters, positive displacement flow meters, turbine, ultrasonic, electromagnetic, vortex, Coriolis flow meters.
    • Pressure measurement: pressure standards, Bourdon tubes, diaphragm gauges, bellows, strain gauges, capacitance, resonant gauges.
    • Temperature measurement: liquid-in-glass, liquid-in-metal, gas filled, thermocouple, resistance temperature detector, thermistor.
    • Level measurement: conductivity methods, capacitance methods, float switches, ultrasonic, microwave, radiation method.
    • Multiphase flow measurement: general features of vertical and horizontal multiphase flow, definition of parameters in multiphase flow, multiphase flow measurement strategies, water cut and composition measurement, velocity measurement, commercial multiphase flow meters, developments in multiphase flow metering.
    • Density and viscosity measurement.
    • Case study: flow assurance instrumentation/ environmental measurement/ measurement issues and challenges in CO2 transportation.
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Demonstrate a critical awareness of the factors affecting the operation of a process sensor and a familiarity with the types and technologies of modern process sensors.
  • Examine the factors which have to be considered when designing a process measurement system.
  • Propose the most appropriate measurement system for a given process application.

Management for Technology

Module Leader
  • Stephen Carver
Aim

    The importance of technology leadership in driving the technical aspects of an organisations products, innovation, programmes, operations and strategy is paramount, especially in today’s turbulent commercial environment with its unprecedented pace of technological development.  Demand for ever more complex products and services has become the norm.  The challenge for today’s manager is to deal with uncertainty, to allow technological innovation and change to flourish but also to remain within planned parameters of performance.  Many organisations engaged with technological innovation struggle to find engineers with the right skills.  Specifically, engineers have extensive subject/discipline knowledge but do not understand management processes in organisational context.  In addition, STEM graduates often lack interpersonal skills.


Syllabus
    • Engineers and Technologists in organisations: The role of organisations and the challenges facing engineers and technologies.
    • People management: Understanding you. Understanding other people. Working in teams. Dealing with conflicts.
    • The Business Environment: Understanding the business environment; identifying key trends and their implications for the organisation.
    • Strategy and Marketing: Developing effective strategies; Focusing on the customer; building competitive advantage; The role of strategic assets.
    • Finance: Profit and loss accounts. Balance sheets. Cash flow forecasting.Project appraisal.
    • New product development: Commercialising technology. Market drivers. Time to market. Focusing technology. Concerns.
    • Business game: Working in teams (companies), students will set up and run a technology company and make decisions on investment, R&D funding, operations, marketing and sales strategy.
    • Negotiation: Preparation for Negotiations. Negotiation process. Win-Win solutions.
    • Presentation skills: Understanding your audience. Focusing your message. Successful presentations. Getting your message across.
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Recognise the importance of teamwork in the performance and success of organisations with particular reference to commercialising technological innovation.
  • Operate as an effective team member, recognising the contribution of individuals within the team, and capable of developing team working skills in themselves and others to improve overall performance of a team.
  • Compare and evaluate the impact of the key functional areas (strategy, marketing and finance) on the commercial performance of an organisation, relevant to the manufacture of a product or provision of a technical service.
  • Design and deliver an effective presentation that justifies and supports any decisions or recommendations made.
  • Argue and defend their judgements through constructive communication and negotiating skills.

Elective modules
A selection of modules from the following list need to be taken as part of this course

Process Design and Simulation 

Module Leader
  • Dr Giorgos Kopanos
Aim
    To introduce modern techniques and computed aided tools for the design, simulation and optimisation of process systems.
Syllabus

    Process Design

    • Overview: Conceptual process design. Process flow-sheeting.
    • Process synthesis: Overview of a process system. Recycle structure of the flowsheet. Design of reaction and separation systems.
    • Process integration: Basic concepts of process integration for heat exchanger network design.
    • Process economic analysis: Equipment capital cost estimation. Process profitability analysis.

    Process Modelling, Simulation and Optimisation

    • Modelling and simulation: Basic concepts of process modelling. General concepts of simulation. Introduction to steady and dynamic process simulation. Introduction to commercial simulation software packages (i.e, Aspen HYSYS) for process flow-sheeting, design and analysis.
    • Process optimisation techniques: Basic principles of optimisation. Model building in mathematical programming. Introduction to algebraic modelling languages (i.e., GAMS or AIMMS). Presentation of a number of industrial case studies. (e.g., heat exchanges network synthesis).

    Case Studies (PC Lab and Demonstration Sessions)

    • A number of process simulation and optimisation case studies will be carried out using Aspen HYSYS and GAMS or AIMMS. 
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Formulate strategies to carry out a process design and critically appraise the techniques and major commercial simulation tools for steady and dynamic process simulation. 
  • Apply competently the basic principles of process optimisation.
  • Design and analyse the performance of a process plant using simulation or optimisation tools.

Power Generation Systems

Module Leader
Aim

    Understanding of the principles of operation, configuration, characteristics and key implementation issues of various types of power plant.

Syllabus
    • Overview: World electricity demand and generation. Fuels. Environmental impacts.
    • Steam power plants: Thermodynamic principles. Fuels. Steam power generation cycles.
    • Gas turbine and combined-cycle power plants: Gas turbine engines and performance. Gas turbine cycles. Combined-cycle power plants.
    • Diesel- and gas-engine power plants: Diesel engines. Fuels. Emission control. Heat recovery systems.
    • Nuclear power generation: Basic nuclear physical processes (fission and fusion). Nuclear fuels. Types of reactors. Safety considerations in the nuclear industry. Developments in nuclear fusion. Decommissioning problems of nuclear sites. Nuclear‑waste disposal systems.
    • Fuel cells: Definition and principles of operation. Losses and efficiency. Possible fuels. Fuel-cell technologies and applications (alkaline fuel cells, molten carbonate fuel cells, phosphoric acid fuel cells, solid oxide fuel cells, and regenerative fuel cells).
    • CHP systems: CHP schemes (micro-scale CHP systems, small‑scale CHP systems, large‑scale CHP systems including district heating schemes). Application of CHP systems for the provision of heating, cooling and electric power. Selection criteria of CHP prime-movers. Integration of CHP systems into site services. Feasibility analysis of CHP schemes using spreadsheets/software tools. Case study (site appraisal for CHP scheme and evaluation of economic and environmental viability).
Intended learning outcomes

On successful completion of this module a student should be able to:

  • Critically evaluate the fundamentals and laws governing energy conversion
  • Debate  issues related to the performance of conventional power-generation plants
  • Propose appropriate  technologies  for improving energy-utilisation efficiency of power-generation plants
  • Assess the need of a particular industrial/commercial site for a CHP system, identify the appropriate systems and undertake design, sizing and economic analyses
  • Review critically technologies employed for fuel-cell systems and advances in their applications

Advanced Optimisation of Process and Energy Systems

Module Leader
  • Dr Giorgos Kopanos
Aim

    To introduce fundamental optimisation principles and tools for the design, analysis and optimisation of processes and operations in the energy and process industry.

Syllabus
    • Nonlinear unconstrained and constrained optimisation principles.
    • Linear programming.
    • Mixed integer programming.
    • Decision-making model building.
    • Introduction to multi-parametric programming.
    • Optimisation under uncertainty.
    • Introduction to general algebraic modelling languages (i.e., GAMS and AIMMS).
    • Several optimisation problems to be addressed, such as:
      • Heat exchanger networks design.
      • Process synthesis and optimal selection of processes.
      • Operational and cleaning planning of network of compressors.
      • Production scheduling and planning.
      • Energy planning of combined heat and power systems.
      • Supply chain operations in energy and process industries.
    • Presentation of real case studies from the energy and process industry.

Intended learning outcomes

On successful completion of this module a student should be able to:

  • Appraise basic optimisation and model building principles, and a familiarity with optimisation tools.
  • Apply effectively state-of-the-art decision-making approaches in supply chain problems (process and energy systems).
  • Apply competently optimisation methods for problems related to energy and process industries.
  • Design and optimise the operational aspects of a process plant or energy system using optimisation tools. 

Fees and funding

European Union students applying for university places in the 2017 to 2018 academic year and the 2018 to 2019 academic year will still have access to student funding support. Please see the UK Government’s announcement (21 April 2017).

Cranfield University welcomes applications from students from all over the world for our postgraduate programmes. The Home/EU student fees listed continue to apply to EU students.

MSc Full-time £8,500
MSc Part-time £1,635 *
PgDip Full-time £6,500
PgDip Part-time £1,635 *
PgCert Full-time £3,250
PgCert Part-time £1,635 *
  • * The annual registration fee is quoted above and will be invoiced annually. An additional fee of £1,340 per module is also payable on receipt of invoice. 
  • ** Fees can be paid in full up front, or in equal annual instalments, up to a maximum of two payments per year; first payment on or before registration and the second payment six months after the course start date. Students who complete their course before the initial end date will be invoiced the outstanding fee balance and must pay in full prior to graduation.

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2018 and 31 July 2019.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • A deposit may be payable, depending on your course.
  • Additional fees for extensions to the agreed registration period may be charged and can be found below.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.

For further information regarding tuition fees, please refer to our fee notes.

MSc Full-time £19,000
MSc Part-time £19,000 **
PgDip Full-time £15,200
PgDip Part-time £15,200 **
PgCert Full-time £7,600
PgCert Part-time £11,310 **
  • * The annual registration fee is quoted above and will be invoiced annually. An additional fee of £1,340 per module is also payable on receipt of invoice. 
  • ** Fees can be paid in full up front, or in equal annual instalments, up to a maximum of two payments per year; first payment on or before registration and the second payment six months after the course start date. Students who complete their course before the initial end date will be invoiced the outstanding fee balance and must pay in full prior to graduation.

Fee notes:

  • The fees outlined apply to all students whose initial date of registration falls on or between 1 August 2018 and 31 July 2019.
  • All students pay the tuition fee set by the University for the full duration of their registration period agreed at their initial registration.
  • A deposit may be payable, depending on your course.
  • Additional fees for extensions to the agreed registration period may be charged and can be found below.
  • Fee eligibility at the Home/EU rate is determined with reference to UK Government regulations. As a guiding principle, EU nationals (including UK) who are ordinarily resident in the EU pay Home/EU tuition fees, all other students (including those from the Channel Islands and Isle of Man) pay Overseas fees.

For further information regarding tuition fees, please refer to our fee notes.

Funding Opportunities

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.

GREAT China Scholarship
The GREAT Cranfield University Scholarship China is jointly funded by Cranfield University and the British Council. Two scholarships of £11,000 each for Chinese students are available.

The Cranfield Scholarship

We have a limited number of scholarships available for candidates from around the world applying for the 2017 intake. Scholarships are awarded to applicants who show both aptitude and ability for the subject they are applying. Find out more about the Cranfield Scholarship

Postgraduate Loan from Student Finance England

A Postgraduate Loan is now available for UK and EU applicants to help you pay for your Master’s course. You can apply for a loan at GOV.UK

Santander MSc Scholarship

The Santander Scholarship at Cranfield University is worth £5,000 towards tuition fees for full-time master's courses. Check the scholarship page to find out if you are from an eligible Santander Universities programme country.

Chevening Scholarships

Chevening Scholarships are awarded to outstanding emerging leaders to pursue a one-year master’s at Cranfield university. The scholarship includes tuition fees, travel and monthly stipend for Master’s study.

Commonwealth Scholarships for Developing Countries

Students from developing countries who would not otherwise be able to study in the UK can apply for a Commonwealth Scholarship which includes tuition fees, travel and monthly stipend for Master’s study.

Future Finance Student Loans

Future Finance offer student loans of up to £40,000 that can cover living costs and tuition fees for all student at Cranfield University.

Erasmus+ Student Loans

This new loan scheme for EU students is offered by Future Finance and European Investment Fund and provides smart, flexible loans of up to £9,300.

Cranfield Postgraduate Loan Scheme (CPLS)

The Cranfield Postgraduate Loan Scheme (CPLS) is a funding programme providing affordable tuition fee and maintenance loans for full-time UK/EU students studying technology-based MSc courses.

Conacyt (Consejo Nacional de Ciencia y Tecnologia)

Cranfield offers competitive scholarships for Mexican students in conjunction with Conacyt (Consejo Nacional de Ciencia y Tecnologia) in science, technology and engineering.

Entry requirements

A first or second class UK Honours degree (or equivalent) in engineering, physics, maths or computer science and information technology/informatics disciplines. Other recognised professional qualifications or several years relevant industrial experience may be accepted as equivalent; subject to approval by the Course Director.

Applicants who do not fulfil the standard entry requirements can apply for the Pre-Masters programme, successful completion of which will qualify them for entry to this course for a second year of study.


English Language

If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. Our minimum requirements are as follows:

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).

Students requiring a Tier 4 (General) visa must ensure they can meet the English language requirements set out by UK Visas and Immigration (UKVI) and we recommend booking a IELTS for UKVI test.

Applicants who do not already meet the English language entry requirement for their chosen Cranfield course can apply to attend one of our Presessional English for Academic Purposes (EAP) courses. We offer Winter/Spring and Summer programmes each year to offer holders.

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.

Applying

Online application form. UK students are normally expected to attend an interview and financial support is best discussed at this time. Overseas and EU students may be interviewed by telephone.

Apply Now