Study an Energy and Power MSc at Cranfield

Process Systems Engineering MSc 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. The course equips graduates and practicing engineers with the technical knowledge and skills to solve major engineering challenges at process design, operation, and control stages. It also focuses on the development of concepts, methodologies and models both performance prediction of the engineered system to support investment decision-making process. As a result, Cranfield graduates are some of the most desirable in the world for recruitment. Why study Energy and Power at Cranfield? - hear from Dr Gill Drew.


  • Start dateFull-time: October. Part-time: October
  • DurationOne year full-time, two-three years part-time
  • DeliveryTaught modules 40%, Group project 20% (dissertation for part-time students), Individual Research Project 40%.
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time
  • CampusCranfield campus

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. 

Your career

Successful graduates have been able to pursue or enhance careers in a variety of key areas such as:

Engineering consultants, Postdoctoral Research Associate, Teaching Associate, PhD Researcher, Subsea Engineer, Senior Engineer, Telecommunications Engineer, Process Engineer, Layout and Material Flow Engineer, Process Project Engineer, Project & Continuous Improvement Engineer, Senior System Engineer, Lead Storage Engineer.

Cranfield Careers Service
Our Careers Service can help you find the job you want after leaving Cranfield. We will work with you to identify suitable opportunities and support you in the job application process for up to three years after graduation. We have been providing Masters level training for over 20 years. Our strong reputation and links with potential employers provide you with outstanding opportunities to secure interesting jobs and develop successful careers. The increasing interest in sustainability and corporate and social responsibility has also enhanced the career prospects of our graduates.

Graduates have been directly employed by the following companies:

Aramco (Saudi Arabia), Bayer Crop Science, British Petroleum (BP), National Iranian Oil Company, Petroleum Research Institute, Libya, Ecopetrol, Columbia, Emerson Process Management, Ford Motor Company, Hidrostal, China Petroleum Engineering & Construction Corporation, Switzerland, GlaxoSmithKline, Doosan Babcock, Oceaneering, Opal Telecom, Origami Energy, Petrofac Engineering, DIT Ireland, Thistle Seafoods, Sanofi-Synthelabo, Saipem, Process Systems Enterprise, M W Kellog, Solutia Ltd, Saipem, Process Systems Enterprise, ABB, China Petroleum Engineering & Construction Corporation, Ford Motor Company, GlaxoSmithKline, Thistle Seafoods, Origami Energy.

Jorge Martinez Romero Alumni

I am currently a Layout & Material Handling Engineer at Ford Motor Company. During the interview process my interviewer showed interest in my experience at Cranfield. It is a renowned university and therefore greatly valued by employers. I would personally highlight that every single one of my soft skills were tested during the course and helped me stand out from other graduates my age.

Jorge Martinez Romero, Layout & Material Handling Engineer

Why this course?

Process Systems Engineering MSc 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, from chemical and petrochemical processes to pharmaceutical and food processes.

A distinguished feature of this course is that it is not directed exclusively at chemical engineering graduates. Throughout the years, the course has evolved from discussions with industrial advisory panels, employers, sponsors and previous students. The content of the study programme is updated regularly to reflect changes arising from technical advances, economic factors and changes in legislation, regulations and standards.

By completing this course, a diligent student will be able to: 

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

Informed by Industry

Cranfield has a world-class reputation for its industrial-scale research facilities and pilot-scale demonstration programmes in the process systems engineering area. Close engagement with the process industry over the last two decades has produced long standing strategic partnerships with the sectors most prominent players including:

Alstom Power, BP, Chevron, Conoco Philips, Emerson Process Management, npower, RWE, Shell, Siemens, Total.

Accreditation by leading professional bodies help to ensure this degree is recognised in industry as a provider of top graduates.

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 and two elective modules to select from a choice of three. A typical module consists of five days of intensive postgraduate level structured lectures, tutorials or workshops covering advanced aspects of each subject.

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

Course delivery

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

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.

Recent group projects include:

  • Integrated management of production and utility systems in process industries.
  • Multiphase regime monitoring and control using optical fibre sensing.
  • CO2 capture and energy storage technologies for decarbonisation of power sector.
  • Energy production and demand management in smart microgrids based on combined heat and power units.

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 common for our industrial partners to put forward real practical problems or areas of development as potential research topics. The individual research project component takes place between April and August.

For part-time students, it is common that their research project is undertaken in collaboration with their place of work.

Research projects will involve designs, computer simulations, techno-economic feasibility assessments, reviews, practical evaluations and experimental investigations.

Typical research areas include:

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

  • Optimization frameworks for the design and planning of oil and gas supply chains.
  • Operational planning and maintenance of utility systems.
  • Optimal design and planning of biomass supply chains.
  • Inferential slug control of a U-shaped riser.
  • Self-optimizing control of Tennessee Eastman plant.
  • Design/simulation of a lab-scale fixed-bed reactor for CO2 capture-remove process.
  • Effluent treatment system for a secondary pharmaceutical site.
  • Condition monitoring in subsea engineering.
  • CHP systems with Stirling power generator.
  • Electro-chemical coolers for small-scale refrigeration.


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 compulsory and elective (where applicable) modules which are currently affiliated with this course. All modules are indicative only, and may be subject to change for your year of entry.

Course modules

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

Process Plant Operations

Module Leader
  • Dr Dawid Hanak

    To provide an overview of the fundamental principles of typical unit operations in process plants.

    • Overview of process plant operations: Equipment for resource recovery. Raw material preparation.. Downstream processing. Effluent control and services.
    • Contactors:  Stirred vessels (impeller design, flow patterns, flow and turbulence, power input, mixing, gas-liquid and liquid-liquid contact, non-Newtonian fluids). Fluidised beds. Packed beds. Bubbling columns. Two-phase flow. Pulsed columns. Rotating disc and Rushton-Oldshue columns.
    • Evaporators: Design of heating calandria. Climbing film. Boiling heat fluxes. Multiple effect. Scraped film. Vapour recompressions.
    • Crystallisers: Cooling and evaporative. Solubilities. Primary and secondary nucleation. Crystal growth. Size distributions. Precipitation.
    • Dryers: Batch drying. Constant and falling rates. Diffusion in pores. Adiabatic saturation. Continuous drying. Pneumatic dryers. Spray dryers. Evaporation from single drop. Droplet trajectories.  Freeze dryers.
    • Thickeners: Design of sedimentation basins. Motion of particles in fluids. Stoke's law. Hindered settling. Size of basing.
    • Filters: Review of designs. Darcy's and Ruth's equations. Incompressible and compressible cakes constant rate and constant pressure.
    • Centrifugal separators: Centrifugal principles. Basket. Disc stack. Horizontal bowl. Batch and continuous operations.
    • Effluent control: Gas absorption. Packed columns. Hydraulics. Flooding. Mass transfer. Solubility. Cyclones and hydrocyclones. Coalescer designs for liquid-liquid separation. De-misters.
    • Services: Simultaneous heat and mass transfer in humidification and water cooling. Design of water cooling towers.
    • Scale-up: General rules and specific procedures.
    • Distillation: Vapour-liquid equilibrium. Types of Distillation. Distillation with Reflux. Distillation column design and operation. 
    • Case Study:  Selection of operating conditions for an ammonia synthesis process.
Intended learning outcomes

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

  • Critically evaluate detailed design features and operating characteristics of the main components of process plants.
  • Critically evaluate the limitations and operating difficulties inherent in process equipment and how to overcome operational problems for industrial processes.
  • Carry out design calculations for a wide range of process plant equipment.
  • Identify the most appropriate equipment components for a given process plant application.

Process Design and Simulation 

Module Leader
  • Dr Dawid Hanak
    Process design, simulation and modelling are industrially-relevant tools to assess the techno-economic feasibility of complex engineering processes. These enable assessing the project feasibility and optimising the process plant design before the actual process plant is build. These tools are widely applied in the industry to assess a number of process variants and to select the most efficient and cost-effective option. This module aims to introduce the students to the modern techniques and computer aided engineering tools for the design, simulation and optimisation of process systems. Via a large share of process simulation and optimisation case studies, the module will enable the students to gather the hands-on experience of using the commercial software.
    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. 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 Aspen Plus. 

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.

Advanced Control Systems

Module Leader
  • Dr Liyun Lao
    To introduce fundamental concepts, principles, methodologies, and application for the design of advanced control systems for industrial applications.
    • 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
    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.
    • 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 related to energy, process systems, offshore engineering, 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 ModellingIntroduction to Reynolds-averaged Navier Stokes (RANS) simulations and large-eddy simulation (LES).
    • Practical sessions: Fluid process problems are solved employing the widely-used industrial flow solver software FLUENT. Lectures are followed by practical sessions on single/multiphase flows, heat transfer, 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.

Risk and Reliability Engineering

Module Leader
  • Dr Mahmood Shafiee
    To introduce the principles of risk and reliability engineering and associated tools and methods to solve relevant engineering problems in industry.
    • Introduction and fundamentals of risk management and reliability engineering.
    • Failure distributions: how to analysis and interpret failure data, introduce the most commonly used discrete and continuous failure distributions (e.g. Poisson, Exponential, Weibull and Normal).
    • Risk management process: hazard identification, assessment, evaluation and mitigation (risk acceptance, reduction, ignorance, transfer).
    • Risk assessment techniques: risk matrix, Pareto analysis, fault tree analysis (FTA), event tree analysis (ETA), failure mode and effects analysis (FMEA), failure mode, effects and criticality analysis (FMECA), hazard and operability study (HAZOP).
    • Reliability and availability analysis: system duty cycle, breakdown/shudown, MTTF/MTBF/MTTR, survival, failure/hazard rate.
    • Reliability analysis techniques: reliability block diagram (RBD), minimal cut-set (MCS), series and parallel configurations, k-out-of-n systems, active and passive redundancies.  
    • Introduction to structural reliability analysis: stress strength interference and limit state function, first-order / second-order reliability method (FORM/SORM), Damage accumulation and modelling of time-dependent reliability.
    • Identification of the role of inspection and Structural Health Monitoring (SHM) in risk reduction and reliability improvement.
    • Introduction to maintainability and its various measures
    • Workshops and case studies: Work in groups to determine the risk and reliability of subsea production systems, power distribution networks, wind turbines, gas turbines, etc. 
Intended learning outcomes

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

  • Identify and analyse the concepts and principals of risk and reliability engineering and their potential applications to different engineering problems;
  • Assess and analyse appropriate approaches to the collection and interpretation of data in the application of risk and reliability engineering methods;
  • Evaluate and select appropriate techniques and tools for qualitative and quantitative risk analysis and reliability assessment;
  • Analyse and evaluate failure distributions, failure likelihood and potential consequences, and develop solutions for control/mitigation of risks.

Thermal Systems Operation and Design

Module Leader
  • Dr Ali Nabavi
    Design of optimum thermal and energy storage systems is one of the key prerequisites to enhance the performance and efficiency of conventional and future energy systems. This module aims to enable students to combine and apply the principles of heat transfer, thermodynamics and fluid mechanics in the design and optimisation of commercial thermal systems. In addition, the module introduces students to a wide range of challenges and opportunities in waste heat recovery and energy storage, and provides them with practical approaches and solutions to enhance the system efficiency.

    Heat exchanger Design and Operation

    1. Heat exchangers: Classification. Theoretical principles and design of recuperative systems (effectiveness, NTU and capacity ratio approach for parallel-, counter- and cross-flow configurations). Series cross‑flow arrangements. Regenerative heat exchangers (intermittent and continuous systems). Pressure‑loss assessment. Heat‑exchanger optimisation (optimal pressure drop and surface area to maximise economic returns.
    2. Process integration: Heat-exchanger network. Utility systems. Fundamentals of pinch analysis and Energy Analysis.

    Waste Heat Recovery and Thermal Storage

    1. Waste‑heat recovery: Sources of waste heat. Heat recovery for industrial applications. Energy density considerations. Economics of waste-heat recovery.
    2. Thermal storage: Principles and application to hot and cold systems. Storage duration and scale. Sensible and latent heat systems.Phase-change storage materials. Application to source and load matching.

    Refrigeration and Air Conditioning

    1. Application of refrigeration and air conditioning.
    2. Vapour-compression refrigeration systems: Simple systems. Multi-stage compressor systems. Multi-evaporator systems.
    3. Refrigerants:Halocarbon refrigerants. CFC alternatives. Refrigerant-selection criteria.
    4. Refrigeration compressors: Reciprocating compressors. Rotary screw compressors. Scroll compressors. Vane compressors. Centrifugal compressors.
    5. Absorption refrigeration: The absorption process. Properties of fluid-pair solutions. The basic absorption cycle. Double-effect systems.Advances in absorption-refrigeration technology.
    6. Psychrometry and principle Air-conditioning processes: Psychrometry. Heating, cooling, humidification and dehumidification processes.
Intended learning outcomes

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

  • Analyse and design heat exchangers, competently applying the principles of heat transfer, thermodynamics and fluid mechanics
  • Construct optimised heat exchanger networks by applying principles of process integration
  • Recognise and debate  the issues related to the efficient use of thermal energy and appraise  techniques and technologies employed
  • Design and analyse the performance of refrigeration and air conditioning systems.

Process Measurement Systems

Module Leader
  • Dr Liyun Lao
    To introduce a systematic approach to the design of measurement systems for industrial process applications The fundamental concepts, key requirements, typical principles and key applications of the industrial process measurement technology and systems will be highlighted.
    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:

  • Critically assess the factors affecting the operation of a process sensor and 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

    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.
    • 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 the 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.

Teaching team

You will be taught by our multidisciplinary team of leading technology experts including: Dr Dawid Hanak – Lecturer in Clean Energy. (Course Director for MSc in Energy Systems and Thermal Processes and MSc in Process Systems Engineering) Our teaching team work closely with business and have academic and industrial experience. The course also includes inputs from industry that will relate the theory to current best practice. Knowledge gained working with our clients is continually fed back into the teaching programme to ensure that you benefit from the very latest knowledge and techniques affecting industry.


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

How to apply

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.