Process systems engineering deals with the design, operation, optimisation and control of all kinds of chemical, physical, and biological processes through the use of systematic computer-aided approaches. Its major challenges are the development of concepts, methodologies and models for the prediction of performance and for decision-making for an engineered system.

Process Systems Eng

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% (dissertation for part-time students), Individual Research Project 40%
  • QualificationMSc, PgDip, PgCert
  • Study typeFull-time / Part-time

Who is it for?

Suitable for engineering and applied science graduates who wish to embark on successful careers as process systems engineering professionals. 

The course equips graduates and practising engineers with an in-depth knowledge of the fundamentals of process systems and an excellent competency in the use of state-of-the-art approaches to deal with the major operational and design issues of the modern process industry. The course provides up-to-date technical knowledge and skills required for achieving the best management, design, control and operation of efficient process systems. 

Why this course?

Process systems engineering constitutes an interdisciplinary research area within the chemical engineering discipline. It focuses on the use of experimental techniques and systematic computer-aided methodologies for the design, operation, optimisation and control of chemical, physical, and biological processes, e.g. from chemical and petrochemical processes to pharmaceutical and food processes. 

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

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

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

Your teaching team

You will be taught by an expert multidisciplinary team from Cranfield University.

  • Dr Giorgos Kopanos, Course Director. A specialist in energy and process systems engineering that focuses on the development of optimisation-based frameworks for solving real-world planning and scheduling problems in food, chemical and energy industries.
  • Dr Yi Cao, specialist in advanced process control, including nonlinear system identification, nonlinear model predictive control, plantwide process control, self-optimising control and statistical process monitoring.
  • Dr Athanasios Kolios, specialist in risk and reliability engineering and operational management of offshore/marine structures.
  • Dr Ilai Sher, specialist in the study of thermo-fluid phenomena and thermal systems, particularly boiling heat-transfer, IC engines, and spraying systems.
  • Dr Liyun Lao, specialist in instrumentation and process measurement systems, and oil and gas exploration and production.
  • Dr Patrick Verdin, specialist in Computational Fluid Dynamics applied to single/multiphase flows and phase change problems for oil and gas applications.

Knowledge gained from working with our clients is continually fed back into the teaching programme, to ensure that students benefit from the very latest knowledge and state-of the-art techniques affecting industry. The course also includes visiting lecturers from industry who relate theory to current best practice.


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

Course details

The taught programme for the MSc in Process Systems Engineering is delivered from October to February and is comprised of six compulsory taught modules. There are four optional modules to select the remaining two modules from.

Group project

The Group Project, which runs between February and April, enables you to put the skills and knowledge developed during the course modules into practice in an applied context while gaining transferable skills in project management, teamwork and independent research. The group project is usually sponsored by industrial partners who provide particular problems linked to their plant operations. Projects generally require the group to provide a solution to the operational problem. Potential future employers value this experience. This group project is shared across the MSc in Process Systems Engineering and other courses, giving the added benefit of gaining new insights, ways of thinking, experience and skills from students with other backgrounds

During the project you will develop a range of skills including learning how to establish team member roles and responsibilities, project management, and delivering technical presentations. At the end of the project, all groups submit a written report and deliver a presentation to the industrial partner. This presentation provides the opportunity to develop interpersonal and presentation skills within a professional environment.

It is clear that the modern engineer cannot be divorced from the commercial world. In order to provide practice in this matter, a poster presentation will be required from all students. This presentation provides the opportunity to develop presentation skills and effectively handle questions about complex issues in a professional manner.

Part-time students are encouraged to participate in a group project as it provides a wealth of learning opportunities. However, an option of an individual dissertation is available if agreed with the Course Director.

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 very common for our industrial partners to put forward real-world problems or areas of development as potential research topics.

The individual research project component takes place between April/May and August for full-time students. For part-time students, it is common that their research projects are undertaken in collaboration with their place of work under academic supervision; given the approval of the Course Director.

Individual research projects undertaken may involve designs, computer simulations, feasibility assessments, reviews, practical evaluations and experimental investigations.

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.


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

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.

Thermal Systems Operation and Design

Module Leader
  • Dr Ilai Sher

    An understanding of the fundamentals and technologies employed in the management of thermal energy and the tools available for the analysis of performance and design of thermal systems. 


    Heat exchanger Design and Operation

    • 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.
    • Process integration: Heat-exchanger network. Utility systems. Fundamentals of pinch analysis and Energy Analysis.

    Waste Heat Recovery and Thermal Storage

    • Waste‑heat recovery: Sources of waste heat. Heat recovery for industrial applications. Energy density considerations. Economics of waste-heat recovery.
    • 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

    • Application of refrigeration and air conditioning.
    • Vapour-compression refrigeration systems: Simple systems. Multi-stage compressor systems. Multi-evaporator systems.
    • Refrigerants:  Halocarbon refrigerants. CFC alternatives. Refrigerant-selection criteria.
    • Refrigeration compressors: Reciprocating compressors. Rotary screw compressors. Scroll compressors. Vane compressors. Centrifugal compressors.
    • Expansion devices: Capillary tubes. Thermostatic expansion valves. Constant-pressure expansion valves.
    • Absorption refrigeration: The absorption process. Properties of fluid-pair solutions. The basic absorption cycle. Double-effect systems.  Advances in absorption-refrigeration technology.
    • Psychrometry and principle Air-conditioning processes: Psychrometry. Heating, cooling, humidification and dehumidification processes.
    • Air conditioning equipment: Humidifiers. Air washers. Cooling towers.
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 Design and Simulation 

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

    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.

Advanced Control Systems

Module Leader
  • Dr Yi Cao

    To introduce methodologies for the design of 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

Advanced Optimisation of Process and Energy Systems

Module Leader
  • Dr Giorgos Kopanos

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

    • 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. 

Management for Technology

Module Leader
  • Stephen Carver

    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 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

Biofuels and Biorefining Processes

Module Leader
  • Dr Beatriz Fidalgo Fernandez

    The Biofuels and Biorefining module focuses on liquid biofuels as a current opportunity to decrease greenhouse gasses emissions when used to replace fossil fuels in motor engines, and as a route to fulfil the European goals on the use of renewable energy.

    The aim of the module is to provide students with advanced knowledge of the sources of biomass available for liquid biofuels production and the range of technologies used for conversion of the biomass into biofuels. The module covers characteristics of biomass and biofuels, conversion processes and existing technologies, and applications of biofuels including their use in alternative engines. In addition, an introduction to the Biorefining concept will be provided.


    Raw materials for liquid biofuels production, characterization and assessment:

    • Biofuel feedstocks and characteristics: starch- and sugar-derived biomass,oleaginous-based biomass, lignocellulosic biomass, and algae.
    • Sugar, Fatty acid, and Syngas platforms technologies

    First generation of biofuels:

    Bioethanol and ETBE production

    • Enzymes for fermentation 
    • Microbial modelling of bioethanol: microbial growth models, kinetic rare expression, temperature effects.
    • Bioreactor operation and design for bioethanol production
    Biodiesel production
    • Biodiesel production technologies: biochemical, and catalytic and non-catalytic chemical processes. 
    • Biodiesel production: biochemical aspects.
    • Biodiesel production: chemistry and thermodynamic aspects.

    Second generation of biofuels:

    • Thermochemical routes: Biomass-to-Liquids
    • Biochemical routes: Hydrolysis processes

    Third generation of biofuels:

    • Hydrothermal Liquefaction

    Biofuels and their application in engines

    • Standardization of liquid biofuels
    • Use of biofuels in engines

    High-value products from biomass feedstock

    • Main products
    • Current and prospective markets


    • Classification of Biorefineries 
Intended learning outcomes

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

  • Distinguish the range of biomass resources available for liquid biofuels production;
  • Critically evaluate a range of technologies available for liquid biofuels production from biomass and analyse the potential for future reduction in costs through technological development;
  • Explain the main theoretical concepts and practical implementation associated to biofuels engineering systems;
  • Identify the high-value products that can be obtained from biomass feedstock
  • Construct simple biorefining schemes and critically evaluate the potential of biorefining processes.

Risk and Reliability Engineering

Module Leader
  • Dr Athanasios Kolios

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

    • 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.

Process Measurement Systems

Module Leader
  • Dr Liyun Lao

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


    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.

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 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.

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 a engineering or applied science discipline. Other recognised professional qualifications or several-years relevant industrial experience may be accepted as equivalent; subject to approval by the Course Directors.

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 of the course have been successful in gaining employment in:

  • Engineering consultancies and design practices
  • Industry (oil and gas, petrochemical, chemical, food and drink, water and energy)
  • Research organisations
  • Central government departments
  • Local governments
  • Academic institutions.

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
  • Hidrostal, Switzerland
  • GlaxoSmithKline
  • Doosan Babcock
  • Oceaneering
  • Opal Telecom
  • Petrofac Engineering
  • DIT, Ireland
  • Sanofi-Synthelabo
  • M W Kellog
  • Solutia Ltd.


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.

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