Computational Fluid Dynamics MSc

Program Overview

The Computational Fluid Dynamics (CFD) MSc program at Cranfield University equips students with the knowledge and skills to apply CFD methods across various fields, from aerospace to bio-medical flows. The program combines taught modules, individual research projects, and group projects, providing a strong foundation for a career in this exciting engineering discipline. Graduates are highly sought after by industries seeking CFD specialists, with opportunities for career progression and leadership roles.

Program Outline

Degree Overview:

The Computational Fluid Dynamics (CFD) MSc program:

• Duration: Full-time: 1 year; Part-time: Up to 3 years
• Delivery: Taught modules (40%), individual research project (40%), group project (20%)
• Qualification: MSc
• Available Modes: Full-time / Part-time
• Campus: Cranfield campus

Objectives:

• Equip students with the knowledge and appreciation necessary for a strong foundation in a career in this exciting engineering discipline.
• Enable students to understand, write and apply CFD methods across a broad range of fields, from aerospace to bio-medical flows.
• Develop students' ability to:
• Design and implement numerical methods for CFD problems.
• Analyze complex fluid flow phenomena.
• Apply CFD to real-world engineering problems.

Program Description:

• Addresses the increasing global demand for CFD specialists.
• Bridges the gap between undergraduate and professional CFD expertise.
• Shares modules with other MSc programs within the school, facilitating interaction with students from different disciplines.
• Offers opportunities for work-based placements with leading companies in the field.

Key Features:

• Informed by industry trends and requirements.
• Focus on practical skills and applications.
• Integration of lectures, computer-based labs, and research projects.
• Opportunities for industry collaboration and engagement.

Outline:

Program Content:

• Introduction to Fluid Mechanics and Heat Transfer
• Numerical Methods and High Performance Computing
• Numerical Modelling for Compressible Flows
• Turbulence Modelling
• Grid Generation / CAD
• Data Analysis and Uncertainty
• Numerical Modelling for Incompressible Flows

Structure:

• Taught modules (40%) delivered from October to April via lectures and computer-based labs.
• Individual research project (40%) focused on a specific area of interest.
• Group project (20%) simulating a consultancy environment with real-world problem solving.

Course Schedule:

• October to April: Taught modules.
• May to September: Individual research project.

Individual Modules:

• Introduction to Fluid Mechanics and Heat Transfer:
• Thermodynamics of gases and liquids.
• Heat transfer.
• Compressible and incompressible flows.
• Dimensional analysis.
• Governing equations of fluid dynamics.
• Unstable and turbulent flows.
• Numerical Methods and High Performance Computing:
• Numerical analysis.
• Numerical methods for PDEs.
• High performance computing (HPC).
• Numerical Modelling for Compressible Flows:
• Hyperbolic systems of PDEs.
• Conservation laws.
• Non-linearities and shock formation.
• Riemann problem.
• Turbulence Modelling:
• RANS equations.
• Turbulence closure methods.
• Large Eddy Simulations (LES).
• Direct Numerical Simulations (DNS).
• Grid Generation / CAD:
• Grid generation methods.
• Structured and unstructured approaches.
• Commercial CAD and grid generation software.
• Data Analysis and Uncertainty:
• Visualization methods.
• Data mining.
• Error and uncertainty quantification.
• Numerical Modelling for Incompressible Flows:
• Governing equations for incompressible flows.
• Numerical methods for incompressible flows.
• Applications in science and engineering.

Assessment:

Assessment Methods:

• Continuous assessment throughout the course.
• Final written exams for some modules.
• Individual research project with a thesis.
• Group project with a presentation and report.

Assessment Criteria:

• Knowledge and understanding of fluid dynamics and CFD concepts.
• Ability to apply CFD methods to real-world problems.
• Numerical skills and proficiency with CFD software.
• Communication and presentation skills through individual and group projects.

Teaching:

Teaching Methods:

• Lectures.
• Computer-based labs.
• Tutorials.
• Individual supervision for research projects.
• Group project supervision.

Faculty:

• Experienced academic staff from Cranfield University.
• Active researchers with industry collaborations.
• Expertise in various areas of fluid dynamics and CFD.
• Regular guest lectures from industry professionals.

Unique Approaches:

• Individual research project allowing students to specialize in a specific area of interest.
• Group project simulating a real-world consultancy environment.
• Integration of theory and practice through lectures, labs, and projects.
• Strong industry links and involvement.

Careers:

Career Paths:

• CFD engineer.
• Computational fluid dynamics specialist.
• Aerospace engineer.
• Automotive engineer.
• Energy engineer.
• Research scientist.

Opportunities:

• Opportunities for placements and internships with leading companies.
• High demand for CFD specialists in various industries.
• Potential for career progression and leadership roles.

Outcomes:

• Graduates employed in a range of roles across various sectors.
• Some graduates continuing their studies with PhD degrees.
• Strong reputation and employability supported by the Career Service.

Other:

Student Testimonial:

"William Morris, Computational Fluid Dynamics MSc, part-time, 2019: Studying for this MSc has opened up different opportunities within my current company... The assignments were challenging but they make they make you think which really helps you to see the bigger picture..."

Industry Accreditations:

• Accredited by Mechanical Engineers (IMechE) and Royal Aeronautical Society (RAeS) for further learning towards CEng registration.

Part-time Option:

• Available for professionals seeking to enhance their career prospects while maintaining full-time employment.
• Requires attendance during one-week blocks (7 blocks over 2-3 years) with independent study in between.

Tuition Fees and Payment Information:

Home fees MSc Full-time £12,505 MSc Part-time £12,505 Overseas fees MSc Full-time £27,910 MSc Part-time £27,910

• Fees can be paid in full up front, or in equal annual instalments.
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.