Course Summary
This one year full-time (or between two and three year part-time) course provides graduate engineers with the skills to design modern computational products and systems. Graduates specialise in fundamental theory and applications relating to the generation, distribution, analysis, and information use in engineering / science.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
Application Details
Computational Engineering (P.Grad.Cert) - Part-Time 31/Jul/2024
Computational Engineering (P.Grad.Dip) - Full-Time 31/JUL/2024
Computational Engineering (M.Sc./P.Grad.Dip./P.Grad.Cert) - Full-Time 31/Jul/2024
Next Intake September 2024
Fees
Computational Engineering (P.Grad.Dip) - Full-Time 31/JUL/2024
Computational Engineering (M.Sc./P.Grad.Dip./P.Grad.Cert) - Full-Time 31/Jul/2024
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Realist
Realists are usually interested in 'things' - such as buildings, mechanics, equipment, tools, electronics etc. Their primary focus is dealing with these - as in building, fixing, operating or designing them. Involvement in these areas leads to high manual skills, or a fine aptitude for practical design - as found in the various forms of engineering.
Realists like to find practical solutions to problems using tools, technology and skilled work. Realists usually prefer to be active in their work environment, often do most of their work alone, and enjoy taking decisive action with a minimum amount of discussion and paperwork.
Career Progression
While some of our students choose to undertake Ph.D. research, most of our graduates enter the job market after qualifying. They have gained employment in industries including digital assistive technology (speech recognition and synthesis), automotive systems (remote sensing and cyber physical control), economics (quantitative automated trading), entertainment (audio-video streaming and cinema visual effects), health (medical imaging) and computational science and engineering.