Bachelor of Engineering (Honours)/Bachelor of Data Science

The Bachelor of Engineering (Honours)/Bachelor of Data Science is available full-time and part time on-campus at the Nathan and Gold Coast campuses. The program includes some Trimester 3 core courses.

Student Income Support

To be classed as a full-time student, you are required to enrol in a minimum number of credit points each standard study period. The minimum credit points for full-time enrolment in this program is 30 credit points.

Trimester 1 and Trimester 2 are deemed standard study periods. As Trimester 3 is a non-standard study period, continuing students moving from one year to the next will not be required to study during this trimester to be eligible for student income support.

Domestic students who commence in Trimester 3 may be eligible for student income support from the onset of study provided they are enrolled full-time in this study period.

Please refer to the Australian Government website for more details.

Civil Engineering
Civil engineers provide a major contribution to society by supporting the design and development of essential services, and by managing and improving the built environment. Demand for civil engineering professionals has grown and is expected to continue be an area of high demand. You could find employment in jobs such as chief civil engineer, construction engineer, municipal engineer, structural engineer, transport engineer, water supply distribution engineer, project manager and consulting engineer.

Electronic Engineering
Our graduates find opportunities in Australia and overseas undertaking the research, design, development and manufacture of electronic systems. You may also find work with employers who specialise in computer-based hardware and software systems. You will be equipped for a career in areas such as communications, including satellite navigation, broadband services and telecommunications, energy production, and transport control systems development. If you specialise in microelectronics you can also look to work in microelectronics design and fabrication. You could find employment in many multinational companies, as well as in specialist technology companies.

Environmental Engineering
Environmental professionals with strong ecological social science backgrounds are in demand both in Australia and internationally. You may find opportunities in government departments such as Transport and Main Roads, Natural Resources and Mines, Department of Science, IT and the Arts (DSITIA) and Environment and Resource Management. You could also find opportunities with consulting firms in the construction, mining, oil, smelting and manufacturing industries, as well as with local government and research organisations.

Mechanical Engineering
Mechanical engineering is the most diverse of all the engineering disciplines, which means you will be able to use your skills in a variety of avenues including design, research, development or production. As a graduate, you will be qualified for a career in medical, automotive, aerospace, renewable energy, marine and sports-related sectors.

Software Engineering
As a graduate, you will be prepared for a career in software development and be equipped to meet the demands of the rapidly changing software industry. You will find employment as a software architect, software developer, software engineer, software tester, IT project manager, systems analyst, security specialist, computational scientist, programmer, networking and communications specialist, and in research and development. Not all engineering graduates work as engineers - the transferrable skills and methodology developed through your degree provide a springboard to any career where critical thinking, the ability to analyse and investigate new information and evidenced-based decision making are valued.

Data Science
Never have we collected so much data about absolutely everything. From things that happen naturally, like climate change or the birth of galaxies, to all the social businesses, individual movements, corporate decisions and human activities. The data is there for its exploitation by machine learning technology, big data, data mining and other artificial intelligence technologies that coupled with traditional statistical analysis enable to produce insights into the future. Nothing is more valuable than anticipation. Thus, data scientist are finding jobs in multiple disciplines.