This internationally recognised degree will provide you with the in-depth knowledge and practical hands-on expertise to influence and reinforce an organisation's technology infrastructure and support the people who use it.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian bachelor's degree in information technology with a credit average (65 percent), or equivalent qualification or
an Australian Bachelor of Engineering degree with a credit average (65 percent) and a major sequence of study in computer engineering, software engineering, or equivalent qualification or
a University of Sydney Graduate Diploma in Information Technology or Graduate Diploma in Computing, with a credit average (65 percent). Units completed in the graduate diploma/graduate certificate can be credited to the master's degree.
You will gain advanced skills to develop, implement, evaluate, and manage data-driven technologies, and ultimately standout in a global healthcare sector on the cusp of a major transformation through big data, machine learning, and computation.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an honours bachelor's degree, from the University of Sydney in a cognate discipline with at least a credit average (65 percent), or qualifications deemed to be equivalent; or
a bachelor's degree, from the University of Sydney in a cognate discipline with at least a credit average (65 percent), or qualifications deemed to be equivalent and a minimum of two years of relevant work experience; or
completed the Graduate Certificate in Digital Health and Data Science with a minimum of 65% credit average.
Acquire specialised, technical knowledge in biomedical engineering, developing technology to monitor physiological functions and to assist in diagnosis and treatment of patients.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree in the relevant discipline with a credit average (65 percent) or equivalent qualification, or
an Australian Bachelor of Engineering degree in the relevant discipline or equivalent, and five years relevant professional work experience, or
the relevant University of Sydney Graduate Diploma in Engineering or Graduate Certificate in Engineering with a credit average (65 percent).
Develop specialised technical knowledge in telecommunications engineering, learning to design, construct and manage systems that carry out wireless transmission and broadcasting of information.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree in the relevant discipline with a credit average (65 percent) or equivalent qualification, or
an Australian Bachelor of Engineering degree in the relevant discipline or equivalent, and five years relevant professional work experience, or
the relevant University of Sydney Graduate Diploma in Engineering or Graduate Certificate in Engineering with a credit average (65 percent).
Develop specialised technical knowledge in software engineering, covering all aspects of software production from strategy and design to coding, quality and management.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree in the relevant discipline with a credit average (65 percent) or equivalent qualification, or
an Australian Bachelor of Engineering degree in the relevant discipline or equivalent, and five years relevant professional work experience, or
the relevant University of Sydney Graduate Diploma in Engineering or Graduate Certificate in Engineering with a credit average (65 percent).
Develop specialised technical knowledge in chemical and biomolecular engineering to help you transition to an engineering career. You'll gain an advanced understanding of industrial processes in which material in bulk undergoes physical or chemical changes.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree with a 65 percent average, or equivalent qualification or
an Australian bachelor's degree in a non-Engineering discipline with a 65 percent average, with studies equivalent to 48 credit points (equivalent to 1 year full time study load) in mathematics, physics, chemistry, biology, geology, computing or statistics, as related to the stream sought for admission.
Develop specialised technical knowledge in intelligent information engineering to transition to an engineering career. You'll gain a detailed understanding of technologies such as machine learning and artificial intelligence, video and speech recognition, multimedia and sensory signal processing.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree with a 65 percent average, or equivalent qualification or
an Australian bachelor's degree in a non-Engineering discipline with a 65 percent average, with studies equivalent to 48 credit points (equivalent to 1 year full time study load) in mathematics, physics, chemistry, biology, geology, computing or statistics, as related to the stream sought for admission.
You will develop the analytical and technical skills to use data science to guide strategic decision making. Explore data mining, machine learning and data visualisation, and develop the skills to communicate data insights to key stakeholders effectively.
Entry Requirements
To be eligible for admission, an applicant is required to have:
a three year Australian bachelor's degree in a cognate discipline that demonstrates a background in computer programming and statistics with a minimum credit average (65 percent), or
the University of Sydney Graduate Diploma in Data Science with a minimum credit average (65 percent), or a qualification deemed to be equivalent; or
completed 24 credit points of the University of Sydney Graduate Diploma in Data Science or Graduate Certificate in Data Science with a minimum credit average (65 percent). The 24 credit points must include 12 credit points of Data Science Core units and 12 credit points of Data Science specialist elective units.
If you have the equivalent of an Australian AQF Level 8 degree or above in a cognate discipline, you may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 0.5 years/1 semester.
This accelerated version of our Master of Professional Engineering (Electrical) degree is designed to provide you with deep technical skills in your chosen field of engineering combined with professional development in the areas of communication, leadership, and time and resource management.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree with a 65 percent average, or equivalent qualification, in a related field of engineering to which the student is applying.
Develop specialised technical knowledge in civil engineering to help you transition to an engineering career. You'll gain an advanced understanding of planning, designing and testing structures within the built environment.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree with a 65 percent average, or equivalent qualification or
an Australian bachelor's degree in a non-Engineering discipline with a 65 percent average, with studies equivalent to 48 credit points (equivalent to 1 year full time study load) in mathematics, physics, chemistry, biology, geology, computing or statistics, as related to the stream sought for admission.
Develop specialised technical knowledge in structural engineering, gaining an understanding of how structures and buildings resist and transfer natural and other forces to the ground.
Entry Requirements
To be eligible for admission, an applicant is required to have:
an Australian Bachelor of Engineering degree in the relevant discipline with a credit average (65 percent) or equivalent qualification, or
an Australian Bachelor of Engineering degree in the relevant discipline or equivalent, and five years relevant professional work experience, or
the relevant University of Sydney Graduate Diploma in Engineering or Graduate Certificate in Engineering with a credit average (65 percent).
In our increasingly technological world the study of mathematics is vital to future developments and discoveries. A foundation in this area will enable you to apply logic and quantitative reasoning to a vast array of situations, changing the way you think about your surroundings and how things work.
Entry Requirements
Admission to this course requires:
a bachelor's degree, or an equivalent qualification, including completion of at least 24 credit points of mathematical sciences units at 3000-level with at least a distinction average.
