University of Newcastle, Australia
5 years full-time, up to 12 years part-time
This combined degree pairs computer systems engineering with advanced mathematics to create versatile technology professionals. Ideal for students seeking expertise in hardware, software, and mathematical foundations for careers in emerging technologies like AI, IoT, and data analytics.
Applicants must have completed a senior secondary school qualification equivalent to the Higher School Certificate (HSC). For international students, English proficiency is required with a minimum IELTS overall score of 6.0 and section minimum of 6.0. Students should have strong foundational knowledge in mathematics and physics. Selection rank of 77.00 applies for domestic students at Newcastle campus.
Core engineering courses include Introduction to Electrical Engineering, Digital and Computer Electronics, Electrical and Electronic Circuits, Embedded Computing, Analog Electronics, Telecommunication Networks, Digital Communication, Programmable Logic Design, and Internet of Things. Mathematics courses encompass Mathematics for Engineering and Science, Mathematical Modeling, Calculus, Complex Analysis, Linear Algebra, Advanced Physics, and Statistics. Additional specialization options include Data Security, Machine Intelligence, Data Engineering and Mining, Cyber Security Governance, Signal Processing, and Medical/Industrial Electronic Product Design. Students also complete a Final Year Engineering Project and undertake 12 weeks of industry work-integrated learning.
The University of Newcastle is ranked 2nd in Australia and 18th globally for Automation and Control. The program is accredited by Engineers Australia, enabling graduates to join as graduate members upon completion. The university offers career-ready placements with 12 weeks of mandatory industrial experience, strong industry partnerships through ResTech, and a proven track record with 94.9% employment within four months of graduation. The combined degree structure provides unique flexibility to develop both engineering and mathematical expertise.
Graduates pursue diverse careers as Data Mining Analysts, Computer Systems Engineers, Systems Engineers, Network Engineers, Solutions Architects, Information Technology Managers, and Information and Communications Technologists. Career opportunities span communications, international finance, energy sectors, medical and health research, and technology innovation. Roles range from hands-on fieldwork and design/development to leadership positions managing people and projects. The strong mathematical foundation opens additional pathways in data science, artificial intelligence, and quantitative analysis.
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