Advanced Mathematics (Honours) / Engineering (Honours) (Electrical Engineering)

6 Years On Campus Bachelors Program

University of New South Wales

Program Overview

The Advanced Mathematics (Honours) / Engineering (Honours) (Electrical Engineering) at the University of New South Wales (UNSW) is a rigorous six-year dual degree designed for high-achieving students who are passionate about mathematics, technology, and innovation. Combining advanced mathematical theory with professional electrical engineering training, this program develops graduates who can solve complex technical challenges, drive technological advancements, and contribute to cutting-edge research across engineering, science, finance, and technology industries.

Curriculum Structure:

Year 1 – Foundations in Mathematics and Engineering
Students establish a strong foundation in mathematics, physics, programming, and engineering principles. Core courses such as Mathematics 1A, Physics 1, Engineering Mechanics, and introductory engineering design subjects develop analytical thinking, problem-solving skills, and technical knowledge essential for advanced study.

Year 2 – Core Mathematical and Electrical Engineering Principles
The curriculum advances into subjects such as Mathematics 2A, Electrical Circuits, Signals and Systems, and computational methods. Students strengthen their mathematical reasoning while developing an understanding of electrical systems, circuit analysis, and engineering applications.

Year 3 – Advanced Mathematics and Engineering Applications
Students explore higher-level mathematics through courses such as Mathematics 3A, numerical methods, and applied mathematics. Engineering studies include Electromagnetic Fields, Control Systems, Electronics, and communication systems, allowing students to apply mathematical models to real-world engineering problems.

Year 4 – Specialised Electrical Engineering and Mathematical Modelling
The focus shifts to advanced engineering topics including Power Systems, Communication Engineering, Digital Systems, and Embedded Technologies. Simultaneously, students undertake honours-level mathematics courses that develop expertise in mathematical modelling, optimization, and analytical techniques.

Year 5 – Research, Innovation, and Technical Specialisation
Students engage in advanced coursework and research activities across both disciplines. Topics may include Digital Signal Processing, Machine Learning Applications, Advanced Control Systems, Applied Statistics, and mathematical analysis. Research projects encourage innovation and interdisciplinary problem-solving.

Year 6 – Honours Research and Professional Practice
The final year centers on a substantial honours research project that integrates advanced mathematical methods with electrical engineering applications. Students complete specialized electives and undertake independent research under academic supervision, preparing them for professional practice, research careers, or further postgraduate study.

Focus Areas:

Advanced Mathematics
Electrical Engineering
Mathematical Modelling and Analysis
Signal Processing
Control Systems
Power and Energy Systems
Applied Research and Innovation

Learning Outcomes:
Graduates will develop:

Advanced mathematical and analytical capabilities
Expertise in electrical engineering systems and technologies
Strong research and investigative skills
The ability to apply mathematical techniques to engineering challenges
Critical thinking and complex problem-solving abilities
Project management and technical communication skills
Independent research and innovation capabilities

Professional Alignment (Accreditation):
The Engineering (Honours) component is accredited by Engineers Australia, ensuring graduates meet internationally recognized professional engineering standards and are prepared for engineering practice both in Australia and globally.

Reputation (Employability Rankings):
UNSW is internationally recognized for excellence in mathematics, engineering, and technology education. Consistently ranked among the world's leading universities for engineering, mathematics, and graduate employability, UNSW provides students with access to world-class research facilities, industry partnerships, and innovation opportunities that support exceptional career outcomes across a range of technical and research-intensive industries.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New South Wales (UNSW), students in the Advanced Mathematics (Honours) and Engineering (Honours) (Electrical Engineering) programs are immersed in a rich environment that emphasizes experiential learning. This hands-on approach not only enhances theoretical knowledge but also equips students with practical skills that are essential for their future careers. With state-of-the-art facilities and cutting-edge tools, students have the opportunity to engage in real-world projects, collaborate with peers, and gain invaluable experience that sets them apart in the job market.

Here are some key aspects of the experiential learning opportunities available in these programs:

- Laboratories and Research Facilities: Access to specialized labs such as the Electrical Engineering laboratories, which are equipped with advanced technology for circuit design, signal processing, and telecommunications.

- Software and Digital Tools: Students utilize industry-standard software like MATLAB, Simulink, and AutoCAD, which are essential for modeling, simulation, and design in engineering projects.

- Group Projects: Collaborative projects are a core component of the curriculum, allowing students to work in teams to solve complex engineering problems, fostering teamwork and communication skills.

- Internships and Industry Partnerships: UNSW has strong connections with leading companies, providing students with internship opportunities that offer real-world experience and networking possibilities.

- Field Trips and Industry Visits: Students often participate in field trips to local industries and engineering firms, gaining insights into the practical applications of their studies.

- Research Institutes: The university hosts several research institutes, such as the UNSW Institute of Electrical Engineering, where students can engage in cutting-edge research alongside faculty members.

- Libraries and Learning Resources: The UNSW library system offers extensive resources, including access to engineering journals, databases, and study spaces designed to support collaborative learning.

Progression & Future Opportunities

Graduates of the Advanced Mathematics (Honours) / Engineering (Honours) (Electrical Engineering) program from UNSW possess a rare combination of advanced mathematical expertise and professional engineering skills. This highly analytical and research-focused qualification prepares graduates to solve complex technical problems, develop innovative technologies, and contribute to cutting-edge advancements across engineering, finance, data science, research, and technology sectors. The combination of rigorous mathematical training and electrical engineering knowledge creates exceptional career flexibility and strong long-term employability.

Typical career pathways include: Electrical Engineer, Power Systems Engineer, Telecommunications Engineer, Control Systems Engineer, Signal Processing Engineer, Quantitative Analyst, Data Scientist, Research Engineer, Systems Engineer, Machine Learning Engineer, and Technology Consultant.

This strong career outlook is supported by UNSW's world-class reputation and industry engagement:

UNSW Careers and Employability provides students with career coaching, resume and interview support, networking opportunities, mentoring programs, internship assistance, and graduate recruitment services.
Graduates are highly sought after across industries including renewable energy, telecommunications, advanced manufacturing, defence, aerospace, finance, data analytics, artificial intelligence, consulting, and technology.
Median starting salaries for engineering graduates in Australia typically range from AUD $75,000–$85,000+, while graduates with advanced mathematical expertise often access additional opportunities in quantitative finance, analytics, machine learning, and research-intensive industries with strong earning potential.
UNSW maintains strong partnerships with leading engineering firms, technology companies, financial institutions, government agencies, and research organizations, providing valuable internship, networking, and employment opportunities.
Accreditation by Engineers Australia ensures graduates meet internationally recognized engineering standards and supports professional engineering registration pathways globally.
The Advanced Mathematics (Honours) component develops exceptional analytical, modelling, computational, and research skills that are highly valued across technical and quantitative professions.
Graduates develop expertise in mathematical modelling, optimization, signal processing, data analysis, computational methods, systems engineering, and advanced problem-solving.
UNSW consistently ranks among Australia's leading universities for graduate employability and is internationally recognized for excellence in engineering, mathematics, research, and innovation.

Further Academic Progression:

After completing this six-year dual degree, graduates may pursue advanced postgraduate study through a Master of Engineering, Master of Engineering Science, Master of Data Science, Master of Artificial Intelligence, Master of Statistics, Master of Quantitative Finance, Master of Information Technology, or Master of Renewable Energy. Students interested in research can continue into a Master of Philosophy (MPhil) or Doctor of Philosophy (PhD) in electrical engineering, applied mathematics, telecommunications, signal processing, machine learning, optimization, energy systems, or related disciplines. These pathways can lead to careers in academia, research leadership, advanced technology development, quantitative finance, innovation management, and executive leadership across highly technical industries.