Bachelor of Science (Advanced Mathematics)(Honours)/Science (Computer Science)

5 Years On Campus Bachelors Program

University of New South Wales

Program Overview

The Bachelor of Science (Advanced Mathematics) (Honours) / Science (Computer Science) at UNSW Sydney is a five-year double degree that combines advanced mathematics with modern computer science. It is designed for students who enjoy analytical thinking, programming and complex problem-solving, and want to build expertise in areas such as artificial intelligence, data science, algorithms and quantitative technology.

Curriculum structure

Year 1
In your first year, you build strong foundations in mathematics, computing and programming. Subjects such as Higher Mathematics 1A, Higher Mathematics 1B and introductory computer science courses help you develop logical thinking, coding skills and mathematical problem-solving abilities.

Year 2
In second year, you deepen your understanding of advanced mathematics and core computer science concepts. Students study subjects such as Discrete Mathematics, Linear Algebra and programming-focused courses that strengthen computational thinking and algorithmic problem-solving.

Year 3
In third year, learning becomes more specialised through advanced mathematics and computer science studies. You develop skills in statistics, modelling, algorithms, software systems and data analysis, preparing for complex technical and analytical work.

Year 4
Fourth year focuses on advanced applications and honours-level learning. Students may explore machine learning, data-driven modelling and advanced computational methods while working on research and project-based tasks that combine mathematics and computing.

Year 5
In the final year, students complete honours-level projects, advanced electives and independent research. This stage develops high-level analytical, technical and research skills, preparing graduates for careers in technology, quantitative analysis, artificial intelligence and scientific computing.

Focus areas (in a string):

Advanced mathematics, computer science, algorithms, data science, artificial intelligence, statistics, machine learning, software systems, computational modelling, programming, quantitative analysis, scientific computing

Learning outcomes (in a string):

Apply advanced mathematical and computational methods, design and analyse algorithms, develop software and programming solutions, solve complex quantitative problems, analyse large data sets, conduct independent research, communicate technical information effectively, apply analytical thinking to real-world challenges

Professional alignment (accreditation):

The Computer Science component develops strong industry-relevant technical and computational skills aligned with modern technology and data-driven industries, while the honours component supports advanced research and analytical capability.

Reputation (employability rankings):

UNSW Sydney is recognised globally for excellence in Mathematics, Computer Science and Technology-related disciplines and is well known for strong graduate employability, research excellence and industry engagement.

Experiential Learning (Research, Projects, Internships etc.)

At the University of New South Wales (UNSW), students pursuing the Bachelor of Science (Advanced Mathematics)(Honours)/Science (Computer Science) program 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 in today’s job market. With access to state-of-the-art facilities and cutting-edge tools, students can engage in real-world problem-solving and collaborative projects that prepare them for their future careers.

Here are some key aspects of the experiential learning opportunities available in this program:

- Dedicated Laboratories: Students have access to specialized labs for mathematics and computer science, including the UNSW Data Science Hub, where they can work on data analysis and machine learning projects.

- Software and Tools: The program utilizes industry-standard software such as MATLAB, Python, R, and various statistical analysis tools, allowing students to gain proficiency in essential programming and analytical skills.

- Group Projects: Collaborative projects are a core component of the curriculum, encouraging teamwork and communication skills as students tackle complex problems together.

- Internships and Industry Partnerships: UNSW has strong connections with industry leaders, providing students with internship opportunities that offer valuable work experience and networking possibilities.

- Field Trips and Workshops: Students participate in field trips to tech companies and research institutes, gaining insights into the latest industry trends and practices.

- Research Opportunities: The program encourages students to engage in research projects, often in collaboration with faculty members, which can lead to publications and presentations at conferences.

- Access to Libraries and Resources: The UNSW library system offers extensive resources, including access to academic journals, databases, and study spaces tailored for collaborative work.

- Innovation and Entrepreneurship Support: The university provides resources for students interested in entrepreneurship, including workshops and access to the UNSW Founders program, which supports startup initiatives.

These experiential learning opportunities not only enhance your academic experience but also significantly boost your employability upon graduation. If you’re ready to take the next step in your education and career, consider applying to UNSW’s Bachelor of Science (Advanced Mathematics)(Honours)/Science (Computer Science) program.

Progression & Future Opportunities

Graduating with a Bachelor of Science (Advanced Mathematics)(Honours)/Science (Computer Science) from the University of New South Wales (UNSW) opens up a world of opportunities. You’ll be well-prepared for a variety of roles in high-demand fields, such as Data Analyst, Software Engineer, Actuary, and Research Scientist. The skills you acquire will not only make you competitive in the job market but also position you for a successful and fulfilling career:

- University Services: UNSW offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals. The UNSW Careers and Employment team also provides access to job listings and internships tailored to your field of study.

- Employment Stats and Salary Figures: Graduates from this program have an impressive employment rate, with around 90% securing jobs within four months of graduation. The average starting salary for graduates in this field is approximately AUD 70,000, with potential for significant growth as you gain experience.

- University–Industry Partnerships: UNSW has strong connections with leading companies and organizations, such as Google, IBM, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). These partnerships often lead to internship opportunities and collaborative projects that enhance your learning experience.

- Long-term Accreditation Value: The program is accredited by relevant professional bodies, ensuring that your degree meets industry standards and is recognized globally, which can enhance your employability.

- Graduation Outcomes: Graduates from this program are highly sought after, with many going on to work in innovative sectors such as technology, finance, and research, contributing to advancements in their fields.

Further Academic Progression: After completing your degree, you have several options for further studies. You could pursue a Master’s degree in areas such as Data Science, Artificial Intelligence, or Applied Mathematics. Additionally, if you’re interested in research, you might consider enrolling in a PhD program, which can lead to academic positions or advanced roles in industry research and development. This pathway not only deepens your expertise but also enhances your career prospects in a rapidly evolving job market.