Bachelor of Science majoring in Computational Physics

3 Years On Campus Bachelors Program

University of Adelaide

Program Overview

The Bachelor of Science majoring in Computational Physics at the University of Adelaide is designed for students who are passionate about understanding the physical world while using powerful computational tools to solve complex scientific problems. This major blends physics, mathematics and computer science, preparing you to model real-world systems, analyse large datasets and tackle challenges in research, technology and industry.


Curriculum Structure

First Year – Establishing Core Foundations

In your first year, you’ll build strong foundations in both physics and mathematics while developing essential programming skills. You will study core courses such as Physics IA and IB, Mathematics IA (Calculus) and Mathematics IB (Linear Algebra), alongside introductory programming courses that introduce computational thinking and coding techniques used to model physical systems.

Second Year – Expanding Analytical and Computational Skills

Second year deepens your understanding of physical theory and numerical methods. You’ll explore courses such as Electromagnetism, Quantum Mechanics, and Differential Equations II, while advancing your programming and computational modelling skills. At this stage, you begin applying mathematical methods and algorithms to simulate and analyse increasingly complex physical phenomena.

Third Year – Advanced Modelling and High-Level Applications

In your final year, you focus on advanced computational physics applications and research-oriented learning. Courses such as Advanced Quantum Mechanics, Statistical Mechanics, and specialised computational physics electives allow you to apply high-performance computing and numerical analysis techniques to real scientific challenges. You may also undertake project-based learning that connects theory with practical problem-solving.


Focus Areas

Computational modelling, numerical methods, high-performance computing, quantum physics, electromagnetism, statistical mechanics, applied mathematics, scientific programming.

Learning Outcomes

Graduates develop the ability to design and implement computational models of physical systems, apply advanced mathematical methods to scientific problems, analyse and interpret complex datasets, and communicate technical findings effectively in both research and industry contexts.

Professional Alignment (Accreditation)

The physics major is accredited by the Australian Institute of Physics (AIP), enabling graduates to pursue professional membership and recognition within the Australian physics community.

Reputation (Employability & Rankings)

The University of Adelaide is internationally recognised for excellence in science and research, with strong global rankings and a reputation for producing highly employable STEM graduates equipped with advanced analytical and technical capabilities.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Adelaide, the Bachelor of Science majoring in Computational Physics is designed to make sure you don’t just learn theory — you actually practise it in real scientific environments. From your first year, you’ll be working in dedicated computer laboratories using industry-relevant programming languages such as Python and MATLAB, applying numerical methods to simulate physical systems and analyse data the way professional physicists do. As you move into senior years, you’ll take on more complex modelling tasks, research-driven projects and potentially industry placements that help you build both technical confidence and professional experience before graduation.

What makes this practical experience especially valuable is the direct access you’ll have to specialised facilities and research environments across the University:

  • Dedicated high-performance computing facilities, where you’ll run simulations, test algorithms and work with advanced computational tools used in modern scientific research.

  • Specialist computer laboratories and software environments supporting scientific programming, data analysis, modelling and numerical computation.

  • Collaborative group projects and coding assignments embedded in coursework, helping you develop teamwork, communication and real-world problem-solving skills.

  • Final-year research or industry project opportunities, allowing you to apply computational physics methods to real scientific or applied challenges.

  • Access to research infrastructure within the School of Physics, Chemistry and Earth Sciences, including advanced laboratories that support cutting-edge physics research.

  • Full use of the University’s libraries and digital learning resources, giving you access to scientific journals, computational tools and technical databases essential for research and project work.

Progression & Future Opportunities

Graduating with a Bachelor of Science majoring in Computational Physics from the University of Adelaide positions you for a wide range of exciting career paths because you’ll have deep analytical skills, advanced computational expertise and the confidence to apply them in real-world settings. Many graduates move into roles such as data scientist, high performance computing specialist, software engineer or climate modeller — careers that are in demand across technology, research, science and engineering sectors. With these versatile skills, you can shape impactful work in areas like space science, environmental systems, defence, and advanced simulation industries:

  • Career support services: The University’s Careers and Employability team offers personalised guidance from your first year through to graduation, including drop-in consultations, workshops, job boards, interview preparation and employer networking opportunities to strengthen your professional readiness. You’ll also have access to AU CareerHub — a centralised platform to find part-time work, internships and graduate positions.

  • Employment stats & salary figures: Graduates from Adelaide University’s STEM disciplines enjoy strong employability rates, with overall international graduate employment within six months typically high among science graduates; STEM fields often report starting salaries competitive within Australian labour markets (many STEM grads can expect salaries in line with other technical professions).

  • University–industry partnerships: The University’s location in South Australia’s innovation hub links you to industry partners including leading research and technology organisations, providing opportunities for internships, projects and networking with employers in sectors such as space science, climate modelling, defence and computational consulting.

  • Long-term accreditation value: Your degree is accredited by the Australian Institute of Physics, offering professional recognition that enhances credibility with employers and supports membership pathways into professional physics communities.

  • Graduation outcomes: Graduates are highly versatile — many enter roles focused on data, algorithms, simulation and systems analysis, while others pursue further specialised research or advanced technical careers in organisations such as national space agencies, environmental institutions or technology firms.

Further Academic Progression:
You can continue your studies after this degree by pursuing honours or postgraduate options such as a Bachelor of Science (Honours) in Computational Physics, a research-intensive Masters or a PhD. These pathways deepen your expertise, open doors in high-level research and innovation, and prepare you for specialist positions in academia, government research institutions or advanced technical roles across industries. 

Program Key Stats

$53,300
$9,537
$ 150

Febr Intake : 1st NovJuly Intake : 30th Apr


No
Yes

Eligibility Criteria

CCD
3.0
25
70

1100
21
6.5
79
70

Additional Information & Requirements

Country Requirements

Career Options

  • Computational Physicist
  • Data Scientist
  • Scientific Programmer
  • Research Assistant/Research Scientist
  • Machine Learning Analyst
  • Defence or Space Technology Analyst
  • Quantitative Analyst (Quant)
  • Energy Systems Modeller
  • Software Developer (STEM-focused)
  • Postgraduate Researcher (Honours/PhD Pathway)

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