Bachelor of Computational Technology (Computational Physics)

3 Years On Campus Bachelors Program

University of Wollongong

Program Overview

The Bachelor of Computational Technology (Computational Physics) at the University of Wollongong is designed for students who want to combine the power of advanced computing with the principles of physics to solve complex real-world problems. This program equips you with strong foundations in programming, numerical methods and scientific modelling, preparing you to apply computational tools to areas such as simulation, data analysis and high-performance computing.

Curriculum Structure

First Year:
In your first year, you establish a solid base in computing and mathematics while beginning your physics journey. Core subjects such as CSCI114 – Programming Fundamentals, CSCI151 – Introduction to Computer Systems, and MATH121 – Mathematics for Computing develop your coding ability, logical thinking and quantitative skills. At the same time, introductory physics units help you understand the scientific principles that computational tools will later model and analyse.

Second Year:
The second year deepens your technical expertise and connects computing directly with scientific applications. Through units like CSCI203 – Algorithms and Data Structures, CSCI235 – Database Systems, and intermediate physics subjects, you learn how to design efficient algorithms, manage complex data, and apply computational techniques to model physical systems. This is where theory begins to translate into practical problem-solving.

Third Year:
Your final year focuses on advanced computational physics applications and independent problem-solving. Subjects such as CSCI319 – Software Engineering Practice and advanced physics electives are complemented by a capstone project, where you integrate programming, numerical modelling and physics concepts to tackle a substantial real-world challenge. By graduation, you will have demonstrated the ability to design, implement and evaluate complex computational solutions.

Focus Areas (in a string)

Computational modelling, numerical methods, scientific simulation, algorithm design, data systems, software engineering, physics applications.

Learning Outcomes (in a string)

Design and implement computational solutions to scientific problems, apply physics principles through numerical modelling, analyse and interpret complex datasets, develop efficient algorithms and software systems, communicate technical findings professionally.

Professional Alignment (Accreditation)

The Bachelor of Computational Technology aligns with industry expectations in computing and STEM fields, building skills relevant to technology, research and data-driven industries. The University of Wollongong’s computing programs are developed in consultation with industry to ensure graduates are workforce-ready.

Reputation (Employability Rankings)

The University of Wollongong is consistently ranked among the world’s leading universities for graduate employability and global outlook, reflecting its strong industry connections and practical learning focus.

Experiential Learning (Research, Projects, Internships etc.)

When you study this degree at the University of Wollongong, you gain hands-on experience with real computing tools and environments that tech employers value. Beyond lectures and tutorials, you’ll use well-equipped computer labs and digital systems that support programming, simulation and data analysis, and you’ll be encouraged to work collaboratively on projects that reflect industry practices. The School of Computing and Information Technology focuses on teaching the latest technologies and encouraging multidisciplinary collaboration so you can apply classroom knowledge to real problems throughout your studies.

In practice, this means you’ll engage with all of the following opportunities:

Access dedicated student computer labs with specialist software for coursework and project work, available when not scheduled for tutorials.
Work with modern computing environments and tools used in programming, simulation and data processing as part of your core subjects and assessments.
Experience collaborative learning through group assignments and software development tasks that mirror workplace practices.
Engage with research initiatives and multidisciplinary projects across computing and physics, supported by UOW’s faculty and research groups in areas such as AI and applied systems.
Benefit from links to high-performance computing resources that support modelling and simulation work for advanced computational projects (for eligible students).

Progression & Future Opportunities

Graduates of the Bachelor of Computational Technology (Computational Physics) from the University of Wollongong go on to exciting careers where strong analytical, computing and scientific skills are in demand. Many find roles in software and data-driven industries, research teams and technology sectors with titles such as Software Developer, Data Analyst, Computational Scientist or Quantitative Analyst — often working with cutting-edge tools and teams that shape real-world solutions. The degree’s mix of computing and physics gives you flexibility to work across tech, research, science and engineering fields:

Career services & support: UOW’s Careers Central team helps you prepare for the job market with personalised career advice, resume and interview support, access to thousands of job listings and networking events with employers from industry sectors. Graduates also benefit from work-integrated learning opportunities, industry placements and employability workshops tailored to STEM students.
Employment stats & salary figures: According to graduate outcome data, a high proportion of UOW undergraduates secure employment or further study soon after graduating, with many working full-time within months; median starting salaries for UOW degree holders are competitive in Australia, growing with experience over time.
University–industry partnerships: UOW has strong links with global and local industry partners — including major tech, consulting and engineering firms — supporting internships, projects and potential employment pathways during and after your degree.
Long-term accreditation value: Completing a STEM degree from UOW gives you recognised academic credentials valued by employers in Australia and internationally, and supports eligibility for professional and skilled migration pathways for international students in tech and science fields.
Graduation outcomes: Many graduates move into roles involving programming, modelling, data analysis and problem-solving across industries such as IT, finance, engineering and scientific research — often with opportunities for progression into specialist or leadership positions.