Step into one of the most exciting and dynamic industries with a dual degree that integrates 50% of modules from Deakin University’s Bachelor of Computer Science and 50% from Lancaster University’s BSc Hons Computer Science. You’ll explore the theory and practice of innovative and experimental computer science so you can confidently solve complex contemporary industry challenges into the future.
Gain hands-on experience and cutting-edge knowledge that puts you ahead of the pack. From data analytics to robotics to intelligence, this program is broad but rigorous and will set you up for success and a computing professional in the real world of not just today, but of tomorrow.
(for more information check our entry requirements).
Overall score of 6.0 (no band less than 5.5)
50 (no skill less than 42)
78 overall, minimum of 17 in listening, 18 in reading, 17 in speaking and 20 in writing
Students must pass each module at least 50% and obtain an overall grade of at least 65% to progress to the dual undergraduate degrees
SMA 3 – Completion with minimum grade 7.5 in 4 academic subjects (must include relevant subjects such as Maths min. 8.0)
International Baccalaureate – IB Diploma with a minimum score of 25 in 6 subjects
A level – minimum of 7 points across 3 academic subjects and GCSE – Mathematics grade B or 6 (Applicants with a GCSE Maths grade 5 considered on a case-by-case basis), English Language grade C or 4
Deakin College Jakarta – Completion of Deakin College Jakarta Foundation and Diploma programs.
UNSW Foundation – Completion of UNSW Foundation programs with a minimum program weighted average of 65% and English Grade of B or higher.
| Code | Module |
|---|---|
| DAI001 | Academic Integrity and Respect |
| SCC.111 | Software Development |
| SCC.121 | Fundamentals of Computer Science |
| SCC.131 | Digital Systems |
| SCC.141B | Professionalism in Practice |
| SIT.182 | Real World Practices for Cyber Security |
| SIT.192 | Discrete Maths |
| SIT.232 | Object-Orientated Development |
| Code | Module |
|---|---|
| SCC.211 | Software Design |
| SCC.221 | Data Engineering |
| SCC.231 | Networks and Systems |
| SCC.241 | Human-Computer Interaction |
| SIT221 | Data structures and Algorithms |
| SIT112 | Introduction to Data Science and Artificial Intelligence |
| SIT.202 | Computer Networks and Communication |
| SIT.292 | Linear Algebra for Data Analysis |
| SIT223 | Professional Practice in Information Technology |
| SIT374 | Team Project – Project Management and Practices (Capstone Module) |
| Code | Module |
|---|---|
| SCC.300 | Individual Project |
| SCC.313 | Computer Graphics |
| SCC.323 | Deep Learning |
| SCC.321 | Languages and Compilations |
| SIT378 | Team Project – Execution and Delivery (Capstone Module) |
| SIT320 | Advanced Algorithms |
| MIS362 | Social Media Analytics and Data Driven Innovation |
| SIT215 | Computational Intelligence |
| SIT306 | Industry Placements and Industry Experience |
The Provisional Program Handbook provides important information about your program of study. Information about each of the degrees including program and module learning outcomes, work and study commitments, career opportunities, the program structure and completion rules, class attendance and participation expectations, and an overview of work placement as part of your degree.
DLI Provisional Program and Module Handbook 2025-26 – Computer Science
Computer science is a part of every aspect of modern life and as such the opportunities open to graduates are almost endless. You may choose to work anywhere from a tech start up to a major international technology company like Google or Microsoft, and everything in between.
Whichever path you take, you’ll graduate highly sought-after by employers across all industries. With a future-proofed expertise in all aspects of programming and software design skills, you’ll graduate with a knowledge of the social, ethical and professional issues related to the discipline, as well as highly desirable project management skills.
Careers in this exciting field include:
