Bachelor of Computer Science

2025 Deakin University Handbook

Year	2025 course information
Award granted	Bachelor of Computer Science
Deakin course code	S306E
Faculty	Faculty of Science, Engineering and Built Environment
Campus	ERC Institute, Singapore
Duration	3 years full-time or part-time equivalent
Course Map - enrolment planning tool	This course map is for new students commencing from Trimester 1 2025 Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7
New course from Trimester 1, 2025. This course is intended for students studying onshore in Singapore, with located learning support provided by ERC Institute. This course is not available to domestic and international students studying online or onshore at campuses in Australia.

Course sub-headings

Course overview

This course equips you with the knowledge and practical skills needed to design and develop innovative software solutions to address multifaceted information and technology problems faced by our community, business and industry. Learn what it takes to create and integrate complex new computing technologies while exploring existing and emerging challenges. You will explore areas such as data analytics, machine learning, robotics, intelligent and autonomous systems, and telecommunications.

Computer scientists are problem solvers and innovators and at Deakin, you will get a competitive edge in the job market. Gain hands-on experience with current technologies and training in fundamental concepts, models and methods.

Want to drive change through technology?

This course provides a combination of experiential learning and practical skills, supported by experienced, industry-connected staff.

You will have opportunities to expand your skills and gain practical experience through a specialised capstone project in collaboration with your peers. These opportunities equip you with the skills to develop solutions to real-world problems and learn agile project management methods, which are widely used across the sector.

Our past students have worked on capstone projects such as:

medical – a mobile app that tracks pupil responses to light
real estate – a mobile app to track your notes about properties you view
transport – planning a bus trip with real-time data
gaming – children’s computer game to build their resilience
architecture – a virtual reality space to assess architecture student projects
security – voice-activated password software
political – a secure online voting system

Deakin’s research-active teaching staff ensure our world-class research programs feed directly into the curriculum, meaning that you will be learning at the cutting edge of industry standards.

Throughout the course you will gain a comprehensive understanding of:

artificial intelligence
machine learning
embedded devices
Internet of Things (IoT)
computer systems and networks
data management and information processes
human computer interaction
programming and software development
mathematical methods
algorithm design and analysis.

Indicative student workload

You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Career opportunities

You’ll be ready for employment in organisations engaged in:

artificial intelligence and machine learning
robotics application development
technology innovation.

You’ll graduate with career options such as:

innovation lead
data scientist
software developer
database specialist
technology consultant
software analyst
solutions architect
project manager.

As a computer science graduate, you will enter one of the most exciting and dynamic industries, with opportunities in areas such as:

cognitive computing and intelligent systems
robotics and autonomous systems
emerging technologies.

As your experience develops, you will also be well prepared to progress into project management positions.

Course location

This program, delivered by Deakin University and ERC Institute is an exciting partnership between two quality institutions. It provides an opportunity for international students to experience the best of Australian teaching and learning practices while based in Singapore. This course is not available to international students studying online or onshore at campuses in Australia.

Equipment requirements

The learning experiences and assessment activities within this course require that students have access to a range of technologies beyond a desktop computer or laptop. Students will be required to purchase minor equipment, such as small single board computers, microcontrollers and sensors, which will be used within a range of units in this course. This equipment is also usable by the student beyond their studies. Equipment requirements and details of suppliers will be provided on a per-unit basis. The indicative cost of this equipment for this course is AUD$500.

For information regarding hardware and software requirements, please refer to the Bring your own device (BYOD) guidelines via the School of Information Technology website in addition to the individual unit outlines in the Handbook.

Course Learning Outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Develop a broad, coherent knowledge of the computer science discipline, with detailed knowledge of the application of computer science methods and principles in modern computing systems. Use knowledge, skills, tools and methodologies for professional computer science practice. Design algorithms, system models, software components, computing systems and processes, to meet application requirements within realistic economic, environmental, social, political, legal and ethical constraints.
Communication	Communicate in a computer science context to inform, motivate and effect change by utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.
Digital literacy	Utilise a range of digital technologies and information sources to discover, analyse, evaluate, select, process and disseminate both technical and non-technical information.
Critical thinking	Evaluate specialist computer science information using critical and analytical thinking, technical skills and well-developed judgement to identify problems, analyse requirements and propose solutions.
Problem solving	Apply theoretical constructs and skills and critical analysis to real-world and ill-defined problems and develop innovative computing solutions.
Self-management	Apply knowledge and skills to new situations in professional practice and/or further learning in the field of computer science with adaptability, autonomy, responsibility and personal accountability for actions as a practitioner and a learner. Apply understanding of reflective practice and self-critique skills within broad parameters to plan for their own future continuing professional development.
Teamwork	Contribute effectively as a skilled and knowledgeable individual to the processes and output of a work unit or team. Work collaboratively in multi-disciplinary teams, employing effective communication, self- and team- management skills to achieve shared goals.
Global citizenship	Apply professional and ethical standards and accountability for own learning to in the development, design, construction and management of localised computing solutions.

Course rules

To complete the Bachelor of Computer Science students must pass 24 credit points and meet the following course rules to be eligible to graduate:

DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in their first study period
SIT010 Safety Induction Program (0-credit-point compulsory unit)
STP010 Career Tools for Employability (0-credit-point compulsory unit)
13 credit points of core units
3 credit points of computer science capstone units
2 minors (8 credit points)
a maximum of 10 credit points at level 1
a minimum of 14 credit points levels 2 and 3
a minimum of 6 credit points at level 3

Students are required to meet the University's academic progress and conduct requirements. See the enrolment codes and terminology to help make sense of the University’s vocabulary.

Minors

Refer to the details of each minor sequence for availability.

Course structure

Core

Year 1 - Trimester 1

DAI001

Academic Integrity and Respect at Deakin (0 credit points)

SIT010

Safety Induction Program (0 credit points)

STP010

Career Tools for Employability (0 credit points)

SIT111

Computer Systems

SIT192

Discrete Mathematics

SIT112

Introduction to Data Science and Artificial Intelligence

SIT102

Introduction to Programming

Year 1 - Trimester 2

SIT232

Object-Oriented Development

SIT292

Linear Algebra for Data Analysis

SIT202

Computer Networks and Communication

Year 1 - Trimester 3

SIT103

Database Fundamentals

Year 2 - Trimester 1

SIT221

Data Structures and Algorithms

SIT215

Computational Intelligence

Plus two (2) minor units (two (2) credit points)

Year 2 - Trimester 2

SIT223

Professional Practice in Information Technology #

SIT320

Advanced Algorithms

Plus two (2) minor units (two (2) credit points)

Year 2 - Trimester 3

One (1) capstone unit (one (1) credit point)

SIT306

IT Placements and Industry Experience ^+

Year 3 - Trimester 1

Three (3) minor units (three (3) credit points)

Plus one (1) capstone unit (one (1) credit point):

SIT374

Team Project (A) - Project Management and Practices ^

Year 3 - Trimester 2

SIT315

Concurrent and Distributed Programming

Plus one (1) minor unit (one (1) credit point)

Plus one (1) capstone unit (one (1) credit point):

SIT378

Team Project (B) - Execution and Delivery ^

^ Offered in Trimester 1, Trimester 2, Trimester 3.
+ Students must have completed STP010 Career Tools for Employability (0-credit point compulsory unit) and SIT223 Professional Practice in IT.
# Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit).

Cloud Technologies

Campuses

Burwood (Melbourne), Online

Unit set code

MN-S000011

Overview

In today’s data-driven digital world, cloud technologies are an area of significant business interest and their adoption and integration into business practices is growing at a rapid pace. This minor focuses on providing you with the knowledge, skills and expertise required to construct solutions using virtualisation, enterprise networks, system security and cloud infrastructure.

Units

SIT233

Cloud Computing

SIT226

Cloud Automation Technologies

SIT323

Cloud Native Application Development

SIT314

Software Architecture and Scalability for Internet-Of-Things

Full Stack Development

Campuses

Burwood (Melbourne), Online

Unit set code

MN-S000012

Overview

Web development is one of the fastest-growing careers in today’s economy, with growing demand for full stack web developers who are proficient in both front-end and back-end web development. Throughout this minor sequence, you will explore responsive web apps, full stack development across frontend applications and backend services, and mobile programming for Android and iOS.

Units

SIT120

Introduction to Responsive Web Apps

SIT331

Full Stack Development: Secure Backend Services

SIT313

Full Stack Development: Secure Frontend Applications

SIT305

Mobile Application Development