Bachelor of Software Engineering (Honours)

2022 Deakin University Handbook

Note: You are seeing the 2022 view of this course information. These details may no longer be current. [Go to the current version]

Year	2022 course information
Award granted	Bachelor of Software Engineering (Honours)
Course Map	This course map is for new students commencing from Trimester 1 2022. This course map is for new students commencing from Trimester 2 2022. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.
Campus	Offered at Burwood (Melbourne)
Cloud Campus	Yes
Duration	4 years full-time or part-time equivalent
CRICOS course code	092212D Burwood (Melbourne)
Deakin course code	S464
Approval status	This course is approved by the University under the Higher Education Standards Framework.
Australian Qualifications Framework (AQF) recognition	The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8.

Course sub-headings

Course overview

Create the smart software and systems of the future by studying Deakin’s Bachelor of Software Engineering (Honours). This course arms you with the skills needed to build disruptive technologies that create change, making you a sought-after expert ready to solve tomorrow’s business problems through creative computing solutions. Explore a broad range of exciting study areas, including robotics, algorithms, programming and software architecture, and apply your skills in world-class facilities.

You will have access to Deakin’s $1.2 million Robotics and Internet of Things (RIoT) Lab, where you will acquire specialist skills in robotics, cyber-physical systems and the Internet of Things. Gain practical experience and learn how to work successfully in a team with project-based learning activities and contribute to real-world projects alongside professional engineers during 450 hours of industry placement.

Want to be at the forefront of robotics, computing and smart technologies?

Rapid advancement in sensing hardware, computers and smart devices has created a growing demand for software engineers who can develop complex software systems for the modern world. From Mars rovers to smart homes and cities, robotic surgery and precision agriculture, software engineers combine software systems and embedded hardware to create solutions for the future that fill a vital role in the development of smart and innovative technologies. Deakin’s Bachelor of Software Engineering (Honours) prepares you to take advantage of this demand. You will develop specialised skills in robotics, cyber-physical systems and the Internet-of-Things (IoT), all while getting hands-on with the latest software engineering tools that allow you to push beyond the limitations of traditional technologies.

Your ideas and creativity will flourish in our state-of-the-art facilities. You will have a range of devices, robotics and drones on hand in our RIoT Lab. You will work alongside hardware designers and app developers to drive the development of computing solutions that interact with people, environments and other technologies.

The Applied Artificial Intelligence Institute (A²I²⁾ provides innovative products, technologies and solutions for industry across all sectors. As a software engineering student, you will have the opportunity to interact and work with professional software engineers and data scientists on campus as part of your degree.

Through practical experience in the RIoT Lab, a strong focus on project-based learning at A²I² and exciting internship opportunities, you will benefit from constant exposure to real-world software engineering situations. So, whether your dream role involves developing drones, creating smart devices or pioneering AI innovations, you will graduate with the industry skills needed to thrive.

Indicative student workload

You can expect to participate in a range of teaching activities each week. This could include classes, 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.

Professional recognition

This course has been designed in accordance to Engineers Australia’s and the Australian Computer Society’s professional accreditation requirements. Deakin has been awarded accreditation for the Bachelor of Software Engineering (Honours) with the Australian Computer Society (ACS). Deakin's Bachelor of Software Engineering (Honours) is also accredited by Engineers Australia.

Career opportunities

Graduates will be equipped to find employment in diverse areas of software engineering. You’ll be able to develop and implement state-of-the-art smart devices, systems and applications for industries including transport, health, agriculture and manufacturing.

You may pursue a career as a software engineer, software developer, programmer, embedded systems developer, robotics programmer or systems architect. Software engineers also work in specialist research roles; with experience, your career can move into project management and business development, in roles such as CIO and CTO, from start-ups to multinational corporations.

Participation requirements

In order to satisfy course accreditation requirements, as specified and administered by Engineers Australia, all Cloud Campus enrolled students are required to participate in Campus learning activities equivalent to a minimum duration of one full academic week for every trimester of effective full time study in order to ensure that graduates possess and have demonstrated the minimum necessary knowledge and skill base, engineering application abilities, and professional skills, values and attitudes at successful completion of the course to be sufficiently prepared to enter professional engineering practice.

Cloud Campus enrolled students are required to attend campus mode conducted activities during the corresponding Intensive Week in a trimester. Attendance at campus mode activities is linked to assessment requirements within the Engineering programmes, failure to attend will result in not meeting the hurdle requirement of the respective assessment. Thus, a fail grade shall be awarded for the respective affected unit(s) for that particular trimester.

International students: Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin’s Cloud Campus. To participate in the mandatory campus based scheduled sessions during the trimester intensive week, it is suggested that you apply for a tourist visa to enter Australia. Please be advised that Deakin University cannot guarantee that you will be granted a tourist visa by the Australian Government.

International students studying through the Cloud Campus may not be granted a visitor visa to complete mandatory onsite components of the course.

Placement can occur at any time, including during the standard holiday breaks listed here: https://www.deakin.edu.au/courses/key-dates.

Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

Reasonable adjustments to participation and other course requirements will be made for students with a disability. Click here for more information.

Mandatory student checks

Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.

Course expenses

Student Equipment Purchases

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. Access to high cost specialist equipment, such as robots, is provided. 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.

Fees and charges

Fees and charges vary depending on your course, the type of fee place you hold, your commencement year, the units you choose and your study load. To find out about the fees and charges that apply to you, visit the Current students fees website or our handy Fee estimator to help estimate your tuition fees.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as photocopying or travel.

Course Learning Outcomes

Deakin Graduate Learning Outcomes	Course Learning Outcomes
Discipline-specific knowledge and capabilities	Develop a broad, coherent knowledge of the software engineering discipline, with detailed knowledge of the application of software engineering principles and approaches. Use knowledge, skills, tools and methodologies for professional software engineering practice. Design software components, systems and computing processes to meet application requirements, within realistic economic, environmental, social, political, legal and ethical constraints.
Communication	Communicate in a professional context to inform, motivate and effect change, and to drive sustainable innovation, 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 information and evidence, applying critical and analytical thinking and reasoning, technical skills, personal judgement and values, in decision processes.
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 software engineering 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.

Approved by Faculty Board 27 June 2019

Course rules

To complete the Bachelor of Software Engineering (Honours), students must attain 32 credit points, which must include the following:

Twenty-six (26) core units (28 credit points)
and one of:
- A minor (4 credit points), or
- 4 elective units (4 credit points)
Completion of STP050 Academic Integrity (0-credit point compulsory unit)
Completion of SIT010 Safety Induction Program (0-credit point compulsory unit)
Completion of STP010 Career Tools for Employability (0-credit point compulsory unit)
A maximum of 10 credit points at Level 1

Students are required to meet the University's academic progress and conduct requirements. Click here for more information.

Minor sequences

Refer to the details of each minor sequence for availability.

Course structure

Core

Year 1 - Trimester 1

STP050

Academic Integrity (0 credit points)

SIT010

Safety Induction Program (0 credit point unit)

STP010

Career Tools for Employability (0 credit point unit)

SIT102

Introduction to Programming

SIT111

Computer Systems

SEJ104

Engineering in Society

SIT192

Discrete Mathematics

Year 1 - Trimester 2

SIT123

Data Capture Technologies

SIT217

Robotics Project

SIT232

Object-Oriented Development

SIT103

Data and Information Management

Year 2 - Trimester 1

SIT202

Secure Networking

SIT210

Embedded Systems Development

SIT221

Data Structures and Algorithms

SET111

Sustainable Design

Year 2 - Trimester 2

SIT313

Full Stack Development: Secure Frontend Applications

SIT331

Full Stack Development: Secure Backend Services

SIT223

Professional Practice in Information Technology

SIT315

Concurrent and Distributed Programming

Year 3 - Trimester 1

SIT216

User Centred Design

SIT310

Robotics Application Development

SIT374

Team Project (A) - Project Management and Practices ~

Plus one elective or minor unit (one credit point)

Year 3 - Trimester 2

SIT314

Software Architecture and Scalability for Internet-Of-Things

SIT329

Advanced Embedded Systems

SIT378

Team Project (B) - Execution and Delivery ~

Plus one elective or minor unit (one credit point)

Year 4 - Trimester 1

SIT723

Research Project A (2 credit point unit)

SIT732

Developing Secure Internet of Things Applications

Plus one elective or minor unit (one credit point)

Year 4 - Trimester 2

SIT724

Research Project B (Thesis) (2 credit point unit)

SEL703

Professional Practice ^

Plus one elective or minor unit (one credit point, level 2 or higher)

~ Note: Students are recommended to undertake SIT374 and SIT378 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT374 and SIT378 consecutively.

^ Students are encouraged to complete this unit in Trimester 3 of the third year of study. Must have successfully completed STP010 Career Tools for Employability (0 credit point unit)

Electives

Select from a range of elective units offered across many courses. In some cases you may even be able to choose elective units from a completely different discipline area (subject to meeting unit requirements).

Work experience

Through SEL703 Professional Practice, you’ll gain industry experience by completing at least 30 to 60 days of practical work experience in an engineering workplace with assessment tasks designed to develop and enhance your understanding of the engineering profession, professional practice and continuing professional development, possible career outcomes, and the opportunity to establish valuable professional networks.

Details of minor sequences

Artificial Intelligence

Campuses

Burwood (Melbourne), Cloud (online)

Unit set code

MN-S000013

Overview

Artificial intelligence (AI) is driving digital disruption, with new technologies helping to redefine many industries. Demand for skilled professionals who are knowledgeable in AI practices is increasing globally as innovative businesses look to take advantage of recent advances in AI. This minor sequence provides an introduction to artificial and computational intelligence, data analysis and optimisation and constraint programming.

Units

SIT114

Introduction to Artificial Intelligence

SIT215

Computational Intelligence

SIT292

Linear Algebra for Data Analysis

SIT316

Optimisation and Constraint Programming

Cloud Technologies

Campuses

Burwood (Melbourne), Cloud (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

SIT113

Cloud Computing

SIT325

Advanced Network Security

SIT323

Cloud Application Development

SIT314

Software Architecture and Scalability for Internet-Of-Things

Cyber Security

Campuses

Burwood (Melbourne), Cloud (online)

Unit set code

MN-S000015

Overview

In today's digital world, cyber security threats are a major challenge across many sectors. As cyber-attacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally. This minor sequence provides an insight into cyber security and equips you with skills in secure coding, security management and ethical hacking.

Units

SIT182

Real World Practices for Cyber Security

SIT218

Secure Coding

SIT284

Cyber Security Management

SIT379

Ethical Hacking

Game Design

Campuses

Burwood (Melbourne), Cloud (online)

Unit set code

MN-S000006

Overview

Game design introduces the range of concepts relevant to an aspiring game designer, ranging from the terminology used in professional game design through to aspects of game content design, design of rules and mechanics, and design to support the marketing and distribution of interactive applications.

Units

SIT151

Game Fundamentals

SIT253

Content Creation for Interactive Experiences

SIT254

Game Design

SIT283

Development for Virtual and Augmented Reality *

*SIT283 replaced SIT352 Creative Production from 2022

Virtual and Augmented Reality

Campuses

Burwood (Melbourne), Cloud (online)

Unit set code

MN-S000009

Overview

Virtual and augmented reality technologies are revolutionising business processes, disrupting the way companies work with complex data sets, and enhancing educational and training practices. They contribute to novel therapies and treatments, allow access to opportunities despite physical and geographical restrictions and have redefined the way we represent and interact with digital media whether it be our holiday souvenir snapshots or the latest interactive gaming experience.

Units

SIT183

Interactive Application Design for Virtual and Augmented Reality

SIT283

Development for Virtual and Augmented Reality

SIT253

Content Creation for Interactive Experiences *

SIT383

Assembling Virtual and Augmented Reality Experiences

*SIT253 replaced SIT352 Creative Production from 2022

Data Science

Campuses

Burwood (Melbourne), Cloud (online)

Unit set code

MN-S000014

Overview

Skilled data professionals are in high demand as organisations increasingly rely on skilled specialists to unlock hidden patterns in big data to provide strategic advantage in the competitive business world.???This minor sequence will prepare you with knowledge and technical skills in the areas of data mining, machine learning, deep learning and applied statistics for data analysis.

Units

SIT199

Applied Algebra and Statistics

SIT292

Linear Algebra for Data Analysis

SIT307

Data Mining and Machine Learning

SIT319

Deep Learning

Other course information

Course duration - additional information

Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.

Further information

Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.

Contact Student Central

Other learning experiences

You may apply to undertake a study tour to explore and engage in a structured program of study overseas to gain discipline expertise as well as be challenged to develop your personal qualities and global understanding.

Research and research-related study

The key assessment of research and research skills in the programme is through the two linked 2 credit point units in the final year of the course. The first of these units is for students to develop a detailed research proposal and undertake preliminary proof-of-concept or testing of their experimental methods. The second unit is designed to undertake the proposed research and critically evaluate the outcomes of the project. The project is predominantly student-led with direction from an academic supervisor that has expertise in the research field.