Bachelor of Software Engineering (Honours)
2019 Deakin University Handbook
| Year | 2019 course information |
|---|---|
| Award granted | Bachelor of Software Engineering (Honours) |
| Course Map | If you started your course before 2019, please refer to the plan your study page or contact a Student Adviser |
| 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
- Indicative student workload
- Professional recognition
- Career opportunities
- Participation requirements
- Mandatory student checks
- Fees and charges
- Course Learning Outcomes
- Course rules
- Course structure
- Work experience
- Other learning experiences
- Research and research-related study
Course overview
Deakin’s Bachelor of Software Engineering (Honours) is an innovative course focusing on software engineering, cyber-physical systems and robotics applications, producing sought-after graduates who will create the technologies of the future.
The rapid advancement of sensing and computing hardware supporting smart, connected devices is driving growing demand for software engineers who can move beyond traditional technologies such as web and database systems.
As a software engineer you will operate at the junction of software development and systems engineering, applying your specialised robotics and cyber-physical computing skills alongside hardware designers and application developers. You will drive the design and development of computing solutions that operate within and interact with people, environments, and other technologies.
During the course you will extend your skills beyond web and database technologies and desktop software patterns to acquire niche skills in robotics and cyber-physical computing in preparation for careers as innovative software engineers capable of developing the cyber-physical systems of the future.
As a graduate you will be well-equipped to find work developing and implementing state-of-the-art smart systems or frameworks into various existing industries such as health, fitness and travel.
Units in the course may include assessment hurdle requirements.
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
The School of Information Technology is in the process of seeking provisional accreditation with Engineers Australia.Career opportunities
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, your fee category and the year you started. To find out about the fees and charges that apply to you, visit the Current students fees website.
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 7 June 2018
Course rules
To complete the Bachelor of Software Engineering (Honours), students must attain 32 credit points. Most units (think of units as ‘subjects’) are equal to 1 or 2 credit point. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.
The 32 credit points include 22 core units (these are compulsory) and 4 elective units (you can choose which ones to study).
The course comprises a total of 32 credit points, which must include the following:
- 22 core units (28 credit points which includes a compulsory internship unit)
- 4 elective units
- completion of STP050 Academic Integrity (0-credit point compulsory unit)
- completion of SIT010 Safety Induction Program (0-credit point compulsory unit)
- completion of SEJ010 Introduction to Safety and Project Oriented Learning (0-credit point compulsory unit)
- completion of STP010 Introduction to Work Placements (0-credit point compulsory unit)
- A maximum of 10 credit points at Level 1
- A minimum of 22 credit points combined over levels 2, 3 and 4
- A minimum of 6 credit points at level 4
Students are required to meet the University's academic progress and conduct requirements. Click here for more information.
Course structure
Core
Year 1 - Trimester 1
| STP050 | Academic Integrity (0 credit points) |
| SIT010 | Safety Induction Program (0 credit point unit) |
| SEJ010 | Introduction to Safety and Project Oriented Learning (0 credit point unit) |
| SEJ101 | Design Fundamentals (2 credit points) |
| SEB101 | Engineering Physics |
| SIT122 | Robotics Studio |
Year 1 - Trimester 2
| SIT107 | Software Engineering 1: Connecting the Cyber and Physical Worlds (2 credit points) |
| SIT102 | Introduction to Programming |
| SIT103 | Data and Information Management |
Year 2 - Trimester 1
| STP010 | Introduction to Work Placements (0 credit point unit) |
| SIT232 | Object-Oriented Development |
| SIT210 | Embedded Systems Development |
| SIT192 | Discrete Mathematics |
| SIT199 | Applied Algebra and Statistics |
Year 2 - Trimester 2
| SIT209 | Software Engineering 2: Developing Internet-Of-Things Applications (2 credit points) |
| SIT202 | Networks and Communications |
| SIT221 | Data Structures and Algorithms |
Year 3 - Trimester 1
| SIT315 | Programming Paradigms |
| SIT310 | Robotics Application Development |
Plus two elective units
Year 3 - Trimester 2
| SIT311 | Software Engineering 3: Designing User-Centric Internet-Of-Things Application (2 credit points) |
| SIT314 | Developing Scalable Internet-Of-Things Applications |
| SIT307 | Data Mining and Machine Learning ~* |
Year 4 - Trimester 1
| SIT430 | Honours Research Project A ^(2 credit point unit) |
| SIT432 | Developing Secure Internet-Of-Things Applications ^ |
Plus one elective unit
Year 4 - Trimester 2
| SIT431 | Honours Research Project B ^ (2 credit point unit) |
| SIT433 | Unit description is currently unavailable ^ |
Plus one elective unit
^ Offered from 2020
* Offered in Trimester 1 from 2020
~ Students who commenced prior to 2020 may choose to replace SIT307 with an elective unit.
Course structure
Electives
Recommended elective units:
| SIT708 | Mobile Systems Development |
| SIT718 | Real World Analytics |
| SIT741 | Statistical Data Analysis |
| SIT742 | Modern Data Science |
| SIT755 | Interaction and Design for Virtual Reality and Augmented Reality |
| SIT756 | Development for Virtual Reality |
| SIT703 | Advanced Digital Forensics |
| SIT707 | Software Quality and Testing |
| SIT717 | Enterprise Business Intelligence |
| SIT720 | Machine Learning |
| SIT743 | Multivariate and Categorical Data Analysis |
| SIT744 | Practical Machine Learning for Data Science |
Work experience
The course includes a compulsory work placement that requires you to undertake at least 480 hours of suitable practical experience.
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.
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.