Bachelor of Computer Science
2019 Deakin University Handbook
| Year | 2019 course information |
|---|---|
| Award granted | Bachelor of Computer Science |
| 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 | 3 years full-time or part-time equivalent |
| CRICOS course code | 083695K Burwood (Melbourne) |
| Deakin course code | S306 |
| 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 7. |
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
Course overview
Deakin’s Bachelor of Computer Science will equip you with the knowledge and practical skills required to design and develop innovative software solutions to complex information and technology problems faced by communities, businesses and industries.
The course is ideally suited to those who are passionate about solving problems and creating solutions, curious about how something works, rather than simply what it does and interested in working at the leading edge of technology innovation and development.
We provide a comprehensive and systematic study of computer systems and networks, data management and information processes, human computer interaction, programming and software development, computing theory, mathematical methods, and algorithm design and analysis.
You’ll gain hands-on experience and a practical understanding of theory through learning activities in our modern computing laboratories, working with the latest hardware and software technologies alongside our internationally recognised academic staff. Our world-class research programs in computer science feed directly into our classrooms, meaning that you’ll be learning at the cutting edge of industry expectations and capabilities.
The Bachelor of Computer Science has been accredited by the Australian Computer Society (ACS), ensuring a high quality of education and providing you with international recognition as an ICT industry professional.
Computer science graduates are in high demand in Australia and internationally and find employment in a variety of roles, such as data scientist, software developer, software engineer, systems or network administrator, database administrator or developer, solutions architect, systems analyst, or project manager. Computer scientists also work in specialist research and development roles, in both public and private organisations.
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 Bachelor of Computer Science is professionally accredited with the Australian Computer Society (ACS).
Career opportunities
You will be suited to find employment in organisations engaged in software development, Big Data analysis and cloud computing infrastructure. New graduates are typically employed as a software developers, software analysts and designers, database and web developers, network and systems managers, and IT consultants. As your experience develops, you will also be well prepared for progression into project management positions.
Participation requirements
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.
Equipment requirements
For information regarding hardware and software requirements, please refer to the School of Information Technology's website, www.deakin.edu.au/information-technology/students or telephone 03 9244 6699.
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 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 personal judgement and values 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. |
Approved by Faculty Board 7 June 2018
Course rules
To complete the Bachelor of Computer Science, students must attain 24 credit points. Most units (think of units as ‘subjects’) are equal to 1 credit point. So that means in order to gain 24 credit points, you’ll need to study 24 units (AKA ‘subjects’) over your entire degree. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.
The course comprises a total of 24 credit points, which must include the following:
- 17 core IT units (which includes a compulsory internship unit SIT306 IT Internship or STP301 Industry Based Learning)
- 6 general elective units totalling 6 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 Introduction to Work Placements (0-credit point compulsory unit)
- level 1 - maximum of 10 credit points
- levels 2 and 3 - minimum of 14 credit points over both levels
Students are required to meet the University's academic progress and conduct requirements. Click here for more information.
Course structure
Core
Level 1 - Trimester 1
| STP050 | Academic Integrity (0 credit points) |
| SIT010 | Safety Induction Program (0 credit points) |
| SIT111 | Algorithms and Computing Systems |
| SIT192 | Discrete Mathematics |
| SIT112 | Data Science Concepts |
elective
Level 1 - Trimester 2
| SIT102 | Introduction to Programming |
| SIT103 | Data and Information Management |
| SIT123 | Data Capture Technologies |
elective
Level 2 - Trimester 1
| STP010 | Introduction to Work Placements (0 credit points) |
| SIT210 | Embedded Systems Development |
| SIT223 | Professional Practice in Information Technology |
| SIT232 | Object-Oriented Development |
elective
Level 2 - Trimester 2
| SIT202 | Networks and Communications |
| SIT221 | Data Structures and Algorithms |
| SIT215 | Artificial and Computational Intelligence |
elective
Level 3 - Trimester 1
| SIT315 | Programming Paradigms |
Plus two elective units
Level 3 - Trimester 2
| SIT316 | Optimisation and Constraint Programming |
| SIT318 | Innovation Design and Prototyping (2 credit points)+ |
| SIT307 | Data Mining and Machine Learning # |
Plus one unit in:
| SIT306 | IT Placement ^ |
| STP301 | Industry Based Learning |
^ Offered in Trimester 1, trimester 2 and trimester 3
# Offered in Trimester 1 from 2020
+ not available in 2019 (In 2019, students may undertake SIT374 Project Design and SIT302 Project Delivery concurrently however students are encouraged to complete these units in consecutive trimesters if possible.)
Course structure
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
This course includes a compulsory work placement where you will be required to undertake a minimum of 100 hours in industry, providing professional work experience with an approved host organisation. Alternatively, high achieving students may have the opportunity to undertake an extended full-time paid industry-based learning placement between 6 – 12 weeks (conditions apply, please refer to deakin.edu.au/sebe/wil.)
Elective units may also provide additional opportunities for Work Integrated Learning experiences.
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 will have the opportunity to participate in a range of extra-curricular learning opportunities, such as internal and external competitions and challenges, industry projects within the Deakin Incubator Group, and international study tours.