Bachelor of Computer Science

Course summary for local students

Year2017 course information
Award granted Bachelor of Computer Science
CampusOffered at Burwood (Melbourne)
Cloud CampusYes
Length3 years full-time or part-time equivalent
Next available intake

March (Trimester 1), July (Trimester 2)

Tuition fee rateAvailable fee rates can be found at www.deakin.edu.au/fees
Faculty contacts

Faculty of Science, Engineering and Built Environment
School of Information Technology
Tel 03 9244 6699
sebe@deakin.edu.au
www.deakin.edu.au/information-technology

LevelUndergraduate
Clearly-in ATAR
Burwood (Melbourne) - off campus: N/A
Burwood (Melbourne): N/A
VTAC Codes1400514151 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
1400614151 - Cloud (online), Commonwealth Supported Place (HECS)
CRICOS course code083695K
Deakin course code S306

Course sub-headings

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.

This course provides 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.

Choose from major sequences in Data Science, Robotics and Cyber-Physical Computing, or Cognitive Computing to focus your expertise in areas such as machine learning, artificial intelligence, robotics, smart devices and autonomous systems.

As a student 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.

Deakin’s 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.

Professional recognition

The Bachelor of Computer Science is provisionally accredited with the Australian Computer Society (ACS).

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 www.deakin.edu.au/fees.

Career opportunities

You will be suited to find employment in organisations engaged in software development, Big Data analysis, cloud computing infrastructure. Initial graduates are typically employed as a software developer, software analyst and design, database and web developer, network and systems manager, and IT consultant.  As your experience develops, you will also be well prepared for progression into project management positions.

Course Learning Outcomes

Deakin Graduate Learning Outcomes (DGLOs)

Course Learning Outcomes (CLOs)

 

1. Discipline-specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession.

  •   Develop a broad, coherent knowledge of the computer science discipline, with detailed knowledge of the application of computer science principles in modern computing systems and software development.
  • Design, develop and implement computing systems that satisfy industry standards and best practices in one or more specialised areas of computer science.
  • Have an in depth knowledge of the concepts and technologies related to computer science and the confidence and ability to communicate to a variety of audiences.
  • Understand the role of computing systems in modern organisations and society in general and apply knowledge of computer science to identify, evaluate, and make recommendations for enhancements.
  • Apply problem solving and knowledge of the practices of computer science and software development to deliver effective and reliable computing systems.
  • Develop a broad, coherent knowledge of the computer science discipline, with detailed knowledge of the application of computer science principles in modern computing systems and software development.

  • Design, develop and implement computing systems that satisfy industry standards and best practices in one or more specialised areas of computer science.

  • Have an in depth knowledge of the concepts and technologies related to computer science and the confidence and ability to communicate to a variety of audiences.

  • Understand the role of computing systems in modern organisations and society in general and apply knowledge of computer science to identify, evaluate, and make recommendations for enhancements.

  • Apply problem solving and knowledge of the practices of computer science and software development to deliver effective and reliable computing systems.

2. Communication: using oral, written and interpersonal communication to inform, motivate and effect change.

  • 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.

3. Digital literacy: using technologies to find, use and disseminate information.

  • Utilise a range of digital technologies and information sources to discover, analyse, evaluate, select, process and disseminate both technical and non-technical information.

4. Critical thinking: evaluating information using critical and analytical thinking and judgment.

  • Evaluate specialist computer science information using critical and analytical thinking, technical skills and well-developed judgement to identify problems, analyse requirements and propose solutions.

5. Problem solving: creating solutions to authentic (real world and ill-defined) problems.

  • Apply theoretical constructs and skills and critical analysis to real-world and ill-defined problems and develop innovative computing solutions.

6. Self-management: working and learning independently, and taking responsibility for personal actions.

  • 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.

7. Teamwork:working and learning with others from different disciplines and backgrounds.

  • Apply the principles of effective teamwork as a member of diverse computer science teams to demonstrate responsibility for own learning within broad parameters.

8. Global citizenship: engaging ethically and productively in the professional context and with diverse communities and cultures in a global context.

  • 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 14 July 2016

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 24 credit points include 16 core units (these are compulsory and includes a compulsory internship unit), 2 elective units (you can choose which ones to study) and 6 units from a major study. You will be required to complete at least one major study as part of this course.

Major sequences

Refer to the details of each major sequence for availability.

Course structure

Core

Level 1 - Trimester 1

SIT010Safety Induction Program (0 credit point unit)

SIT105Critical Thinking and Problem Solving for IT

SIT190Introductory Mathematical Methods **

SIT111Introduction to Computer Science

One SIT-coded unit (major)

Level 1 - Trimester 2

SIT102Introduction to Programming

SIT103Database and Information Retrieval

SIT192Discrete Mathematics

One SIT-coded unit (major)

 


Level 2 - Trimester 1

STP010Introduction to Work Placements (0 credit point unit)

SIT222Operating Systems Concepts

SIT223Information Technology Professional Skills

SIT232Object-Oriented Development

One SIT-coded unit (major)

Level 2 - Trimester 2

SIT202Computer Networks

SIT221Data Structures and Algorithms

One elective

One SIT-coded unit (major)

 


Level 3 - Trimester1

SIT365Human-Computer Interaction

SIT322Distributed Systems

SIT374Project Management

One SIT-coded unit (major)

Level 3 - Trimester 2

SIT302Project

One elective

One SIT-coded unit (major)

Plus one unit in:

SIT306IT Internship ^

STP301Industry Based Learning

 

** Students who have completed Mathematical Methods 3 and 4 or equivalent may choose to replace SIT190 with an elective unit

^ Offered in Trimester 1, trimester 2 and trimester 3

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).


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.

Entry requirements - general

Deakin University offers admission to undergraduate courses through a number of Admission categories.
In all categories of admission, selection is based primarily on academic merit as indicated by an applicant's previous academic record.
For more information on the Admission Criteria and Selection Policy visit The Guide.

Entry requirements - specific

Applicants should have successfully completed VCE or equivalent. Refer to the VTAC Guide for the latest pre-requisite information www.vtac.edu.au

Those aged 21 or over on 1 January and who do not hold VCE or equivalent should apply under Alternative Admission. This category is open to those who do not satisfy normal entrance requirements, but can demonstrate relevant work or life experience.

Credit for prior learning - general

The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.

You can also refer to the Credit for Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

Credit for prior learning - specific

The Faculty may grant credit towards a Bachelor of Computer Science for previous tertiary study and other approved forms of post-secondary study or experience.  This previous study need not have led to a complete qualification; for example, a student may be given credit after completing the first year of a course in another faculty or at another institution.  This credit is called advanced standing.  All applications for credit for prior learning must be made initially to the Selection Officer who will advise students of the necessary procedures.

All applications are considered on merit and usually no credit will be given for subjects/courses/units completed more than seven years prior to the request.  For the Bachelor of Computer Science, the maximum credit for prior learning that can be granted is 16 credit points. This may include credit for non-computing studies.

How to apply

Trimester 3 – start studying in November 2016

To see if this course is taking applications, check our Trimester 3 webpage. Applications for Trimester 3 are made directly to Deakin through our Applicant Portal.

Trimester 1 – start studying in March 2017

Apply through VTAC for Trimester 1.

Exceptions to submitting a VTAC application

If you are:

  • not studying Year 12 in 2016 and only intend to apply to one institution for one course (which is Deakin), or
  • applying for a Deakin course, which is not listed on the VTAC website.

a direct application can be submitted to Deakin through our Applicant Portal.

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.

Work experience

You will have an opportunity to undertake a discipline-specific Industry-Based Learning placement as part of your course. This will provide you with the opportunity to apply and consolidate what you are learning in your course, experience workplace culture and workplace practices, explore career options and develop a professional network before you graduate. Please refer to deakin.edu.au/sebe/wil.