Bachelor of Computer Science
2015 Deakin University Handbook
Year | 2015 course information |
---|---|
Award granted | Bachelor of Computer Science |
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 |
* to be offered in Cloud (online) mode from Trimester 2 2015. |
Course sub-headings
- Course overview
- Career opportunities
- Course rules
- Major sequences
- Course structure
- Details of major sequences
Course overview
While studying in a fast-paced and evolving field, the Bachelor of Computer Science will equip students with the skills to design and develop advanced software and systems, along with the capacity to create and integrate new computing technologies that enhance effective business operation in today’s digital age. With a focus on the technological aspects of IT, including analytics, cloud computing, computer programming, software engineering, and database development and administration, students will develop the knowledge, skills and competencies to build a wide range of applications to solve the technological challenges of today and tomorrow.
Students will also develop skills in critical thinking, problem solving, team work and communication through a variety of platforms. Hands-on experiential learning is a key component of this course and students will have access to specialised computer laboratories, the opportunity to study for industry certifications, and to learn from professional industry guest lecturers. Students also have the opportunity to apply for internships and industry based learning placements as part of their course.
Graduates are highly sought-after for employment in a range of areas including software development, system analytics, business analytics, database development, new technology research, project management, solutions architecture and systems programming.
An honours year is available for high-achieving students upon completion of this degree.
Units in the course may include assessment hurdle requirements.
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.
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 rules
The course comprises a total of 24 credit points, which must include the following:
- 15 core IT units (6 at Level 1**, 5 at Level 2, and 4 at Level 3)
- 3 elective units
- Completion of SIT010 Safety Induction Program (0 credit-point compulsory unit)
- At least one 6-credit point Computer Science major sequence from: Data Science OR Cloud Computing
- level 1 - maximum of 10 credit points
- levels 2 and 3 - minimum of 14 credit points over both levels
- level 3 - minimum of 6 credit points of which at least 4 must be SIT Course Grouped units
Major sequences
Refer to the details of each major sequence for availability.
Cloud Computing
Data Science
Course structure
Level 1
Trimester 1
SIT010 | Unit description is currently unavailable * |
SIT105 | Unit description is currently unavailable |
SIT190 | Unit description is currently unavailable ** |
SIT111 | Unit description is currently unavailable |
One SIT-coded unit (major)
Trimester 2
SIT102 | Unit description is currently unavailable |
SIT103 | Unit description is currently unavailable |
SIT192 | Unit description is currently unavailable |
One SIT-coded unit (major)
Level 2
Trimester 1
SIT222 | Unit description is currently unavailable |
SIT223 | Unit description is currently unavailable |
SIT232 | Unit description is currently unavailable |
One SIT-coded unit (major)
Trimester 2
SIT202 | Unit description is currently unavailable |
SIT221 | Unit description is currently unavailable |
One elective
One SIT-coded unit (major)
Level 3
Trimester1
SIT365 | Unit description is currently unavailable |
SIT322 | Unit description is currently unavailable |
One elective
One SIT-coded unit (major)
Trimester2
SIT302 | Unit description is currently unavailable |
SIT306 | Unit description is currently unavailable ^ |
One elective
One SIT-coded unit (major)
*Note: SIT010 is a 0 credit point safety induction unit.
** Students who have completed Mathematical Methods 3 and 4 or equivalent may choose to replace SIT190 with an elective unit
^ available from 2016 (offered in Trimester 1, trimester 2 and trimester 3)
Details of major sequences
Cloud Computing - unit set code MJ-S000063
Burwood (Melbourne)
Cloud Computing is a significant development in the IT industry that is having a major impact on how software solutions are developed, deployed, and delivered over the web. You will undertake a study of the concepts and technologies of cloud computing and acquire the necessary expertise to work effectively in this field, both by exploiting public cloud infrastructure options and through the construction of private cloud infrastructure.
The major sequence incorporates the Cisco Certified Networking Associate (CCNA) curriculum that trains you in the skills needed to construct and maintain network infrastructures to effectively support organisational needs.
Subject areas include: cloud computing and virtualisation, computer security, enterprise network construction and management, system security and research and development in IT.
SIT113 | Unit description is currently unavailable |
SIT182 | Unit description is currently unavailable |
SIT272 | Unit description is currently unavailable |
SIT277 | Unit description is currently unavailable |
SIT340 | Unit description is currently unavailable |
SIT382 | Unit description is currently unavailable |
Details of major sequences
Data Science - unit set code MJ-S000060
Burwood (Melbourne), Cloud (online)
Data analytics is an integral part of decision making in all sectors of the society: business, finance, government, medicine, research and beyond. The Data Science major sequence provides you with the skills and knowledge that are essential for data analytics professionals. You will learn the theory, methodologies, and techniques that allow you to interpret datasets and uncover hidden patterns in order to make predictions, draw conclusions, drive successful initiatives, and make better decisions. Particular focus will be paid to meaningful analyses in the face of huge amounts of data, where traditional approaches may be impractical.
Subject areas include a wide spectrum of analytics: data science concepts, statistics and data analysis, computational decision analysis, data mining and machine learning, and advanced data science.
SIT191 | Unit description is currently unavailable |
SIT112 | Unit description is currently unavailable |
SIT208 | Unit description is currently unavailable * |
SIT292 | Unit description is currently unavailable |
SIT399 | Unit description is currently unavailable |
SIT307 | Unit description is currently unavailable ^ |
* available from 2016
^ available from 2017