Bachelor of Engineering (Electrical and Electronic) (Honours) / Bachelor of Computer Science
with a major in Data Science – Blended learning – on-campus and digital learning
This course has been replaced with a newer course - this course is closed for new enrolments, the information on this page is provided for continuing students.
Selected major: Data Science
Learn the statistical methods and tools needed to manage big data sets and the visualisation techniques needed to represent and understand that data.
The Bachelor of Engineering (Electrical and Electronic) (Honours) / Bachelor of Computer Science is designed to provide students with design expertise in electronics, computer systems, telecommunications and software engineering, and cultivate in them the logical and lateral thinking that leads to the formulation, analysis and development of solutions to engineering problems.
Start dates
Hawthorn campus
- HE Block 5 - 13 July 2020
- HE Block 5 - 13 July 2020
VTAC codes
- 3400210731 (CSP)
- 3400210733 (IFP)
Course details
- Course structure, work integrated learning and professional recognition.
Course structure
Successful completion of the Bachelor of Engineering (Electrical and Electronic) (Honours) / Bachelor of Computer Science requires students to complete units of study to the value of 500 credit points. All units of study are valued at 12.5 credit points unless otherwise stated.
View course rules and special requirements
Core studies for Bachelor of Engineering (Electrical and Electronic) (Honours)
12 units (150 credit points)
| Units | Unit codes | Credit points |
|---|---|---|
| Introduction to Programming | COS10009 | 12.5 |
| Electronics Systems | EEE10001 | 12.5 |
| Engineering Mathematics 1 | MTH10006 | 12.5 |
| Engineering Mathematics 2 | MTH10007 | 12.5 |
| Energy & Motion | PHY10001 | 12.5 |
| Professional Skills – Electrical Engineering | TNE10003 | 12.5 |
| Networks and Switching | TNE10006 | 12.5 |
| Technical Software Development | SWE20004 | 12.5 |
| Engineering Management 1 | MME30001 | 12.5 |
| Development Project 2 – Design, Planning and Management | SWE30010 | 12.5 |
| Final Year Research Project 1 * | EEE40011 | 12.5 |
| Final Year Research Project 2 * | EEE40012 | 12.5 |
*Outcome unit – completion demonstrates the attainment of course learning outcomes
+
Major for Bachelor of Engineering (Electrical and Electronic) (Honours) in Electrical and Power Systems
16 units (200 credit points)
Master the basic engineering principles underlying electrical and electronic engineering with an emphasis on electronic and micro-controllers-based design, operation and control of electrical machines, power system generation and distribution, systems modelling, automation and control.
| Units | Unit codes | Credit points |
|---|---|---|
| Digital Electronics Design | EEE20001 | 12.5 |
| Circuits and Systems | EEE20002 | 12.5 |
| Embedded Microcontrollers | EEE20003 | 12.5 |
| Analogue Electronics 1 | EEE20004 | 12.5 |
| Electrical Machines | EEE20005 | 12.5 |
| Engineering Mathematics 3B | MTH20005 | 12.5 |
| Analogue Electronics 2 † | EEE30001 | 12.5 |
| Electrical Power Systems † | EEE30002 | 12.5 |
| Digital Signal Processing | EEE30004 | 12.5 |
| Electrical Integrated Design Project | EEE30005 | 12.5 |
| Control & Automation † | RME30002 | 12.5 |
| Communications Principles | TNE30003 | 12.5 |
| Integrated Circuit Design *† | EEE40002 | 12.5 |
| Power Electronics *† | EEE40005 | 12.5 |
| Power System Operation and Control *† | EEE40007 | 12.5 |
| Electromagnetic Waves *† | PHY40001 | 12.5 |
*Outcome unit – completion demonstrates the attainment of course learning outcomes
†Honours merit unit – results are used in the honours merit calculation
+
| Units | Unit codes | Credit points |
|---|---|---|
| Creating Web applications | COS10011 | 12.5 |
| Fundamentals of Data Management | COS20015 | 12.5 |
| Professional Issues In IT * | ICT30005 | 12.5 |
| Software Engineering Project A * | SWE40001 | 12.5 |
| Software Engineering Project B * | SWE40002 | 12.5 |
*Outcome unit – completion demonstrates the attainment of course learning outcomes
+
Selected major: Data Science
Learn the statistical methods and tools needed to manage big data sets and the visualisation techniques needed to represent and understand that data.
| Units | Unit codes | Credit points |
|---|---|---|
| Introduction to Data Science | COS10081 | 12.5 |
| Foundations of Statistics | STA10003 | 12.5 |
| Big Data Architecture and Application | COS20085 | 12.5 |
| Data Structures and Patterns * | COS30008 | 12.5 |
| Introduction to Artificial Intelligence * | COS30019 | 12.5 |
| Data Visualisation * | COS30045 | 12.5 |
| IT Program and Project Management | INF30033 | 12.5 |
*Outcome unit – completion demonstrates the attainment of course learning outcomes
- Full-time study: 100 credit points/eight standard units of study per year
- Part-time study: 50 credit points/four standard units of study per year
- One credit point is equivalent to one hour of study per week per semester (including contact hours and private study)
- See the course planner for an example degree structure
Course learning outcomes
Students who successfully complete the Bachelor of Engineering (Electrical and Electronic) (Honours) will be able to:
- Apply coherent and advanced knowledge of chosen specialisation in electrical and electronic engineering in diverse contexts and applications using critical thinking and judgment.
- Apply knowledge of research principles and methods to plan and execute a piece of research with some independence, as preparation for research higher degrees.
- Apply problem solving, design and decision-making methodologies to identify and provide innovative solutions to complex problems within their chosen specialisation with intellectual independence.
- Apply abstraction, mathematics and electrical and electronic engineering fundamentals to the analysis, design and operation of a model, using appropriate engineering methods and tools.
- Communicate proficiently in professional practice to a variety of audiences, function as an effective member or leader of a diverse team, and use the basic tools and practices of project management within project work.
- Demonstrate professionalism, integrity, ethical conduct, professional accountability and cultural sensitivity, and an awareness of professional engineering and business practice in a global and sustainable context.
- Reflect on and take responsibility for their own learning and self-management processes, and manage their own time and processes effectively by regularly reviewing of personal performance as a means of managing continuing professional development and lifelong learning.
Students who successfully complete the Bachelor of Computer Science will be able to:
- Apply a broad and coherent knowledge of computer science in diverse contexts and domains using critical thinking and judgment.
- Apply appropriate methods and contemporary software development tools to the scoping, analysis, design, construction, verification and operation of software systems.
- Communicate proficiently to a variety of audiences, function as an effective member or leader of a computer science team, and use the basic tools and practices of project management within project work.
- Demonstrate professionalism, integrity, ethical conduct, professional accountability and an awareness of professional practice in a global context.
- Apply problem analysis and decision-making methodologies to identify, design and implement solutions to industry relevant problems with intellectual independence.
- Reflect on personal performance, learning, and self-management processes as a means of continued professional development and lifelong learning.
Professional recognition
Students who complete this program are eligible to apply for membership in Engineers Australia (EA) and the Australian Computer Society (ACS).
Fees
Find out more about fees.
Scholarships
At Swinburne scholarships are about providing opportunity, promoting equity and recognising excellence and achievement. Scholarships are available for both commencing and current students.
How to enter this course
- Entry requirements, credit transfer and recognition of prior learning.