Master of Electrical Engineering (MC-ELECENG) // Course structure
About this course
Coordinator
Gavin Buskes
Contact
This course is available in My Course Planner
Course structure
The Master of Electrical Engineering requires the successful completion of 300 credit points.
The Master of Electrical Engineering is a three-year degree (full time).
To obtain the degree (no specialisation) students must complete:
- 100 credit points of Year 1 compulsory subjects
- 100 credit points of Year 2 compulsory subjects
- 25 credit points of Year 3 compulsory capstone project subjects
- 75 credit points of electives including
- A minimum of 50 credit points of No specialisation Group A (Electrical Engineering) electives
- A maximum of 25 credit points of Group B (Approved) electives
To obtain the degree with a specialisation, students must instead complete:
- 100 credit points of Year 1 compulsory subjects
- 100 credit points of Year 2 compulsory subjects
50 credit points of Year 3 specialisation core subjects
- 25 credit points of Year 3 compulsory capstone project subjects
25 credit points of electives including
25 credit points of Electrical Engineering Elective (Group A) subjects (Business specialisation only) or 25 credit points of Electrical Engineering (Group A) or Approved Elective (Group B) subjects (for other specialisations other than Business)
Note:
1. Students entering the course with advanced standing who plan on completing a specialisation may need to enrol in core specialisation subjects in their commencing semester. Please check and follow the structure outlined for your intended specialisation and seek course planning advice.
2. Students who commenced prior to 2025 can complete their degree following the course structure as per their year of entry/admission. Students in this group can also complete ENGR90051 as part of their Year 2 selective subject options.
To complete this degree (no specialisation) students should complete in the following order:
Year 1:
- 100 credit points of Year 1 compulsory subjects
Year 2:
- 100 credit points of Year 2 compulsory subjects
Year 3:
- 25 credit points of Year 3 compulsory capstone project subjects
- 75 credit points of electives
Note:
For specialisations, please refer to the individual page.
Engineering Practice Hurdle Requirement
Students enrolled in the Master of Electrical Engineering degree will need to satisfy the requirements of the Engineering Practice hurdle prior to being awarded the degree. Students will be introduced early in their degree to the online e-portfolio system as a way of documenting their attainment of graduate attributes which accord with University and professional accreditation standards. Students will keep a record of their stepwise attainment of these capabilities throughout their engineering studies at Melbourne. The artifacts recorded in the e-portfolio may include formal study elements, such as design reports, as well as reflections on extracurricular activities such as employment and volunteering activities.
Hurdle Requirement
In order to achieve the Engineering Practice Hurdle requirement, students will need to document the attainment of professional skills at an adequate level. This may include the successful completion of any of the following:
1. Skills Towards Employment Program (STEP)
2. ENGR90033 Internship subject
3. An agreed level of internship at an approved engineering form (without receiving University credit)
Completion of the degree will not be approved until this requirement has been met.
Study options (no specialisation)
Year 1 compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN20005 | Foundations of Electrical Networks |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN20006 | Digital Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST20029 | Engineering Mathematics |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP20005 | Intro. to Numerical Computation in C |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN30009 | Electrical Network Analysis and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN30011 | Electrical Device Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN30012 | Signals and Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN30013 | Electronic System Implementation | Semester 2 (On Campus - Parkville) |
12.5 |
Year 2 compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN90054 | Probability and Random Models | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90055 | Control Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN90058 | Signal Processing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90057 | Communication Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90074 | Introduction to Power Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90056 | Electronic Circuit Design | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90066 | Embedded System Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ENGR90051 | Interdisciplinary Design for Engineers |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Note: Students who commenced prior to 2025 can complete their degree following the course structure as per their year of entry/admission. Students in this group can also complete ENGR90051 as part of their Year 2 selective subject options.
Year 3 compulsory capstone project subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ENGR90037 | Engineering Capstone Project Part 1 |
Semester 1 (Extended) (On Campus - Parkville)
Semester 2 (Extended) (On Campus - Parkville)
|
12.5 |
| ENGR90038 | Engineering Capstone Project Part 2 |
Semester 1 (Early-Start) (On Campus - Parkville)
Semester 2 (Early-Start) (On Campus - Parkville)
|
12.5 |
Electrical Engineering Electives (Group A)
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ELEN90026 | Introduction to Optimisation | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90051 | Advanced Communication Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90052 | Advanced Signal Processing | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90053 | Electronic System Design | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90059 | Lightwave Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90060 | Power System Analysis | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90061 | Communication Networks | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90062 | High Speed Electronics | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90064 | Advanced Control Systems | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90075 | Power Electronics | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90077 | Grid Integration of Renewables | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90088 | System Optimisation & Machine Learning | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90089 | Communication Design Clinic | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90090 | Autonomous Systems Clinic | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90091 | Semiconductor Devices | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90092 | Low-carbon Grids: Operation & Economics | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90093 | Microprocessor Design Clinic | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90094 | Large Data Methods & Applications | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90011 | Directed Studies |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| ELEN90095 | AI for Robotics | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90096 | Hardware Accelerated Computing | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90083 | Electrical Engineering Research Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
| ELEN90099 | Applied Deep Learning for Engineers | Semester 2 (On Campus - Parkville) |
12.5 |
| ELEN90097 | Modelling and Analysis for AI | Semester 1 (On Campus - Parkville) |
12.5 |
| ELEN90098 | Reinforcement Learning for Engineering | Semester 2 (On Campus - Parkville) |
12.5 |
Approved Electives (Group B)
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| MCEN90017 | Advanced Motion Control | Not available in 2025 | 12.5 |
| ENGR90036 | Leadership for Innovation |
Semester 1 (Early-Start) (On Campus - Parkville)
Semester 2 (Early-Start) (On Campus - Parkville)
|
12.5 |
| BUSA90485 | Global Business Practicum |
Summer Term (Off Campus)
July (Off Campus)
November (Off Campus)
|
12.5 |
| ENGR90026 | Engineering Entrepreneurship | Semester 1 (On Campus - Parkville) |
12.5 |
| ENGR90033 | Internship |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
25 |
| ENGR90046 | Nuclear Engineering | Not available in 2025 | 12.5 |
| ENGR90047 | Radiation Protection | Not available in 2025 | 12.5 |
| ENGR90048 | Engineering of Nuclear Systems | Not available in 2025 | 12.5 |
| ENGR90049 | Nuclear Safety, Security and Safeguards | Not available in 2025 | 12.5 |
| ENGR90034 | Creating Innovative Engineering | Semester 2 (On Campus - Parkville) |
12.5 |
Technical subjects at Level 9 may be taken as approved electives subject to pre-requisites and approval from both Subject and Course Coordinators.
Specialisation subjects
Please see the specialisation subjects in the respective specialisation page.
Last updated: 12 April 2025