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Software
Master of EngineeringSpecialisation (formal)Year: 2019
Software
Contact information
Coordinator
Associate Professor Shanika Karunasekera
Email: karus@unimelb.edu.au
Melbourne School of Engineering
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact: Stop 1
Future students:
- Further information: Master of Engineering (Software)
- Contact: Enquiry Form
Overview
Software engineers combine an understanding of computer science, design, engineering management, mathematics and psychology to manage the development, maintenance and production of large scale software systems.
This specialisation focuses on team-based projects, in which students must conceive, design, implement and operate software engineering solutions. Students develop technical skills and the ability to apply engineering principles to solving real-world problems.
A year-long industry project provides the opportunity to work closely with ICT professionals, and many graduates find roles in this field, in addition to those in other service-oriented and software development areas.
Intended learning outcomes
To produce graduates who are skilled in software engineering principles and have the ability to apply them to complex, open-ended engineering tasks and problems.
Last updated: 22 September 2023
Structure
300 credit points
The Software specialisation of the Master of Engineering consists of 300 points of study - 200 points core plus 100 points elective subjects as listed below.
Advanced standing will be awarded for equivalent subjects taken in prior study to applicants on the following basis:
Credit, Advanced Standing and Accelerated Entry Policy (MPF1293) https://policy.unimelb.edu.au/MPF1293
Subject Options
Total 300 points – 200 points core (compulsory) and 100 points elective subjects from the list below. Students must complete all 300 points of subjects, including all core subjects, or have advanced standing or exemption.
The core and elective subjects are those listed below. The order of subjects below is one way of progressing through the course – students who meet subject requisites may tailor their individual study plan to take into account advanced standing and their study load. Students plan their study online and can seek further advice from Stop 1 on individual study plans.
Students must complete the following in the Master of Engineering (Software), according to the lists below:
- 200 credit points of core subjects (175 credit points compulsory subjects, 25 credit points selective subjects)
- 12.5 credit points of science electives
- 12.5 credit points of engineering electives
- 12.5 credit points of Computing and Information Systems (CIS) electives
- 62.5 credit points of Computing and Information Systems (CIS) advanced electives
Suggested first 100 points:
Suggested study plan for the first 100 points:
- 62.5 points Compulsory
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO20003 | Database Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN30006 | Software Modelling and Design |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
SWEN20003 | Object Oriented Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP30023 | Computer Systems | Semester 1 (On Campus - Parkville) |
12.5 |
- 12.5 points Selective (choose one) - University of Melbourne pathway students are recommended to take ENGR90034
Code | Name | Study period | Credit Points |
---|---|---|---|
ENGR90021 | Engineering Practice and Communication |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ENGR90034 | Creating Innovative Engineering |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
- 12.5 points Selective (choose one)
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (On Campus - Parkville) |
12.5 |
COMP20007 | Design of Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
- AND 12.5 points of any Level 2 or 3 Science elective.
Suggested second 100 points:
Suggested study plan for the second 100 points:
- 50 points Core
- 37.5 points Computing and Information Systems Advanced Electives
- 12.5 points Computing and Information Systems Electives
Core (50 points)
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN90014 | Masters Software Engineering Project | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90006 | Security & Software Testing | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90009 | Software Requirements Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
SWEN90016 | Software Processes and Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Suggested third 100 points:
Suggested study plan for the third 100 points:
- 62.5 points Core
- 25 points Computing and Information Systems Advanced Electives
- 12.5 points engineering electives (any Level 2, 3 or 9 subject from COMP, ENGR, ISYS or SWEN)
Core (62.5 points)
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN90013 | Masters Advanced Software Project | Year Long (On Campus - Parkville) |
25 |
SWEN90007 | Software Design and Architecture | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90010 | High Integrity Systems Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
SWEN90004 | Modelling Complex Software Systems | Semester 1 (On Campus - Parkville) |
12.5 |
Computing and Information Systems Electives
Total 12.5 points
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30020 | Declarative Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30019 | Graphics and Interaction | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30022 | IT Project | Semester 2 (On Campus - Parkville) |
12.5 |
COMP30023 | Computer Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30024 | Artificial Intelligence | Semester 1 (On Campus - Parkville) |
12.5 |
COMP30027 | Machine Learning | Semester 1 (On Campus - Parkville) |
12.5 |
Computing and Information Systems Advanced Electives
Total 62.5 points
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90016 | Computational Genomics | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90050 | Advanced Database Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90053 | Program Analysis and Transformation | Not available in 2019 | 12.5 |
COMP90042 | Web Search and Text Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90024 | Cluster and Cloud Computing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90046 | Constraint Programming | Not available in 2019 | 12.5 |
COMP90044 | Research Methods |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90014 | Algorithms for Functional Genomics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2019 | 12.5 |
COMP90020 | Distributed Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90048 | Declarative Programming | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90045 | Programming Language Implementation | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90057 | Advanced Theoretical Computer Science | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90054 | AI Planning for Autonomy | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90056 | Stream Computing and Applications | Semester 2 (On Campus - Parkville) |
12.5 |
ENGR90033 | Internship |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
ENGR90036 | Leadership for Innovation |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Links
http://www.eng.unimelb.edu.au/study/degrees/master-engineering-software/overview
Last updated: 22 September 2023