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Software
Master of EngineeringSpecialisation (formal)Year: 2023
Software
Contact information
Coordinator
Dr Patanamon Thongtanunam
Email: patanamon.t@unimelb.edu.au
Faculty of Engineering and Information Technology
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
This course is discontinued and is no longer available for admissions.
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
On completion of this specialisation, students should be able to:
- Gained advanced knowledge of the principles of spatial engineering underpinning spatial measurements, spatial information management, visualisation and analytics;
- Had the opportunity to develop research principles and methods in the field of spatial engineering;
- Cognitive skills to demonstrate mastery of theoretical knowledge to reflect critically on theory and professional practice of spatial measurements, spatial information management, visualisation and analytics
- Cognitive, technical and creative skills to investigate, analyse and synthesise complex information, problems, concepts and theories in the context of sustainable development and to apply established theories to different bodies of knowledge of spatial engineering;
- Communication and technical research skills to justify and interpret theoretical propositions, methodologies, conclusions, to professional engineering and non‐engineering audiences;
- Technical and communication skills to design, evaluate, implement, analyse, theorise about developments that contribute to professional practice or scholarship in the field of spatial engineering.
- With creativity and initiative to new situations in professional practice and/or for further learning;
- With high level personal autonomy and accountability;
- To plan and execute a substantial piece of scholarship.
Last updated: 13 November 2024
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:
- 50.0 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 |
- 12.5 points Selective (choose one)
Code | Name | Study period | Credit Points |
---|---|---|---|
ENGR90021 | Critical Communication for Engineers |
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 |
ENGR90039 | Creating Innovative Professionals |
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 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
- 12.5 points of any Level 2 or 3 Science elective
- 12.5 points Computing and Information Systems Electives
Suggested second 100 points:
Suggested study plan for the second 100 points:
- 62.5 points Core
- 37.5 points Computing and Information Systems Advanced Electives
Core (62.5 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 (Dual-Delivery - Parkville) |
12.5 |
SWEN90016 | Software Processes and Management |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP30023 | Computer Systems | Semester 1 (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 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 (Dual-Delivery - Parkville) |
25 |
SWEN90007 | Software Design and Architecture | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90010 | High Integrity Systems Engineering | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
SWEN90004 | Modelling Complex Software Systems | Semester 1 (Dual-Delivery - 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 |
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 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90016 | Computational Genomics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90050 | Advanced Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Winter Term (Dual-Delivery - Parkville)
|
12.5 |
COMP90053 | Program Analysis and Transformation | Not available in 2023 | 12.5 |
COMP90042 | Natural Language Processing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90024 | Cluster and Cloud Computing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90049 | Introduction to Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90046 | Constraint Programming | Not available in 2023 | 12.5 |
COMP90044 | Research Methods |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90014 | Algorithms for Bioinformatics | 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 2023 | 12.5 |
COMP90020 | Distributed Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90048 | Declarative Programming | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90045 | Programming Language Implementation | Not available in 2023 | 12.5 |
COMP90057 | Advanced Theoretical Computer Science | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90054 | AI Planning for Autonomy |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90056 | Stream Computing and Applications | Not available in 2023 | 12.5 |
ENGR90033 | Internship |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
25 |
ENGR90036 | Leadership for Innovation |
Semester 1 (Early-Start) (On Campus - Parkville)
Semester 2 (Early-Start) (On Campus - Parkville)
|
12.5 |
COMP90077 | Advanced Algorithms and Data Structures | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90073 | Security Analytics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90074 | Web Security |
Semester 1 (Online)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90085 | Volunteer Experience in I.T. | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90086 | Computer Vision | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Links
http://www.eng.unimelb.edu.au/study/degrees/master-engineering-software/overview
Last updated: 13 November 2024