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Master of Software Engineering (MC-SOFTENG)
Masters (Coursework)Year: 2022 Delivered: On Campus (Parkville)
About this course
Overview
| Award title | Master of Software Engineering |
|---|---|
| Year & campus | 2022 — Parkville |
| CRICOS code | 106110B |
| Fees information | Subject EFTSL, level, discipline and census date |
| Study level & type | Graduate Coursework |
| AQF level | 9 |
| Credit points | 300 credit points |
| Duration | 36 months full-time or 72 months part-time |
The Master of Software Engineering is an entry-to-practice degree that provides students with the necessary knowledge and skills to enter the international workplace as software engineers. Graduates are skilled in software engineering principles and have the ability to apply these skills to complex, open-ended engineering tasks and problems. The degree provides sequential study in the software engineering discipline, building on a solid foundation in mathematics and programming. Within the degree, students acquire core skills in the areas of software processes, project management, requirement analysis, design and architecture, implementation, testing, communication and teamwork. Students may also choose to undertake specialisations in business, artificial intelligence, distributed computing, cyber security and human computer interaction. The degree culminates in a capstone experience in which students will work on a software engineering project involving real-life clients. Students have the opportunity to participate in overseas study, industry-based projects and supervised research.
Distinction
Upon completion of the Master of Software Engineering, it is possible for a student to be awarded Master of Software Engineering with Distinction provided a student has achieved a high level of academic performance. Eligibility of the Distinction award is dependent on a calculated distinction score.
The distinction score will only take into account Level 9 subjects undertaken at the University of Melbourne. This means Study Abroad and Exchange subjects will not be considered. One 12.5 point subject with the lowest mark will be omitted in the calculation of the distinction score. All level 9 subjects with credit points of more than 12.5 points must be included in the calculations. Only marks from the first attempt at a subject will be used. The average mark will be weighted by the credit points of the subjects. A Master of Engineering with Distinction will be awarded if the score is 80 or above.
Entry requirements
1. In order to be considered for entry, applicants must have completed:
- An undergraduate degree with a weighted average mark of at least H3 (65%) or equivalent; and
- At least 25 points of any tertiary-level Mathematics; and
- At least 25 points of any tertiary-level Computer Programming
Applicants who are completing prerequisite subjects as single subject study in order to meet the Mathematics and/or Computer Programming entry requirements will be required to achieve a grade of at least H3 (65%) or equivalent in each individual prerequisite subject to satisfy this entry requirement.
Meeting these requirements does not guarantee selection.
2. In ranking applications, the Selection Committee will consider;
- Prior academic performance; and if relevant
- Professional experience
3. The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.
4. Applicants are required to satisfy the University’s English language requirements for graduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required.
Note:
Applicants with the following may be awarded up to 100 points of credit:
- Graduates of Melbourne Model BSc undergraduate degree who complete the Computing and Software Systems majors with a weighted average mark of at least H3 (65%) or equivalent;
- A Bachelor of Engineering, or equivalent as recognised by the Melbourne School of Engineering, in a cognate discipline appropriate to the stream of the Master of Engineering into which entry is sought with a weighted average mark of at least H3 (65%) or equivalent.
Available credit for other University of Melbourne graduates and graduates of other universities is normally evaluated on a case-by-case basis, but the Academic Board may approve standard credit arrangements for specified entry pathways.
Graduate Degree Packages for School Leavers
The University of Melbourne offers Graduate Degree Packages to high achieving school leavers, allowing them to secure places (Commonwealth Supported Places for domestic students or International fee places) in the Master of Engineering provided that they meet certain requirements.
For a Commonwealth Supported Place or an International Fee Place, the applicant must:
- Complete an Australian Year 12 or the International Baccalaureate (IB) in 2018 or later either:
- In Australia; or
- Outside Australia and be an Australian citizen;
- Achieve an ATAR (or notional ATAR) of at least 96.00;
- Apply for a University of Melbourne Graduate Degree Packages for commencement in the year following completion of Year 12 or IB via VTAC;
- Enrol immediately or be granted deferral in the year following Year 12;
- Successfully complete a Bachelor of Biomedicine, Commerce, Design or Science at the University of Melbourne including all the specified prerequisite subjects; and
- Commence the Master of Engineering within 18 months of completing the undergraduate degree.
Applicants should refer to the University handbook for the additional entry requirements for the undergraduate degrees in the Graduate Degree Packages.
Inherent requirements (core participation requirements)
The Master of Software Engineering welcomes applications from students with disabilities. It is University and degree policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student’s participation in the degree.
The Master of Software Engineering requires all students to enrol in subjects where they will require:
- The ability to comprehend complex science, technology and engineering related information;
- The ability to clearly and independently communicate a knowledge and application of science, technology and engineering principles and practices during assessment tasks; and,
- The ability to actively and safely contribute to computer laboratory base project activities in team settings.
Students must possess behavioural and social attributes that enable them to participate in a complex learning environment. Students are required to take responsibility for their own participation and learning. They also contribute to the learning of other students in collaborative learning environments, demonstrating interpersonal skills and an understanding of the needs of other students. Assessment may include the outcomes of tasks completed in collaboration with other students.
There may be additional inherent academic requirements for some subjects, and these requirements are listed within the description of the requirements for each of these subjects.
Students who feel their disability will impact on meeting this requirement are encouraged to discuss this matter with the relevant Subject Coordinator and Student Equity and Disability Support: http://www.services.unimelb.edu.au/disability/
Professional accreditation
Engineers Australia
The Master of Software Engineering is fully accredited by Engineers Australia.
Australian Computer Society
The Master of Software Engineering is fully accredited by the Australian Computer Society.
Intended learning outcomes
On completion of this course, graduates will:
- have gained knowledge and practice in software engineering topics including software processes, project management, requirement analysis, modelling, design, architecture, implementation and testing;
- have gained knowledge and practice in advanced software engineering topics which include designing secure and reliable software, high integrity systems, distributed systems and advanced software architectures;
- be able to apply their knowledge to plan, manage, analyse, design and implement software products using appropriate processes;
- have developed problem solving and trouble shooting skills that may be applied in professional practice;
- be able to demonstrate proficiency over established and emerging engineering methods and tools to solve practical engineering problems;
- understand the basic principles underlying the management of physical, human and financial resource;
- be able to effectively work in teams to solve complex, open-ended software engineering problems that require significant research and exploration;
- have effective verbal and written communication skills that enable them to make a meaningful contribution to the changes facing society;
- be conversant with important issues relevant to sectors influenced by software engineering, such as the sustainability of resources, the efficient operation of all processes and privacy and security in the age of the internet; and,
- know and epitomize professional ethical behaviour and responsibilities towards their profession and the community, including having positive and responsible approaches to sustainable development, process and personal safety, management of information and professional integrity.
Generic skills
- an advanced understanding of the changing knowledge base in software engineering;
- advanced skills and techniques applicable to software engineering;
- well-developed problem-solving abilities, characterised by flexibility of approach;
- advanced competencies in engineering professional expertise and scholarship;
- a capacity to articulate their knowledge and understanding in oral and written forms of communications;
- an advanced understanding of the international context and sensitivities of software engineering;
- an appreciation of the design, conduct and reporting of software engineering projects;
- a capacity to manage competing demands on time, including self-directed project work;
- an ability to evaluate and choose software technologies and frameworks used in software engineering;
- a profound respect for truth and intellectual integrity, and for the ethics of scholarship;
- an appreciation of the ways in which advanced knowledge equips the student to offer leadership in the specialist area;
- the capacity to value and participate in projects which require team-work;
- an understanding of the significance and value of their knowledge to the wider community (including business and industry);
- a capacity to engage where appropriate with issues in contemporary society; and,
- advanced working skills in the application of software engineering processes, principles and technologies, and a receptiveness to the opportunities offered by new technologies.
Graduate attributes
Graduates of the Master of Software Engineering will have:
University of Melbourne Graduate Attributes:
- Academically excellent
- Knowledgeable across disciplines
- Attuned to cultural diversity
- Active global citizens
- Leaders in communities
Faculty of Engineering and Information Technology Graduate Attributes:
- Strong analytical skills
- Depth of understanding
- Practical ingenuity creativity
- Understanding of global issues
- Communication
- Business and management
- Creativity
- Leadership
- Lifelong learners
- High ethical standards and professionalism
Engineers Australia Competencies:
- Comprehensive, theory-based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
- Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
- In-depth understanding of specialist bodies of knowledge within the engineering discipline.
- Discernment of knowledge development and research directions within the engineering discipline.
- Knowledge of engineering design practice and contextual factors impacting the engineering discipline
- Understanding of the scope, principles, norms, accountabilities and bounds of sustainable engineering
- Application of established engineering methods to complex engineering problem solving
- Fluent application of engineering techniques, tools and resources.
- Application of systematic engineering synthesis and design processes.
- Application of systematic approaches to the conduct and management of engineering projects.
- Ethical conduct and professional accountability.
- Effective oral and written communication in professional and lay domains.
- Creative, innovative and pro-active demeanour.
- Professional use and management of information.
- Orderly management of self, and professional conduct.
- Effective team membership and team leadership.
Course structure
The Master of Software Engineering is a three year degree (full time) and requires the successful completion of 300 credit points.
To obtain the degree (standard option) students must complete:
- 187.5 credit points of compulsory subjects
- 12.5 credit points of Software Engineering selectives
- 100 credit points of electives including
- a minimum of 62.5 credit points of Software Engineering electives
To obtain the degree with a specialization, please refer to the individual specialisation page for full detail.
Note: 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.
To complete this degree without specialisation students should complete in the following order:
Year 1:
- 62.5 credit points of Year 1 compulsory subjects
- 12.5 credit points of Year 1 Software Engineering selectives
- 12.5 credit points of Year 1 Group A electives
- 12.5 credit points of Year 1 Group B electives
Year 2:
- 75 credit points of Year 2 compulsory subjects
- 25 credit points of Software Engineering electives
Year 3:
- 50 credit points of Year 3 compulsory subjects
- 50 credit points of electives including
- a minimum of 37.5 credit points of Software Engineering elecltives
- a maximum of 12.5 credit points of Approved Electives
Note: For specialisations please refer to the individual page.
Progression: The core subject lists are divided into specific year levels, reflecting the recommended order of completing the course. There is, however, some flexibility between Year 2 and 3 core subjects, depending on the requisites set between them. Check the individual Handbook entries of these subjects for more detail.
Year 1 compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| SWEN20003 | Object Oriented Software Development |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP20003 | Algorithms and Data Structures | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| INFO20003 | Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| SWEN30006 | Software Modelling and Design |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP30026 | Models of Computation | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
Year 1 Software Engineering selectives
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ENGR90021 | Critical Communication for Engineers |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| ENGR90034 | Creating Innovative Engineering |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| ENGR90039 | Creating Innovative Professionals |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
Year 1 Group A electives
Any level 2 or 3 subject drawn from the Bachelor of Science program
Year 1 Group B electives
Any Level 3 Computer Science subject
Year 2 compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| COMP30023 | Computer Systems | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90016 | Software Processes and Management |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| SWEN90009 | Software Requirements Analysis | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90006 | Security & Software Testing | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90004 | Modelling Complex Software Systems | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90014 | Masters Software Engineering Project | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
Year 3 compulsory subjects
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| SWEN90010 | High Integrity Systems Engineering | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90007 | Software Design and Architecture | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| SWEN90017 | Masters Advanced Software Project Part 1 | Not available in 2022 | 12.5 |
| SWEN90018 | Masters Advanced Software Project Part 2 | Not available in 2022 | 12.5 |
Software Engineering electives
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| COMP90014 | Algorithms for Bioinformatics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90015 | Distributed Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP90016 | Computational Genomics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90017 | Sensor Networks and Applications | Not available in 2022 | 12.5 |
| COMP90018 | Mobile Computing Systems Programming | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90020 | Distributed Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90024 | Cluster and Cloud Computing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90025 | Parallel and Multicore Computing | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90042 | Natural Language Processing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90043 | Cryptography and Security | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90044 | Research Methods |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP90045 | Programming Language Implementation | Not available in 2022 | 12.5 |
| COMP90046 | Constraint Programming | Not available in 2022 | 12.5 |
| COMP90048 | Declarative Programming | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90049 | Introduction to Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP90050 | Advanced Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Winter Term (Dual-Delivery - Parkville)
|
12.5 |
| COMP90051 | Statistical Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP90053 | Program Analysis and Transformation | Not available in 2022 | 12.5 |
| COMP90054 | AI Planning for Autonomy |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| COMP90056 | Stream Computing and Applications | Not available in 2022 | 12.5 |
| COMP90057 | Advanced Theoretical Computer Science | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90073 | Security Analytics | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90074 | Web Security | Semester 1 (Online) |
12.5 |
| COMP90077 | Advanced Algorithms and Data Structures | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90083 | Computational Modelling and Simulation | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90084 | Quantum Software Fundamentals | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90085 | Volunteer Experience in I.T. | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90086 | Computer Vision | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| COMP90089 | Machine Learning Applications for Health | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| ISYS90070 | Information Security Consulting | June (Online) |
12.5 |
| INFO90003 | Designing Novel Interactions | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| INFO90004 | Evaluating the User Experience | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| INFO90005 | Information Architecture | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| INFO90006 | Fieldwork for Design | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| INFO90007 | Social Computing | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| GEOM90007 | Information Visualisation | Semester 2 (Online) |
12.5 |
| ENGR90033 | Internship |
Summer Term (Online)
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
25 |
| ENGR90036 | Leadership for Innovation |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
Approved Electives
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| ENGM90012 | Marketing Management for Engineers | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| ENGM90006 | Engineering Contracts and Procurement | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
| ENGM90011 | Economic Analysis for Engineers | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
| ENGM90014 | The World of Engineering Management |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| ENGM90013 | Strategy Execution for Engineers |
Semester 1 (Online)
Semester 2 (Dual-Delivery - Parkville)
|
12.5 |
| ENGR90026 | Engineering Entrepreneurship | Not available in 2022 | 12.5 |
| MCEN90031 | Applied High Performance Computing | Not available in 2022 | 12.5 |
| BUSA90473 | Business Practicum |
Semester 1 (Dual-Delivery - Parkville)
Winter Term (On Campus - Parkville)
|
12.5 |
| BUSA90485 | Global Business Practicum |
Summer Term (Online)
Winter Term (On Campus - Parkville)
November (On Campus - Parkville)
|
12.5 |
| LAWS90125 | Fundamentals of Intellectual Property | August (On Campus - Parkville) |
12.5 |
Majors, minors & specialisations
| Name | Credit Points |
|---|---|
| Artificial Intelligence | 75 |
| Business | 75 |
| Cyber Security | 75 |
| Distributed Computing | 75 |
| Human Computer Interaction | 75 |
Last updated: 19 April 2024