Master of Computing

NOTE:

Applications from international students for Semester 1, 2020 intake of this program are now closedThe Master of Computing is a 2-year full-time (or equivalent part-time) degree with two target audiences:

graduates without a computing background who wish to acquire a solid knowledge of computing, and graduates with a computing or information technology background who wish to broaden and deepen or refresh their knowledge.

The program is professionally accredited by the Australian Computer Society.Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices.

Students have the opportunity to participate in many cutting edge courses and, depending upon their background and interests, may choose to specialise in artificial intelligence, human centred design and software development, or data science.

The program culminates in a capstone project:

either working in small groups with industry partners, with researchers, or in start-ups;

or by undertaking a small research project supervised by an academic.Students with a computing or information technology Bachelor degree or Graduate Diploma may receive up to 48 units of credit allowing them to complete the program in less than the usual 2-year time frame.On completion of 48 units, students may exit with a Graduate Diploma of Computing.Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit.

Program Requirements

The Master of Computing requires the completion of 96 units, of which:

A minimum of 36 units must come from completion of 8000-level courses.

The 96 units must consist of:

30 units from completion of the following compulsory courses:

COMP6710 - Structured Programming

COMP6250 - Prof Prac 1

COMP6442 - Software Construction

COMP8110 - Sftwre Proj in Systems Context

COMP8260 - Prof Prac 2

6 units from one of the following foundational courses:

MATH6005 - Discrete Mathematics

COMP6260 - Foundations of Computing

6 units from one of the following software development courses:

COMP6120 - Software Engineering

COMP8190 - Software Development

6 units from one of the following database courses:

COMP6240 - Relational Databases

COMP6420 - Intro to Data and Security

6 units from one of the following computer networks courses:

COMP6331 - Computer Networks

COMP6340 - Networked Information Systems

12 units from one of the following project courses:

COMP8715 - Computing Project

COMP8755 - Individual Computing Project

COMP8830 - Computer Science Internship

Either:

30 units from completion of further courses from the subject area COMP Computer Science, or non-COMP courses included in specialisation lists.

Or:

6 units from completion of further courses from the subject area COMP Computer Science

24 units from completion of one of the following specialisations:

ARTIF-SPEC - Artificial Intelligence

MCHL-SPEC - Machine Learning

DTSC-SPEC - Data Science

HCSD-SPEC - Human Centred Design and Software Development

Unless otherwise stated, a course used to satisfy the requirements of one specialisation may not be double counted towards satisfying the requirements of another specialisation.

Specialisations

• Artificial Intelligence
• Data Science
• Human Centred Design and Software Development
• Machine Learning

Study Options

Year 1 - 48 units

Year 2 - 48 units

Admission Requirements

NOTE: Applications from international students for Semester 1, 2020 intake of this program are now closed

Admission requirements

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.

Applicants must present a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0

Or a Bachelor degree or international equivalent with a GPA of 4.0/7.0, with at least 3 years of relevant work experience.

In line with the university's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors.

Academic achievement & English language proficiency

The minimum academic requirement for full entry and enrolment is a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0 or 4.0/7.0 (as applicable).

However, applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes.

If required, ranking may further be confirmed on the basis of:

• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or

• demonstrating higher-level English language proficiency.

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

Diversity factors

As Australia’s national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe.

Assessment of qualifications

Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.

Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are. Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

1. Professionally apply systematic computing approaches to address complex, multi-disciplinary real-world computing problems in a variety of domains.
2. Synthesise and proficiently apply advanced, integrated technical knowledge from their specialisation and other elective areas of study and the underpinning sciences and computational methods.
3. Identify and critically evaluate current developments and emerging trends within their specialization and other elective areas of study.
4. Understand the contextual factors that influence professional computing practice, and identify the potential societal, ethical, and environmental impact of computing activities.
5. Communicate effectively with colleagues, other computing professionals and the broader community employing a range of communication media and tools.
6. Engage in independent investigation, critical reflection and lifelong learning to continue to practice at the forefront of the discipline.
7. Work effectively and proactively within cross-cultural, multi-disciplinary teams, demonstrating autonomy, ethical conduct, expert judgement, adaptability and responsibility to achieve computing outcomes at a high standard.