Master of Information Technology (MC-IT150)
Masters (Coursework)Year: 2017 Delivered: On Campus
About this course
Coordinator
A/Prof Egemen Tanin
Email: etanin@unimelb.edu.au
Contact
Melbourne School of Engineering
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact Stop 1
Future students:
- Further information: Course webpage
- Email: Enquiry form
Overview
Award title | Master of Information Technology |
---|---|
Year & campus | 2017 |
CRICOS code | 077766F |
Fees information | Subject EFTSL, level, discipline and census date |
Study level & type | Graduate Coursework |
AQF level | 9 |
Credit points | 150 credit points |
Duration | 18 months full-time or 36 months part-time |
There is no further entry into this course. You will be able to be admitted into the MC-IT150, via the MC-IT program.
Please refer to MC-IT (200 points).
The Master of Information Technology (MIT) is a 150-point program for those interested in a career in technical IT.
The key aspects of the course are:
- Specialisations in key areas of Information Technology, namely:
-
- Computing: a focus on theoretical and applied computing, as applied to a range of application areas;
- Distributed Computing: a focus on the use of industry standard and Internet-based distributed computing technologies in the development of networked enterprise systems and their applications;
- Health: a focus on the use of IT to process health information for purposes including improved individual health, healthcare, public health and biomedical research, prevention of medical errors and reduced healthcare costs.
- Spatial: a focus on the spatial information technology and computing, including web-based and mobile services, to advance spatial information products and markets, including mapping, navigation, tracking and community-sourced geographic information.
- Formal studies in project and change management, including risk management, quality assurance and testing.
- Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
A 25-point project, qualifying students to advance to a PhD
Entry requirements
There is no further entry into this course. Please refer to MC-IT (200 points). Last intake year was 2014.
A three-year undergraduate degree with a major in Computer Science, Information Technology, Software Engineering or related discipline, with a final year grade average of at least an H3 (65).
Quotas may be applied and preference may be given to applicants with evidence of appropriate preparation or potential to undertake research. Entry is subject to the capacity of the department to provide adequate project supervision
English Requirement
All students studying at the University of Melbourne must satisfy the University's English language entry requirements in accordance with Selection Principles: Regulation 11.1.A2 – Admission and Selection to Courses.
http://futurestudents.unimelb.edu.au/admissions/entry-requirements/language-requirements
For graduate students the University's English language entry requirements are set out at:
http://futurestudents.unimelb.edu.au/admissions/entry-requirements/language-requirements/graduate-toefl-ielts
The University of Melbourne English Language Bridging Program (UMELBP)
The UMELBP provides a direct English language pathway from Hawthorn-Melbourne to specific courses at the University of Melbourne. Students who have achieved an IELTS band 0.5 lower than their University of Melbourne course entry requirement may be able to proceed directly to their University studies upon successful completion of the UMELBP. More information is available from the Hawthorn Melbourne website.
http://www.hawthornenglish.com/
The Melbourne School of Engineering's English Language alternative may affect the duration and cost of your course
http://www.eng.unimelb.edu.au/study/english-requirements.html.
Inherent requirements (core participation requirements)
The Master of Information Technology 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 Information Technology requires all students to enrol in subjects where they will require:
- The ability to comprehend complex theory and technology-related information
- The ability to clearly and independently communicate a knowledge and application of theory, and technology principles and practices during assessment tasks
- The ability to actively and safely contribute in IT development and management activities
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 the Disability Liaison Unit: http://www.services.unimelb.edu.au/disability/
Professional accreditation
Provisionally accredited by the Australian Computer Society. Full accreditation will be granted when the first cohort of students graduate.
Intended learning outcomes
On completion of this course students should have:
- Expertise in a key area of information technology
- Analytical skills and competencies in problem solving
- A sound fundamental understanding of the principles and methods of information technology
- Demonstrable competencies in the educational and professional standards of the professional institutions and boards with which the course is accredited
- A broad knowledge base of information technology so as to facilitate effective communication with those involved in the IT industry
- Have acquired the computational skills necessary to solve theoretical and practical problems for further professional development and for meeting future changes in IT
- Verbal and written communication skills that enable them to make a meaningful contribution to changing face of the IT industry
- Professional ethics and responsibility towards the IT profession and the broader community
Generic skills
Graduates will:
- Have the ability to demonstrate advanced independent critical enquiry, analysis and reflection
- Have a strong sense of intellectual integrity and the ethics of scholarship
- Have in-depth knowledge of their specialist area
- Reach a high level of achievement in writing, research or project activities, problem-solving and communication
- Be critical and creative thinkers, with an aptitude for continued self-directed learning
- Be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines
- Have a set of flexible and transferable skills for different types of employment; and
- Be able to initiate and implement constructive change in their communities, including professions and workplaces
Graduate attributes
Graduates have a specialisation in computing, distributed computing, health IT or spatial IT, as well as a solid foundation in programming, algorithms, complexity, network programming, and database systems, project management, and advanced information technology. Elective subjects are available in areas as diverse as bioinformatics, database systems, enterprise computing, geomatics, information systems, machine intelligence, programming languages, project and change management, security, and software engineering.
Course structure
Students must complete 150 points, made up of 50 points of Specialisation Subjects and 100 points of Advanced Specialisation Subjects (both based on the specialisation the student is enrolled in).
Subject options
Computing Specialisation
Specialisation Subjects -Computing Specialisation
25 points core:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
25 points from:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90042 | Web Search and Text Analysis | 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 |
COMP90048 | Declarative Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90051 | Statistical Machine Learning | Semester 2 (On Campus - Parkville) |
12.5 |
ISYS90039 | Innovation & Entrepreneurship in IT | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90002 | Engineering for Internet Applications | Not available in 2017 | 12.5 |
Students may substitue 12.5 points with one of the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
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 |
Subject to the approval of the course coordinator, students may also take Computing - related subjects from other departments within the University.
Advanced Specialisation Subjects -Computing Specialisation:
37.5 points core
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90055 | Computing Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
SWEN90016 | Software Processes and Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
62.5 points elective
Students must take 62.5 points from the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90082 | Industry Based IT Experience Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90050 | Advanced Database Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90051 | Statistical Machine Learning | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90045 | Programming Language Implementation | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90053 | Program Analysis and Transformation | Not available in 2017 | 12.5 |
COMP90046 | Constraint Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2017 | 12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (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 |
ENGR90033 | Internship |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
COMP90056 | Stream Computing and Applications | Semester 2 (On Campus - Parkville) |
12.5 |
Students may also select from the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
MCEN90031 | Applied High Performance Computing | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90004 | Modelling Complex Software Systems | Semester 1 (On Campus - Parkville) |
12.5 |
Subject to the approval of the course coordinator, students may also take Computing-related subjects from other departments within the University.
Distributed Computing
Specialisation Subjects -Distributed Computing Specialisation
12.5 points core
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Students must take 37.5 points from among the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90048 | Declarative Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90042 | Web Search and Text Analysis | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90051 | Statistical Machine Learning | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90045 | Programming Language Implementation | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90053 | Program Analysis and Transformation | Not available in 2017 | 12.5 |
COMP90046 | Constraint Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90054 | AI Planning for Autonomy | Semester 2 (On Campus - Parkville) |
12.5 |
ISYS90039 | Innovation & Entrepreneurship in IT | Semester 2 (On Campus - Parkville) |
12.5 |
Note:Subject to the approval of the course coordinator, students may also take Distributed Computing-related subjects from other departments within the University
Advanced Specialisation Subjects -Distributed Computing Specialisation
37.5 points core:
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90050 | IT Project and Change Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90019 | Distributed Computing Project |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
Students must take 62.5 points from among the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN90002 | Engineering for Internet Applications | Not available in 2017 | 12.5 |
COMP90024 | Cluster and Cloud Computing | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2017 | 12.5 |
COMP90020 | Distributed Algorithms | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
MCEN90031 | Applied High Performance Computing | Semester 2 (On Campus - Parkville) |
12.5 |
ISYS90082 | Industry Based IT Experience Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90050 | Advanced Database Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90057 | Advanced Theoretical Computer Science | 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 |
Note:Subject to the approval of the course coordinator, students may also take Distributed Computing-related subjects from other departments within the University.
Health Specialisation
Specialisation Subjects -Health Specialisation:
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90069 | eHealth & Biomedical Informatics Systems | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90078 | Health Data, Information and Knowledge | Semester 2 (On Campus - Parkville) |
12.5 |
INFO90001 | eHealth & Biomedical Informatics Methods | Semester 2 (On Campus - Parkville) |
12.5 |
AND
Students must take 12.5 points from among the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO30005 | Web Information Technologies | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90036 | Enterprise Systems | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90039 | Innovation & Entrepreneurship in IT | Semester 2 (On Campus - Parkville) |
12.5 |
SWEN90002 | Engineering for Internet Applications | Not available in 2017 | 12.5 |
COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90026 | Fundamentals of Information Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Subject to the approval of the course coordinator, students may also take Health IT-related subjects from other departments within the University
Advanced Specialisation Subjects -Health Specialisation:
62.5 points core
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90050 | IT Project and Change Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90077 | EHealth Applications and Solutions | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90079 | Health IT Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
ISYS90076 | IT Infrastructure for eHealth | Semester 1 (On Campus - Parkville) |
12.5 |
Students must take 37.5 points from among the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90035 | Knowledge Management Systems | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90082 | Industry Based IT Experience Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2017 | 12.5 |
SINF90004 | |||
COMP90057 | Advanced Theoretical Computer Science | 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 |
Note: Subject to the approval of the course coordinator, students may also take Health IT-related subjects from other departments within the University
Spatial Specialisation
Specialisation Subjects -Spatial Specialisation
Code | Name | Study period | Credit Points |
---|---|---|---|
GEOM90008 | Foundations of Spatial Information |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
GEOM90015 | Spatial Data Infrastructure | July (On Campus - Parkville) |
12.5 |
GEOM90018 | Spatial Databases | Semester 1 (On Campus - Parkville) |
12.5 |
In addition, students must complete 12.5 points, in the form of:
Code | Name | Study period | Credit Points |
---|---|---|---|
GEOM90042 | Spatial Information Programming | Semester 1 (On Campus - Parkville) |
12.5 |
OR
one of the following subjects with the approval of the course coordinator:
Code | Name | Study period | Credit Points |
---|---|---|---|
SWEN90002 | Engineering for Internet Applications | Not available in 2017 | 12.5 |
COMP90015 | Distributed Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90049 | Knowledge Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90050 | Advanced Database Systems | Semester 1 (On Campus - Parkville) |
12.5 |
COMP90017 | Sensor Networks and Applications | Not available in 2017 | 12.5 |
ISYS90039 | Innovation & Entrepreneurship in IT | Semester 2 (On Campus - Parkville) |
12.5 |
ISYS90026 | Fundamentals of Information Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
ISYS90035 | Knowledge Management Systems | Semester 1 (On Campus - Parkville) |
12.5 |
ISYS90032 | Emerging Technologies and Issues |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
SINF90004 | |||
CVEN90048 | Transport Systems | Semester 2 (On Campus - Parkville) |
12.5 |
CVEN90043 | Sustainable Infrastructure Engineering | Semester 1 (On Campus - Parkville) |
12.5 |
ENEN90032 | Environmental Analysis Tools | Semester 2 (On Campus - Parkville) |
12.5 |
ENEN90031 | Quantitative Environmental Modelling | Semester 1 (On Campus - Parkville) |
12.5 |
ENEN90028 | Monitoring Environmental Impacts | Semester 2 (On Campus - Parkville) |
12.5 |
Advanced Specialisation Subjects -Spatial Specialisation:
62.5 points core
Code | Name | Study period | Credit Points |
---|---|---|---|
ISYS90050 | IT Project and Change Management |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
GEOM90006 | Spatial Analysis | Semester 2 (On Campus - Parkville) |
12.5 |
GEOM90043 | Spatial IT Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
GEOM90007 | Spatial Visualisation | Semester 2 (On Campus - Parkville) |
12.5 |
In addition, students must complete 37.5 points from the following subjects:
Code | Name | Study period | Credit Points |
---|---|---|---|
GEOM90040 | Mathematics of Spatial Information | Semester 2 (On Campus - Parkville) |
12.5 |
GEOM90033 | Satellite Positioning Systems | Semester 2 (On Campus - Parkville) |
12.5 |
GEOM90005 | Remote Sensing | Semester 2 (On Campus - Parkville) |
12.5 |
GEOM90016 | Advanced Topics in GIScience | Semester 1 (On Campus - Parkville) |
12.5 |
GEOM90017 | Spatial Industry Internship | Not available in 2017 | 12.5 |
ISYS90082 | Industry Based IT Experience Project |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90057 | Advanced Theoretical Computer Science | 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 |
* Subject to the approval of the course coordinator, students may supplement this list with other advanced Spatial-related subjects from within the University
Note: Credit may not be obtained for both GEOM90017 and ENGR90033.
Further study
Graduates may progress to a wide range of other graduate coursework degrees as well as research higher degree programs, including the Doctor of Philosophy.
Last updated: 21 February 2025