Master of Information Technology (coursework)

This course provides its graduates with the necessary knowledge and skills to explain and apply appropriate information technology (IT) methodologies to help an individual or organisation achieve its goals and objectives. Students also learn to appreciate the scientific foundations on which IT are built, and to anticipate the changing direction of IT and evaluate and communicate the effectiveness of new technologies.

Course overview

Course title
Master of Information Technology (coursework)
Award abbreviation
MIT
Course code
62510
Course type
master's degree by coursework only
Status
current / 2020
Administered by
Faculty of Engineering and Mathematical Sciences
CRICOS code
083866G

Course details

Intake periods
Beginning of year and mid-year
Attendance type
full-time only
Articulation
The Master of Information Technology has the following exit awards: 60220 Graduate Certificate in Information Technology (24 points) (24 points), 60320 Graduate Diploma in Information Technology (48 points) (48 points)
Credit points required
96
A standard full-time load is 24 points per semester.
Standard course duration
1.5 years full-time (or equivalent part-time) comprising 72 points of taught units and 24 points of admission credit, as recognised and granted by the Faculty
Maximum course duration
2 years full-time (or equivalent part-time) comprising up to 96 points of taught study (see Rule 5 for further information)
Professional accreditation
Master of Information Technology (coursework) is accredited by: Australian Computer Society (ACS).
Time limit
5 years
Delivery mode
internal
Locations offered
UWA (Perth)
Domestic fee type
Postgraduate fee-paying/FEE-HELP
Course Coordinator(s)
Dr Wei Liu
Fees
Visit the fees calculator.

Prospective students should see the Future Students website for details on admission requirements, intake periods, fees, availability to international students, careers information etc.

Course structure

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; N/A = not available in 2020

All units have a value of six points unless otherwise stated.

Note: Units that are indicated as N/A may be available in 2021 or 2022.

Note: Students are advised to refer to the recommended study guides available on the EMS website.

Students who have completed degree studies in a non-cognate area, or equivalent as recognised by the Faculty, must complete relevant conversion units up to the value of 24 points from this group, as advised by the Faculty.

Note: MATH1721 is recommended for students who have a basic maths background (at the level of Mathematics Applications ATAR or equivalent) or who wish to refresh their mathematical knowledge.
For students with Mathematics Methods ATAR or equivalent or above, this unit is not required.
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2CITS1001Software Engineering with Java
Prerequisites:
Mathematics Applications ATAR or MATH1720 Mathematics Fundamentals or equivalent or higher
Incompatibility:
CITS1200 Java Programming, CITS1220 Software Engineering
lectures: 2 hours per week; workshops: 1 hour per week; labs: 2 hours per week
S1, S2CITS1401Computational Thinking with Python
Prerequisites:
Mathematics Applications ATAR or WACE Mathematics 2C/2D or MATH1720 Mathematics Fundamentals or equivalent or higher
lectures: 2 hours per week; labs: 2 hours per week; workshop: 1 hour per week
S2CITS1402Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR or WACE Mathematics 2C/2D or MATH1720 Mathematics Fundamentals or equivalent or higher
Incompatibility:
CITS2232 Databases
lectures: 2 hours per week; labs: 2 hours per week
S1, S2MATH1721Mathematics Foundations: Methods
Prerequisites:
Mathematics Applications ATAR or MATH1720 Mathematics Fundamentals or Mathematics Methods ATAR (with a scaled score of less than 50) or equivalent .
Incompatibility:
WACE Mathematics: Specialist 3A/3B; MATH1038 Calculus and its Applications; MATH1045 Intermediate Calculus; Mathematics Specialist ATAR; MATH1001 Mathematical Methods 1; MATH1002 Mathematical Methods 2; MATH1011 Multivariable Calculus; MATH1012 Mathematical Theory and Methods; STAT1400 Statistics for Science; or STAT1520 Economics and Business Statistics.
lectures: 3 hours per week; workshop: 1 hour per week

Take all units (42 points):

AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1CITS4407Open Source Tools and Scripting
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 42630 Master of Business Analytics.
S2CITS5206Professional Computing
Prerequisites:
enrolment in the Master of Information Technology [62510] and 24 points of Level 4/Level 5 units
74 (lectures: 10 hours; project mentor sessions: 4 hours; project: 60 hours)
S1CITS5501Software Testing and Quality Assurance
Prerequisites:
Enrolment in 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) and completion of 12 points of programming-based units
Incompatibility:
CITS4220 Software Quality and Measurement
S2CITS5503Cloud Computing
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) or HON-CMSSE Computer Science and Software Engineering [Honours] or 42630 Master of Business Analytics and completion of 12 points of programming-based units
S1CITS5505Agile Web Development
Prerequisites:
Enrolment in the 62530 Master of Data Science or 62510 Master of Information Technology and completion of 6 points of programming-based units.
Incompatibility:
CITS4230 Internet Technologies, CITS3403 Agile Web Development (formerly CITS3403 Web and Internet Technologies)
lectures: 2 hours per week; labs: 2 hours per week
S2CITS5506The Internet of Things
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) and completion of 6 points of programming-based units
lectures: 2 hours per week; labs: 3 hours per week
S1, S2GENG5505Project Management and Engineering Practice
Prerequisites:
enrolment in the Master of Professional Engineering or the Master of Information Technology or the Master of Engineering in Oil and Gas or the Master of Data Science or the Master of Ocean Leadership or the Master of Renewable and Future Energy; for pre-2012 courses: (GENG1003 Introduction to Professional Engineering or ENSC1001 Global Challenges in Engineering) and completion of 96 points towards an Engineering degree
Incompatibility:
CIVL4150 Engineering Practice, ELEC4332 Project Engineering Practice, MECH4400 Engineering for Sustainable Development
lectures: 26 hours; practical classes: 13 hours

Students take units to the value of 18 points from this group::

Group A
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S2CITS4009Computational Data Analysis
Prerequisites:
enrolment in the Master of Data Science or Master of Information Technology or Master of Professional Engineering (Chemical Engineering specialsiation or Mining Engineering specialisation or Software Engineering specialisation) or Master of Renewable and Future Energy
lectures: 2 hours per week; labs: 2 hours per week
S1CITS4401Software Requirements and Design
Prerequisites:
enrolment in the Master of Information Technology or the Master of Professional Engineering (Software Engineering)
Incompatibility:
CITS2220 Software Engineering: Design and CITS3220 Software Requirements and Project Management
S1CITS4403Computational Modelling
Prerequisites:
Enrolment in 62530 Master of Data Science or 62550 Master of Professional Engineering (Software Engineering specialisation) or HON-CMSSE Computer Science and Software Engineering [Honours] and completion of 6 points of programming-based units.
Incompatibility:
CITS7211 Modelling Complex Systems
S2CITS4404Artificial Intelligence and Adaptive Systems
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) or (Electrical and Electronic Engineering specialisation) or HON-CMSSE Computer Science and Software Engineering [Honours] and completion of 12 points of programming-based units
Incompatibility:
CITS7212 Computational Intelligence
S1CITS5504Data Warehousing
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 42630 Master of Business Analytics and CITS1402 Relational Database Management Systems.
Incompatibility:
CITS4243 Advanced Databases, CITS3401 Data Warehousing and Data Mining (formerly CITS3401 Data Exploration and Mining)
lectures: 2 hours per week; labs: 2 hours per week
S2CITS5507High Performance Computing
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) and completion of 12 points of programming-based units
Incompatibility:
CITS3402 High Performance Computing, SHPC4002 High Performance Computing
S1CITS5508Machine Learning
Prerequisites:
Enrolment in 62530 Master of Data Science or 62510 Master of Information Technology or 62550 Master of Professional Engineering (Software Engineering specialisation) or the HON-CMSSE Computer Science and Software Engineering [Honours] or 42630 Master of Business Analytics and completion of 12 points of programming-based units.
lectures: 2 hours per week; labs: 2 hours per week for 11 weeks from week 2

Students take units to the value of 12 points from this group::

Group B
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2ENVT4411Geographic Information Systems Applications
The total workload for the unit is 150 hours.
S1, S2GENG5507Risk, Reliability and Safety
Prerequisites:
enrolment in the Master of Professional Engineering or the Master of Business and Engineering Asset Management or the Master of Information Technology or the Master of Engineering in Oil and Gas or the Master of Renewable and Future Energy; for pre-2012 courses: MATH1010 Calculus and Linear Algebra or MATH1020 Calculus, Statistics and Probability or MATH1001 Mathematical Methods 1 or equivalent. This unit is also available to students in the Master of Ocean Leadership with the approval of the course coordinator and completion of an undergraduate major in Engineering Science or equivalent.
lectures: 2 hour per week; practical classes: 1 hour per week; workshops: 3 hours per week
N/AGENG5508Robotics
Prerequisites:
enrolment in the Master of Professional Engineering (Electrical and Electronic Engineering specialisation, Mechanical Engineering specialisation or Software Engineering specialisation) or enrolment in the Master of Information Technology; for pre-2012 courses: none
Incompatibility:
ELEC4314 Robotics and Automation
lectures and laboratories
S1INMT5518Models for Logistics, Operations and Services
Prerequisites:
For students enrolled in the Masters of Business Analytics: BUSN5002 Fundamentals of Business Analytics
lectures/seminars/workshops: up to 3 hours per week
S2INMT5526Business Intelligence
Prerequisites:
For Master of Business Analytics students: BUSN5101 Programming for Business
lectures/seminars/workshops: up to 3 hours per week
S1, S2MGMT5504Data Analysis and Decision Making
Incompatibility:
MGMT5513 Data Driven Decision Making
lectures/seminars/workshops: up to 3 hours per week
Example 1
Course Study Plan: PSP-62510-1
Example 2
Course Study Plan: PSP-62510-2

See also the rules for the course and the Student Rules.

Rules

Applicability of the Student Rules, policies and procedures

1.(1) The http://handbooks.uwa.edu.au/postgraduate/student-procedures'>student procedures apply, except as otherwise indicated in the rules for this course.

Academic Conduct Essentials module

2.(1) Except as stated in (2), a student who enrols in this course for the first time irrespective of whether they have previously been enrolled in another course of the University, must undertake the Academic Conduct Essentials module (the ACE module).

(2) A student who has previously achieved a result of Ungraded Pass (UP) for the ACE module is not required to repeat the module.

English Language competency requirements

3. To be considered eligible for consideration for admission to this course an applicant must satisfy the University's English language competence requirement as set out in the University Policy on Admission: Coursework.

Admission requirements

4. To be considered for admission to this course an applicant must have—

(a) a bachelor's degree, or an equivalent qualification, as recognised by UWA;

and

(b) the equivalent of a UWA weighted average mark of at least 65 per cent;

and

(c) completed Mathematics Applications ATAR, or equivalent, as recognised by UWA.

Admission ranking and selection

5. Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.

Articulations and exit awards

6.(1) This course has the following exit awards:

  • 60220 Graduate Certificate in Information Technology (24 points)
  • 60320 Graduate Diploma in Information Technology (48 points)

(2) A student who withdraws from the Master of Information Technology course before completing it, but after completing Level 4 and Level 5 units to the value of 24 points, may apply to the Faculty to be awarded the Graduate Certificate in Information Technology.

(3) A student who withdraws from the Master of Information Technology course before completing it, but after completing Level 4 and Level 5 units to the value of 48 points, may apply to the Faculty to be awarded the Graduate Diploma in Information Technology.

Course structure

7.(1) The course consists of units to a total value of 96 points (maximum value) which include conversion units to a value of 24 points.

(2) Units must be selected in accordance with the course structure, as set out in these rules.

(3) Students who have completed a bachelor's degree with a major in a cognate area, or equivalent as recognised by the Faculty are granted credit for conversion units up to a value of 24 points.

Satisfactory progress

8. To make satisfactory progress in a calendar year a student must pass units to a value of at least half the total value of units in which they remain enrolled after the final date for withdrawal without academic penalty.

9. A student who has not achieved a result of Ungraded Pass (UP) for the ACE module when their progress status is assessed will not have made satisfactory progress even if they have met the other requirements for satisfactory progress in Rule 8.

Progress status

10.(1) A student who makes satisfactory progress under Rule 8 is assigned the status of 'Good Standing'.

(2) Unless the Faculty determines otherwise because of exceptional circumstances—

(a) a student who does not make satisfactory progress for the first time under Rule 8 is assigned a progress status of 'On Probation';

(b) a student who does not make satisfactory progress for the second time under Rule 8 is assigned a progress status of 'Suspended';

(c) a student who does not make satisfactory progress for the third time under Rule 8 is assigned a progress status of 'Excluded'.

11. A student who does not make satisfactory progress in terms of Rule 9 is assigned the progress status of 'On Probation', unless they have been assigned a progress status of 'Suspended' or 'Excluded' for failure to meet other satisfactory progress requirements in Rule 8.

Award with distinction

12. To be awarded the degree with distinction a student must achieve a course weighted average mark (WAM) of at least 80 per cent which is calculated based on—

(a) all units above Level 3 attempted as part of the course that are awarded a final percentage mark;

(b) all relevant units above Level 3 undertaken in articulating courses of this University that are awarded a final percentage mark;

and

(c) all units above Level 3 completed at this University that are credited to the master's degree course.