Faculty of Engineering

Graduate Diploma in Information Technology (2018)


Note: This course version applies only to students first enrolling in 2018.
WARNING: This course version is currently under review and is subject to change.


1. Overview

Course: Graduate Diploma in Information Technology (2018)
CP Required: 48
Min FT Duration: 1.00 Years
Min PT Duration: N/A
Faculty/School: Faculty of Engineering
Years Offered: 2020, 2019, 2018, 2017, 2016, 2015

2. Requirements

1. Candidates for the Graduate Diploma in Information Technology must complete a total of 48 credit points from the listed units of study including INFO5990.

2. Candidates may complete a maximum of 12 credit points from the listed Foundation Units.

3. A maximum of 6 credit points can be chosen from units offered outside the School of IT. (different unit codes than COMP, INFO or ISYS).

4. Enrolment in the Graduate Diploma may be either part-time or full-time with a maximum completion time of four years and minimum time of one year.

For further details of course rules, see Faculty Handbook http://sydney.edu.au/handbooks

3. Semesters

Year 1 - Semester 1

Type CP CP From
Core
6 INFO5990: Professional Practice in IT
List
18 Select from Unit Blocks:
Other MIT Core Units
Specialist Units
Foundation Units

Year 1 - Semester 2

Type CP CP From
List
24 Select from Unit Blocks:
Other MIT Core Units
Specialist Units

Note: The tables above assume completion in a single year with a full-time load (24 credit points) in both first and second semester.

Candidates for the Graduate Diploma in Information Technology must take INFO5990 plus another 42 credit points from the Core, Specialist or Foundation units below. INFO5990 can be taken in either semester 1 or 2.

Candidates articulating to the Master of Information Technology may keep in mind that the masters degree requires INFO5990, INFO6007 and INFO5992.

Students should review the Master of Information Technology programs in planning their Graduate Diploma enrolment and seek academic advice on the best subjects to choose.

4. Pathways

No streams/majors defined for this course version.

5. Unit Blocks

Block 1 - Other MIT Core Units (Max CP: 12)

Unit Code Unit Name CP Sessions Offered
INFO5992 Understanding IT Innovations 6 Semester 1
Semester 2
INFO6007 Project Management in IT 6 Semester 1
Semester 2

Note: Candidates articulating to the Master of Information Technology may keep in mind that the Master degree requires INFO5990, INFO6007 and INFO5992.

Block 2 - Specialist Units (Min CP: 12,Max CP: 42)

Unit Code Unit Name CP Sessions Offered
CISS6022 Cybersecurity 6 Semester 2
COMP5045 Computational Geometry 6 Semester 1
COMP5046 Natural Language Processing 6 Semester 1
COMP5047 Pervasive Computing 6 Semester 2
COMP5048 Visual Analytics 6 Semester 2
COMP5206 Information Technologies and Systems 6 Semester 1
Semester 2
COMP5216 Mobile Computing 6 Semester 2
COMP5313 Large Scale Networks 6 Semester 1
COMP5318 Machine Learning and Data Mining 6 Semester 1
Semester 2
COMP5338 Advanced Data Models 6 Semester 2
COMP5347 Web Application Development 6 Semester 1
COMP5348 Enterprise Scale Software Architecture 6 Semester 1
COMP5349 Cloud Computing 6 Semester 1
COMP5405 Digital Media Computing 6 Semester 1
COMP5415 Multimedia Design and Authoring 6 Semester 2
COMP5416 Advanced Network Technologies 6 Semester 2
COMP5424 Information Technology in Biomedicine 6 Semester 1
COMP5425 Multimedia Retrieval 6 Semester 1
COMP5426 Parallel and Distributed Computing 6 Semester 1
COMP5427 Usability Engineering 6 Semester 2
COMP5456 Introduction to Bioinformatics [not running] 6 Semester 2
COMP5617 Empirical Security Analysis and Engineering 6 Semester 2
COMP5618 Applied Cybersecurity 6 Semester 2
DATA5207 Data Analysis in the Social Sciences 6 Semester 1
Summer Main
Int December
ELEC5509 Mobile Networks 6 Semester 1
ELEC5514 Networked Embedded Systems 6 Semester 2
ELEC5517 Software Defined Networks 6 Semester 2
ELEC5614 Real Time Computing 6 Semester 1
ELEC5616 Computer and Network Security 6 Semester 1
ELEC5618 Software Quality Engineering 6 Semester 1
ELEC5619 Object Oriented Application Frameworks 6 Semester 2
ELEC5620 Model Based Software Engineering 6 Semester 2
ELEC5622 Signals, Software and Health 6 Semester 2
HSBH5003 eHealth for Health Professional 6 Semester 1
IDEA9106 Design Thinking 6 Semester 1
Semester 2
INFO5010 IT Advanced Topic A 6 Semester 1
Semester 2
INFO5011 IT Advanced Topic B 6 Semester 1
Semester 2
INFO5060 Data Analytics and Business Intelligence 6 Summer Main
INFO5301 Information Security Management 6 Semester 1
Semester 2
INFO5306 Enterprise Healthcare Information Systems 6 Semester 2
PUBH5010 Epidemiology Methods and Uses 6 Semester 1
STAT5003 Computational Statistical Methods 6 Semester 2

Note: Candidates may complete a minimum of 12 credit points from the listed Specialist Units.

A maximum of 6 credit points may be selected with the approval of the Program Director, from units outside the School of IT (different unit codes than COMP, INFO or ISYS).

Block 3 - Foundation Units (Max CP: 12)

Unit Code Unit Name CP Sessions Offered
COMP9007 Algorithms 6 Semester 1
Semester 2
S1 Intensive
COMP9103 Software Development in Java 6 Semester 1
Semester 2
COMP9110 System Analysis and Modelling 6 Semester 1
Semester 2
COMP9120 Database Management Systems 6 Semester 1
Semester 2
COMP9121 Design of Networks & Distributed Systems 6 Semester 2
COMP9201 Software Construction and Design 1 6 Semester 2
COMP9419 Digital Media Fundamentals 6 Semester 1
COMP9601 Computer and Network Organisation 6 Semester 1
INFO9003 Information Technology for Health Professionals 6 Semester 2 Block Mode
INFO9117 Intro to Software Engineering Practice [not offered in 2019] 6 Semester 1
Semester 2
PUBH5018 Introductory Biostatistics 6 Semester 1
STAT5002 Introduction to Statistics 6 Semester 1
Semester 2

Note: Candidates may complete a maximum of 12 credit points from the listed Foundation Units.

Only one of the two units INFO9201 or INFO9110 can be taken.

Please note that some of these Foundation Units are co-taught with the corresponding undergraduate lectures of the School of Information Technologies.