Program Overview

Graduate Diploma in Data Science and Analytics

The Graduate Diploma in Data Science and Analytics is an AQF level 8 program offered as an exit award from the 1.5 year Master of Data Science.

Description

The Graduate Diploma in Data Science and Analytics is an AQF level 8 program offered as an exit award from the 1.5 year Master of Data Science.

Program Learning Outcomes

Upon completion of this program, graduates will have:

• Specialised knowledge of statistical and computational techniques and proficiency in their application for analysing and interpreting data sets
• Analytical problem solving to support data management and data-orientated decisions
• Specialised skills to use contemporary Big Data technologies
• Effective independent and collaborative work skills to apply specialised knowledge and expert judgement to data science

Admission Requirements

This program does not accept applications for admission. The Graduate Diploma in Data Science and Analytics is an exit award.

English Language Requirements

• Overall minimum: 6.5
• Sub test minimum: 6 All Applicants must demonstrate that they meet the University's English proficiency requirement.

Program Requirements

To be awarded the Graduate Diploma in Data Science and Analytics, students must successfully complete 80 units comprised of:

• 40 units of Core courses
• 30 units of courses chosen from the Course List
• 10 units of Electives (can be at 3000, 4000 or 6000 level)

Program Structure

Core

Complete the following core courses to fulfil the requirements of this program.

• COMP6140: Databases and Information Management (10 units)
• INFT6201: Big Data (10 units)
• STAT6001: Data Wrangling and Visualisation (10 units)
• STAT6020: Predictive Analytics (10 units)

Course List A

Choose 10 units from the following course list.

• STAT6160: Data Analytics for Business Intelligence (10 units)
• STAT6170: The Science of Data Interrogation (10 units)

Course List B

Choose 20 units from the following course list.

• BIOS6061: Clinical Trial Design (10 units)
• BIOS6070: Linear Regression Modelling (10 units)
• BIOS6170: Probability and Biostatistical Inference (10 units)
• BIOS6940: Generalised Linear Models (10 units)
• BIOS6990: Applied Longitudinal Analysis (10 units)
• COMP6230: Algorithms (10 units)
• COMP6340: Data Mining (10 units)
• COMP6350: Advanced Database (10 units)
• COMP6380: Machine Intelligence (10 units)
• EPID6420: Fundamentals of Epidemiology (10 units)
• EPID6430: Advanced Epidemiology (10 units)
• INFT6009: Cloud Computing and Mobile Applications for the Enterprise (10 units)
• INFT6304: Project Planning and Management (10 units)
• INFT6800: Professional Practice in IT (10 units)
• INFT6900: Information Technology Project (20 units)
• SENG6051: Web Technologies (10 units)
• SENG6110: Object Oriented Programming (10 units)
• SENG6120: Data Structures (10 units)

Electives

Complete 10 units of electives (any 3000, 4000 or 6000 level courses) to fulfil the requirements of the program.

Transition Arrangements

From 2021 BIOS6050 and BIOS6150 were removed from the list of Group B Directed Courses. Students who commenced the Master of Data Science prior to 2021 and have completed BIOS6050 and/or BIOS6150 are permitted to count them as Group B Directed Courses for the Graduate Diploma in Data Science and Analytics.

AQF Level

The Graduate Diploma in Data Science and Analytics is a Level 8 Graduate Diploma.

Additional Handbook Information

All students can access free academic skills and support provided by Academic Learning Support through the Pathways and Academic Learning Support Centre. Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through the Wollotuka Institute.

Program Details

• Type: Single Program
• Study Level: Postgraduate Coursework
• Program Schedule: Graduate Diploma
• AQF Level: Level 8 Graduate Diploma
• Units to Complete: 80
• College: College of Engineering Science and Environment
• Full-time Duration (Years): 1
• Max Time to Complete (Years): 4
• Term Type: Semesters and Trimesters
• Locations of Offer: Online