Graduate Diploma in Data Science and Analytics (Exit Award)
Postgraduate program
1 year full-time or part-time equivalent up to 4 years maximum.
Program handbook
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
On successful completion of the program students 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.
Details
| Information correct as at | 19 Jun 2021 1:28 am |
|---|---|
| Program code | 40195 |
| AQF level | Level 8 Graduate Diploma |
| Locations and UAC codes | |
| Mode of delivery |
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| Duration |
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| Term type | Semesters and Trimesters |
| Fees |
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| Relevant University rules and policies |
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Admission information
Admission requirements
The Graduate Diploma in Data Science and Analytics is an exit award only. The pathway to entry is via the Master of Data Science.
Minimum English language proficiency requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.
Credit transfer
If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.
Academic requirements for program completion
Total units required
80 units
Program duration
1 year full-time or part-time equivalent up to 4 years maximum.
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 Directed courses
- 10 units of Electives (can be at 3000, 4000 or 6000 level)
Transition arrangements
2021 Revision
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.
Program structure
Students are advised to read their program handbook information in conjunction with the program plans for course sequence/enrolment advice. Please refer to the Program Plan for the year that you commenced, or transitioned into, this program - Program Plans are available above.
Advanced course filters
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Core Courses
Complete the following core courses. | |||
| Code | Title | Term / Location | Units |
|---|---|---|---|
| COMP6140 | Databases and Information Management |
| 10 units |
| INFT6201 | Big Data |
| 10 units |
| STAT6001 | Data Wrangling and Visualisation |
| 10 units |
| STAT6020 | Predictive Analytics |
| 10 units |
Group A Directed Courses
Complete 10 units from the following directed courses. | |||
| Code | Title | Term / Location | Units |
|---|---|---|---|
| STAT6160 | Data Analytics for Business Intelligence |
| 10 units |
| STAT6170 | The Science of Data Interrogation |
| 10 units |
Group B Directed Courses
Complete 20 units from the following directed courses. | |||
| Code | Title | Term / Location | Units |
|---|---|---|---|
| BIOS6061 | Clinical Trial Design |
| 10 units |
| BIOS6070 | Linear Regression Modelling |
| 10 units |
| BIOS6170 | Foundations of Probability Theory |
| 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 |
| PUBH6303 | Applied Research |
| 10 units |
| SENG6051 | Web Technologies |
| 10 units |
| SENG6110 | Object Oriented Programming |
| 10 units |
| SENG6120 | Data Structures |
| 10 units |
Electives
Complete 10 units of electives to fulfil the requirements of the program. Electives can be used to extend and complement your core studies with more courses in the same field of study, or from areas that might be of interest to you. Electives can be chosen from all courses available at the University that do not have any other conditions (such as a course requisite) applied to them. | 10 units |
Additional information
Through the Pathways and Academic Learning Support Centre, students can access a free suite of NUPrep preparation courses as well as Academic Learning Support.
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.
International students
All International Students enrolled in the program will be provided with an orientation to familiarise them with the rules, expectations, facilities and services offered by the University. Please visit our International Students website to find out more about the support services available to international students.
Additional support
AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester. They will work with the Faculty or School to ensure that this happens in a timely manner.
Please note: All students must fulfil the inherent requirements of the programs and courses they are undertaking. While reasonable adjustments can be made, these adjustments cannot compromise academic integrity. It is the student's responsibility to check all the requirements of courses, and consider the effects of any medical condition or disability on their ability to complete course requirements. More information is available online.
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