Graduate Diploma in Statistics

Postgraduate

Mode

On campus

Campus

Adelaide City Campus, Mawson Lakes

Duration

1 year(s) full-time

Program code

GDSTA

Study as

Full time or part time

Indicative annual fees

$36,300

Non-tuition fees

Assumed knowledge

Preparation for first year university mathematics.

Entry requirements

Admission criteria

To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfill any prerequisite and essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive with ranks based on the entry criteria.

A completed bachelor (AQF level 7) or bachelor honours (AQF level 8) degree or equivalent from a recognised higher education institution

Assumed knowledge: Preparation for first year mathematics, equivalent to MATH1000 Foundations in Mathematics.

Note:

This program is not currently accepting applications.

Degree Structure: Graduate Diploma in Statistics

Program code: GDSTA

Complete 48 units comprising:

48 units for Core courses

Study plan

A study plan sets out the courses you will need to complete and the recommended timing for each one. This will help to guide your enrolment in each study period, alongside any additional information provided below. If you have received a personalised plan or alternative advice from your Program Director, please refer to that guidance in the first instance, or seek help from your Program Director or Student Assist if you are unsure.

Choose your course type

Year 1

Semester 1

Units 6

MATHX314 | Data Visualisation (6 units) ¹

Course type

1 Core courses - Program core

Units 6

MATH5016 | Calculus for Statisticians (6 units) ¹

Course type

1 Core courses - Program core

Units 6

MATHX106 | Critical Evaluation in Data Science (6 units) ¹

Course type

1 Core courses - Program core

Units 6

STATX100 | Probability and Statistics (6 units) ¹

Course type

1 Core courses - Program core

Semester 2

Units 6

MATHX104 | Linear Algebra (6 units) ¹

Course type

1 Core courses - Program core

Units 6

STATX500 | Design of Experiments (6 units) ¹

Course type

1 Core courses - Program core

Units 6

STATX290 | Statistical Practice (6 units) ¹

Course type

1 Core courses - Program core

Units 6

MATH5111 | Probability and Statistical Theory (6 units) ¹

Course type

1 Core courses - Program core

Enrolment information

Find details about the rules and notes that apply to your program, along with other essential information required for successful enrolment. Supplementary supporting resources may also be provided where applicable.

Some programs include additional enrolment advice. If available for your program, it will be displayed here.

Courses

Listed here are all the courses that contribute to your program, including elective options that can be chosen. These courses come together to form your study plan. Courses fall into different categories, each of which have specific unit values that need to be met under the program rules.

What courses you'll study

Complete 48 units comprising:

48 units for Core courses

Complete 48 units comprising:

48 units for all Program core

	Course code	Units
Course name Calculus for Statisticians	Course code MATH5016	Units 6
Course name Probability and Statistical Theory	Course code MATH5111	Units 6
Course name Linear Algebra	Course code MATHX104	Units 6
Course name Critical Evaluation in Data Science	Course code MATHX106	Units 6
Course name Data Visualisation	Course code MATHX314	Units 6
Course name Probability and Statistics	Course code STATX100	Units 6
Course name Statistical Practice	Course code STATX290	Units 6
Course name Design of Experiments	Course code STATX500	Units 6