MASTERS STATISTICS THESIS A

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Overview

The Master of Statistical Science thesis is a minor thesis written during the second year of the Master of Statistical Science. In this thesis, the student demonstrates at least one of the following: (a) an understanding of a statistical research problem, (b) the numerical solution of a statistical research problem, (c) carries out research in statistics leading to new results or (d) gains experience in analysing real-life data. The code for this thesis is split into two parts: STA5THA (which is taken in the first semester of this second year) and STA5THB (which is taken in the second semester of this second year). STA5THA is allocated 15 credit points and STATHB is allocated 30 credit points, resulting in a total of 45 credit points for the thesis.

Portfolio

Office of the Provost

School

Subject coordinator

Andriy Olenko

Subject type

Postgraduate

Year level

Year Level 5 - Masters

AQF level

Level 9 - Masters Degree

Available as elective

Available to study abroad / exchange students

Yes

Capstone subject
Capstones provide students with a way of integrating and applying knowledge and skills gained throughout their course.

Academic progress review - Schedule A subject

Subject instances

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Career ready

Work based learning (placement):No

Graduate capabilities

COMMUNICATION - Communicating and Influencing

COMMUNICATION - Digital Capability

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

PERSONAL AND PROFESSIONAL - Adaptability and Self-Management

Subject intended learning outcomes

On successful completion you will be able to:

Demonstrate specialised theoretical and technical knowledge of the topic of the thesis.

Use specialised cognitive and technical skills to critically analyse, reflect on and synthesise complex information, problems, concepts and theories relevant to the topic.

Apply established theories and research methods to a body of knowledge relevant to the topic of the thesis.

Use advanced communication skills to transmit knowledge and ideas of statistics to others.

Demonstrate autonomy, expert judgement, adaptability and responsibility as a researcher.

Requisite rules

Prerequisites: Requires coordinators approval