MASTERS STATISTICS THESIS A

STA5THA

2020

Credit points: 15

Subject outline

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.

School: Engineering and Mathematical Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Andriy Olenko

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Requires coordinators approval

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

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

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

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

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

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

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Andriy Olenko

Class requirements

Supervised ResearchWeek: 10 - 22
One 1.00 hour supervised research per study period on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Supervised research under the supervision of a staff member equivalent to a total of 150 hours.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Thesis (30-90 pages including appendices and bibliography) (12000-15000 word equiv)The assessment components listed are the combined assessment for STA5THA and STA5THB.	N/A	N/A	N/A	No	95	SILO1, SILO2, SILO3, SILO4, SILO5
2 Oral Presentations (1x 10 minute and 1x 20 minute) (1500 word equiv)Hurdle: Satisfactory Oral Presentations that demonstrate capacity to communicate your knowledge and ideas of statistics must be given.	N/A	N/A	N/A	Yes	5	SILO1, SILO4

Melbourne (Bundoora), 2020, Semester 2, Day