MASTERS STATISTICS THESIS A

STA5THA

2021

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.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorAndriy Olenko

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Requires coordinators approval

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/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.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorAndriy Olenko

Class requirements

Supervised ResearchWeek: 10 - 22
One 1.00 h 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 elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo95 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/AN/AN/AYes5 SILO1, SILO4

Melbourne (Bundoora), 2021, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorAndriy Olenko

Class requirements

Supervised ResearchWeek: 30 - 42
One 1.00 h supervised research per study period on weekdays during the day from week 30 to week 42 and delivered via face-to-face.
Supervised research under the supervision of a staff member equivalent to a total of 150 hours.

Assessments

Assessment elementCommentsCategoryContributionHurdle% 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/AN/AN/ANo95 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/AN/AN/AYes5 SILO1, SILO4