# Statistics (2017)

Statistics is the science of collecting and interpreting data subject to uncertainty. We live in a world where variability is everywhere. To make informed decisions we must understand the nature of variability, and make use of meaningful information. Without data we have to resort to hunches or guesses, neither of which can be relied on. Statistics tells us how to deal with variability, and how to collect and use data so that we can make good decisions.

Statistics is available as a major for the BSc. Statistics may also be taken as a second major or as a supporting subject within other undergraduate degrees, subject to academic approval of the Faculty or School of Studies in which the student is enrolled.

To complete a major in Statistics, students must gain 120 points above 100 level in Statistics, including STAT221, STAT226 and at least 60 points above 200 level. As well as the 100 level prerequisites specified for papers at 200 level and above, it is recommended that students intending to major in Statistics include COMP103, COMP104 and MATH101 in the first year of their programme of study. ECON304, MATH251 and MATH253 may be counted as Statistics papers to satisfy the requirements for a major. Within the Statistics major, specialisations in Databases and Economics are available. Details of the specialisation requirements can be obtained from the Faculty of Computing and Mathematical Sciences.

Note on Assessment: To be eligible to pass these papers students should normally achieve a minimum grade of D in the internal assessment and the final examination, and an overall grade of C. Because of the technical nature of the terminology and accepted international protocol, the Department of Statistics requires that all assessment for all papers be presented in English. Payment for translation will not be available from the Department.

• 100 level
• STAT111 - 17A (TGA), 17B (HAM), 17B (SEC) & 17B (TGA)  - Statistics for Science
• STAT121 - 17A (HAM) & 17S (HAM)  - Introduction to Statistical Methods
• STAT160 - 17A (HAM), 17A (TGA), 17B (HAM) & 17B (TGA)  - Management Statistics
• 200 level
• FCMS296 - 17C (BLK)  - Work Placement
• STAT221 - 17A (HAM)  - Statistical Data Analysis
• STAT226 - 17B (HAM)  - Bayesian Statistics
• 300 level
• COMP321 - 17B (HAM) & 17B (TGA)  - Practical Data Mining
• ECON304 - 17A (HAM)  - Econometrics
• ENGG381 - 17A (HAM)  - Engineering Statistics
• STAT321 - 17B (HAM)  - Advanced Data Analysis
• STAT323 - 17A (HAM)  - Design and Analysis of Experiments and Surveys
• STAT326 - 17B (HAM)  - Computational Bayesian Statistics
• STAT352 - 17A (HAM)  - Statistics for Quality Improvement
• STAT389  - Directed Study
• STAT390 - 17A (HAM), 17B (HAM) & 17Y (HAM)  - Directed Study
A Graduate Certificate and Graduate Diploma are available to graduates who have not included Statistics at an advanced level in their first degree.

For further details, contact the Faculty of Computing and Mathematical Sciences Office.

• Prescriptions for the PGCert(Stats), PGDip(Stats), BSc(Hons), MSc and MSc (Research)
Students in masters degrees are normally required to take a thesis and a selection of papers. Enrolment in papers towards the BSc(Hons) is only by invitation of the Chairperson. Candidates for these graduate qualifications should select their papers in consultation with the Graduate Adviser of the Department of Statistics.

To complete a BSc(Hons) in Statistics, students must complete 120 points at 500 level, including at least 60 points from the papers listed for Statistics, of which at least 30 points must be in research (normally STAT591).

• SCIE501 - 17B (HAM)  - Research Methods in the Sciences
• STAT501  - Quantitative Methods for Security and Crime Science
• STAT502  - Advanced Quantitative Methods for Security and Crime Science
• STAT521 - 17A (HAM)  - Computational Statistics
• STAT522 - 17B (HAM)  - Statistical Inference
• STAT524  - Statistical Consulting
• STAT525 - 17A (HAM)  - Topics in Statistics
• STAT531 - 17B (HAM)  - Multivariate Analysis
• STAT533 - 17A (HAM)  - Study Design and Statistical Inference
• STAT536 - 17B (HAM)  - Bayesian Inference
• STAT590 - 17C (HAM)  - Directed Study
• STAT591 - 17C (HAM)  - Dissertation
• STAT592 - 17C (HAM)  - Dissertation
• STAT593 - 17C (HAM)  - Statistics Thesis
• STAT594 - 17C (HAM)  - Statistics Thesis
• Prescriptions for the MPhil
The Master of Philosophy is a one year research-based degree in which students undertake a programme of approved and supervised research that leads to a thesis which critically investigates an approved topic of substance and significance, demonstrates expertise in the methods of research and scholarship, displays intellectual independence and makes a substantial original contribution to the subject area concerned, and is of publishable quality.
• STAT800 - 17C (HAM)  - Statistics MPhil Thesis
• Prescriptions for the PhD
The Doctor of Philosophy is a three year research-based degree in which students undertake a programme of approved and supervised research that leads to a thesis which critically investigates an approved topic of substance and significance, demonstrates expertise in the methods of research and scholarship, displays intellectual independence and makes a substantial original contribution to the subject area concerned, and is of publishable quality.
• STAT900 - 17C (HAM)  - Statistics PhD Thesis

2017 Catalogue of Papers information as of 3 July 2017 1:29pm