The University of Newcastle, Australia
Fast facts
Location

Online

Start dates
  • Semester 1 - 24 Feb 2020
  • Semester 2 - 20 Jul 2020
Mode of delivery

Online

Duration

2 years part-time up to 4 years maximum.

UON program code: 40157

Program handbook

Description

The Master of Medical Statistics is an 80-unit coursework program comprising of 40 units of core courses and 40 units from one of two specialisations:

  • Clinical; and
  • Longitudinal Data Analysis.

The Clinical specialisation is orientated toward applied practice versus mathematical theory, geared to health professionals and others wishing to undertake applied research but not necessarily practice as a medical statistician. The Longitudinal Data Analysis specialisation will focus on the theoretical underpinnings of Medical Statistics that are of particular interest to students already possessing a quantitative degree or appropriate mathematical training.


Program learning outcomes

On successful completion of the program students will have:

  • demonstrated a sound understanding of epidemiological study design and the theory and application of the major areas of bio-statistics relevant to professional practice.
  • skills in complex statistical analysis to handle a variety of practical problems using modern statistical techniques and software.
  • skills in data collection and data management, including quality control procedures and the ethical handling of data.
  • skills to identify the relevant statistical issues in practical problems in medical health/settings and to propose and implement an appropriate statistical design and/or analysis methodology.
  • skills and experience in communication of bio-statistical issues with clinical/health personnel and the presentation of statistical results in a format suitable for publication in health-related journals or professional reports.
  • the technical skills to be able to read methodological papers in the bio-statistical literature and apply the methods described therein to practical problems.
  • the practical and technical skills to commence professional careers as independent bio-statisticians and/or to progress to further postgraduate studies.
  • demonstrated an understanding of professional codes of conduct and ethical standards such as those of the Statistical Society of Australia.
  • problem solving abilities in bio-statistics, characterised by flexibility of approach.

Details

Information correct as at21 Oct 2019 3:19 AM
Program code40157
AQF level

Level 9 Masters Degree (Coursework)

Locations and UAC codes
Mode of delivery
  • Online
Duration
  • Australian students - 2 years part-time.
Term typeSemesters
Fees
Managing faculty
  1. Faculty of Health and Medicine
Contributing schools
  1. School of Medicine and Public Health
  2. School of Mathematical and Physical Sciences
Relevant University rules and policies

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Admission information

Admission requirements

Clinical Specialisation

  • A three year undergraduate degree in a health related field such as medicine, allied health, biomedical science and pharmacy, or a non-health field such as economics, science, mathematics and engineering, plus a minimum of one year relevant work experience; or
  • A four year undergraduate degree in the above fields; or
  • Relevant postgraduate qualifications.

Longitudinal Data Analysis Specialisation

  • A three year undergraduate degree in a field with strong mathematics/computing content, plus a minimum of one year relevant work experience; or
  • A four year undergraduate degree in the above field; or
  • Relevant postgraduate qualifications.

Minimum English language proficiency requirements

All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy here.


Credit transfer

If you wish to apply for credit for studies completed at another institution, or if you are changing programs within the University and wish to transfer your credit to the new program, visit the University's credit website for more information on applying for credit.


Academic requirements for program completion

Total units required

80 units

Program duration

2 years part-time up to 4 years maximum.

Program requirements

The Master of Medical Statistics is an 80 unit program with two specialisations, comprised of 40 units of core courses, 30 units of compulsory courses for each specialisation and 10 units to be chosen from the specialisation's directed course list. Students must choose and complete one specialisation only.


Program plans

Download a program plan for further details on what you will study. Please refer to the program plan for the year that you commenced or transitioned into this program.


Transition arrangements

From Semester 2, 2018, STAT6001 will replace BIOS6010 as a compulsory course within the Clinical specialisation. Students who have successfully completed BIOS6010 will not be required to complete STAT6001.


Program structure

Students are advised to read their program handbook information in conjunction with the program plans for course sequence/enrolment advice. Please refer to the Program Plan for the year that you commenced, or transitioned into, this program - Program Plans are available above.

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Core Courses

All students must complete the following 40 units of core courses to fulfil the requirements of this program

CodeTitleTerm / Location Units
BIOS6050Statistical Inference
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6061Clinical Trial Design
  • Semester 2 - 2020 (ONLINE)
10 units
BIOS6070Linear Regression Modelling
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6170Foundations of Probability Theory
  • Semester 2 - 2020 (ONLINE)
10 units

Clinical Specialisation

Compulsory Courses

Students must complete 30 units of the following compulsory courses to fulfil the requirements of the Clinical Specialisation

CodeTitleTerm / Location Units
BIOS6040Mathematics of Applied Statistics
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6940Categorical Data Analysis and Generalised Linear Models
  • Semester 2 - 2020 (ONLINE)
10 units
STAT6001Data Wrangling and Visualisation
  • Semester 1 - 2020 (ONLINE)
10 units
Directed Courses

Students must complete 10 units of directed courses to fulfil the requirements of the Clinical Specialisation

CodeTitleTerm / Location Units
BIOS6030Survival Analysis
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6990Applied Longitudinal Analysis
  • Semester 2 - 2020 (ONLINE)
10 units

Longitudinal Data Analysis Specialisation

Compulsory Courses

Students must complete 30 units of the following compulsory courses to fulfil the requirements of the Longitudinal Data Analysis Specialisation

CodeTitleTerm / Location Units
BIOS6030Survival Analysis
  • Semester 1 - 2020 (ONLINE)
10 units
BIOS6940Categorical Data Analysis and Generalised Linear Models
  • Semester 2 - 2020 (ONLINE)
10 units
BIOS6990Applied Longitudinal Analysis
  • Semester 2 - 2020 (ONLINE)
10 units
Directed Courses

Students must complete 10 units of directed courses to fulfil the requirements of the Longitudinal Data Analysis Specialisation

CodeTitleTerm / Location Units
BIOS6111Genetic StatisticsNot currently offered10 units
BIOS6130Bayesian Methods for Medical StatisticsNot currently offered10 units
STAT6001Data Wrangling and Visualisation
  • Semester 1 - 2020 (ONLINE)
10 units

Additional information

All students can access additional learning development mechanisms provided by the Centre for Teaching and Learning.

Aboriginal and Torres Strait Islander students can draw on the assistance and support provided by the Indigenous Student Support and Development service through The Wollotuka Institute.


International students

International students can only study this program online offshore.


Additional support

AccessAbility provides advice and reasonable adjustments to Students with a medical or health condition or disability. If you require adjustments to undertake your program, contact the Student Support Advisors - AccessAbility before semester or early in the semester. They will work with the Faculty or School to ensure that this happens in a timely manner.

Please note: All students must fulfil the inherent requirements of the programs and courses they are undertaking. While reasonable adjustments can be made, these adjustments cannot compromise academic integrity. It is the student's responsibility to check all the requirements of courses, and consider the effects of any medical condition or disability on their ability to complete course requirements. More information is available online.

The Faculty accepts that it is responsible for providing reasonable accommodations for students with special needs, in liaison with the Student Support Unit, which offers practical assistance and advice to students with a disability or chronic illness. The Faculty will seek advice from the Student Support Unit as to what constitutes "reasonable accommodations" under Anti-Discrimination legislation.