No dates are currently scheduled.

Description 

Analysing Time to Events’ is an introductory level short-form micro-credential aimed at the public service, policymakers, data analysts, and the general public interested in understanding and examining the timing and occurrence of events over time. The course sets the foundation for understanding how and why certain events do or do not occur, such as when young people leave home, length of employment, or time to first home ownership. It is widely applicable to demographic, health, social science and policy research.

Topics 

  1. Foundational principles of analysing the occurrence of events
  2. Common data structures
  3. Problems with conventional methods when dealing with duration data
  4. Interpretation of duration models

Learning outcomes 

Upon successful completion, enrollee's will have the knowledge and skills to:

  1. Explain the overall conceptual and analytical approach of time to event methods;
  2. Outline appropriate techniques for formatting and analysing duration data;
  3. Interpret graphical and statistical outputs based on duration models.

Indicative assessment 

Group-based problem set (LO 1-3): The problem set provides the opportunity for enrollees to apply the fundamentals of time to event methods and interpret graphical and statistical results. Enrollee’s will work through the exercises together in a group and respond to questions based on real-world examples. The word limit for the completed problem set is 1,000 words.

Assumed knowledge 

A basic statistical background is assumed. This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential is undertaken as a stand-alone course.

Details 

Course Code: DATA02

Workload: 21 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours

ANU unit value: 1 unit

AQF Level: 8

Contact: Brian Houle

 

This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

No dates are currently scheduled.

Description 

Populations can be compared in many ways, for example, changing world and national populations across time, or differences between social groups or across geographies within a population. ‘Comparing populations’ introduces techniques that allow comparison of demographic, health, and social indicators in populations with different age/sex patterns. This short-form micro-credential is aimed at population analysts, policymakers and specialists for the health and social care professions. Participants will have hands-on experience accessing and analysing population data.

Topics 

  1. Estimating exposure-time
  2. Calculating age-specific measures
  3. Direct and indirect standardization techniques
  4. Basic decomposition methods

Learning outcomes 

Upon successful completion, enrollee's will have the knowledge and skills to:

  1. Develop a comparative data analysis plan and have the ability to gather the appropriate data
  2. Understand demographic measurement of time and the estimation of age-specific measures
  3. Apply techniques that allow comparison of demographic indicators of population with different age/sex patterns

Indicative assessment 

Take home report-assignment (LO: 1-3): To be delivered a week after the micro-credential. Enrollees will select their topic from a list of possible themes on comparing populations, provided the day of the course. The report will consist of no more than 1000 words including: title, introduction, data, results, and discussion. It is expected that enrollees include some of the calculations studied in the course.

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential is undertaken as a stand-alone course.

Details 

Course Code: DATA04

Workload: 21 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours

ANU unit value: 1 unit

AQF Level: 8

Contact: Brian Houle


This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

No dates are currently scheduled.

Description 

Life expectancy is a commonly used summary measure to assess the health of a population, and it is calculated using life tables. ‘Life tables’ is a short-form micro-credential designed to introduce this standard demographic methodology standard. Upon successful completion, enrollees will be able to describe the components of a life table and apply its rules to derive life expectancy. The micro-credential is aimed at population analysts, policymakers, planners and specialists for the health and social care professions. Enrollees will have hands-on experience accessing and analysing population data using the R software.

Topics 

  1. How to build life tables
  2. Interpreting the components including life expectancy
  3. Examining population differences in mortality profiles

Learning outcomes 

Upon successful completion, students will have the knowledge and skills to:

  1. Apply rates in population analysis
  2. Explain why life tables are needed
  3. Apply basic rules of a life table to derive life expectancy and explain the components of the life table
  4. Evaluate population differences in mortality profiles

Indicative assessment 

Take home report-assignment (LO: 1-4) to be delivered a week after the micro-credential. Enrollees will select their topic from a list of possible themes on life tables, provided the day of the course. The report will consist of no more than 2000 words including: title, introduction, data & methods, results and discussion. It is expected that enrollees include some of the calculations studied in the life table course.

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential may be undertaken as a stand-alone course. 

Details 

Course Code: DATA10

Workload: 21 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours

ANU unit value: 2 units

AQF Level: 8

Contact: Brian Houle

 

This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

No dates are currently scheduled.

Description 

Policymakers and planners use projections of the size and structure of the population to gauge future human resources and the demand for infrastructure and services. This short-form micro-credential introduces the method used to project populations by age and sex. The micro-credential is aimed at analysts, policymakers, and planners in all sectors employing population data, such as education, labour force, health and social care. Participants will gain hands-on experience accessing relevant data, deriving inputs and applying the projection method.

Topics 

  1. How to derive the projection inputs in terms of future fertility
  2. Mortality and migration
  3. Demographic processes affect population change

Learning outcomes 

Upon successful completion, enrollee's will have the knowledge and skills to:

  1. Explain the procedure of population projection
  2. Generate projection inputs in terms of justifiable future series of demographic processes
  3. Understand the role of demographic processes in changing population structures

Indicative assessment 

Take home report-assignment (LO: 1-3): To be delivered a week after the micro-credential. Enrollees will select their topic from a list of possible themes on population projections, provided the day of the course. The report will consist of no more than 1000 words including: title, introduction, data, results, and discussion. It is expected that enrollees include some of the calculations studied in the course.

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential may be undertaken as a stand-alone course.

Details 

Course Code: DATA14

Workload: 22 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 15 hours

ANU unit value: 1 unit

AQF Level: 8

Contact: Professor Nicholas Biddle

 

This Micro-credential is taught at a graduate level.  This is not an AQF qualification.

No dates are currently scheduled.

Description 

The demographic way of thinking’ is an introductory level short-form micro-credential aimed at the public service, policymakers and the general public interested in understanding population change and its drivers. It answers the question of why demography matters in social policy making and equips participants with the knowledge and skills necessary to apply demographic perspectives to critically assess population change. This micro-credential sets the foundation for informed policy discussions on population change in Australia and its implications on economic, environmental and social sustainability.

Topics 

  1. Determinants and components of population change
  2. Population structures and their implications

Learning outcomes 

Upon successful completion, enrollee's will have the knowledge and skills to:

  1. Explain the determinants and components of population change
  2. Interpret population structures and their implications
  3. Apply demographic perspectives to critically assess social, economic and environmental change

Indicative assessment 

The assessment for this micro-credential is a group presentation (LO: 1-3) on a short project that involves applying the demographic perspectives learned in the course to critically assess social, economic and environmental change in a particular country, region, city. Each person in the group is expected to contribute to the project discussion and presentation.

The presentation will be assessed based on the following criteria:

• Organisation

• Application of demographic thinking

• Key messages

Assumed knowledge 

This micro-credential is taught at graduate level and assumes the generic skills of a Bachelors or equivalent.

Micro-credential stack information 

This micro-credential is undertaken as a stand-alone course.

Details 

Course Code: DATA19

Workload: 21 hours 

  • Contact hours: 7 hours
  • Individual study and assessment: 14 hours

ANU unit value: 1 unit

AQF Level: 8

Contact: Brian Houle

This Micro-credential is taught at a graduate level.  This is not an AQF qualification.