Handbook home
Measurement Analytics (MAST90131)
Graduate courseworkPoints: 12.5Online
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Term 3
Melbourne School of Professional and Continuing Education
Further information: https://study.unimelb.edu.au/find/courses/graduate/master-of-applied-analytics
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Monday to Friday 8am to 9pm AEST/AEDT. Weekends and University of Melbourne observed Public Holidays 10am to 5pm AEST/AEDT.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Term 3 - Online |
---|---|
Fees | Look up fees |
Measurement analytics combines measurement science and validity theory with analytics methods. Its main application is to assess human (or sometimes organisational) performance or attributes, using digital big data and analytical techniques. Use of measurement analytics is appropriate when the objective of the analyst is to build reliable and valid assessments of individuals, especially when attributes or levels of performance can only be inferred, not directly observed, and when results have consequences for the individuals concerned.
There are many applications: in education, to any assessment of competence or understanding; in health and human services, to assessments of patient physiological or psychological status; in the professions and vocations for recruitment, to assessment of complex skills, including in areas such as music, sport, and non-cognitive attributes such as attitudes, values and beliefs; and in situations when automated assessments are generated from games, essays, videos or interviews.
In this subject students will develop an understanding of the rationale for using measurement analytics rather than alternative analytics techniques and become familiar with contemporary and emerging applications. This subject provides students with the ability to assess claims to reliability and validity of analytics-based assessments of attributes or performance of individuals, and provides basic understandings and skills in how to maximize validity using complex digital data.
Intended learning outcomes
- Understand the principles of measurement and learning analytics as well as the rationale for using measurement analytics rather than alternative techniques such as data mining, cluster or regression analysis for assessment purposes.
- Understand and explore how various data and information can be used to measure complex human attributes and performance.
- Understand and apply common approaches to conceptualizing human attributes for the purposes of assessment.
- Apply measurement analytics techniques to digital big-data sets to generate and interpret measures.
- Understand contemporary applications of measurement analytics to automated, algorithm-based, online adaptive assessment applications, especially those based on machine learning or data mining.
Generic skills
- Students will be provided with the opportunity to practice and reinforce: • High level written communication skills. • Advanced information and interpretation skills. • Advanced analytic, integration and problem-solving skills • Demonstrate competence in critical and theoretical thinking through report writing and online discussions.
Last updated: 10 February 2024
Eligibility and requirements
Prerequisites
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST90130 | Critical Thinking with Analytics |
Term 3 (Online)
Term 1 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
It is expected that students will already be familiar with basic concepts from statistics and probability.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 10 February 2024
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Contributions to online discussion posts
| Throughout the semester | 10% |
Online quizzes (Weekly)
| Throughout the semester | 10% |
A conceptual framework
| Week 2 | 10% |
Essay
| Week 4 | 25% |
Report
| Week 8 | 45% |
Last updated: 10 February 2024
Dates & times
- Term 3 - Online
Coordinator Sandra Milligan Mode of delivery Online Contact hours Total time commitment 170 hours Pre teaching start date 13 July 2020 Pre teaching requirements During the pre-teaching period students are given the opportunity to get used to the online platform, meet the instructors/tutors and become familiar with how to access resources before the teaching period starts. Teaching period 20 July 2020 to 13 September 2020 Last self-enrol date 14 July 2020 Census date 7 August 2020 Last date to withdraw without fail 28 August 2020 Assessment period ends 20 September 2020 Term 3 contact information
Melbourne School of Professional and Continuing Education
Further information: https://study.unimelb.edu.au/find/courses/graduate/master-of-applied-analytics
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Monday to Friday 8am to 9pm AEST/AEDT. Weekends and University of Melbourne observed Public Holidays 10am to 5pm AEST/AEDT.
Time commitment details
170 hours
Last updated: 10 February 2024
Further information
- Texts
Prescribed texts
Students will have access to electronic copies of relevant readings
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 10 February 2024