Data and Decision Making (MAST90072)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
Availability | Semester 1 |
---|---|
Fees | Look up fees |
The basis for decision making in biotechnology is often the analysis of data. In order for these decisions to be reliable data must be correctly collected and analysed. To control costs data should be efficiently collected and it needs to be properly stored and managed. The interpretation of an analysis requires some knowledge of basic statistical ideas and techniques and the results will often be communicated to a non-specialist audience who will make decisions based on the presentation. Alternatively decisions may be made from the analyses and interpretations of others. This subject examines the whole process of data collection, analysis and decision making.
This subject is a core subject for Master of Biotechnology (MC-SCIBIT) and examples and curriculum are designed for MC-SCIBIT students.
Intended learning outcomes
On completion of this subject, students should be able to:
- Apply statistical techniques from experimental design and data collection to present a report to a possibly non-specialist audience;
- Recognise and apply different statistical techniques used in biotechnology;
- Identify statistical processes and associated resources required to effectively manage projects;
- Demonstrate competence in using major statistical computing package.
Generic skills
At the completion of this subject, students should gain the following generic skills:
- problem-solving skills (especially through tutorial exercises and assignments) including engaging with unfamiliar problems and identifying relevant strategies;
- analytical skills including the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis;
- the ability to work in a team, through interactions with other students.
Last updated: 4 March 2025
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Previous exposure to statistics through an introductory statistics subject or familiarity with elementary statistics.
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: 4 March 2025
Assessment
Description | Timing | Percentage |
---|---|---|
3 written assignments of approximately 500 words each. Due early, mid and late semester
| During the teaching period | 30% |
Project Report
| Late in the teaching period | 20% |
Written Examination
| During the examination period | 50% |
Last updated: 4 March 2025
Dates & times
- Semester 1
Principal coordinator Wei Huang Mode of delivery On Campus (Parkville) Contact hours 36 hours comprising two 1-hour lectures per week and one 1-hour computer laboratory. Total time commitment 170 hours Teaching period 3 March 2025 to 1 June 2025 Last self-enrol date 14 March 2025 Census date 31 March 2025 Last date to withdraw without fail 9 May 2025 Assessment period ends 27 June 2025 Semester 1 contact information
Time commitment details
170 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 4 March 2025
Further information
- Texts
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Geoscience Course Graduate Certificate in Professional Skills for Scientists Course Master of Biotechnology Course Bachelor of Agriculture (Degree with Honours) - Links to additional information
- 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.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
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
Last updated: 4 March 2025