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Bridging Mathematics A (MAST10025)
Undergraduate level 1Points: 12.5On Campus (Parkville)
Overview
| Availability | Semester 1 - On Campus |
|---|---|
| Fees | Look up fees |
Bridging Mathematics A provides a pathway for students to continue their mathematical training to meet the mathematics entry requirement for the Bachelor of Science and the Bachelor of Commerce at the University of Melbourne.
Bridging Mathematics A covers the following topics:
Trigonometric Functions; Set Relations and Operations; Injective, Surjective, Bijective Functions; Composition and Inverse; Counting Techniques and Discrete Probability; and Data Analysis and Statistics.
This subject is only available for enrolment for students enrolled in the University of Melbourne Uni Ready Enabling Program.
This subject is not available for credit as part of any undergraduate course at the University of Melbourne.
Intended learning outcomes
On completion of this subject, students should be able to:
- Define and apply set theory concepts, standard set relations and set operations.
- Explain and analyse functions, using domain, range, composition and inverse.
- Apply core concepts in probability and combinatorics.
- Analyse discrete and continuous probability distributions, calculate probabilities and measures of central tendency and dispersion for binomial and normal distributions.
- Describe the concept of statistical inference, explain the distribution of sample statistics, and compute confidence intervals for population parameters.
Generic skills
Students who successfully complete this subject will demonstrate:
• problem-solving skills: the ability to engage with unfamiliar problems in a variety of contexts and identify relevant solution strategies
• numeracy skills: the ability to understand and work with numerical and symbolic representation of ideas
• analytical skills: the ability to construct clear and logical arguments and effectively justify reasoning
• conceptual skills: the ability to see connections across topics, to help organise thinking and frame big picture views
• collaborative skills: the ability to work in a team and actively participate and engage collaboratively in a task
• time-management and organisational skills: the ability to meet regular deadlines while balancing competing commitments
• capacity for learning in a higher education environment: the ability to engage productively in active learning
Last updated: 19 November 2025