Quantitative Techniques for Business
UndergraduateCUR-BAN282024
Course information for 2024 intake View information for 2025 course intake
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- No ATAR needed, No prior study
- Duration
- 13 weeks
- Loan available
- HECS-HELP and FEE-HELP available
Quantitative Techniques for Business
About this subject
At the completion of this subject students will be able to:
- recognise practical business situations in which a range of statistical and mathematical techniques are applicable
- present, summarise and process suitable sample data, make basic statistical inferences that lead to appropriate business interpretations with the potential to develop sophisticated mathematical models
- use R and RStudio packages for basic data analysis
- Introduction, Sets and Functions
- Polynomial Functions
- Calculus
- Optimisation
- Elementary Probability
- Probability Distributions
- Normal Distribution
- Hypothesis Testing
This subject introduces mathematical concepts relevant to business and economic applications. The subject begins with a review of foundational concepts in algebra, progressing to elementary calculus used in applications of constrained and unconstrained optimisation. The second half of the subject reviews elementary statistical concepts and techniques for statistical inference.
Please Note: If it’s your first time studying a Curtin University subject you’ll need to complete their compulsory ‘Academic Integrity Program’. It only takes two hours to complete online, and provides you with vital information about studying with Curtin University. The Academic Integrity Program is compulsory, so if it’s not completed your subject grades will be withheld.
Find out more about the Academic Integrity module.
- Project Report (50%)
- MyLab Quizzes (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
No entry requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
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