Bachelor of Applied Mathematics and Statistics - Plan BP083P20

Bachelor of Applied Mathematics and Statistics - Plan BP083P20

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Student type:
Learning mode:
On campus
Entry score:

Not available

Duration:
Full-time 3 years
Part-time 6 years
Fees:

Commonwealth supported places

Next intake:
July
Location:
Melbourne City
Learning mode:
On campus
Entry score:

See admissions

Duration:
Full-time 3 years
Fees:

AU$38,400 (2024 annual)

Next intake:
February, July
Location:
Melbourne City
To graduate you must complete the following. All courses listed may not be available each semester.
Year One of the Program
Complete the following Eight (8) Courses:
Course TitleCredit PointsCourse CodeCampus
Calculus and Analysis 112MATH1142City Campus
Introduction to Probability and Statistics12MATH2200City Campus
Mathematical Computing and Algorithms12MATH2109City Campus
Vectors and Calculus12MATH1144City Campus
Statistical Methodologies12MATH2201City Campus
Discrete Mathematics12MATH1150City Campus
Advanced Linear Algebra with Vector Calculus12MATH2311City Campus
Practice of Analytics12MATH2392City Campus
AND
Year Two of the Program
Complete the following Six (6) Courses:
Course TitleCredit PointsCourse CodeCampus
Industrial Applications of Mathematics and Statistics 112MATH2196City Campus
Modelling with Differential Equations12MATH2138City Campus
Linear Models and Experimental Design12MATH2203City Campus
Optimisation12MATH2390City Campus
Data Preprocessing12MATH2382City Campus
Machine Learning12MATH2387City Campus
ANDSelect and complete One (1) Course from the list of Option Courses provided at the end of this program structure document. ANDSelect and complete One (1) Course from any:University Elective
AND
Year Three of the Program
Complete the following Four (4) Courses:
Course TitleCredit PointsCourse CodeCampus
Industrial Applications of Mathematics and Statistics 212MATH2197City Campus
Multivariate Analysis12MATH2142City Campus
Statistical Inference12MATH2155City Campus
Numerical Techniques12MATH2391City Campus
ANDSelect and complete Three (3) Courses from the list of Option Courses provided at the end of this program structure document. ANDSelect and complete One (1) course from any:University Elective
AND
List of Option Courses:
Option Courses
Course TitleCredit PointsCourse CodeCampus
Linear Programming and Modelling12MATH1288City Campus
Graph Algorithms and Applications12MATH2308City Campus
Practice of Optimisation12MATH2396City Campus
Complex Networks12MATH2312City Campus
Real and Complex Analysis12MATH2150City Campus
Time Series and Forecasting12MATH2204City Campus
Predictive Modelling12MATH2301City Campus
Applied Bayesian Statistics12MATH2305City Campus
Sports Statistics12MATH2206City Campus
Data Visualisation with R12MATH2237City Campus
Sampling and Quality Control12MATH2205City Campus
Analysis of Categorical Data12MATH2300City Campus
Database Concepts12ISYS1057City Campus
Advanced Programming Techniques12COSC1076City Campus
Algorithms and Analysis12COSC2123City Campus
Data Mining12COSC2110City Campus
Artificial Intelligence12COSC1127City Campus
Algebra for Information Security12MATH2148City Campus
Coding for Cyber Communication12INTE2090City Campus
Cryptography for Cyber Security12INTE2035City Campus
Market Research12MKTG1045City Campus
Marketing Communication12MKTG1041City Campus
Marketing Principles12MKTG1025City Campus
Corporate Finance12BAFI1008City Campus
Financial Markets and Institutions12BAFI1002City Campus
Prices and Markets12ECON1020City Campus
Outbound Exchange Science 112EXTL1179City Campus
Outbound Exchange Science 212EXTL1181City Campus
Chemistry Principles12CHEM1242City Campus
Analytical Science12CHEM1257City Campus
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Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

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aboriginal flag
torres strait flag

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

More information