Bachelor of Science (Applied Mathematics and Statistics)
Royal Melbourne Institute of Technology
About
The program BP083P10 Bachelor of Science (Mathematics) will:give you a sound knowledge of both fundamental and advanced mathematical theory expose you to a wide range of mathematical models, approaches and software enable you to select and apply appropriate mathematical theories, techniques and software to a wide range of problems expose you to related fields of study, such as environmental modelling, finance, statistics or information security develop your knowledge of the types of industry which employ mathematicians and the types of tasks they undertake enable you to become highly employable in the mathematics field and capable of further study provide you with the opportunity to develop the generic skills and abilities to operate effectively in professional settings that involve mathematical and statistical expertise.
These include communication skills, technology literacy, and the ability to work in a team and interact with others identify the need for an ethical approach to your work.BP083P10 Bachelor of Science (Mathematics) has a shared course structure (with the exception of ONE course) with BP245 Bachelor of Science (Statistics) in Year 1.
Year 1 is designed to build a common platform of mathematical knowledge, conceptual and analytical skills that are essential for Years 2 & 3 in both programs.
It also includes an overview of the different components of applied mathematics which can be explored in depth in subsequent years.In the second and third years of BP083P10 Bachelor of Science (Mathematics) there is a large number of option courses which allow you to tailor your studies to your mathematical interests including areas like finance, information security, biology and ecology modelling, operations research, optimisation and analytics.
You are also able to select two University-wide option courses.
In Semester 1 of Year 3 you have the possibility of undertaking a student mobility program overseas, either in industry or in a partner university.MATH2197 Industrial Applications of Mathematics and Statistics 2 serves as a capstone experience where you can integrate and apply knowledge and skills learned throughout your program as you transition from study to industry.
You will participate in a group project or industry placement under the supervision of the teaching team and eventually under the supervision of a representative from a partner institution.
Regular interactions with your supervisor(s) will allow you to obtain technical advice, to construct a milestones plan and get feedback on your progress.
You will respond to real world problems using the knowledge and competencies acquired during your program to propose solutions.MATH2197 Industrial Applications of Mathematics and Statistics 2 and its pre-cursor, MATH 2196 Industrial Applications of Mathematics and Statistics 1 are the designated WIL courses for the BP083P10 program.This program requires on-campus attendance.
Courses may include on-line components.
Structure
Year One of the Program
Complete the following Eight (8) Courses:
Course Title | Credit Points | Course Code | Campus |
---|---|---|---|
Calculus and Analysis 1 | 12 | MATH1142 | City Campus |
Introduction to Probability and Statistics | 12 | MATH2200 | City Campus |
Mathematical Computing and Algorithms | 12 | MATH2109 | City Campus |
Calculus and Analysis 2 | 12 | MATH1144 | City Campus |
Basic Statistical Methodologies | 12 | MATH2201 | City Campus |
Discrete Mathematics | 12 | MATH1150 | City Campus |
Applied Linear Algebra | 12 | MATH2311 | City Campus |
Problem Solving and Algorithms | 12 | MATH2313 | City Campus |
Year Two of the Program
Complete the following Six (6) Courses:
Course Title | Credit Points | Course Code | Campus |
---|---|---|---|
Mathematical Modelling | 12 | MATH2194 | City Campus |
Linear Algebra and Vector Calculus | 12 | MATH2140 | City Campus |
Industrial Applications of Mathematics and Statistics 1 | 12 | MATH2196 | City Campus |
Scientific Computing | 12 | MATH1155 | City Campus |
Modelling with Differential Equations | 12 | MATH2138 | City Campus |
Computational Mathematics | 12 | MATH2136 | City Campus |
Select and complete Two (2) Courses from the list of Options Courses provided at the end of this program structure document:
ANDYear Three of the Program
Complete the following Two (2) Courses:
Course Title | Credit Points | Course Code | Campus |
---|---|---|---|
Real and Complex Analysis | 12 | MATH2150 | City Campus |
Industrial Applications of Mathematics and Statistics 2 | 12 | MATH2197 | City Campus |
Select and complete Four (4) Courses from the list of Option Courses provided at the end of this program structure document:
Select and complete Two (2) Courses from any:
ANDList of Option Courses:
(Year Two and Year Three)
Course Title | Credit Points | Course Code | Campus |
---|---|---|---|
Advanced Mathematical Modelling | 12 | MATH2139 | City Campus |
Nonlinear Optimisation | 12 | MATH2143 | City Campus |
Numerical Solutions of DEs | 12 | MATH2144 | City Campus |
Complex Networks | 12 | MATH2312 | City Campus |
Linear Programming and Modelling | 12 | MATH1288 | City Campus |
Graph Algorithms and Applications | 12 | MATH2308 | City Campus |
Algebra for Information Security | 12 | MATH2148 | City Campus |
Coding for Cyber Communication | 12 | INTE2090 | City Campus |
Cryptography for Cyber Security | 12 | INTE2035 | City Campus |
Multivariate Analysis | 12 | MATH2142 | City Campus |
Statistical Inference | 12 | MATH2155 | City Campus |
Data Preparation for Analytics | 12 | MATH2202 | City Campus |
Linear Models and Experimental Design | 12 | MATH2203 | City Campus |
Time Series and Forecasting | 12 | MATH2204 | City Campus |
Sampling and Quality Control | 12 | MATH2205 | City Campus |
Sports Statistics | 12 | MATH2206 | City Campus |
Data Visualisation | 12 | MATH2237 | City Campus |
Systems Simulation | 12 | MATH2309 | City Campus |
Analysis of Categorical Data | 12 | MATH2300 | City Campus |
Predictive Modelling | 12 | MATH2301 | City Campus |
Applied Bayesian Statistics | 12 | MATH2305 | City Campus |
System Dynamic Modelling | 12 | MATH2127 | City Campus |
Financial Markets | 12 | BAFI1002 | City Campus |
Business Finance | 12 | BAFI1008 | City Campus |
Prices and Markets | 12 | ECON1020 | City Campus |
Global Mobility Elective | 12 | EXTL1195 | City Campus |
Entry requirements
Program entry requirements
Successful completion of an Australian Year 12 senior secondary certificate of education or equivalent.
For information on international qualifications and corresponding entry requirements that are equivalent to Australian academic entry requirements, see the Country equivalents web page.
Prerequisites
Victorian Certificate of Education (VCE) prerequisite Units 3 and 4 — a study score of at least 20 in Mathematical Methods (CAS) or Specialist Mathematics, and a study score of at least 30 in English (EAL) or at least 25 in any other English.
English language requirements
A minimum IELTS (Academic module) overall score of 6.5, with no band below 6.0; or equivalent.
For equivalents to English entry requirements, see the English equivalents web page.
Learning outcomes
On completion of the program BP083 Bachelor of Science (Mathematics) you will be able to:
PLO1. Personal and professional awareness
- contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions
- reflect on experience and improve your own future practice
- apply the principles of lifelong learning to any new challenge.
PLO2. Knowledge and technical competence
- use the appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.
PLO3. Problem-solving
- synthesise and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
- balance the complexity / accuracy of the mathematical / statistical models used and the timeliness of the delivery of the solution.
PLO4. Teamwork and project management
- contribute to professional work settings through effective participation in teams and organisation of project tasks
- constructively engage with other team members and resolve conflict.
PLO5. Communication
- communicate effectively both technical and non-technical material in a range of forms (written, electronic, graphic, oral) and tailor the style and means of communication to different audiences. Of particular interest is the ability to explain technical material, without unnecessary jargon, to lay persons such as the general public or line managers.
PLO6. Information literacy
- locate and use data and information and evaluate its quality with respect to its authority and relevance.
PLO7. Ethics
- discuss the ethical considerations that inform judgments and decisions in academic and professional settings.
Institution
