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
AND

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:

AND

Year 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:

AND

List 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