BP083 - Bachelor of Science (Applied Mathematics and Statistics)

Go to Enrolment Program Structures Search

Plan: BP083P20 - Bachelor of Science (Applied Mathematics and Statistics)
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure

Approach to learning and assessment

You will enjoy a rich, diverse, theoretical and applied learning experience across the duration of the Bachelor of Science (Applied Mathematics and Statistics) program.

 

You will be provided with face-to-face lectures offering a variety of learning and teaching techniques. Tutorials or laboratory sessions will be used to explore theory covered in lectures and related application of mathematics and statistics. You will have the opportunity to interact with teaching staff, fellow students and tutors. The tutorial problems will cover key concepts to assist you in your understanding of theories and applications in mathematics. Computer labs will include the use of a variety of mathematics packages, including Matlab, to give you hands-on experience of technologies.

 

The teaching and learning methods used in this program aim to implement student-centred learning by recognising that your perceptions of the world are important and relevant and encouraging you to actively participate in your learning and to develop solutions in collaboration with your peers. Learning activities include practical exercises, case study analysis, oral presentations, technical and business reports, and individual and group project work.

 

Work Integrated Learning forms a crucial part of the learning experience, with industry representatives overseeing projects, interviews and presentations of your work. In this way you will be provided with both an insight into mathematics and statistics in industry and feedback from these experts. Learning opportunities will be supported by web-based learning activities.

 

Assessment activities vary across the courses offered. Assessment is undertaken throughout the semester in many forms, including written assignments, tutorials, examinations, case studies and presentations. The assessment for each course will gauge whether the learning outcomes and capabilities expected from the course have been achieved at the required level.

 

Course materials (printed course notes, textbooks and reference books) will be available from the RMIT Campus Store; the RMIT Library, which has copies of the books and also provides online access to electronic books and journals; course web pages, which contain links that let you download worksheets and assignment specifications. You can also email teaching staff for assistance, and access message forums as well as links to external course-related web sites.

 

If you have a long-term medical condition, disability and/or other form of disadvantage, it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or the Equitable Learning Service (ELS) www.rmit.edu.au/equitable if you would like to find out more.

 

If you have already developed areas of skill and knowledge included in this program (for example, through prior studies or work experience), you can apply for credit once you have enrolled in this program. There is information on the RMIT University website about how to apply for credit - refer to: www.rmit.edu.au/students/enrolment/credit/he

*Top of page

Work integrated learning

RMIT University is committed to providing you with an education that strongly links formal learning with workplace experience.  As a student enrolled in an RMIT program you will:

  • undertake and be assessed on a structured activity that allows you to learn, apply and demonstrate your professional or vocational practice
  • interact with industry and community when undertaking this activity
  • complete an activity in a work context or situation that may include teamwork with other students from different disciplines
  • underpin your learning with feedback from interactions and contexts distinctive to workplace experiences.

 

In this program, you will be doing specific course(s) that focus on Work Integrated Learning (WIL). You will be assessed on professional or vocational work in a workplace setting (real or simulated) and receive feedback from those involved in your industry.

 

The designated WIL courses for this program are:

 

  • MATH2196 Industrial Applications of Mathematics and Statistics 1, and
  • MATH2197 Industrial Applications of Mathematics and Statistics 2

 

Completion of WIL courses within this program will involve liaising with industry to define/create the problem; analysing and creating a report; and presenting and receiving feedback from industry partners. Each student can expect interaction with and feedback from industry.

 

There will be regular industry seminars and activities to further engage you with industry and enable you to be work-ready.

*Top of page

Program Structure

To graduate you must complete the following. All courses listed may not be available each semester.
 

*Top of page


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
Practice of Analytics 12 MATH2392 City Campus
 
AND

*Top of page


Year Two of the Program

Complete the following Six (6) Courses:

Course Title

Credit Points

Course Code

Campus

Industrial Applications of Mathematics and Statistics 1 12 MATH2196 City Campus
Modelling with Differential Equations 12 MATH2138 City Campus
Linear Models and Experimental Design 12 MATH2203 City Campus
Optimisation 12 MATH2390 City Campus
Data Preprocessing 12 MATH2382 City Campus
Machine Learning 12 MATH2387 City Campus
AND
Select and complete One (1) Course from the list of Option Courses provided at the end of this program structure document.
AND
Select and complete One (1) Course from any:
University Elective
 
AND

*Top of page


Year Three of the Program

Complete the following Four (4) Courses:

Course Title

Credit Points

Course Code

Campus

Industrial Applications of Mathematics and Statistics 2 12 MATH2197 City Campus
Multivariate Analysis 12 MATH2142 City Campus
Statistical Inference 12 MATH2155 City Campus
Numerical Techniques 12 MATH2391 City Campus
AND
Select and complete Three (3) Courses from the list of Option Courses provided at the end of this program structure document.
AND
Select and complete One (1) course from any:
University Elective
 
AND

*Top of page


List of Option Courses:

Option Courses

Course Title

Credit Points

Course Code

Campus

Linear Programming and Modelling 12 MATH1288 City Campus
Graph Algorithms and Applications 12 MATH2308 City Campus
Practice of Optimisation 12 MATH2396 City Campus
Complex Networks 12 MATH2312 City Campus
Real and Complex Analysis 12 MATH2150 City Campus
Time Series and Forecasting 12 MATH2204 City Campus
Predictive Modelling 12 MATH2301 City Campus
Applied Bayesian Statistics 12 MATH2305 City Campus
Sports Statistics 12 MATH2206 City Campus
Data Visualisation 12 MATH2237 City Campus
Sampling and Quality Control 12 MATH2205 City Campus
Analysis of Categorical Data 12 MATH2300 City Campus
Database Concepts 12 ISYS1057 City Campus
Advanced Programming Techniques 12 COSC1076 City Campus
Algorithms and Analysis 12 COSC2123 City Campus
Data Mining 12 COSC2110 City Campus
Artificial Intelligence 12 COSC1127 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
Market Research 12 MKTG1045 City Campus
Marketing Communication 12 MKTG1041 City Campus
Marketing Principles 12 MKTG1025 City Campus
Business Finance 12 BAFI1008 City Campus
Financial Markets 12 BAFI1002 City Campus
Prices and Markets 12 ECON1020 City Campus
Outbound Exchange Science 1 12 EXTL1179 City Campus
Outbound Exchange Science 2 12 EXTL1181 City Campus
Chemistry Principles 12 CHEM1242 City Campus
Analytical Science 12 CHEM1257 City Campus
 

*Top of page


 
 
[Previous: Learning outcomes]