BP083 - Bachelor of Applied Mathematics and Statistics

Plan: BP083P10 - Bachelor of Science (Mathematics)
Campus: City Campus

Program delivery and structure

Approach to learning and assessment
Work integrated learning
Program structure
Program transition plan

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Approach to learning and assessment

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

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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.

Any or all of these aspects of a WIL experience may be in a simulated workplace environment

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.

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Program Structure

To graduate you must complete the following: All courses listed may not be available each semester.
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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 Vectors and Calculus 12 MATH1144 City Campus Statistical Methodologies 12 MATH2201 City Campus Discrete Mathematics 12 MATH1150 City Campus Advanced Linear Algebra with Vector Calculus 12 MATH2311 City Campus Problem Solving and Algorithms 12 MATH2313 City Campus
AND
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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
AND
Select and complete Two (2) Courses from the list of Options Courses provided at the end of this program structure document:
List of Option Courses
AND
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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
AND
Select and complete Four (4) Courses from the list of Option Courses provided at the end of this program structure document:
List of Option Courses
AND
Select and complete Two (2) Courses from any:
University Elective
AND
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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 with R 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 and Institutions 12 BAFI1002 City Campus Corporate Finance 12 BAFI1008 City Campus Prices and Markets 12 ECON1020 City Campus Approved External Program Option 12 EXTL1195 City Campus
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Program transition plan

Very Important: This program is being phased out.

This program will only be available until Sem 2 2027. If you believe you will not complete this program within this time or if you have any queries or concerns regarding the changes and how you may be impacted, academic advice from the College of Science, Engineering and Health Academic Services team or from your Program Manager will be available to you. No new students will be admitted to this program after 2019.

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