BH101 - Bachelor of Science (Dean's Scholar)(Honours)

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Plan: BH101MA - Bachelor of Science (Dean's Scholar, Mathematics) (Honours)
Campus: City Campus

Program delivery and structure

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

Approach to learning and assessment

The program offers you rich, diverse, theoretical and applied learning experiences. You will be encouraged to actively participate in class and to engage with, and learn from, teaching staff, fellow students, tutors and industry professionals both in face-to-face and online settings. Learning activities will include practical exercises, case study analysis, oral presentations, technical and business reports, and individual and group project work.

The program has been designed to balance theory and practice. Lectures, from both academic staff and industry professionals, are combined with tutorial and computer lab sessions to help you build an understanding of mathematical and statistical theories and concepts as well as skills in the use of tools/packages (e.g. R and SAS) and the opportunity to use and apply these theories and tools to a range of practical problems and situations.

The assessment in the program will provide you with feedback on your performance and the degree to which you have achieved the learning outcomes and capabilities associated with each course. The type of assessment will vary and include examinations, tests, written assignments, oral presentations and laboratory practicals. In addition, assessment activities will be progressively scheduled throughout each course and include formative feedback that does not count toward your final grade (e.g. tutorial quiz), as well
as summative assessment activities that will count towards your final grade.

Work integrated learning (WIL) forms a crucial part of the program. In addition to guest lecturers and site visits, industry representatives will also be involved in developing and evaluating projects. It is envisaged that industry placements will be available.

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 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 Recognition of Prior Learning (RPL) - 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.

In second year, you will complete MATH2196 Industrial Applications of Mathematics and Statistics 1. You will also carry out a research-oriented activity mentored by a research active scientist in ONPS1664 Science Menotred Research Placement 1.

In your third year, you will undertake MATH2197 Industrial Applications of Mathematics and Statistics 2 and a second research-oriented activity mentored by a research active scientist in ONPS1665 Science Mentored Research Placement 2.

In the fourth year of study, you will carry out a major research project in the two Science Honours Project courses (ONPS2450 Science Honours Project 1 (12CP), ONPS2452 Science Honours Project 2). In these courses you will work individually under the guidance of a research active scientist.

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

Please note that some courses listed in this structure will have their course marks count toward your program's weighted average mark. Your weighted average mark will determine the honours level of your award once you have completed the program. If a course counts toward your weighted average mark, that fact will be stated in its course guide. In Enrolment Online, after you completed your course enrolment, you will be notified which of the enrolled courses will count toward the weighted average mark.
 

For more information about the weighted average mark, please click here

 

To graduate you must complete the following:

 

All courses listed may not be available each semester.

 

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Year One of Program

Complete the following Eight (8) Courses:

Course Title

Credit Points

Course Code

Campus

Calculus and Analysis 1 12 MATH1142 City Campus
Discrete Mathematics 12 MATH1150 City Campus
Introduction to Probability and Statistics 12 MATH2200 City Campus
Mathematical Computing and Algorithms 12 MATH2109 City Campus
Basic Statistical Methodologies 12 MATH2201 City Campus
Calculus and Analysis 2 12 MATH1144 City Campus
Applied Linear Algebra 12 MATH2311 City Campus
Problem Solving and Algorithms 12 MATH2313 City Campus
 
AND

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Year Two of Program

Complete the following Seven (7) Courses:

Course Title

Credit Points

Course Code

Campus

Science Mentored Research Placement 1 12 ONPS1664 City Campus
Linear Algebra and Vector Calculus 12 MATH2140 City Campus
Mathematical Modelling 12 MATH2194 City Campus
Modelling with Differential Equations 12 MATH2138 City Campus
Computational Mathematics 12 MATH2136 City Campus
Industrial Applications of Mathematics and Statistics 1 12 MATH2196 City Campus
Scientific Computing 12 MATH1155 City Campus
AND
Select and Complete One (1) Course from any:
University Elective
 
AND

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Year Three of Program

Complete the following Three (3) Courses:

Course Title

Credit Points

Course Code

Campus

Industrial Applications of Mathematics and Statistics 2 12 MATH2197 City Campus
Real and Complex Analysis 12 MATH2150 City Campus
Science Mentored Research Placement 2 12 ONPS1665 City Campus
AND
Select and Complete Four (4) Courses from the following Mathematics Options:

Course Title

Credit Points

Course Code

Campus

Sampling and Quality Control 12 MATH2205 City Campus
Time Series and Forecasting 12 MATH2204 City Campus
Sports Statistics 12 MATH2206 City Campus
Systems Simulation 12 MATH2309 City Campus
Scientific Computing 12 MATH1155 City Campus
Complex Networks 12 MATH2312 City Campus
Linear Programming and Modelling 12 MATH1288 City Campus
Numerical Solutions of DEs 12 MATH2144 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
Data Preparation for Analytics 12 MATH2202 City Campus
Linear Models and Experimental Design 12 MATH2203 City Campus
Business Finance 12 BAFI1008 City Campus
Financial Markets 12 BAFI1002 City Campus
Prices and Markets 12 ECON1020 City Campus
AND
Select and Complete One (1) Course from any:
University Elective
 
AND

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Year Four of Program

Complete the following Six (6) Courses:

Course Title

Credit Points

Course Code

Campus

Honours Mathematics Project 1 12 MATH2183 City Campus
Honours Mathematics Project 2 12 MATH2184 City Campus
Science Honours Research Methods 12 ONPS2412 City Campus
Project Planning 12 ONPS2317 City Campus
Science Honours Project 1 (12cp) 12 ONPS2450 City Campus
Science Honours Project 2 12 ONPS2452 City Campus
AND
Select and Complete Two (2) Courses from the following Honours Options:

Course Title

Credit Points

Course Code

Campus

Advanced Topics in Mathematics 1 12 MATH2337 City Campus
Stochastic Processes and Applications 12 MATH2381 City Campus
Game Theory and its Applications 12 MATH2188 City Campus
Methods and Models of Operations Research 12 MATH1327 City Campus
Mathematical Modelling and Decision Analysis 12 MATH2055 City Campus
Systems Simulation 12 MATH2309 City Campus
Advanced Topics in Mathematics 2 12 MATH2338 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 2029. If you believe you will not complete the 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.

IF YOU BEGAN YOUR STUDIES PRIOR TO SEM 1, 2021 PLEASE NOTE THAT:

The following core courses have been removed from Year 4:

  • MATH2339 Advanced Topics in Mathematics 3
  • MATH2340 Advanced Topics in Mathematics 4
  • MATH2341 Advanced Topics in Mathematics 5
  • MATH2342 Advanced Topics in Mathematics 6

The following core courses have added to Year 4:

  • ONPS2412 Science Honours Research Methods
  • ONPS2317 Project Planning
  • ONPS2450 Science Honours Project 1 (12cp)
  • ONPS2452 Science Honours Project 2

The following courses have been moved from core to option courses:

  • MATH2337 Advanced Topics in Mathematics 1
  • MATH2338 Advanced Topics in Mathematics 2

The following option courses have been added to Year 4:

  • MATH2381 Stochastic Processes and Applications
  • MATH2188 Game Theory and its Applications
  • MATH1327 Methods and Models of Operations Research
  • MATH2055 Mathematical Modelling and Decision Analysis
  • MATH2309 Systems Simulation

You will not be required to complete the removed courses. Please refer to your enrolment program structure for further details on your enrolment.

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