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

Plan: BH101AMS - Bachelor of Science (Dean's Scholar, Applied Mathematics and Statistics) (Honours)
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 (Dean's Scholar, Applied Mathematics and Statistics) (Honours) 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 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.

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 your second year, you will undertake MATH2196 Industrial Applications of Mathematics and Statistics 1 and a second research-oriented activity mentored by a research active scientist in ONPS1664 Science Mentored 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.There will be regular industry seminars and activities to further engage you with industry and enable you to be work-ready.

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Program Structure

For students who commence their study in this program from 1 January 2016 onwards, 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 Statistical Methodologies 12 MATH2201 City Campus Vectors and Calculus 12 MATH1144 City Campus Advanced Linear Algebra with Vector Calculus 12 MATH2311 City Campus Practice of Analytics 12 MATH2392 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 Modelling with Differential Equations 12 MATH2138 City Campus Industrial Applications of Mathematics and Statistics 1 12 MATH2196 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 any:
University Elective
AND
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Year Three of Program
Complete the following Five (5) Courses:
Course Title Credit Points Course Code Campus Industrial Applications of Mathematics and Statistics 2 12 MATH2197 City Campus Science Mentored Research Placement 2 12 ONPS1665 City Campus Multivariate Analysis 12 MATH2142 City Campus Statistical Inference 12 MATH2155 City Campus Numerical Techniques 12 MATH2391 City Campus
AND
Select and Complete Two (2) 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 Complex Networks 12 MATH2312 City Campus Linear Programming and Modelling 12 MATH1288 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 Corporate Finance 12 BAFI1008 City Campus Financial Markets and Institutions 12 BAFI1002 City Campus Prices and Markets 12 ECON1020 City Campus Predictive Modelling 12 MATH2301 City Campus Practice of Optimisation 12 MATH2396 City Campus Graph Algorithms and Applications 12 MATH2308 City Campus Outbound Exchange Science 1 12 EXTL1179 City Campus Outbound Exchange Science 2 12 EXTL1181 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 Science Honours Research Methods 12 ONPS2412 City Campus Project Planning 12 ONPS2317 City Campus Honours Science 1 12 ONPS2313 City Campus Honours Science 2 12 ONPS2314 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 Advanced Optimisation with Python 12 MATH1327 City Campus Optimisation for Decision Making 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 plan is being phased out. 
  
BH101AMS - Bachelor of Science (Dean's Scholar, Applied Mathematics and Statistics)(Honours) plan has been discontinued and will no longer accept new students after Semester 2 2022. The plan will be taught out to current students until semester 2, 2027. If you are unable to complete your program by the end of 2027, you may consider applying to other programs within RMIT subject to entrance requirements. You may also consider applying to the new plan: 

BP083P23  Bachelor of Applied Mathematics and Statistics
  
For more information and advice on your enrolment, please contact your program manager, Peter Daivis (peter.daivis@rmit.edu.au).

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

The following core courses have been removed from Year 4:

• ONPS2663 Science Honours Project 1
• ONPS2454 Science Honours Project 3
• ONPS2456 Science Honours Project 4

The following core courses have been added to Year 4:

• ONPS2317 Project Planning
• ONPS2450 Science Honours Project 1 (12cp)

The following option courses have been added to Year 4:

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

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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