Diploma in Mathematical Sciences
Study mathematics and statistics alongside another major with the concurrent diploma.
Develop your mathematical skills by studying the Diploma in Mathematical Sciences alongside your undergraduate degree at Melbourne.
The Diploma in Mathematical Sciences is a great way to use and develop your mathematical skills and complement your undergraduate studies. The high-level numerical and modelling skills you will gain can be applied across almost every area of employment and are always in demand.
This diploma is studied concurrently on a part-time basis with a bachelors degree. Within the Diploma, students will complete the requirements of the Mathematics and Statistics major from the Bachelor of Science. The Diploma consists of 1 year EFTSL of study completed concurrently with an undergraduate degree usually over 3-4 years. Domestic students may be eligible to receive the final half of the diploma HECS-free.
Please see here for information about how to apply for the Diploma, or refer to the Handbook for more information including entry requirements.
Sample course plans
Below are some sample course plans for the Diploma in Mathematical Sciences alongside various Bachelor degree and majors. These may be helpful for students preparing a course plan as part of their application for the Diploma.
Students who need help preparing a course plan are encouraged to seek individual course advice from the School of Mathematics and Statistics.
This is a typical course plan for a student undertaking the Diploma in Mathematical Sciences alongside a Bachelor of Science, and taking the Calculus 1 first-year mathematics pathway.
| Subjects counting towards the Diploma of Mathematical Sciences only | |
| Subjects counting towards Bachelor degree only | |
| Subjects cross credited so that they count towards both the Bachelor degree and the Diploma of Mathematical Sciences |
| Year 1, semester 1 | Level 1 MAST10005 Calculus 1 | SCIE10005 Today's Science, Tomorrow's World | Level 1 Science | Breadth |
|---|---|---|---|---|
| Year 1, semester 2 | Level 1 MAST10006 Calculus 2 | Level 1 Science | Level 1 Science | Breadth |
| Year 1, summer semester | Level 1 MAST10007 Linear Algebra | |||
| Year 2, semester 1 | Level 2 Maths/Stats Major | Level 2 Science Major | Level 2 Science Major | Breadth |
| Year 2, semester 2 | Level 2 Maths/Stats Major | Level 2 Maths/Stats Major | Level 2 Science Major | Science Elective ** (See note) |
| Year 3, semester 1 | Level 3 Maths/Stats Major | Level 3 Maths/Stats Major | Level 3 Science Major | Level 3 Science Major |
| Year 3, semester 2 | Level 3 Maths/Stats Major | Level 3 Maths/Stats Major | Level 3 Science Major | Level 3 Science Major |
| Year 4, semester 1 | Level 3 Science Elective | Breadth or Science Elective | Breadth |
Note: ** Students intending to take the Applied Mathematics specialisation who do not already have evidence of competence in computer programming will also need to complete a computing subject to satisfy the computing prerequisite for MAST30028. These students are recommended to take COMP10001 Foundations of Computing as one of their level-1 science subjects in semester 1, 2, 3 or 4, or COMP20005 Introduction to Numerical Computation in C as a level-2 science elective in semester 3 or 4. Students in this situation may wish to seek individual course advice.
This is a sample course plan for a student undertaking the Diploma in Mathematical Sciences, Applied Mathematics specialisation, alongside the Bachelor of Biomedicine, and taking the Accelerated Mathematics first-year mathematics pathway. For students taking a different specialisation or first-year mathematics pathway, the choice and sequence of subjects might vary.
| Subjects counting towards the Diploma of Mathematical Sciences only | |
| Subjects counting towards Bachelor degree only | |
| Subjects cross credited so that they count towards both the Bachelor degree and the Diploma of Mathematical Sciences |
| Year 1, semester 1 | BIOL10002 Biomolecules and Cells Biomedicine core | BIOM10001 Discovering Biomedicine Biomedicine core | MAST10008 Accelerated Mathematics 1 Biomedicine Foundation | Level 1 breadth |
|---|---|---|---|---|
| Year 1, semester 2 | CHEM10006 Chemistry for Biomedicine Biomedicine core | BIOM10002 Exploring Biomedicine Biomedicine core | MAST10016 Mathematics for Biomedicine Biomedicine Foundation |
MAST10009 Accelerated Mathematics 2 Biomedicine elective |
| Year 1, summer semester | COMP10001 Foundations of Computing Biomedicine elective (** see note) | |||
| Year 2, semester 1 | BIOM20001 Molecular and Cellular Biomedicine (25 points) Biomedicine core | Level 2 discipline elective | MAST20009 Vector Calculus | |
| Year 2, semester 2 | BIOM20002 Human Structure and Function (25 points) Biomedicine core | MAST20004 Probability OR another level-2 discipline elective Biomedicine elective | MAST20030 Differential Equations | |
| Year 2, summer semester | Level 1 or 2 breadth | |||
| Year 3, semester 1 | BIOM30002 Biomedicine: Molecule to Malady Biomedicine core | Biomedicine major Level 3 | Biomedicine major Level 3 | MAST30021 Complex Analysis |
| Year 3, semester 2 | BIOM30001 Frontiers in Biomedicine Biomedicine core | MAST30028 Numerical Methods and Scientific Computing |
MAST30001 Stochastic Modelling (if MAST20004 was taken earlier) OR MAST30031 Methods of Mathematical Physics | Level 2 breadth |
| Year 4, semester 1 | Biomedicine major Level 3 | Biomedicine major Level 3 | MAST30030 Applied Mathematical Modelling | Level 2 or 3 breadth |
Note: ** Students who already have evidence of competence in computer programming do not need to take this subject and can take a different elective instead. Evidence of competence in computer programming may include passing a relevant Year 12 school subject, or a statement of achievement from a relevant MOOC, or passing a programming competency test administered by another University of Melbourne School.
This is a sample course plan for students undertaking the Diploma in Mathematical Sciences with a specialisation in Statistics and Stochastic Processes alongside the Bachelor of Commerce with a major in Economics and taking the Calculus 2 first-year mathematics pathway.
This is intended as an example course plan for one combination of major and specialisation; for other combinations of major, specialisation and first-year mathematics pathway the choice of subjects and their sequence might differ.
| Subjects counting towards the Diploma of Mathematical Sciences only | |
| Subjects counting towards Bachelor degree only | |
| Subjects cross credited so that they count towards both the Bachelor degree and the Diploma of Mathematical Sciences |
| Year 1, semester 1 | Level 1 MAST10006 Calculus 2 | Level 1 ECON10004 Introductory Microeconomics | Level 1 ACCT10001 Accounting Reports & Analysis | Level 1 CMCE10001 Sustainable Commerce |
|---|---|---|---|---|
| Year 1, semester 2 | Level 1 MAST10007 Linear Algebra | Level 1 ECON10003 Introductory Macroeconomics | Level 1 FNCE10002 Principles of Finance | Level 1 Breadth |
| Year 2, semester 1 | Level 2 MAST20026 Real Analysis | Level 2 MAST20006 Probability for Statistics | Level 2 MGMT20001 Organisational Behaviour | Level 2 ECON20002 Intermediate Microeconomics |
| Year 2, semester 2 | Level 2 MAST20005 Statistics | Level 3 MAST30001 Stochastic Modelling | Level 2 Commerce elective | Level 2 ECON20001 Intermediate Macroeconomics |
| Year 3, semester 1 | Level 3 MAST30025 Linear Statistical Models | Level 3 Economics major | Level 3 Economics major | Level 2 Commerce elective |
| Year 3, semester 2 | Level 3 MAST30027 Modern Applied Statistics | Level 3 Economics major | Level 3 Commerce elective | Level 3 Commerce elective |
| Year 4, semester 1 | Level 3 MAST30020 Probability for Inference | Level 3 Commerce elective | Level 3 Commerce elective | Level 2/3 Commerce elective |
This is a sample course plan for students undertaking the Diploma in Mathematical Sciences with a specialisation in Statistics and Stochastic Processes alongside the Bachelor of Commerce with a major in Actuarial Studies and taking the Accelerated Mathematics first-year mathematics pathway.
This is intended as an example course plan for one combination of major and specialisation; for other combinations of major, specialisation and first-year mathematics pathway the choice of subjects and their sequence might differ.
| Subjects counting towards the Diploma of Mathematical Sciences only | |
| Subjects counting towards Bachelor degree only | |
| Subjects cross credited so that they count towards both the Bachelor degree and the Diploma of Mathematical Sciences |
| Year 1, semester 1 | Level 1 MAST10008 Accelerated Mathematics 1 | Level 1 ECON10004 Introductory Microeconomics | Level 1 ACCT10001 Accounting Reports and Analysis | Level 1 CMCE10001 Sustainable Commerce |
|---|---|---|---|---|
| Year 1, semester 2 | Level 1 MAST10009 Accelerated Mathematics 2 | Level 1 ECON10003 Introductory Macroeconomics | Level 1 FNCE10002 Principles of Finance | Level 1 ACTL10001 Introduction to Actuarial Studies |
| Year 2, semester 1 | Level 2 MAST20004 Probability | Level 2 MGMT20001 Organisational Behaviour | Level 2 ACTL20001 Introductory Financial Mathematics | Level 2 ECON20002 Intermediate Microeconomics (or another level-2 Commerce elective subject) |
| Year 2, semester 2 | Level 2 MAST20005 Statistics | Level 3 MAST30001 Stochastic Modelling | Level 2 ACTL20003 Stochastic Techniques in Insurance | Level 2 ACTL20004 Topics in Actuarial Studies |
| Year 3, semester 1 | Level 3 MAST30025 Linear Statistical Models | Level 3 ACTL30001 Actuarial Modelling I | Level 3 ACTL30002 Actuarial Modelling II | Level 1 or 2 ACCT10002 Introductory Financial Accounting (or another Commerce elective subject) |
| Year 3, semester 2 | Level 3 MAST30027 Modern Applied Statistics | Level 3 ACTL30003 Contingencies | Level 3 ACTL30004 Actuarial Statistics | Level 3 ACTL30006 Intermediate Financial Mathematics |
| Year 4, semester 1 | Level 3 MAST30020 Probability for Inference | Level 3 ACTL30007 Actuarial Modelling III | Level 3 ACTL30008 Actuarial Analytics and Data I | Level 1 or 2 Breadth non-mathematics & statistics |