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Students
Tuition Fee
AUD 16,000
Per course
Start Date
Medium of studying
Fully Online
Duration
6 months
Program Facts
Program Details
Degree
Diploma
Major
Mathematics | Pure Mathematics | Applied Mathematics
Area of study
Mathematics and Statistics
Education type
Fully Online
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 16,000
Intakes
Program start dateApplication deadline
2024-07-08-
2024-02-26-
About Program

Program Overview


The Graduate Certificate in Mathematics is a flexible online program that provides a tailored study plan in algebra and calculus. It includes core subjects in computer-aided mathematics and offers restricted electives in various mathematical topics. The program can be completed in 0.5 year full-time or 1 year part-time, and graduates may find opportunities in fields like finance, insurance, engineering, and teaching.

Program Outline

Outline:

  • Program Content and Structure
  • The Graduate Certificate in Mathematics is a short program of postgraduate study that provides a flexible and tailored study program to suit your needs. It includes topics in algebra and calculus that every advanced user of mathematics needs to know. You'll be introduced to a mathematical computer software program, Maple, and encouraged to use this when solving more advanced problems. The program is offered fully online and can be completed in 0.5 year full-time or 1 year part-time. The program consists of 32 credit points, which includes 8 credit point core subjects in Computer Aided Mathematics 1 and 2 with Applications, and 16 credit points of restricted electives chosen from a list of mathematics subjects. Students may choose to complete the program in one year, or may fast-track completion of the degree by undertaking two or more subjects per session, with approval.

Individual Modules with Descriptions

  • Core Subjects
  • >
  • Computer Aided Mathematics 1 with Applications (8 credit points)
  • This subject introduces the use of a computer algebra software package to solve problems in mathematics. Topics include: solving equations and systems of equations, working with polynomials, matrices and vectors, and differentiation and integration. >
  • Computer Aided Mathematics 2 with Applications (8 credit points)
  • This subject builds on the skills developed in Computer Aided Mathematics 1 and applies them to more advanced mathematical problems. Topics include: solving differential equations, working with complex numbers, and using numerical methods to solve problems.
  • Restricted Electives
  • Students may choose two restricted electives from the following list: >
  • Introductory Mathematics (8 credit points)
  • This subject is designed for students who have not studied mathematics for some time, or who have not studied mathematics to a sufficiently high level. Topics include: algebra, trigonometry, and calculus. >
  • Multivariable Calculus (8 credit points)
  • This subject extends the concepts of single-variable calculus to functions of several variables. Topics include: partial derivatives, multiple integrals, and vector calculus. >
  • Ordinary Differential Equations (8 credit points)
  • This subject introduces the theory and applications of ordinary differential equations. Topics include: first-order equations, second-order equations, and systems of equations. >
  • Principles of Operations Research (8 credit points)
  • This subject provides an introduction to the principles and techniques of operations research. Topics include: linear programming, integer programming, and network optimization. >
  • Complex Analysis (8 credit points)
  • This subject introduces the theory of complex numbers and complex functions. Topics include: analytic functions, Cauchy's integral theorem, and the residue theorem. >
  • Mathematical Modelling (8 credit points)
  • This subject introduces the process of mathematical modelling. Topics include: problem formulation, model building, and model analysis. >
  • Topics in Calculus (8 credit points)
  • This subject explores advanced topics in calculus. Topics may vary from year to year, but may include: Fourier series, Laplace transforms, and vector calculus. >
  • Linear Algebra (8 credit points)
  • This subject introduces the theory of linear algebra. Topics include: vector spaces, matrices, and linear transformations. >
  • Scientific Data Analysis (8 credit points)
  • This subject introduces the principles of scientific data analysis. Topics include: descriptive statistics, inferential statistics, and regression analysis.

Teaching:

The program is delivered flexibly so you can combine work and part-time study. You can also choose to study just one subject in an academic session or, with approval, fast-track completion of your degree by undertaking two or more subjects per session. The program utilizes blended learning techniques including video-captured lectures, online meetings, subject forums, and online subject resources.


Careers:

Graduates of this course may find opportunities in fields such as finance, insurance and engineering. The degree also provides additional skills for those who teach mathematics or aspire to. However, to formally add mathematics as a second high school teaching area, teachers must complete the Graduate Diploma of Mathematics.

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