Mathematics/Computer Science

Bachelor's degree

In Brisbane (Australia)

£ 40,272 VAT inc.

Description

  • Type

    Bachelor's degree

  • Location

    Brisbane (Australia)

  • Duration

    4 Years

  • Credits

    64

Why study the Bachelors of Mathematics/Computer ScienceThe dual four-year program provides students with a focused background in Computer Science along with the in-depth knowledge of a mathematics degree.The Computer Science component combines the theoretical studies of algorithms and data structures, with the practical challenges of implementing them in hardware and software systems.In the Mathematics component you will develop a comprehensive specialised knowledge in one field of mathematics or a high level of sophistication in the applications of mathematics. Modern computation, advances in scientific technology and the increasing production of data have all increased the scope for applications of mathematics well beyond the traditional areas of engineering and the physical sciences, to include fields such as finance, economics, information technology and molecular biology. There is increasing recognition that graduates with high-level quantitative and analytic skills will play a key role at the forefront of new developments in these and other fields.

Facilities

Location

Start date

Brisbane (Australia)
See map
Street Lucia, QLD 4072

Start date

On request

About this course

Entry requirementsYear 12 or equivalent English and Mathematics B. Mathematics C is recommended.View the equivalent qualifications for international students.IELTS overall 6.5; reading 6; writing 6; speaking 6; listening 6. For other English Language Proficiency Tests and Scores approved for UQ, view the English proficiency policy.International students who are accepted into full-time study in the Bachelors of Mathematics/Computer Science are eligible to apply for an Australian student visa .The Australian Government has simplified the visa...

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

Subjects

  • GCSE Physics
  • Probability
  • GCSE Mathematics
  • Computational
  • Applied Mathematical
  • Financial Training
  • Technology
  • Financial
  • Algebra
  • Calculus
  • Mathematics
  • Algorithms

Course programme



Program structure
The Bachelors of Mathematics/Computer Science is made up of two course lists:
Course list for the Bachelor of Mathematics Course list for the Bachelor of Computer Science
Each course is allocated a certain number of units (#). A standard full-time study load is 8 units per semester.
The Bachelors of Mathematics/Computer Science has a single set of Program Rules, which explain what is required to complete the dual program. These requirements include the total number of units you need to complete in order to graduate.
If you decide to enrol in a dual program, you can use a Dual Degree Planner to help organise your studies.
To have your degree conferred, you also need to comply with UQ’s policies and rules.
  • Course Code Units Course Title
  • [ MATH1051 2 Calculus & Linear Algebra I [1]
  • [ or
  • [ MATH1071 2 Advanced Calculus & Linear Algebra I [2]
  • [ MATH1052 2 Multivariate Calculus & Ordinary Differential Equations
  • [ or
  • [ MATH1072 2 Advanced Multivariate Calculus & Ordinary Differential Equations [2]
  • MATH1061 2 Discrete Mathematics
  • MATH2001 2 Advanced Calculus and Linear Algebra II
  • [ MATH2400 2 Mathematical Analysis
  • [ or
  • [ MATH2401 2 Mathematical Analysis and Advanced Topics [2]
  • MATH3401 2 Complex Analysis
  • STAT1301 2 Advanced Analysis of Scientific Data

Part B

  • Course Code Units Course Title
  • COSC2500 2 Numerical Methods in Computational Science
  • MATH2100 2 Applied Mathematical Analysis
  • MATH3102 2 Methods & Models of Applied Mathematics
  • Course Code Units Course Title
  • PHYS2100 2 Dynamics, Chaos & Special Relativity
  • STAT2003 2 Probability & Statistics
  • Course Code Units Course Title
  • MATH3090 2 Financial Mathematics
  • MATH3101 2 Bifurcation and Chaos
  • MATH3104 2 Mathematical Biology
  • MATH3201 2 Scientific Computing: Advanced Techniques and Applications
  • MATH3403 2 Partial Differential Equations
  • MATH3404 2 Optimisation Theory
  • STAT3004 2 Probability Models & Stochastic Processes
  • Course Code Units Course Title
  • COSC2500 2 Numerical Methods in Computational Science
  • STAT2003 2 Probability & Statistics
  • STAT2004 2 Statistical Modelling & Analysis
  • STAT3001 2 Mathematical Statistics
  • MATH3202 2 Operations Research & Mathematical Planning
  • Course Code Units Course Title
  • COSC3000 2 Visualization, Computer Graphics & Data Analysis
  • MATH3090 2 Financial Mathematics
  • MATH3404 2 Optimisation Theory
  • MATH4202 2 Advanced Topics in Operations Research
  • STAT3003 2 Experimental Design
  • STAT3004 2 Probability Models & Stochastic Processes
  • STAT3306 2 Statistical Analysis of Genetic Data
  • STAT3500 2 Problems & Applications in Modern Statistics
  • Course Code Units Course Title
  • MATH2100 2 Applied Mathematical Analysis
  • MATH2301 2 Linear & Abstract Algebra & Number Theory
  • MATH3103 2 Algebraic Methods of Mathematical Physics
  • Course Code Units Course Title
  • COSC2500 2 Numerical Methods in Computational Science
  • STAT2003 2 Probability & Statistics
  • PHYS2100 2 Dynamics, Chaos & Special Relativity
  • Course Code Units Course Title
  • MATH3101 2 Bifurcation and Chaos
  • MATH3102 2 Methods & Models of Applied Mathematics
  • MATH3303 2 Abstract Algebra & Number Theory
  • MATH3402 2 Functional Analysis
  • MATH3403 2 Partial Differential Equations
  • MATH3405 2 Differential Geometry
  • STAT3004 2 Probability Models & Stochastic Processes
  • Course Code Units Course Title
  • MATH2301 2 Linear & Abstract Algebra & Number Theory
  • Course Code Units Course Title
  • MATH2100 2 Applied Mathematical Analysis
  • MATH2302 2 Discrete Mathematics II
  • PHYS2100 2 Dynamics, Chaos & Special Relativity
  • STAT2003 2 Probability & Statistics
  • Course Code Units Course Title
  • MATH3301 2 Graph Theory and Design Theory
  • MATH3303 2 Abstract Algebra & Number Theory
  • MATH3402 2 Functional Analysis
  • Course Code Units Course Title
  • MATH3103 2 Algebraic Methods of Mathematical Physics
  • MATH3301 2 Graph Theory and Design Theory
  • MATH3302 2 Coding & Cryptography
  • MATH3303 2 Abstract Algebra & Number Theory
  • MATH3306 2 Set Theory & Mathematical Logic
  • MATH3402 2 Functional Analysis
  • MATH3403 2 Partial Differential Equations
  • MATH3404 2 Optimisation Theory
  • MATH3405 2 Differential Geometry
  • STAT3004 2 Probability Models & Stochastic Processes
  • Course Code Units Course Title
  • COSC2500 2 Numerical Methods in Computational Science
  • STAT2003 2 Probability & Statistics
  • STAT2004 2 Statistical Modelling & Analysis
  • STAT3001 2 Mathematical Statistics
  • STAT3003 2 Experimental Design
  • STAT3004 2 Probability Models & Stochastic Processes
  • STAT3500 2 Problems & Applications in Modern Statistics
  • Course Code Units Course Title
  • MATH3090 2 Financial Mathematics
  • MATH3202 2 Operations Research & Mathematical Planning
  • MATH3404 2 Optimisation Theory
  • STAT3306 2 Statistical Analysis of Genetic Data
  • Course Code Units Course Title
  • MATH1050 2 Mathematical Foundations [3]
  • MATH2070 2 Natural Resource Mathematics
  • PHYS2100 2 Dynamics, Chaos & Special Relativity
  • SCIE1000 2 Theory & Practice in Science
  • SCIE2100 2 Introduction to Bioinformatics
  • [ SCIE3250 2 Introduction to Research in Mathematics/Physics
  • [ or
  • [ SCIE3251 2 Introduction to Research in Mathematics/Physics
  • SCIE3255 2 Mathematics & Physics Industry Project

Part D

  • Course Code Units Course Title
  • BIOL1020 2 Genes, Cells & Evolution
  • CSSE1001 2 Introduction to Software Engineering
  • Course Code Units Course Title
  • SCIE2100 2 Introduction to Bioinformatics
  • BIOL3014 2 Advanced Bioinformatics
  • Course Code Units Course Title
  • CSSE1001 2 Introduction to Software Engineering
  • CSSE2002 2 Programming in the Large
  • COMP3506 2 Algorithms & Data Structures
  • Course Code Units Course Title
  • INFS1200 2 Introduction to Information Systems
  • COSC3000 2 Visualization, Computer Graphics & Data Analysis
  • COSC3500 2 High-Performance Computing
  • Course Code Units Course Title
  • PHYS1001 2 Mechanics & Thermal Physics I
  • PHYS1002 2 Electromagnetism and Modern Physics
  • Course Code Units Course Title
  • PHYS2020 2 Thermodynamics & Condensed Matter Physics
  • PHYS2041 2 Quantum Physics
  • PHYS2055 2 Introduction to Fields in Physics

Mathematics/Computer Science

£ 40,272 VAT inc.