Mathematics and Statistics

Major/Minor/Specialisation !GDA-SCI-SPC+1012 (2016)

Note: This is an archived Handbook entry from 2016.

Year and Campus:	2016

Coordinator

Professor Aihua Xia

Contact

Email: aihuaxia@unimelb.edu.au

Overview:	Entry Requirements: Prior studies in Mathematics and Statistics including at least two first year and three second or higher level subjects, with at least an H3 (65%) mark for each of the two best second or higher level subjects. If students have completed accelerated subjects then one fewer subject can be deemed appropriate.
Learning Outcomes:	The objectives of this diploma are to: further the understanding of Mathematics and Statistics across a wide range of theoretical and practical topics; encourage the development of abilities to think critically and independently; provide a pathway for entry into graduate study in Mathematics and Statistics for students whose main undergraduate field of study was not Mathematics and/or Statistics.
Structure & Available Subjects:	The Mathematics and Statistics program consists of eight Coursework subjects only (100 points). Subjects are chosen from three sources. 1. Advanced Discipline Subjects available to students enrolled into Master of Science (Mathematics and Statistics). The advanced discipline subjects are clustered into four areas: Applied Mathematics & Mathematical Physics Discrete Mathematics and Operations Research Specialisation Pure Mathematics Statistics & Stochastic Processes. 2. Students may choose MAST90045 Systems Modelling and Simulation. 3. Students may select up to four subjects from latter-year, normally third year, undergraduate Mathematics and Statistics subjects subject to Departmental Program Coordinator approval.
Subject Options:	*Subject prerequisites:* For stream specific requirements please click here. Coursework It is recommended that students take at least three subjects from a single specialisation. - Applied Mathematics and Mathematical Physics Specialisation Subject Study Period Commencement: Credit Points: MAST90066 Continuum Mechanics and Applications Not offered in 2016 12.50 MAST90067 Advanced Methods: Transforms Not offered in 2016 12.50 MAST90069 Introduction to String Theory Not offered in 2016 12.50 MAST90060 Mathematical Statistical Mechanics Not offered in 2016 12.5 MAST90064 Advanced Methods: Differential Equations Not offered in 2016 12.5 MAST90065 Exactly Solvable Models Not offered in 2016 12.5 MAST90011 Mathematical Biology Semester 2 12.5 MAST90026 Computational Differential Equations Semester 1 12.5 Discrete Mathematics and Operations Research Specialisation Subject Study Period Commencement: Credit Points: MAST90014 Optimisation for Industry Semester 1 12.50 MAST90030 Advanced Discrete Mathematics Semester 2 12.50 MAST90050 Scheduling and Optimisation Not offered in 2016 12.50 MAST90013 Network Optimisation Not offered in 2016 12.5 MAST90031 Enumerative Combinatorics Not offered in 2016 12.5 MAST90053 Experimental Mathematics Semester 1 12.5 Pure Mathematics Specialisation Subject Study Period Commencement: Credit Points: MAST90012 Measure Theory Not offered in 2016 12.5 MAST90017 Representation Theory Not offered in 2016 12.5 MAST90029 Differential Topology and Geometry Not offered in 2016 12.5 MAST90056 Riemann Surfaces and Complex Analysis Not offered in 2016 12.5 MAST90020 Functional Analysis Semester 2 12.5 MAST90023 Algebraic Topology Semester 1 12.5 MAST90025 Commutative and Multilinear Algebra Semester 1 12.5 MAST90068 Groups, Categories & Homological Algebra Semester 2 12.5 Statistics and Stochastic Processes Specialisation Subject Study Period Commencement: Credit Points: MAST90019 Random Processes Semester 2 12.50 MAST90082 Mathematical Statistics Semester 1 12.50 MAST90051 Mathematics of Risk Not offered in 2016 12.50 MAST90059 Stochastic Calculus with Applications Not offered in 2016 12.5 MAST90080 Advanced Modelling: Case Studies Not offered in 2016 12.5 MAST90083 Computational Statistics and Data Mining Not offered in 2016 12.5 MAST90085 Multivariate Statistical Techniques Not offered in 2016 12.5 MAST90027 The Practice of Statistics Semester 2 12.5 MAST90081 Advanced Probability Semester 1 12.5 MAST90084 Statistical Modelling Semester 1 12.5 - Students may also choose the following: Subject Study Period Commencement: Credit Points: MAST90045 Systems Modelling and Simulation Semester 1 12.50
Links to further information:	http://graduate.science.unimelb.edu.au
Notes:	This program has a start-year and a mid-year intake.
Related Course(s):	Graduate Diploma in Science (Advanced)

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