Mathematical Sciences
Unit of study table
Master of Mathematical Sciences |
||
|---|---|---|
| Students complete 96 credit points including: | ||
| (a) No more than 24 credit points of 3000-level electives; and | ||
| (b) No more than 48 credit points of 4000-level electives; and | ||
| (c) At least 12 credit points of 5000-level electives; and | ||
| (d) 24 credit points of research core project units. | ||
Graduate Diploma in Mathematical Sciences |
||
| Students must complete 72 credit points including: | ||
| (a) No more than 24 credit points of 3000-level electives; and | ||
| (b) At least 24 credit points of electives at 4000-level or above, and | ||
| (c) 24 credit points of research core project units | ||
Graduate Certificate in Mathematical Sciences |
||
| Students must complete 48 credit points including: | ||
| (a) No more than 24 credit points of 3000-level electives; and | ||
| (b) At least 24 credit points of electives at 4000-level or above. |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
3000-level electives |
||
| DATA3888 Data Science Capstone |
6 | P DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012 |
| FMAT3888 Projects in Financial Mathematics |
6 | A STAT2X11, MATH2X70 P (MATH2070 or MATH2970) and (STAT2011 or STAT2911) |
| MATH3061 Geometry and Topology |
6 | A Theory and methods of linear transformations and vector spaces, for example MATH2061, MATH2961 or MATH2022 P 12 credit points of MATH2XXX N MATH3001 or MATH3006 |
| MATH3066 Algebra and Logic |
6 | P 6 credit points of MATH2XXX N MATH3062 or MATH3065 |
| MATH3888 Projects in Mathematics |
6 | P (MATH2921 or MATH2021 or MATH2065 or MATH2965 or MATH2061 or MATH2961 or MATH2923 or MATH2023) and (MATH2922 or MATH2022 or MATH2061 or MATH2961 or MATH2088 or MATH2988) |
| MATH3975 Financial Derivatives (Advanced) |
6 | P A mark of 65 or above in 12 credit points from (MATH2XXX or STAT2XXX or DATA2X02) N MATH3933 or MATH3015 or MATH3075 MATH2X70 and MATH3975 may be taken in the same semester |
| STAT3021 Stochastic Processes |
6 | A Students are expected to have a thorough knowledge of basic probability and integral calculus P STAT2X11 N STAT3911 or STAT3011 or STAT3921 or STAT4021 |
| STAT3921 Stochastic Processes (Advanced) |
6 | A Students are expected to have a thorough knowledge of basic probability and integral calculus and to have achieved at credit level or above P STAT2X11 N STAT3011 or STAT3911 or STAT3021 or STAT3003 or STAT3903 or STAT3005 or STAT3905 or STAT4021 |
| STAT3888 Statistical Machine Learning |
6 | A STAT3012 or STAT3912 or STAT3022 or STAT3922 P STAT2X11 and (DATA2X02 or STAT2X12) N STAT3914 or STAT3014 |
| STAT3922 Applied Linear Models (Advanced) |
6 | P STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)] N STAT3912 or STAT3012 or STAT3022 or STAT4022 |
| STAT3923 Statistical Inference (Advanced) |
6 | P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12) N STAT3913 or STAT3013 or STAT3023 |
4000-level electives |
||
| AMSI4001 AMSI Summer School |
6 | A Completed a first degree with a major in Mathematics, Statistics, Financial Mathematics and Statistics, Data Science or equivalent This unit has been designed to enable University of Sydney students to continue to take advantage of the premier Mathematics and Statistics summer school held in Australia. The University of Queensland and Melbourne already offer similar shell units to their honours and masters students respectively. |
| MATH4061 Metric Spaces |
6 | A Real analysis and vector spaces. For example (MATH2922 or MATH2961) and (MATH2923 or MATH2962) P An average mark of 65 or above in 12 credit points from the following units (MATH2X21 or MATH2X22 or MATH2X23 or MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3078 or MATH3962 or MATH3963 or MATH3968 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3978 or MATH3979) N MATH3961 |
| MATH4062 Rings, Fields and Galois Theory |
6 | P (MATH2922 or MATH2961) or a mark of 65 or greater in (MATH2022 or MATH2061) or 12 credit points from (MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3078 or MATH3962 or MATH3963 or MATH3968 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3978 or MATH3979) N MATH3062 or MATH3962 |
| MATH4063 Dynamical Systems and Applications |
6 | P (A mark of 65 or greater in 12 credit points of MATH2XXX units of study) or [a mark of 65 or greater in (6 credit points of MATH2XXX) and (6 credit points of STAT2XXX)] or [12 credit points from (MATH3061 or MATH3066 or MATH3076 or MATH3078 or MATH3961 or MATH3962 or MATH3968 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3978 or MATH3979)] N MATH3063 or MATH3963 |
| MATH4068 Differential Geometry |
6 | A Vector calculus, differential equations and real analysis, for example MATH2X21 and MATH2X23 P (A mark of 65 or greater in 12 credit points of MATH2XXX units of study) or [12 credit points from (MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3078 or MATH3961 or MATH3962 or MATH3963 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3978 or MATH3979)] N MATH3968 |
| MATH4069 Measure Theory and Fourier Analysis |
6 | A (MATH2921 and MATH2922) or MATH2961 P (A mark of 65 or greater in 12 credit points of MATH2XXX units of study) or [12 credit points from the following units (MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3078 or MATH3961 or MATH3962 or MATH3963 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3978 or MATH3979)] N MATH3969 |
| MATH4071 Convex Analysis and Optimal Control |
6 | A MATH2X21 and MATH2X23 and STAT2X11 P [A mark of 65 or above in 12cp of (MATH2XXX or STAT2XXX or DATA2X02)] or [12cp of (MATH3XXX or STAT3XXX)] N MATH3971 |
| MATH4074 Fluid Dynamics |
6 | A (MATH2961 and MATH2965) or (MATH2921 and MATH2922) P (A mark of 65 or above in 12 credit points of MATH2XXX) or (12 credit points of MATH3XXX) N MATH3974 |
| MATH4076 Computational Mathematics |
6 | A (MATH2X21 and MATH2X22) or (MATH2X61 and MATH2X65) P [A mark of 65 or above in (12 credit points of MATH2XXX) or (6 credit points of MATH2XXX and 6 credit points of STAT2XXX or DATA2X02)] or (12 credit points of MATH3XXX) N MATH3076 or MATH3976 |
| MATH4077 Lagrangian and Hamiltonian Dynamics |
6 | A 6 credit points of 1000 level calculus units and 3 credit points of 1000 level linear algebra and (MATH2X21 or MATH2X61) P (A mark of 65 or greater in 12 credit points of MATH2XXX units of study) or [12 credit points from (MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3078 or MATH3961 or MATH3962 or MATH3963 or MATH3968 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3978 or MATH3979)] N MATH3977 |
| MATH4078 PDEs and Applications |
6 | A (MATH2X61 and MATH2X65) or (MATH2X21 and MATH2X22) P [A mark of 65 or greater in 6 credit points from (MATH2X21 or MATH2X65 or MATH2067) and a mark of 65 or greater 6 credit points from (MATH2X22 or MATH2X61)] or [12 credit points from (MATH3061 or MATH3066 or MATH3063 or MATH3076 or MATH3961 or MATH3962 or MATH3963 or MATH3968 or MATH3969 or MATH3971 or MATH3974 or MATH3976 or MATH3977 or MATH3979)] N MATH3078 or MATH3978 |
| MATH4079 Complex Analysis |
6 | A Good knowledge of analysis of functions of one real variable, working knowledge of complex numbers, including their topology, for example MATH2X23 or MATH2962 or MATH3068 P (A mark of 65 or above in 12 credit points of MATH2XXX) or (12 credit points of MATH3XXX) N MATH3979 or MATH3964 |
| MATH4511 Arbitrage Pricing in Continuous Time |
6 | A Familiarity with basic probability (eg STAT2X11), with differential equations (eg MATH3X63, MATH3X78), achievement at credit level or above in MATH3XXX or STAT3XXX units or equivalent P MATH2XXX and (a mark of 65 or above in MATH3XXX or STAT3021 or STAT3921) |
| MATH4512 Stochastic Analysis |
6 | A A thorough knowledge of vector calculus (e.g., MATH2X21), linear algebra (e.g., MATH2X22) and probability (preferably STAT4528, could be another course covering measure theoretic probability or measure theory). Some familiarity with partial differential equations (e.g., MATH3X78) would be useful. |
| MATH4513 Topics in Financial Mathematics |
6 | A Students are expected to have working knowledge of Stochastic Processes, Stochastic Calculus and mathematical methods used to price options and other financial derivatives, for example as in MATH4511 or equivalent |
| MATH4311 Algebraic Topology |
6 | A Familiarity with abstract algebra and basic topology, e.g., (MATH2922 or MATH2961 or equivalent), (MATH3961 or equivalent) and (MATH2923 or equivalent) |
| MATH4312 Commutative Algebra |
6 | A Familiarity with abstract algebra, e.g., MATH2922 or equivalent |
| MATH4313 Functional Analysis |
6 | A Real Analysis and abstract linear algebra (e.g., MATH2X23 and MATH2X22 or equivalent), and, preferably, knowledge of Metric Spaces |
| MATH4314 Representation Theory |
6 | A Familiarity with abstract algebra, specifically vector space theory and basic group theory, e.g., MATH2922 or MATH2961 or equivalent N MATH3966 |
| MATH4315 Variational Methods |
6 | A Assumed knowledge of MATH2X23 or equivalent; MATH4061 or MATH3961 or equivalent; MATH3969 or MATH4069 or MATH4313 or equivalent. That is, real analysis, basic functional analysis and some acquaintance with metric spaces or measure theory. |
| MATH4411 Applied Computational Mathematics |
6 | A A thorough knowledge of vector calculus (e.g., MATH2X21) and of linear algebra (e.g., MATH2X22). Some familiarity with partial differential equations (e.g., MATH3X78) and mathematical computing (e.g., MATH3X76) would be useful |
| MATH4412 Advanced Methods in Applied Mathematics |
6 | A A thorough knowledge of vector calculus (e.g., MATH2X21) and of linear algebra (e.g., MATH2X22). Some familiarity with partial differential equations (e.g., MATH3X78) and mathematical computing (e.g., MATH3X76) would be useful |
| MATH4413 Applied Mathematical Modelling |
6 | A MATH2X21 and MATH3X63 or equivalent. That is, a knowledge of linear and simple nonlinear ordinary differential equations and of linear, second order partial differential equations. |
| MATH4414 Advanced Dynamical Systems |
6 | A Assumed knowledge is vector calculus (e.g., MATH2X21), linear algebra (e.g., MATH2X22), dynamical systems and applications (e.g., MATH4063 or MATH3X63) or equivalent. Some familiarity with partial differential equations (e.g., MATH3978) and mathematical computing (e.g., MATH3976) is also assumed. |
| STAT4021 Stochastic Processes and Applications |
6 | A Students are expected to have a thorough knowledge of basic probability and integral calculus and to have achieved at credit level or above in their studies in these topics N STAT3011 or STAT3911 or STAT3021 or STAT3003 or STAT3903 or STAT3005 or STAT3905 or STAT3921 |
| STAT4022 Linear and Mixed Models |
6 | A Material in DATA2X02 or equivalent and MATH1002 or MATH1X61 or equivalent; that is, a knowledge of applied statistics and an introductory knowledge to linear algebra, including eigenvalues and eigenvectors P An average mark of 65 or above in 12 credit points from (STAT2X11 or DATA2X02 or STAT3X23 or STAT3X21 or STAT3925 or STAT3888 or DATA3888) N STAT3012 or STAT3912 or STAT3022 or STAT3922 or STAT3004 or STAT3904 |
| STAT4023 Theory and Methods of Statistical Inference |
6 | A STAT2X11 and (DATA2X02 or STAT2X12) or equivalent. That is, a grounding in probability theory and a good knowledge of the foundations of applied statistics N STAT3013 or STAT3913 or STAT3023 or STAT3923 |
| STAT4025 Time Series |
6 | P STAT2X11 and (MATH1062 or MATH1962 or MATH1972 or MATH1X03 or MATH1907 or MATH1X23 or MATH1933) N STAT3925 |
| STAT4026 Statistical Consulting |
6 | P DATA2X02 and 12 credit points from (STAT3XXX or DATA3XXX) N STAT3926 |
| STAT4027 Advanced Statistical Modelling |
6 | A A three year major in statistics or equivalent including familiarity with material in DATA2X02 and STAT3X22 (applied statistics and linear models) or equivalent P (STAT3X12 or STAT3X22 or STAT4022) and (STAT3X13 or STAT3X23 or STAT4023) |
| STAT4028 Probability and Mathematical Statistics |
6 | A STAT3X23 or equivalent: that is, a sound working and theoretical knowledge of statistical inference N STAT4528 |
| STAT4528 Probability and Martingale Theory |
6 | A STAT2X11 or equivalent and STAT3X21 or equivalent; that is, a good foundational knowledge of probability and some acquaintance with stochastic processes N STAT4028 |
5000-level electives |
||
| DATA5441 Networks and High-dimensional Inference |
6 | A Linear algebra (matrices, eigenvalues, etc.); introductory concepts in statistics (statistical models, inference); a programming language |
| DATA5710 Applied Statistics for Complex Data |
6 | A Strong background in statistical modelling and coding. Please consult with the coordinator for further information This unit is only available in even years. |
| DATA5711 Bayesian Computational Statistics |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information. This unit is only available in odd years. |
| MATH5311 Topics in Algebra (Alt) |
6 | A Familiarity with abstract algebra (e.g., MATH4062 or equivalent) and commutative algebra (e.g., MATH4312 or equivalent). Please consult with the coordinator for further information |
| MATH5320 Topics in Analysis |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and higher analysis (e.g., MATH4313 or MATH4315 or equivalent). Please consult with the coordinator for further information |
| MATH5321 Topics in Analysis (Alt) |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and higher analysis (e.g., MATH4313 or MATH4315 or equivalent). Please consult with the coordinator for further information. |
| MATH5330 Topics in Geometry |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and differential geometry (e.g., MATH4068 or equivalent). Please consult with the coordinator for further information |
| MATH5331 Topics in Geometry (Alt) |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and differential geometry (e.g., MATH4068 or equivalent). Please consult with the coordinator for further information. |
| MATH5340 Topics in Topology |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and algebraic topology (e.g., MATH4311 or equivalent). Please consult with the coordinator for further information |
| MATH5341 Topics in Topology (Alt) |
6 | A Familiarity with metric spaces (e.g., MATH4061 or equivalent) and algebraic topology (e.g., MATH4311 or equivalent). Please consult with the coordinator for further information. |
| MATH5410 Special Topics in Applied Mathematics |
6 | A Familiarity with the methods of classical applied mathematics (e.g., MATH4412) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4411 or equivalent). Please consult with the coordinator for further information |
| MATH5411 Special Topics in Applied Mathematics (Alt) |
6 | |
| MATH5420 Deterministic and Stochastic Systems |
6 | A Familiarity with the methods of classical applied mathematics (e.g., MATH4412) and some experience of probabilistic systems (e.g., STAT3021, MATH4311 or equivalent). Please consult with the coordinator for further information |
| MATH5421 Deterministic and Stochastic Systems (Alt) |
6 | A Familiarity with the methods of classical applied mathematics (e.g., MATH4412) and some experience of probabilistic systems (e.g., STAT3021, MATH4311 or equivalent). Please consult with the coordinator for further information. |
| MATH5431 Mathematical Models for Natural Phenomena Alt |
6 | A Familiarity with the modelling and analysis using differential equations (e.g., MATH3063, MATH4063, MATH3078, MATH4078 or MATH4074) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4076 or MATH3076 or MATH4411 or equivalent). Please consult with the coordinator for further information. |
| MATH5551 Stochastics and Finance |
6 | A Students should have a sound knowledge of probability theory and stochastic processes from, for example, STAT2X11 and STAT3021 or equivalent. This unit is only available in odd years. |
| STAT5610 Advanced Inference |
6 | A Strong background in probability theory and statistical modelling. Please consult with the coordinator for further information This unit is only available in even years. |
| STAT5611 Statistical Methodology |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information |
Research core project units |
||
| MSCI5101 Mathematical Sciences Project A |
6 | A A major in mathematics, statistics, data science, or financial mathematics and statistics, with a WAM of 65 or equivalent |
| MSCI5102 Mathematical Sciences Project B |
6 | A A major in mathematics, statistics, data science, or financial mathematics and statistics, with a WAM of 65 or equivalent C MSCI5101 |
| MSCI5103 Mathematical Sciences Project C |
6 | A A major in mathematics, statistics, data science, or financial mathematics and statistics, with a WAM of 65 or equivalent C MSCI5102 |
| MSCI5104 Mathematical Sciences Project D |
6 | A A major in mathematics, statistics, data science, or financial mathematics and statistics, with a WAM of 65 or equivalent C MSCI5103 |
