This page was first published on 15 November 2023 and was last amended on 8 February 2024. View details of the changes below. |
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Students in the Bachelor of Advanced Studies (Science) must complete a minimum of 24 credit points of 4000-level units from Table A, Advanced Coursework Science, comprising | |||
(i) 12-36 credit points of 4000-level Advanced Coursework project units | |||
(ii) Science Advanced Coursework units listed below |
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
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Advanced Coursework project |
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GEOS4888 Advanced Geosciences Project |
12 | A A major in Geology and Geophysics, Geography, Environmental Studies or Marine Science P 144 credit points of units of study including 6cp of (ENVI3888 or GEOG3888 or GEOL3888 or MARS3888) |
HPSC4888 HPS Advanced Project |
12 | A Major or Minor in History and Philosophy of Science P 144 credit points of units of study including 12cp of HPSC3XXX or HSTY3XXX or PHIL3XXX This unit is for 4th year non-honours students who wish to undertake a supervised reserach project on a smaller scale than the hons project. |
LIFE4888 Applied Life Sciences Project |
12 | A Completion of a Table A Science major. P 144 cp of units of study of which a minimum needs to be 24 cp of 3000-level or 4000-level units of study N AFNR410X or AGRI410X or AVBS4015 or AVBS4016 or AVBS4017 or AVBS4018 or ENVX410X or FOOD410X or QBIO410X or SOIL410X or WILD410X This Unit of Study is best suited for students in Life and Environmental Sciences. Field work may form part of the project. |
PHYS4888 Advanced Physics Project |
12 | A 48 credit points of 3000-level units of study P 144 credit points of units of study including PHYS3X34 and PHYS3X35 This unit is for 4th year non-honours students who want to complete a research project in a small group. |
PSYC4888 Advanced Psychology Project |
12 | A Have sound knowledge of the main discipline areas of psychological science as well as training in empirical research methods and statistics, and should have the ability to apply this knowledge, training and methodology in a collaborative project setting P PSYC2012 and [(18cp of PSYC3XXX) or (12cp of PSYC3XXX and SCPU3001) or (6cp of PSYC3XXX and SCPU3001 and HPSC3023)] This unit is for 4th year students who want to complete a research project in a small group. Student numbers in this unit are limited due to project availability. Admission will be based on a "first come, first served" basis. Students will not be admitted after week 2 of semester as project groups will have already been formed. |
SCPU4001 Industry and Community Science Project A |
6 | A Depth of knowledge in at least one Science discipline (completion of a major) P 144 credit points of units of study and including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A C SCPU4002 |
SCPU4002 Industry and Community Science Project B |
6 | A Depth of knowledge in at least one Science discipline (completion of a major) P 144 credit points of units of study and including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A C SCPU4001 |
Science Advanced Coursework |
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SCIE4001 Science Communication |
6 | A Completion of a major in a science discipline. Basic knowledge of other sciences is beneficial. Experience in communication such as delivering oral presentations and producing written reports. An awareness of science in a societal context, e.g., of disciplinary applications P 144 credit points of units of study and including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A or Medicine and Health Table A. Mid-year honours students would take this unit of study in S1 (their second semester of study). |
SCIE4002 Experimental Design and Data Analysis |
6 | A Completion of units in quantitative research methods, mathematics or statistical analysis at least at 1000-level P 144 credit points of units of study and including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A or FMH Table A. N ENVX3002 or STAT3X22 or STAT4022 or STAT3X12 |
SCIE4003 Ethics in Science |
6 | A Successful completion of a Science major P 144 credit points of units of study and including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A or FMH Table A N HSBH3004 or HPSC3107 |
PSYC4004 Applied Psychology in the Workplace |
6 | A Students should have the ability to read and interpret findings from scientific research, and have a basic familiarity with the empirical process P (144 cp of which a minimum needs to be 24 cp of 3000-level or 4000-level units of study) or (12 cp PSYC3XXX) N PSYC4730 |
PSYC4005 Coaching Skills for Work and Life |
6 | A Students should have the ability to read and interpret findings from scientific research, and have a basic familiarity with the empirical process P (144 cp of which a minimum needs to be 24 cp of 3000-level or 4000-level units of study) or (12 cp PSYC3XXX) N PSYC4721 or PSYC4722 |
PSYC4006 Positive Psychology, Resilience and Happiness |
6 | A Students should have the ability to read and interpret findings from scientific research, and have a basic familiarity with the empirical process P (144 cp of which a minimum needs to be 24 cp of 3000-level or 4000-level units of study) or (12 cp PSYC3XXX) N PSYC4730 or PSYC4723 |
AGRI4001 Advanced Plant Production Systems |
6 | P 144 credit points of units including AGRI2001 and AGRI3888 Some activities will take place at the University's Camden campus and/or at other field sites around NSW. |
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. |
AVBS4020 ONE Health |
6 | A Fundamental understanding of disease epidemiology and risk P 144 cp of units including AVBS3001 or FOOD3000 or VIRO3X01 or MICR3X52 or BIOL3019 or BIOL3033 N AVBS4004 The unit will be a core unit for BAS (Animal Health, Disease and Welfare) Honours, all students in this honours programme will take this unit. |
ENVX4001 GIS, Remote Sensing and Land Management |
6 | A Basic GIS knowledge. Completion of at least a major or minor P 144 cp of 1000-3000 level units |
FOOD4002 Future Foods |
6 | P 144 credit point of units of study including 12cp of FOOD3XXX |
HPSC4101 Philosophy of Science |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HPSC4102 History of Science |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HPSC4103 Sociology of Science |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HPSC4104 Recent Topics in HPS |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HPSC4105 HPS Research Methods |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HPSC4108 Core topics: History and Philosophy of Sci |
6 | P 12 credit points of HPSC3XXX or PHIL3XXX or HSTY3XXX |
HSBH4101 Research Design and Analysis in Health |
6 | A 48cp of 3000 level units of study |
LIFE4000 Data and Technology for the Life Sciences |
6 | A Completion of units in quantitative research methods, mathematics or statistical analysis at least at 1000-level P 144 credit points of units of study including a minimum of 24 credit points at the 3000- or 4000-level and 18 credit points of 3000- or 4000-level units from Science Table A or 1 |
LIFE4101 Advanced Life Science |
6 | A This unit is advanced coursework related to understanding cellular and molecular processes in biology. It assumes background knowledge of cellular and molecular biological aspects of the life sciences consistent with a degree major in Biochemistry, Biochemistry and Molecular Biology, Cell and Developmental Biology, Cell Pathology, Genetics and Genomics, Immunobiology, Infectious Diseases, Medical Science, Microbiology, Molecular Biology and Genetics, Nutrition and Metabolism, Nutrition Science, or Quantitative Life Sciences P A WAM of 65 or greater. 144 credit points of units of study, including a minimum of 12 credit points from the following (AMED3XXX or ANAT3XXX or ANSC3105 or BCHM3XXX or BCMB3XXX or BIOL3XXX or CPAT3XXX or ENVX3XXX or FOOD3XXX or GEGE3XXX or HSTO3XXX or IMMU3XXX or INFD3XXX or MEDS3XXX or MICR3XXX or NEUR3XXX or NUTM3XXX or PCOL3XXX or PHSI3XXX or QBIO3XXX or SCPU3001 or STAT3XXX or VIRO3XXX) This unit must be taken by all students in Biochemistry and Molecular Biology honours or Microbiology honours. |
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 12cp 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 12cp 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 | A Linear ODEs (for example, MATH2921), eigenvalues and eigenvectors of a matrix, determinant and inverse of a matrix and linear coordinate transformations (for example, MATH2922), Cauchy sequence, completeness and uniform convergence (for example, MATH2923) P (A mark of 65 or greater in 12cp of MATH2XXX units of study) or [12cp 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 12cp of MATH2XXX units of study) or [12cp 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 12cp of MATH2XXX units of study) or [12cp 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 12cp of MATH2XXX) or (12cp of MATH3XXX) N MATH3974 |
MATH4076 Computational Mathematics |
6 | A (MATH2X21 and MATH2X22) or (MATH2X61 and MATH2X65) P [A mark of 65 or above in (12cp of MATH2XXX) or (6cp of MATH2XXX and 6cp of STAT2XXX or DATA2X02)] or (12cp of MATH3XXX) N MATH3076 or MATH3976 |
MATH4077 Lagrangian and Hamiltonian Dynamics |
6 | A 6cp of 1000 level calculus units and 3cp of 1000 level linear algebra and (MATH2X21 or MATH2X61) P (A mark of 65 or greater in 12cp of MATH2XXX units of study) or [12cp from (MATH3061 orMATH3066 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 6cp from (MATH2X21 or MATH2X65 or MATH2067) and a mark of 65 or greater 6cp from (MATH2X22 or MATH2X61)] or [12cp 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 12cp of MATH2XXX) or (12cp of MATH3XXX) N MATH3979 or MATH3964 |
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. |
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 Students should have a sound knowledge of probability theory and stochastic processes from, for example, STAT2X11 and STAT3021 or equivalent |
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 |
NANO4001 Modern Nanoscience |
6 | A It is strongly recommended that you have completed a major in Chemistry or Physics before attempting the unit P 144 credit points of units of study including NANO2002 |
NEUR4001 Advanced Seminars in Neuroscience |
6 | A Advanced knowledge of the structure and function of multicellular organisms, or a background in bioengineering or biophysics or biodesign P 144 credit points of units of study, including a minimum of 24 credit points at the 3000- or 4000-level N NEUR3004 or NEUR3904 |
PHYS4015 Neural Dynamics and Computation |
6 | A First- and second-year physics P 144cp of units including (MATH1x01 or MATH1x21 or MATH1906 or MATH1931) and MATH1x02 |
PHYS4016 Bayesian Data Inference and Machine Learning |
6 | A 48 credit points of 3000-level units of study and programming experience in Python P 144 credit points of units of study including (12cp of MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1005 or MATH1021 or MATH1023 or MATH1064 or MATH1115 or MATH19XX or DATA1X01) |
PHYS4017 Practitioner Physics |
6 | A 48cp of 3000-level units, and a major or minor in Physics P 144 credit points of units of study including 12cp of PHYS1XXX |
PHYS4036 Condensed Matter and Particle Phys (Hons) |
6 | A (MATH2X21 or MATH2X61 or MATH2067). Students will need to have some knowledge of special relativity, for example from prior study of PHYS2013 or PHYS2913, or from studying Chapter 12 of "Introduction to Electrodynamics" by D.J. Griffith P 144 credit points of units of study including [6 credit points of (PHYS3X34 or PHYS3X90 or PHYS3991) and 6 credit points of (PHYS3X42 or PHYS3X43 or PHYS3X44)] N PHYS3036 or PHYS3936 or PHYS3080 or PHYS3980 or PHYS3068 or PHYS3968 or PHYS3069 or PHYS3969 or PHYS3074 or PHYS3974 |
PHYS4037 Plasma and Astrophysics (Hons) |
6 | A (MATH2X21 or MATH2X61 or MATH2067) P 144 credit points of units including (PHYS3X35 or PHYS3X40 or PHYS3941) N PHYS3037 or PHYS3937 or PHYS3042 or PHYS3942 or PHYS3043 or PHYS3943 or PHYS3044 or PHYS3944 |
PHYS4121 Advanced Electrodynamics and Photonics |
6 | A A major in physics including third-year electromagnetism and third-year optics P An average of at least 65 in 144 cp of units including (PHYS3x35 or PHYS3x40 or PHYS3941) |
PHYS4122 Astrophysics and Space Science |
6 | A A major in physics P An average of at least 65 in 144 cp of units |
PHYS4123 General Relativity and Cosmology |
6 | A A major in physics and knowledge of special relativity P An average of at least 65 in 144 cp of units |
PHYS4124 Physics of the Standard Model |
6 | A A major in physics including third-year quantum physics and third-year particle physics P An average of at least 65 in 144 cp of units including (PHYS3X34 or PHYS3X42 or PHYS3X43 or PHYS3X44) |
PHYS4125 Quantum Field Theory |
6 | A A major in physics including third-year quantum physics P An average of at least 65 in 144 cp of units including (PHYS3x34 or PHYS3x42 or PHYS3x43 or PHYS3x44 or PHYS3x35 or PHYS3x40 or PHYS3941 or PHYS3x36 or PHYS3x68 or MATH3x63 or MATH4063 or MATH3x78 or MATH4078) |
PHYS4126 Quantum Nanoscience |
6 | A A major in physics including third-year quantum physics and third-year condensed matter physics P An average of at least 65 in 144 cp of units |
PSYC4000 Foundations of Professional Psychology |
6 | P [24cp of PSYC3XXX including PSYC3010] or [18cp of PSYC3XXX including PSYC3010 and (HPSC3023 or SCPU3001)] C PSYC4104 Departmental Permission is required |
PSYC4003 Health Psychology |
6 | A Students who have not completed PSYC3020 may be required to do additional reading P 6cp of PSYC3XXX and an additional 6cp of 3000-level units of study |
SOIL4000 Soil and Water in the Changing Environment |
6 | P 144 credit points of units including SOIL2005 |
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 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 At least 12cp from STAT2X11 or STAT2X12 or DATA2X02 or STAT3XXX 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 |