Bachelor of Mathematical Sciences
Unit of study table
Bachelor of Mathematical Sciences
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To qualify for the award of the Bachelor of Mathematical Sciences, a candidate must complete 144 credit points, comprising: a) 60 credit points of degree core units of study from the Bachelor of Mathematical Sciences Table A; and b) a cognate major (48 credit points); and c) a minor (36 credit points) or second major (48 credit points) from the Bachelor of Science Table A or Table S; and d) for students enrolled in the Dalyell stream, a minimum of 12 credit points of Dalyell stream units of study from Table D; and e) any additional elective units of study from Table S and/or up to 6 credit points of electives from Table O to complete 144 credit points in total. |
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| Cognate majors | |||
Cognate majors available in this course are: 1. Mathematics 2. Statistics 3. Financial Mathematics and Statistics 4. Data Science 5. Mathematical Modelling and Computation 6. Discrete Mathematics and Algorithms |
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| Degree core | |||
Students must complete 60 credit points of degree core, consisting of: (i) 36 cp of 1000-level units of study (ii) 24 cp of 2000-level units of study |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
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Degree core |
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| 1000-level units of study | ||
| MATH1080 Research and Communication in Math. Sci. |
6 | |
| MATH1061 Mathematics 1A |
6 | A NSW HSC Extension 1 Mathematics or equivalent N MATH1901 or MATH1902 or MATH1921 or MATH1906 or MATH1931 or MATH1001 or MATH1021 or MATH1961 or MATH1971 or MATH1002 or MATH1014 |
| MATH1961 Mathematics 1A (Advanced) |
6 | A (HSC Mathematics Extension 2) or (Band E4 in HSC Mathematics Extensions 1) or equivalent N MATH1901 or MATH1902 or MATH1921 or MATH1906 or MATH1931 or MATH1001 or MATH1021 or MATH1061 or MATH1971 or MATH1002 or MATH1014 |
| MATH1971 Mathematics 1A (SSP) |
6 | A (at least Band E4 in HSC Mathematics Extension 2) or equivalent N MATH1901 or MATH1902 or MATH1921 or MATH1906 or MATH1931 or MATH1001 or MATH1021 or MATH1061 or MATH1961 or MATH1002 or MATH1014 |
| MATH1062 Mathematics 1B |
6 | A Knowledge of complex numbers and methods of differential and integral calculus including integration by partial fractions and integration by parts as for example in MATH1021 or MATH1921 or MATH1931 or MATH1061 or HSC Mathematics Extension 2 N MATH1905 or MATH1903 or MATH1907 or MATH1923 or MATH1933 or MATH1972 or MATH1962 or MATH1003 or MATH1023 or MATH1005 or MATH1015 |
| MATH1962 Mathematics 1B (Advanced) |
6 | A (HSC Mathematics Extension 2) or equivalent N MATH1905 or MATH1903 or MATH1923 or MATH1907 or MATH1933 or MATH1062 or MATH1972 or MATH1003 or MATH1023 or MATH1005 or MATH1015 |
| MATH1972 Mathematics 1B (SSP) |
6 | A (HSC Mathematics Extension 2) or (Band E4 in HSC Mathematics Extension 1) or equivalent N MATH1905 or MATH1903 or MATH1907 or MATH1923 or MATH1933 or MATH1062 or MATH1962 or MATH1003 or MATH1023 or MATH1005 or MATH1015 |
| MATH1064 Discrete Mathematics for Computation |
6 | A Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics N MATH1004 or MATH1904 or MATH1964 |
| MATH1964 Discrete Mathematics for Computation (Adv) |
6 | A (HSC Mathematics Extension 2) or (Band E4 in HSC Mathematics Extension 1) or equivalent N MATH1004 or MATH1904 or MATH1064 |
| DATA1001 Foundations of Data Science |
6 | A Year 10 mathematics or equivalent N DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1002 or ECMT1010 or BUSS1020 |
| DATA1901 Foundations of Data Science (Adv) |
6 | A Year 10 Mathematics or equivalent; An ATAR of 95 or more N MATH1005 or MATH1905 or ENVX1002 or ECMT1010 or BUSS1020 or DATA1001 or MATH1115 or MATH1015 |
| DATA1002 Informatics: Data and Computation |
6 | N INFO1903 or DATA1902 |
| DATA1902 Informatics: Data and Computation (Advanced) |
6 | A This unit is intended for students with ATAR at least sufficient for entry to the BSc/BAdvStudies(Advanced) stream, or for those who gained Distinction results or better, in some unit in Data Science, Mathematics, or Computer Science. Students with portfolio of high-quality relevant prior work can also be admitted N INFO1903 or DATA1002 |
| 2000-level units of study | ||
| MATH2021 Vector Calculus and Differential Equations |
6 | P {(MATH1X61 or MATH1971) or [(MATH1X21 or MATH1931 or MATH1X01 or MATH1906) and (MATH1XX2 or a mark of 65 or above in MATH1014)]} and [(MATH1X62 or MATH1972) or (MATH1X23 or MATH1933 or MATH1X03 or MATH1907)] N MATH2921 or MATH2065 or MATH2965 or (MATH2061 and MATH2022) or (MATH2061 and MATH2922) or (MATH2961 and MATH2022) or (MATH2961 and MATH2922) or MATH2067 |
MATH2921 |
6 | P {MATH1961 or MATH1971 or (a mark of 65 or above in MATH1061) or {[MATH1921 or MATH1931 or MATH1901 or MATH1906 or (a mark of 65 or above in MATH1021 or MATH1001)] and [MATH1902 or (a mark of 65 or above in MATH1002)]}} and {MATH1962 or MATH1972 or MATH1923 or MATH1933 or MATH1903 or MATH1907 or (a mark of 65 or above in MATH1062 or MATH1023 or MATH1003)} N MATH2021 or MATH2065 or MATH2965 or (MATH2061 and MATH2022) or (MATH2061 and MATH2922) or (MATH2961 and MATH2022) or (MATH2961 and MATH2922) or MATH2067 |
| MATH2022 Linear and Abstract Algebra |
6 | P MATH1061 or MATH1961 or MATH1971 or MATH1X02 or (a mark of 65 or above in MATH1014) N MATH2922 or MATH2968 or (MATH2061 and MATH2021) or (MATH2061 and MATH2921) or (MATH2961 and MATH2021) or (MATH2961 and MATH2921) |
| MATH2922 Linear and Abstract Algebra (Advanced) |
6 | P MATH1961 or MATH1971 or MATH1902 or (a mark of 65 or above in MATH1002 or MATH1061) or MATH1964 N MATH2022 or MATH2968 or (MATH2061 and MATH2021) or (MATH2061 and MATH2921) or (MATH2961 and MATH2021) or (MATH2961 and MATH2921) |
| STAT2011 Probability and Estimation Theory |
6 | P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH1X62 or MATH1972 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020) N STAT2911 |
| STAT2911 Probability and Statistical Models (Adv) |
6 | P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and a mark of 65 or greater in (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020 or MATH1X62 or MATH1972) N STAT2011 |
| DATA2002 Data Analytics: Learning from Data |
6 | A Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories P DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or MATH1062 or MATH1962 or MATH1972 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)] N STAT2012 or STAT2912 or DATA2902 |
| DATA2902 Data Analytics: Learning from Data (Adv) |
6 | A Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories P A mark of 65 or greater in (DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or MATH1062 or MATH1962 or MATH1972 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)]) N STAT2012 or STAT2912 or DATA2002 |
