Statistics Table
Errata
Item | Errata | Date |
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1. |
The prerequisites have been removed for the following units: MATH1011 Applications of Calculus |
12/12/2018 |
2. |
The prerequisites have been removed and the assumed kowledge has changed for the following units: MATH1921 Calculus Of One Variable (Advanced): Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent. MATH1931 Calculus Of One Variable (SSP): Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent. MATH1923 Multivariable Calculus and Modelling (Adv): Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent MATH1933 Multivariable Calculus and Modelling (SSP):Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent. |
12/12/2018 |
Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
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STATISTICS |
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Advanced coursework and projects will be available in 2020 for students who complete this major. | |||
Statistics major |
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A major in Statistics requires 48 credit points from this table including: | |||
(i) 12 credit points of 1000-level units according to the following rules: | |||
(a) 6 credit points of calculus and 3 credit points of linear algebra and 3 credit points of statistics*. (Students in the Mathematical Sciences program must choose this option^); | |||
(b) 3 credit points of calculus and 3 credit points of linear algebra and 6 credit points of data science* | |||
(ii) 12 credit points of 2000-level core units | |||
(iii) 12 credit points of 3000-level core units | |||
(iv) 6 credit points of 3000-level interdisciplinary project units | |||
(v) 6 credit points of 3000-level or 4000-level selective units | |||
*Students not enrolled in the BSc may substitute ECMT1010 or BUSS1020 | |||
^If elective space allows, students may substitute DATA1001/1901 for the statistics unit | |||
Statistics minor |
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A minor in Statistics requires 36 credit points from this table including: | |||
(i) 12 credit points of 1000-level units according to the following rules: | |||
(a) 6 credit points of calculus and 3 credit points of linear algebra and 3 credit points of statistics; or | |||
(b) 3 credit points of calculus and 3 credit points of linear algebra and 6 credit points of data science | |||
(ii) 12 credit points of 2000-level core units | |||
(iii) 12 credit points of 3000-level or 4000-level selective units | |||
Units of study |
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The units of study are listed below. | |||
1000-level units of study |
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Calculus units |
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MATH1021 Calculus Of One Variable |
3 | A HSC Mathematics Extension 1 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1011 or MATH1901 or MATH1906 or ENVX1001 or MATH1001 or MATH1921 or MATH1931 |
Semester 1 Semester 2 Summer Main |
MATH1921 Calculus Of One Variable (Advanced) |
3 | A HSC Mathematics Extension 2 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1001 or MATH1011 or MATH1906 or ENVX1001 or MATH1901 or MATH1021 or MATH1931 Note: Department permission required for enrolment |
Semester 1 |
MATH1931 Calculus Of One Variable (SSP) |
3 | A Band 4 in HSC Mathematics Extension 2 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1001 or MATH1011 or MATH1901 or ENVX1001 or MATH1906 or MATH1021 or MATH1921 Note: Department permission required for enrolment Enrolment is by invitation only |
Semester 1 |
MATH1011 Applications of Calculus |
3 | A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1001 or MATH1901 or MATH1906 or BIOM1003 or ENVX1001 or MATH1021 or MATH1921 or MATH1931 |
Semester 1 Summer Main |
MATH1023 Multivariable Calculus and Modelling |
3 | A MATH1X21, HSC Mathematics Extension 1 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1013 or MATH1903 or MATH1907 or MATH1003 or MATH1923 or MATH1933 |
Semester 1 Semester 2 Summer Main |
MATH1923 Multivariable Calculus and Modelling (Adv) |
3 | A MATH1X21, HSC Mathematics Extension 2 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1003 or MATH1013 or MATH1907 or MATH1903 or MATH1023 or MATH1933 Note: Department permission required for enrolment |
Semester 2 |
MATH1933 Multivariable Calculus and Modelling (SSP) |
3 | A MATH1X21, Band 4 in HSC Mathematics Extension 2 or equivalent. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1003 or MATH1903 or MATH1013 or MATH1907 or MATH1023 or MATH1923 Note: Department permission required for enrolment Enrolment is by invitation only. |
Semester 2 |
Linear algebra units |
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MATH1002 Linear Algebra |
3 | A HSC Mathematics or MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). N MATH1012 or MATH1014 or MATH1902 |
Semester 1 Summer Main |
MATH1902 Linear Algebra (Advanced) |
3 | A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent N MATH1002 or MATH1012 or MATH1014 Note: Department permission required for enrolment |
Semester 1 |
MATH1014 Introduction to Linear Algebra |
3 | A HSC Mathematics or MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics. N MATH1012 or MATH1002 or MATH1902 |
Semester 2 Summer Main |
Statistics units |
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MATH1005 Statistical Thinking with Data |
3 | A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). N MATH1015 or MATH1905 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901 |
Semester 1 Semester 2 Summer Main |
MATH1905 Statistical Thinking with Data (Advanced) |
3 | A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent N MATH1005 or MATH1015 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901 Note: Department permission required for enrolment |
Semester 2 |
Data science units |
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DATA1001 Foundations of Data Science |
6 | N DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 or STAT1022 |
Semester 1 Semester 2 |
DATA1901 Foundations of Data Science (Adv) |
6 | A An ATAR of 95 or more N MATH1905 or ECMT1010 or ENVX2001 or BUSS1020 or DATA1001 or MATH1115 |
Semester 1 Semester 2 |
2000-level units of study |
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Core |
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DATA2002 Data Analytics: Learning from Data |
6 | A Basic Linear Algebra and some coding P [DATA1001 or ENVX1001 or ENVX1002] or [MATH10X5 and MATH1115] or [MATH10X5 and STAT2011] or [MATH1905 and MATH1XXX (except MATH1XX5)] or [BUSS1020 or ECMT1010 or STAT1021] N STAT2012 or STAT2912 or DATA2902 |
Semester 2 |
DATA2902 Data Analytics: Learning from Data (Adv) |
6 | A Basic linear algebra and some coding for example MATH1014 or MATH1002 or MATH1902 and DATA1001 or DATA1901 P A mark of 65 or above in any of the following (DATA1001 or DATA1901 or ENVX1001 or ENVX1002) or (MATH10X5 and MATH1115) or (MATH10X5 and STAT2011) or (MATH1905 and MATH1XXX [except MATH1XX5]) or (QBUS1020 or ECMT1020 or STAT1021) N STAT2012 or STAT2912 or DATA2002 |
Semester 2 |
STAT2912 Statistical Tests (Advanced) This unit of study is not available in 2019 |
6 | A STAT2911 P MATH1905 or Credit in MATH1005 or Credit in ECMT1010 or Credit in BUSS1020 N STAT2012 or STAT2004 or DATA2002 |
Semester 2 |
STAT2011 Probability and Estimation Theory |
6 | P (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020) N STAT2911 |
Semester 1 |
STAT2911 Probability and Statistical Models (Adv) |
6 | P (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) N STAT2011 |
Semester 1 |
3000-level units of study |
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Major core |
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STAT3022 Applied Linear Models |
6 | P STAT2X11 and (DATA2X02 or STAT2X12) N STAT3912 or STAT3012 or STAT3922 |
Semester 1 |
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 |
Semester 1 |
STAT3023 Statistical Inference |
6 | A DATA2X02 or STAT2X12 P STAT2X11 N STAT3913 or STAT3013 or STAT3923 |
Semester 2 |
STAT3923 Statistical Inference (Advanced) |
6 | P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12) N STAT3913 or STAT3013 or STAT3023 |
Semester 2 |
Interdisciplinary projects |
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STAT3888 Statistical Machine Learning |
6 | A STAT3012 or STAT3912 or STAT3022 or STAT3922 P STAT2X11 and (DATA2X02 or STAT2X12) N STAT3914 or STAT3014 |
Semester 2 |
SCPU3001 Science Interdisciplinary Project |
6 | P Completion of 2000-level units required for at least one Science major. |
Intensive December Intensive February Intensive January Intensive July Semester 1 Semester 2 |
Major selective |
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STAT3021 Stochastic Processes |
6 | P STAT2X11 and (MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933) N STAT3911 or STAT3011 |
Semester 1 |
Minor selective |
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STAT3021 Stochastic Processes |
6 | P STAT2X11 and (MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933) N STAT3911 or STAT3011 |
Semester 1 |
STAT3022 Applied Linear Models |
6 | P STAT2X11 and (DATA2X02 or STAT2X12) N STAT3912 or STAT3012 or STAT3922 |
Semester 1 |
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 |
Semester 1 |
STAT3023 Statistical Inference |
6 | A DATA2X02 or STAT2X12 P STAT2X11 N STAT3913 or STAT3013 or STAT3923 |
Semester 2 |
STAT3923 Statistical Inference (Advanced) |
6 | P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12) N STAT3913 or STAT3013 or STAT3023 |
Semester 2 |
STAT3888 Statistical Machine Learning |
6 | A STAT3012 or STAT3912 or STAT3022 or STAT3922 P STAT2X11 and (DATA2X02 or STAT2X12) N STAT3914 or STAT3014 |
Semester 2 |
4000-level units of study |
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Selective |
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STAT4025 Time Series |
6 | P STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933) N STAT3925 |
Semester 1 |
STAT4026 Statistical Consulting |
6 | P At least 12cp from STAT2X11, STAT2X12, DATA2X02 and STAT3XXX N STAT3926 |
Semester 1 |
Further units to be developed for offering in 2020. |