Data Science Table
Errata
| Item | Errata | Date |
|---|---|---|
| 1. |
Data Science Major requirement (ii) should read: (ii) 6 credit points of 1000-level units according to the following rules*:(a) 6 credit points of selective units OR (b) 3 credit points of statistics units and 3 credit points of computations units OR (c) 3 credit points of advanced statistics units and 3 credit points of calculus and linear algebra units |
10/1/2018 |
| 2. |
Data Science Minor requirement (ii) should read: (ii) 6 credit points of 1000-level units according to the following rules*: |
10/1/2018 |
| 3. |
MATH1021 Calculus Of One Variable: Semester 2 session has been added. |
1/2/2018 |
| 4. |
ENVX1002 Introduction to Statistical Methods: Prohibitions have changed. They now read |
20/2/2018 |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
DATA SCIENCE |
|||
| Advanced coursework and projects will be available in 2020 for students who complete this major. | |||
Data Science major |
|||
| A major in Data Science requires 48 credit points from this table including: | |||
| (i) 6 credit points of 1000-level core units | |||
| (ii) 6 credit points of 1000-level units according to the following rules*: | |||
| (a) 6 credit points of selective units | |||
| (b) 3 credit points of statistics units and 3 credit points of computations units | |||
| (c) 3 credit points of advanced statistics units and 3 credit points of calculus and linear algebra units | |||
| (iii) 12 credit points of 2000-level core units | |||
| (iv) 6 credit points of 2000-level selective units | |||
| (v) 6 credit points of 3000-level interdisciplinary project units | |||
| (vi) 6 credit points of 3000-level methodology-focussed units | |||
| (vii) 6 credit points of 3000-level methodology or application and discipline-focussed units | |||
| Additional application and discipline-focussed units will be available in 2019 in discipline areas including functional genomics, animal genetics/bioinformatics, geoscience /hydrology modelling. | |||
| *Students not enrolled in the BSc may substitute ECMT1010 or BUSS1020 | |||
Data Science minor |
|||
| A minor in Data Science requires 36 credit points from this table including: | |||
| (i) 6 credit points of 1000-level core units | |||
| (ii) 6 credit points of 1000-level units according to the following rules*: | |||
| (a) 6 credit points of selective units | |||
| (b) 3 credit points of statistics units and 3 credit points of computations units | |||
| (c) 3 credit points of advanced statistics units and 3 credit points of calculus and linear algebra units | |||
| (iii) 12 credit points of 2000-level core units | |||
| (iv) 6 credit points of 2000-level selective units | |||
| (v) 6 credit points of 3000-level methodology-focussed units | |||
Units of study |
|||
| The units of study are listed below. | |||
1000-level units of study |
|||
Core |
|||
| DATA1002 Informatics: Data and Computation |
6 | N INFO1903 |
Semester 2 |
Selective |
|||
| DATA1001 Foundations of Data Science |
6 | N MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 |
Semester 1 Semester 2 |
| ENVX1002 Introduction to Statistical Methods |
6 | N ENVX1001 Available as a degree core unit only in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness streams |
Semester 1 |
Statistics units |
|||
| 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 |
Semester 2 Summer Main Winter Main |
| MATH1015 Biostatistics |
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 MATH1005 or MATH1905 or STAT1021 or STAT1022 or ECMT1010 or BIOM1003 or ENVX1001 or ENVX1002 or BUSS1020 |
Semester 1 |
Computation units |
|||
| MATH1115 Interrogating Data |
3 | P MATH1005 or MATH1015 N DATA1001 or STAT1021 or ECMT1010 or ENVX1001 or BUSS1020 or ENVX1002 or MATH1905 |
Semester 1 Semester 2 Winter Main |
Advanced Statistics units |
|||
| 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 Note: Department permission required for enrolment |
Semester 2 |
Maths units |
|||
| MATH1021 Calculus Of One Variable |
3 | A HSC Mathematics Extension 1. Students who have not completed HSC Extension 1 Mathematics (or equivalent) are strongly advised to take the Extension 1 Mathematics Bridging Course (offered in February). N MATH1011 or MATH1901 or MATH1906 or MATH1111 or ENVX1001 or MATH1001 or MATH1921 or MATH1931 |
Semester 1 |
| MATH1921 Calculus Of One Variable (Advanced) |
3 | A (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent. N MATH1001 or MATH1011 or MATH1906 or MATH1111 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 E4 in HSC Mathematics Extension 2 or equivalent. N MATH1001 or MATH1011 or MATH1901 or MATH1111 or ENVX1001 or MATH1906 or MATH1021 or MATH1921 Note: Department permission required for enrolment Enrolment is by invitation only. |
Semester 1 |
| MATH1023 Multivariable Calculus and Modelling |
3 | A HSC Mathematics Extension 1. Students who have not completed HSC Extension 1 Mathematics (or equivalent) are strongly advised to take the Extension 1 Mathematics Bridging Course (offered in February). N MATH1013 or MATH1903 or MATH1907 or MATH1003 or MATH1923 or MATH1933 |
Semester 2 |
| MATH1923 Multivariable Calculus and Modelling (Adv) |
3 | A (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent. 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 Band E4 in HSC Mathematics Extension 2 or equivalent. 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 |
| 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 |
| *Students not enrolled in BSc – Substitute units | |||
2000-level units of study |
|||
Core |
|||
| DATA2001 Data Science: Big Data and Data Diversity |
6 | P DATA1002 OR INFO1110 OR INFO1903 OR INFO1103 |
Semester 1 |
| DATA2002 Data Analytics: Learning from Data |
6 | A (Basic Linear Algebra and some coding) or QBUS1040 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 |
Semester 2 |
Selective |
|||
| COMP2123 Data Structures and Algorithms |
6 | P INFO1110 OR INFO1113 OR DATA1002 OR INFO1103 OR INFO1903 N INFO1105 OR INFO1905 OR COMP2823 |
Semester 1 |
| COMP2823 Data Structures and Algorithms (Adv) |
6 | P Distinction level result in at least one of INFO1110 OR INFO1113 OR DATA1002 OR INFO1103 OR INFO1903 N INFO1105 OR INFO1905 OR COMP2123 Note: Department permission required for enrolment |
Semester 1 |
| ISYS2120 Data and Information Management |
6 | A Programming skills P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 OR INFO1003 OR INFO1903 OR DECO1012 N INFO2120 OR INFO2820 OR COMP5138 |
Semester 2 |
| STAT2011 Probability and Estimation Theory |
6 | P (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (MATH1XX5 or STAT1021 or ECMT1010 or BUSS1020) N STAT2901 or STAT2001 or STAT2911 |
Semester 1 |
| STAT2911 Probability and Statistical Models (Adv) |
6 | P [MATH19X3 or MATH1907 or (a mark of 65 in MATH1023 or MATH1003)] and [MATH1905 or MATH1904 or (a mark of 65 in MATH1005 or ECMT1010 or BUSS1020)] N STAT2001 or STAT2901 or STAT2011 |
Semester 1 |
| QBUS2830 Actuarial Data Analytics |
6 | A BUSS1020 or ECMT1010 or ENVX1001 or ENVX1002 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points in MATH 1000-level units including MATH1905. P QBUS2810 or DATA2002 or ECMT2110 |
Semester 2 |
3000-level units of study |
|||
Interdisciplinary project unit |
|||
| DATA3001 to be developed for offering in 2019. | |||
Methodology-focussed units |
|||
| DATA3404 Data Science Platforms |
6 | A This unit of study assumes that students have previous knowledge of database structures and of SQL. The prerequisite material is covered in DATA2001 or ISYS2120. Familiarity with a programming language (e.g. Java or C) is also expected. P DATA2001 OR ISYS2120 OR INFO2120 OR INFO2820 N INFO3504 OR INFO3404 |
Semester 1 |
| ISYS3401 Information Technology Evaluation |
6 | P (INFO2110 OR ISYS2110) AND (INFO2120 OR ISYS2120) AND (ISYS2140 OR ISYS2160) |
Semester 1 |
| STAT3X23, STAT3X22, STAT3021, STAT3024 and DATA3406 are to be developed for offering in 2019. | |||
Application and discipline-focussed units |
|||
| ENVX3001 Environmental GIS |
6 | P 6cp from (ENVI1003, AGEN1002) or 6cp from GEOS1XXX or 6cp from BIOL1XXX |
Semester 2 |
| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001 Interdisciplinary Unit |
Semester 1 |
| AMED3002 Interrogating Biomedical and Health Data |
6 | A A Exploratory data analysis, sampling, simple linear regression, t-tests, confidence intervals and chi-squared goodness of fit tests, familiar with basic coding, basic linear algebra. Additional information for BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 1 |
| QBUS3810 Actuarial Risk Analytics |
6 | P QBUS2810 or DATA2002 or ECMT2110 N ECMT3180 |
Semester 1 |