Business Analytics
The units of study listed in the following table are those available for the current year. Students may also include any units of study, which are additional to those currently listed, which appear under these subject areas in the Business School handbook/website in subsequent years (subject to any prerequisite or prohibition rules).
Table A - The University of Sydney Business School
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Business Analytics |
|||
Business Analytics major |
|||
| Achievement of a major in Business Analytics requires 48 credit points from this table including: | |||
| (i) 12 credit points of 1000-level core units. | |||
| (ii) 18 credit points of 2000-level core units | |||
| (iii) 6 credit points of 3000-level core units | |||
| (iv) 12 credit points of 3000-level selective units. | |||
Business Analytics minor |
|||
| (i) 12 credit points of 1000-level units | |||
| (ii) 18 credit points of 2000-level units | |||
| (iii) 6 credit points of 3000-level selective units. | |||
Units of study |
|||
| The relevant units of study are listed below. | |||
1000-level units of study |
|||
Core |
|||
| BUSS1020 Quantitative Business Analysis |
6 | A Mathematics (equivalent of band 4 in the NSW HSC subject Mathematics or band E3 in Mathematics Extension 1 or 2) OR MATH1111 N ECMT1010 or MATH1005 or MATH1905 or MATH1015 or STAT1021 or ENVX1001 or ENVX1002 or DATA1001 or MATH1115 Students enrolled in the Bachelor of Commerce, the Bachelor of Commerce and Bachelor of Advanced Studies, and the Bachelor of Commerce and Bachelor of Laws must complete this core unit within the first year of study (full-time students) or within in the first two years of study (part-time students). |
Semester 1 Semester 2 |
| QBUS1040 Foundations of Business Analytics |
6 | P BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH 1000-level units which must include MATH1905 |
Semester 1 Semester 2 |
2000-level units of study |
|||
Core |
|||
| QBUS2310 Management Science |
6 | P Students commencing from 2018: QBUS1040; Pre-2018 commencing students: BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH units which must include MATH1905. N ECMT2620 |
Semester 1 Semester 2 |
| QBUS2810 Statistical Modelling for Business |
6 | A This unit relies on mathematical knowledge at the level of the Maths in Business program, including calculus and matrix algebra. Students who do not meet this requirement are strongly encouraged to acquire the needed mathematical skills prior to enrolling in this unit. P Students commencing from 2018: QBUS1040; Pre-2018 continuing students: BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH units which must include MATH1905. N ECMT2110 |
Semester 1 Semester 2 |
| QBUS2820 Predictive Analytics |
6 | A This unit assumes mathematical knowledge at the level of the Maths in Business program (including calculus and matrix algebra) and basic computer programming skills at the level of QBUS2810. P QBUS2810 or ECMT2110 or DATA2002 |
Semester 1 Semester 2 |
3000-level units of study |
|||
Core (major only) |
|||
| QBUS3600 Business Analytics in Practice |
6 | P Student commencing from 2018: completion of at least 120 credit points including QBUS2310, QBUS2810 and QBUS2820. 2018 continuing students: completion of at least 120 credit points including QBUS2310 and QBUS2810 This unit should only be undertaken by students in their final semester of the Business Analytics major. This unit of study must be completed at the University of Sydney Business School. |
Semester 1 Semester 2 |
Selective |
|||
| QBUS3310 Advanced Management Science |
6 | P QBUS2310 N ECMT3610 or ECMT3710 |
Semester 1 |
| QBUS3320 Supply Chain Management |
6 | P ECMT2640 or QBUS2330 or QBUS2350 or QBUS3340 or QBUS3350 |
Semester 1 |
| QBUS3330 Methods of Decision Analysis |
6 | P BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH units which must include MATH1905. N QBUS2320 or ECMT2630 or ENGG1850 or CIVL3805 |
Semester 2 |
| QBUS3340 Operations Management |
6 | P BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH units which must include MATH1905. N QBUS2330 |
Semester 2 |
| QBUS3350 Project Planning and Management |
6 | A BUSS1020 or DATA1001 or ECMT1010 or ENVX1001 or ENVX1002 or STAT1021 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH units which must include MATH1905. N QBUS2350 |
Semester 2 |
| QBUS3820 Machine Learning and Data Mining in Business |
6 | P QBUS2810 or ECMT2110 or DATA2002 |
Semester 1 |
| QBUS3830 Advanced Analytics |
6 | P QBUS2810 or DATA2002 or ECMT2110 |
Semester 2 |
| QBUS3850 Time Series and Forecasting |
6 | P QBUS2820 |
Semester 1 |
| QBUS3400 Industry and Community Project |
6 | A (BUSS1020 or DATA1001 or ECMT1010 or ENVX1002 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points of MATH coded 1000-level units including MATH1905) and QBUS1040 and (QBUS2310 or QBUS2810) P 72 credit points N BUSS3110 or ACCT3400 or BANK3400 or CLAW3400 or FINC3400 or IBUS3400 or INFS3400 or MKTG3400 or WORK3400 or WORK3401 |
Intensive February Intensive July Semester 1 Semester 2 |