Business Analytics
Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.
Unit outlines will be available though Find a unit outline two weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Business Analytics |
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Business Analytics major |
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| 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 |
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| (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 |
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| The relevant units of study are listed below. | |||
1000-level units of study |
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Core* |
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| 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 |
Intensive February 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 |
| * Students not enrolled in the Bachelor of Commerce (or Bachelor of Commerce combined degrees) who wish to complete this major/minor as a Table S (Shared Pool) major/minor can instead of BUSS1020, substitute one of the following units or combination of units to meet this core requirement: DATA1001; ECMT1010; ENVX1002; ((MATH1005 or MATH1015) and MATH1115); or 6 credit points of MATH units (which must include MATH1905). | |||
2000-level units of study |
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Core |
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| 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 |
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Core (major only) |
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| QBUS3600 Business Analytics in Practice |
6 | A All other requirements for the major or program associated with this capstone must be completed prior to or concurrently with (if enrolment rules permit) this unit of study. Capstones must be completed at the University of Sydney Business School only. 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 |
Semester 1 Semester 2 |
Selective (for major) |
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| 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 QBUS2820 |
Semester 1 |
| QBUS3830 Advanced Analytics |
6 | P QBUS2810 or DATA2002 or ECMT2110 |
Semester 2 |
| QBUS3840 Choice Modelling |
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 |
Selective (for minor) |
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| 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 QBUS2820 |
Semester 1 |
| QBUS3830 Advanced Analytics |
6 | P QBUS2810 or DATA2002 or ECMT2110 |
Semester 2 |
| QBUS3840 Choice Modelling |
6 | P QBUS2810 or DATA2002 or ECMT2110 |
Semester 2 |
| QBUS3850 Time Series and Forecasting |
6 | P QBUS2820 |
Semester 1 |