Table A - Business Analytics
The University of Sydney website (sydney.edu.au/courses) contains the most up to date information on unit of study availability and other requirements. Timetabling information for the current year is available on this website timetabling information.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Honours in Business Analytics |
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| Achievement of Honours in Business Analytics requires 48 of credit points from this table including: | |||
| (i) 48 credit points of 4000-level core units | |||
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 | N ECMT1010 or MATH1005 or MATH1905 or MATH1015 or STAT1021 or ENVX1001 or ENVX1002 or DATA1001 or MATH1115 |
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 2 |
2000-level units of study |
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Core |
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| QBUS2310 Management Science |
6 | P 2018 Commencing students: QBUS1040; 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 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 2018 Commencing students: QBUS1040; 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 2 |
3000-level units of study |
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Core (major only) |
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| QBUS3600 Business Analytics in Practice |
6 | P 2018 commencing students: 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. |
Semester 2 |
Selective |
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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 QBUS340 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; ECMT2630; ENGG1850; 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 1 |
| 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 |
4000-level units of study |
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Core |
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| BUSS4000 Honours in Business |
P BUSS4001 AND 2 x Honours coursework units in the specialisation area ((BUSS4112 and BUSS4113) or (BUSS4212 and BUSS4213) or (BUSS4312 and BUSS4313) or (BUSS4412 and BUSS4413) or (BUSS4512 and BUSS4513) or (BUSS4612 and BUSS4613) or (BUSS4712 and BUSS4713) or (BUSS4812 and BUSS4813)). C BUSS4104 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
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| BUSS4001 Business Honours Research Methods |
12 | P Students must meet the entry requirements to the Honours program, including completion of a pass undergraduate degree and a major in the specialisation area |
Semester 1 |
| BUSS4312 Business Analytics Honours A |
6 | P Students must meet the entry requirements to the Honours program, including completion of a pass undergraduate degree and a major in the specialisation area C BUSS4001; BUSS4313 |
Semester 1 |
| BUSS4313 Business Analytics Honours B |
6 | P Students must meet the entry requirements to the Honours program, including completion of a pass undergraduate degree and a major in the specialisation area C BUSS4001: BUSS4312 |
Semester 1 |
| BUSS4104 Business Honours Thesis |
24 | P BUSS4001 + 2 x Honours coursework units in the specialisation area C BUSS4000 |
Semester 2 |