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 | ||
| Achievement of a minor in Business Analytics requires 36 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 selective units |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
1000-level units of study | ||
Core* | ||
| QBUS1040 Numerical Foundations of Analytics | 6 | N MATH1061 or MATH1062 |
| BUSS1104 Data Analytics in Business | 6 | P Completion of BUSS1101 or 18 credit points N BUSS1020 or ECMT1010 or ENVX1002 or DATA1001 or DATA1901 |
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: | ||
2000-level units of study | ||
Core | ||
| QBUS2310 Decision Analytics | 6 | P (BUSS1104 or BUSS1020 or ECMT1010 or ENVX1001 or ENVX1002 or DATA1001 or DATA1901) and (QBUS1040 or MATH1061 or MATH1062) N ECMT2620 |
| QBUS2810 Inferential Data Analytics | 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 (BUSS1104 or BUSS1020 or ECMT1010 or ENVX1001 or ENVX1002 or DATA1001 or DATA1901) and (QBUS1040 or MATH1061 or MATH1062) N ECMT2110 |
| QBUS2820 Machine Learning for Analytics | 6 | A Foundational knowledge of probability theory, calculus, and linear algebra. P (BUSS1104 or BUSS1020 or ECMT1010 or ENVX1001 or ENVX1002 or DATA1001 or DATA1901) and (QBUS1040 or MATH1061 or MATH1062) |
3000-level units of study | ||
Core (major only) | ||
| 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 Completion of at least 112 credit points including QBUS2310 and QBUS2810 and QBUS2820 |
Selective (for major) | ||
| QBUS3310 Advanced Management Science | 6 | P QBUS2310 N ECMT3610 or ECMT3710 |
| QBUS3320 Supply Chain Management | 6 | P ECMT2640 or QBUS2330 or QBUS2350 or QBUS3340 or QBUS3350 |
| 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 |
| QBUS3820 Machine Learning and Data Mining in Business | 6 | P QBUS2820 |
| QBUS3830 Advanced Analytics | 6 | P QBUS2810 or DATA2002 or DATA2902 or ECMT2110 |
| QBUS3850 Business Forecasting | 6 | P QBUS2820 |
| QBUS3400 Industry and Community Project | 6 | A (BUSS1104 or 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 SIEN3400 or WORK3400 or WORK3401 |
Selective (for minor) | ||
| QBUS3310 Advanced Management Science | 6 | P QBUS2310 N ECMT3610 or ECMT3710 |
| QBUS3320 Supply Chain Management | 6 | P ECMT2640 or QBUS2330 or QBUS2350 or QBUS3340 or QBUS3350 |
| 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 |
| QBUS3820 Machine Learning and Data Mining in Business | 6 | P QBUS2820 |
| QBUS3830 Advanced Analytics | 6 | P QBUS2810 or DATA2002 or DATA2902 or ECMT2110 |
| QBUS3850 Business Forecasting | 6 | P QBUS2820 |
