Business Analytics

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

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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
* Instead of BUSS1020, non-Commerce students may substitute DATA1001; ECMT1010; ENVX1002; (MATH1005 or MATH1015) and MATH1115; or 6 credit points of MATH units (which must include MATH1905).

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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
Selective
QBUS3310
Advanced Management Science
6    P QBUS2310
N ECMT3610 or ECMT3710


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
QBUS3820
Machine Learning and Data Mining in Business
6    P QBUS2820


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
QBUS3830
Advanced Analytics
6    P QBUS2810 or DATA2002 or ECMT2110


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
QBUS3850
Time Series and Forecasting
6    P QBUS2820


Refer to the unit of study outline https://www.sydney.edu.au/units
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Intensive February
Intensive July
Semester 1
Semester 2