Master of Business Analytics (coursework)

The Master of Business Analytics is relevant for those students looking to draw insights from data to enable better business decisions. In this course students will learn analytical and technical skills and apply these skills to business contexts.

Course overview

Course title
Master of Business Analytics (coursework)
Award abbreviation
MBusA
Course code
42630
Course type
master's degree by coursework only
Status
current / 2021
Administered by
UWA Business School
CRICOS code
0101328

Course details

Intake periods
Beginning of year and mid-year
Attendance type
full- or part-time (Student visa holders should read Education Services for Overseas Students Act 2000 for more information.)
Credit points required
96
A standard full-time load is 24 points per semester.
Standard course duration
1.5 full-time (or equivalent part-time) comprising 72 points of taught units and 24 points of admission credit, as recognised and granted by the Faculty
Maximum course duration
2.0 full-time (or equivalent part-time) comprising up to 96 points of taught study (see Rule 5 for further information)
Time limit
5 years
Delivery mode
internal
Locations offered
UWA (Perth)
Domestic fee type
Postgraduate fee-paying/FEE-HELP
Available to international students
Yes. For information on international student fees see 'Schedule 2: Fees'. (Enquiries: https://www.uwa.edu.au/askuwa)
Course Coordinator(s)
Dr Catherine Leighton
Fees
Visit the fees calculator.

Prospective students should see the Future Students website for details on admission requirements, intake periods, fees, availability to international students, careers information etc.

Course structure

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; NS = non-standard teaching period

All units have a value of six points unless otherwise stated.

Students who have completed prior tertiary study in data science are not required to complete BUSN5101 Programming for Business and should contact their Student Advising Office for advice.

Students without requisite cognate studies may be required to take units to the value of 24 points as advised by the Faculty.

Take all units from this group (30 points):

AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2BUSN5002Fundamentals of Business Analytics
Prerequisites:
Enrollment in 42270 Graduate Certificate in Business Analytics or 42630 Master of Business Analytics
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
S1, S2BUSN5003Data Storytelling
Prerequisites:
Enrolment in Master of Business Analytics, and BUSN5002 Fundamentals of Business Analytics or Master of Data Science
Up to three hours per week.
S1, S2BUSN5007Business Analytics Industry Project (12 points)
Prerequisites:
Enrolment in Master of Business Analytics (completion of at least 30 points), including: BUSN5002; BUSN5003; BUSN5101 or equivalent. .
Indicative contact hours: up to 6 hours per week.
S1, S2BUSN5101Programming for Business
Incompatibility:
CITS1401 Computational Thinking with Python or equivalent.
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week

Take units to at least the value of 18 points from this group.

Note: Business Applications Units

Group A
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S2BUSN5001Blockchain and Distributed Ledger Technologies in Business
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week Summer School: delivered intensively, up to 18 hours per week
S1ECON5514Economic Research and Evaluation Methods
seminars: 3 hours per week
S1, S2HRMT5502People Analytics
lectures/seminars/workshops: up to 3 hours per week
S2INMT5526Business Intelligence
lectures/seminars/workshops: up to 3 hours per week
S1MGMT5660Applied Project Management
Incompatibility:
MGMT5665 Project Management
lectures/seminars: up to 3 hours per week
S1MKTG5504Big Data in Marketing
Seminars: 3 hours per week for 12 weeks.

Take up to the number required to complete course (maximum of 24 points):

Group B
AvailabilityUnitcodeUnitnameUnit requirementsContact hours
S1, S2ACCT5432Introductory Financial Accounting
Incompatibility:
ACCT1101 Financial Accounting, ACCT5602 Accounting
lectures/seminars/workshops: up to 3 hours per week
S1, S2BUSN5100Applied Professional Business Communications
Incompatibility:
WACE/TEE English or equivalent or BUSN4003 Applied Business Communication or MGMT5610 Applied Professional Business Communications
lectures/seminars/workshops: up to 3 hours per week
S1CITS4407Open Source Tools and Scripting
Prerequisites:
enrolment in Master of Information Technology or Master of Data Science or Master of Business Analytics
S2CITS5503Cloud Computing
Prerequisites:
enrolment in the BH008 Bachelor of Advanced Computer Science [Honours] (International Cybersecurity major or Computing and Data Science major) or HON-CMSSE Computer Science and Software Engineering or 62510 Master of Information Technology or 62530 Master of Data Science or 62550 Master of Professional Engineering (Software Engineering) or 42630 Master of Business Analytics and completion of 12 points of programming-based units
S1CITS5504Data Warehousing
Prerequisites:
enrolment in the 62510 Master of Information Technology or 62530 Master of Data Science or 42630 Master of Business Analytics and (CITS1402 Relational Database Management Systems or BUSN5101 Programming for Business or BUSN5002 Fundamentals of Business Analytics).
Incompatibility:
CITS3401 Data Exploration and Mining
lectures: 2 hours per week; labs: 2 hours per week
S1CITS5508Machine Learning
Prerequisites:
enrolment in the BH008 Bachelor of Advanced Computer Science [Honours] (Artificial Intelligence major or Computing and Data Science major) or HON-CMSSE Computer Science and Software Engineering or 62510 Master of Information Technology or 62530 Master of Data Science or 62550 Master of Professional Engineering (Software Engineering) or 42630 Master of Business Analytics and completion of 12 points of programming-based units
lectures: 2 hours per week; labs: 2 hours per week for 11 weeks from week 2
S2ECON5513Applied Advanced Econometrics
Prerequisites:
ECON2271 Business Econometrics or equivalent
lectures/tutorials/seminars/workshops: up to 3 hours per week
S1, S2ECON5541Economics for Business: Applications and Policy
Incompatibility:
ECON5503 Economic Management and Strategy; ECON1000 ECON1101 or equivalent.
lectures/seminars/workshops: up to 3 hours per week
S2INMT5501Enterprise Information Systems