Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

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Unit Overview


Today's businesses have an increasing need to make sense of the large quantities of structured and unstructured data that are generated. Understanding how to integrate large and complex data sets, and transform such data into meaningful insights and actions, is vital for business success. Business analysts equipped with basic programming skills will have greater awareness of the complexities of managing large data sets, the ability to converse with other technical experts (such as computer scientists), and the capacity to make meaning of the output given their business expertise.

This unit is designed for students with little to no programming experience. Foundational programming concepts (such as variables, arrays, conditional statements, loops, functions and procedures, and using libraries) will be taught and applied to business examples. Students will engage with general-purpose programming languages (such as Python) to write basic programs, integrate data sets, visualise, analyse and manage data.

6 points
(see Timetable)
Semester 1UWA (Perth)Face to face
Semester 2UWA (Perth)Face to face

Students are able to (1) demonstrate an understanding of basic types of algorithms and the benefits of programs for automating various tasks; (2) validate programs, recognise how to avoid common coding errors, and perform individual and team program reviews; (3) evaluate fundamental data structures and associated algorithms; (4) create and evaluate algorithms for solving business problems; and (5) evaluate basic technical documents, presentations, and group interactions, using appropriate tools.


Indicative assessments in this unit are as follows: (1) quizzes; (2) team-based assignment; and (3) examination. Further information is available in the unit outline.

Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Tristan Reed
Unit rules
Enrolment in
42270 Graduate Certificate in Business Analytics (ID 1458)
or Course Enrolment 42630 Master of Business Analytics (ID 1478)
or 41670 Master of Business Information and Logistics Management (ID 43)
CITS1401 Computational Thinking with Python or equivalent.
Contact hours
Standard Semester: lectures/tutorials/seminars/workshops: up to 3 hours per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Unit readings, including any essential textbooks, are listed in the unit outline for each unit, one week prior the commencement of study. The unit outline will be available via the LMS and the UWA Handbook one week prior the commencement of study. Reading lists and essential textbooks are subject to change each semester. Information on essential textbooks will also be made available on the Essential Textbooks. This website is updated regularly in the lead up to semester so content may change. It is recommended that students purchase essential textbooks for convenience due to the frequency with which they will be required during the unit. A limited number of textbooks will be made available from the Library in print and will also be made available online wherever possible. Essential textbooks can be purchased from the commercial vendors to secure the best deal. The Student Guild can provide assistance on where to purchase books if required. Books can be purchased second hand at the Guild Secondhand bookshop (second floor, Guild Village), which is located on campus.
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.