Coding for Business Analytics

    Unit code: BCO7006 | Study level: Postgraduate
    (Generally, 1 credit = 10 hours of classes and independent study.)
    City Campus
    Online Real Time
    VU Brisbane
    VU Sydney


    The unit is an introduction to programming with applications to business domain including Business Analytics. The focus of the unit is to develop fundamental knowledge and skills in coding using free open-source environments (such as R/Python). The unit covers key concepts including problem modelling, data structures, programming workflow, program design and implementation of algorithms to solve real life business problems. There are no requirements of prior programming or coding knowledge or experience to undertake this unit. This unit is recommended for students with business or non-business backgrounds who wish to acquire industry specific knowledge in coding.

    Learning Outcomes

    On successful completion of this unit, students will be able to:

    1. Deconstruct business problems to model and develop programming solutions;
    2. Design and construct programming solutions related to business problems and issues;
    3. Implement and critically evaluate programming solutions;
    4. Investigate different programming solutions for appropriate business problems, including business analytical problems; and,
    5. Communicate programming solutions in a collaborative programming environment and review their implementation in the business context.


    For Melbourne campuses

    Assessment type: Exercise
    Grade: 25%
    In-class practical exercises (part A-10%; part B-15%)
    Assessment type: Test
    Grade: 10%
    Online quizzes with MCQs
    Assessment type: Assignment
    Grade: 35%
    Programming solutions: solve a real-world problem based on a scenario using coding knowledge and skills
    Assessment type: Report
    Grade: 30%
    Business Analytics solution modelling: Research report and reflection (group)

    Required reading

    Selected readings will be made available via the unit VU Collaborate site.

    As part of a course

    This unit is studied as part of the following course(s):

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