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Course (2019)

Information on this page, including unit offerings, is from the 2019 academic year.

Master of Business Administration + Master of Information Technology (Data Science) (MBA+MIT)


  • Course Outline
  • Course Structure
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Title Master of Business Administration + Master of Information Technology (Data Science) (MBA+MIT)
Course Code M1289
Study Level Master's by Coursework (Graduate)
Organisational Unit Business
Academic Contacts

Academic Chair: Dr Deanna de Zilwa | Email: D.deZilwa@murdoch.edu.au | Tel: 9360 6029

Academic Chair: Dr Polychronis Koutsakis | Email: p.koutsakis@murdoch.edu.au | Tel: 9360 6475

Qualification Master of Business Administration (MBA) + Master of Information Technology (MIT) (Data Science)
Duration 2 years full-time or part-time equivalent
Availability Murdoch campus (internal)
Murdoch campus (external)
Restriction All graduate courses are subject to restriction.
Description The MBA/MIT (Data Science) combined degree is oriented to the needs of today's and tomorrow's business leaders working with big data. Increasingly, companies are using large datasets that have been generated by business activities and social media to uncover trends and insights that can be used to tailor products and services, anticipate demand, improve performance, or contribute to solving complex social, health and science-related problems. It is best suited to individuals working in technology-related fields, who are ready to progress to more senior level management positions.
Admission Requirements: Onshore course offerings Recognised Bachelor's degree in IT (AQF Level 7) AND evidence of two years of work experience;
OR recognised non-IT Bachelor's degree plus an approved Diploma in IT (AQF Level 8);
OR recognised non-IT Honours degree (AQF Level 8) plus five or more years of relevant experience.
Recognition of relevant and current informal or non-formal learning may be used for entry requirements, and should be discussed with the Academic Chair.

Equivalent of an Academic IELTS overall score of 6.0 with no band less than 6.0.
Special Requirements The applicant would have to demonstrate competence in statistical methods and analysis to the satisfaction of the Academic Chair to be considered for admission.
Course Learning Outcomes On successful completion of the course students should be able to:

* Demonstrate advanced knowledge of business management and administration
* Be able to choose, use, combine, and evaluate techniques and technologies appropriate for different big data analysis tasks
* Apply expert advanced computational and statistical tools and methods for
data-driven analysis and problem solving
* Exhibit specialist communication and effective interpersonal skills to specialist and non-specialist audiences
* Demonstrate the capability to engage in lifelong learning
* Display the capability to think across cultures and contexts
Integrate knowledge of ethical issues into professional practice
Employment Prospects Commerce, telecommunications, health, education, architecture, mining, engineering, law and government and non-government organisations
Main research areas management, economics, accounting, finance, marketing, entrepreneurship, business ethics, data analytics, data science
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.

Course Structure - 48 credit points

Core Units - MBA - 24 credit points

MBS538 Organisational Behaviour and Management - 3 points
MURDOCH: S1-internal, S1-external, S2-internal, S2-external, SUM-internal, SUM-external

MBS636 International Business Negotiations - 3 points
MURDOCH: S2-internal, S2-external

MBS663 Leading the Engaged Enterprise - 6 points
MURDOCH: S2-internal, S2-external

MBS664 Strategies for Growth and Excellence - 6 points
MURDOCH: S1-internal, S1-external, S2-internal, S2-external

MBS546 Business Finance - 3 points
MURDOCH: S1-internal, S1-external, S2-internal, S2-external, SUM-internal, SUM-external

MBS539 Accounting for Managers - 3 points
MURDOCH: S1-internal, S1-external, S2-internal, S2-external, SUM-internal, SUM-external

Core Units - MIT - 24 credit points

MJ-DSCI Data Science - 24 credit points

Major - 24 credit points

ICT508 Information Technology Project Management - 3 points
MURDOCH: S1-internal, S2-internal

ICT515 Foundations of Data Science - 3 points
MURDOCH: S1-internal

ICT513 Data Analytics - 3 points
MURDOCH: S2-internal, S2-external

ICT601 Business Analytics - 3 points
MURDOCH: S2-internal

ICT616 Data Resources Management - 3 points
MURDOCH: S1-internal, S2-internal

ICT619 Artificial Intelligence - 3 points
MURDOCH: S1-internal

ICT625 Data Science Group Project - 6 points
MURDOCH: S1-internal

No course plans are available for this course in 2019.

To check other years, go to the Course Plans site.

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