course_name

Master of Business Information Systems

La Trobe University

Program Overview

Harness the power of agile business.

Competitive intelligence is the lifeblood of modern business. From microbusinesses to multinational corporations, those who can harvest and harness their data have a clear advantage.

If you're keen to learn invaluable business skills and invest in your future, La Trobe's Master of Business Information Systems (MBIS) will help you advance your career in an exciting sector. Designed in collaboration with industry experts, our Master of Business Information Systems will prepare you for professional practice.

Learn how to design, operate and analyse business information systems. You'll understand the latest techniques and templates, so you'll graduate with the skills to start your own enterprise or thrive in the world of start-ups.

Use the latest tools to analyse data, turn it into insights, then use this information to drive real business value. You'll learn through practical, team-based business intelligence projects and use industry tools such as SAP HANA, Design Thinking and R Studio. Plus, you'll collaborate with industry when you build and deploy a real-world business intelligence system.

You'll also gain high-level skills when you choose a specialisation in your area of interest, including artificial intelligence in business, data science, applied digital health and more. Graduate with your specialisation on your academic transcript, so future employers can recognise your expertise.

Develop advanced analytical skills and understand how to use data to build information systems and databases. Learn how to create enterprise-wide computing systems and grow business intelligence. You'll can also put these skills to the test – working in small teams, you'll design a real-world business intelligence system.

Learn from world-class academics and be immersed in research at La Trobe's Centre for Data Analytics and Cognition (CDAC). The CDAC staff also teach in the Master of Business Information Systems and work with international research groups to develop industry-leading research into artificial intelligence and advanced analytics.

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  Location

MelbourneAustralia

DurationIcon
  Course Duration

24 Months

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  Tuition Fee

AU$ 35,400

 Score

IELTS: 6.5 TOEFL: 79

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Study options

Core subjects


Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.
 

  • Academic Integrity Module
  • Artificial Intelligence Fundamentals
  • Business Application Of Analytics
  • Data Wrangling And R
  • Introduction To Programming
  • Predictive Analytics
  • Principles Of Business Analytics
  • Statistics For Business And Finance
  • Sustainable Management And Marketing
  • Business Intelligence Project
  • Business Intelligence Project Implementation
  • Enterprise Information Systems
  • Managing It Projects

Academic entry requirement

Prerequisites


Successful completion of an Australian bachelor degree (or equivalent).\

[Admission may be granted to applicants without an undergraduate degree but with [five] or more years of relevant work experience. In making an offer to an applicant, the university may give consideration to a range of factors including English proficiency, academic record and employment experience.]

Note: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.

English language requirement
6.5 IELTS (Academic) with no individual band less than 6.0.

Annual tuition fee
A$36 400 per 120 credit points.

Note: 120 credit points represents full-time study for one year.

Skilled business information specialists can gain employment in many industries, including finance, health and medicine, cybersecurity, defence and agriculture. After graduation, you could work across a wide range of sectors in roles such as:
 

  • Business analyst
  • Business-IT strategy consultant
  • Enterprise resource planning (ERP) analyst
  • Data scientist
  • ICT entrepreneurial and innovation manager
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