Artificial Intelligence and Data Science (with Dissertation)

Non-Award

Ready to take your career to the next level? Gain expert knowledge and specialist skills that combine artificial intelligence systems and machine learning algorithms.

Key details

Degree Type

Non-Award

Course Code

MJ-AIDD

About this course

Overview

Prepare for the workforce across a range of sectors. Whether you're a graduate from an information technology degree or from another discipline, this course is designed to give you the technical skills needed to harness innovative solutions to industry challenges. You'll gain knowledge and skills in the area of AI and data science and learn about emerging and future technologies, machine learning and AI techniques, data and business analysis, and data mining. Studying this course allows you to undertake an IT research dissertation before you graduate.

With a growing demand for AI and data specialists, having a unique skill set in data driven AI modellings and data analytics will give you the competitive advantage needed to succeed in the future workplace.

3 reasons to study Artificial Intelligence and Data Science at Murdoch

Make use of our brand-new IT Innovation Hub, a cutting-edge learning teaching and research facility, fitted out with the latest mixed and augmented reality equipment, operational data centre and high-performance computing capabilities.
This course has been designed in collaboration with industry partners with an emphasis on effective communication and the development of solutions to complex real-world IT problems.
Learn from information technology experts and industry advisors as they share their experience and insights from a range of perspectives.

Develop your skills

Build essential skills and knowledge to meet your career or study goals. Topics you'll cover include:

AI techniques
Data science methods
Machine learning techniques
Software tools that create efficient AI solutions
Advanced computational and statistical tools

Your future career

There is a critical need for modern IT professionals responsible for establishing, maintaining and developing information systems in a wide range of sectors including commerce, telecommunications, health, education, architecture, mining, engineering, law and government and non-government organisations. Careers could include:

AI Specialist
Machine Learning Specialist
Machine Learning Consultant
Data Scientist
Data Analyst
Business Analyst

Entry requirements

Only with Approval by the Academic Chair AND Recognised Australian Computer Society (ACS) -accredited Bachelor's degree in IT (AQF Level 7); OR recognised Bachelor's degree (AQF Level 7) plus an approved qualification in IT (AQF Level 8); OR recognised 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. . Students can only take a dissertation in their second year if they meet a minimum 2.5/4.0 GPA, and only if they have found themselves a supervisor.

Study locations

Perth

How to apply

How to apply

Please indicate above whether you're a domestic or international student intending to study at a Western Australian campus.

Your Document Checklist

Ready to apply? Before you start, make sure you have some or all of the following documentation ready for a quick application.

Completed official Academic Transcripts and Certificates of Completion