Master of Science in Information Technology (Artificial Intelligence and Data Science) (Murdoch University)
Course Information
Description
Companies are increasingly 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. This programme is taught with a computational focus that combines information technology with mathematics and statistics. You will equip yourself with the analytical skills needed to work with big data and benefit from an emphasis on data resources management, business and data analytics and local area network design.
The programme is a professional qualification and is designed for information technology graduates and people working in information technology-related fields, where knowledge and skills in big data are needed.
The programme can be completed in a minimum of 24 months.
Entry Requirements
- Recognised Australian Computer Society (ACS) accredited Bachelor’s Degree in IT (AQF Level 7); OR
- Recognised Bachelors’ Degree (AQF Level 7) and an approved qualification in IT (AQF Level 8); OR
- Recognised Honours Degree (AQF Level 8) and 5 or more years of relevant experience; OR
- Recognition of relevant and current informal or non-formal learning may be used for entry requirements and should be discussed with the Academic Chair.
In all cases, the final decision on admission to the programme rests with the University.
English Language Requirement
- IELTS 6.0 (with no bands below 6.0); OR
- Applicants are required to meet Murdoch University’s English language requirement.Visit course webpage for more information.
Additional requirements for international students
Prospective international research applicants are required to complete and submit an EOI in Higher Degree Research Candidature form before applying for admission.
Career Opportunities
Information not available
Modules
Core Units
- Information Technology Project Management
- IT Professional Practice
- Information Technology Research Methods
- Business Analytics
- Data Resources Management
- Data Analytics
- Foundations of Data Science
- Artificial Intelligence
- Machine Learning
Elective Units
(Select 2 to 3 units depending on the number of credit points)
- Applied Information Security Management
- Business Analysis and Systems Development Approaches
- Human Factors in Information Technology
- IT Group Project
- Information Technology Strategy
- Knowledge Management
- Quantitative Research for Business
The elective will be determined by Murdoch University, depending on the applicant’s academic background.
The units offered may vary depending on the applicant’s academic backgrounds.
Delivery Method
Students will attend a combination of lectures, tutorials and workshops in this programme, and they have the flexibility to plan their study schedule and attend classes once or twice a week depending on their study load. Classes are conducted on weekday evenings or weekends to suit the busy schedules of students enrolled in this programme. Each unit is supported with 36 contact hours except for 1 unit with 54 contact hours.
The Pro Vice-Chancellor of Transnational Education & Deputy Dean of Murdoch University are based in Singapore to oversee all academic aspects and ensure a high standard of academic delivery here.
Assessment Methods
Each unit is assessed by any combination of class participation, written assignments, projects or examinations. Assessment methods may vary according to individual unit requirements.
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12 months
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Part-time
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12 months
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Full-time
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12 months
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Full-time
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18 months
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Full-time
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12 months
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Full-time
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Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
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Full-time
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Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
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Part-time