Master of Science in Information Technology (AI and Data Science)
A professional master’s programme combining IT, mathematics, and statistics to master big data analytics and AI-driven insights.
Best for:Best for IT professionals and graduates with a bachelor’s degree in computer science or related fields, seeking to specialise in AI, big data, and data-driven business solutions.
Overview
This master’s programme at Murdoch University’s Singapore campus focuses on equipping professionals with advanced skills in big data, AI, and data science. Tailored for IT graduates and industry professionals, it integrates computational techniques, business analytics, and network design to address real-world challenges in data-driven decision-making. Students will develop expertise in managing large datasets, leveraging AI for trend analysis, and optimizing performance across industries. The curriculum balances theoretical foundations with practical applications, preparing graduates for roles in data-intensive fields. Ideal for those seeking to specialise in AI, data analytics, or IT innovation.
What you'll do
- Develop advanced analytical skills to process and interpret large datasets for business insights.
- Apply AI and machine learning techniques to solve complex problems in industry and social sectors.
- Design and implement data management systems to ensure efficient data storage and retrieval.
- Analyse business trends using data analytics to improve performance and decision-making.
- Collaborate on projects that integrate IT, mathematics, and statistics for real-world applications.
- Engage in coursework focused on data resources management, business analytics, and network design.
Requirements
Degree required: Recognised Bachelor’s Degree in Information Technology (ACS accredited) or equivalent (AQF Level 7); OR a Bachelor’s Degree (AQF Level 7) with an approved qualification in IT (AQF Level 8); OR a Recognised Honours Degree (AQF Level 8) with 5+ years of relevant experience.
Degree offered: Master of Science in Information Technology (AI and Data Science)
Language: English proficiency (level not specified in source)
Instruction: English
- Proven academic background in Information Technology or related fields.
- Strong analytical and problem-solving skills.
- Basic proficiency in data management and statistical analysis.
- Experience with IT-related work or projects (if applicable).
- Eligibility for recognition of informal or non-formal learning may be considered upon discussion with the Academic Chair.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: unknown
Applicants must apply through the official Kaplan Singapore portal. The application process typically involves submitting academic transcripts, proof of degree, and any additional documents as specified by Murdoch University. Contact the Academic Chair for further details on informal or non-formal learning recognition.
- CV or Resume
- Academic Transcripts (Bachelor’s Degree)
- Proof of Degree Recognition (if applicable)
- Statement of Purpose or Personal Statement
- Letters of Recommendation (if required)
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