The Master's in Data Analytics and Visualisation at the Curtin University is a full-time 2 Years Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Perth Campus campus in Perth, Australia, the course offers a balanced mix of academic study and practical experience.
Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a full-time competitive international tuition fee of AUD 80,084 Starting each February, July, it is designed to equip students with essential skills for advanced study and professional growth.
The Curtin University offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the Australia through this program.
Course Highlights
Effective management of information and communication is critical to business success. This master degree will prepare you for careers leading and enhancing the ICT capabilities of organisations.
During the course you will gain technical skills in programming, data communications, database design, and system analysis and design.
You'll build expertise in the management and application of information systems and technology, and examine the impact of technology on the changing business environment – with a particular focus on AI and its adoption in business.
This is a Master of Information Systems and Technology specialisation designed for ICT professionals looking to upskill into management roles, and for graduates and other professionals who want to gain the skills for a career in ICT.
You will learn to understand and apply broad concepts in data mining, business intelligence and data interpretation to make informed business decisions.
As a both a producer and a consumer of data, you’ll learn about data management and security practices, as well as the legal and ethical issues related to collecting and using data.
You'll also get practical insights into ICT applications through an industry-based project, and you can gain real-world experience and global exposure by completing an internship or international study tour.
Learning Structure
- Apply data analytics techniques to large and complex datasets, using statistical, machine learning, and data mining methods to extract insights, identify patterns, and make data-driven decisions, GC1, GC3.
- Create effective data visualizations and dashboards, by selecting appropriate visual encoding techniques, designing clear and concise interfaces, and presenting insights in a way that is engaging and understandable to different stakeholders, GC2, GC3.
- Develop and implement data analytics solutions, including data preparation, integration, and transformation, and use cloud-based tools and technologies to support scalable and efficient data processing and analysis, GC1, GC4, GC5, GC6.
- Evaluate the ethical and legal implications of data analytics, by understanding and applying principles of data governance, privacy, and security, and by ensuring that data analytics and visualization projects adhere to relevant regulations and standards, GC1, GC2, GC3, GC4, GC6.
Entry Requirements
- A 4-year Engineering degree in relevant discipline.
English Language Requirements
Listening
6.0
Reading
6.0
Writing
6.0
Speaking
6.0
Documentary Evidence List
- Bachelor's Transcripts
- Degree Certificate
- English Test (IELTS/ TOEFL/ PTE)
- Statement of Purpose (SOP/ GTE)
- 2 Recommendation Letters
- Updated CV/ Resume
- Research Proposal (for research degrees)
- Portfolio (for design/ creative)
- Work Experience Certificates (if study gap)
- Passport Copy
Study Gaps
For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.
To strengthen your profile, it is important to:
- Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
- Emphasize the skills and experiences you developed during this time that are relevant to the program.
- Demonstrate that your academic qualifications continue to meet the course entry requirements.
Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.
Last reviewed on 24 November 2025.