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Course Details
- Duration1 years
- Credits80 Credits
- LanguageEnglish
- Credit TransferAvailable
- CertificateInternational Standard
- Mode of StudyBlended
- Fees$1000 USD
- Description
- Curriculum
- Training & Other Facilities
- Duration & Delivery
This qualification reflects the role of individuals who apply advanced and specialised knowledge in data science, statistical modelling, and data-driven technologies across complex, research-driven, and rapidly evolving analytical environments.
Individuals at this level develop the ability to design, develop, evaluate, and optimise advanced data-driven solutions. They acquire in-depth expertise in statistical analysis, machine learning, data engineering, big data technologies, data visualisation, and advanced programming techniques.
They utilise critical thinking, research methodologies, and high-level analytical skills to extract insights from complex datasets, develop predictive models, and create innovative solutions in business analytics, artificial intelligence, and cloud-based data platforms.
The program also emphasises data governance, ethical data usage, and secure data management practices for responsible and compliant data handling.
Graduates are capable of conducting advanced research, developing and validating data models, and implementing scalable data solutions while leading multidisciplinary analytical projects.
This qualification prepares graduates for senior professional and research roles in data science, data analytics, machine learning engineering, business intelligence, and data-driven innovation industries, as well as doctoral-level studies in advanced analytical disciplines.
There are no specific academic prerequisites for this qualification.
General Entry Requirements (International Students)
- Minimum age of 18 years or above
- Completion of Year 12 or equivalent qualification
- English proficiency or proof that the medium of instruction in previous education was English
These requirements ensure students are prepared for academic success in higher education programs.
- Blended Learning (Online + Face-to-Face)
- Flexible Learning Support with Guided Academic Assistance
Our study mode is designed to provide flexibility for both local and international students while maintaining academic quality and engagement.
Students who complete this course may wish to continue their education into the BSB60420 Advanced Diploma of Leadership and Management or a range of Advanced Diploma qualifications, as well as higher education qualifications in business or management.
Program Structure – Master of Data Science (80 Credits)
This program is designed to provide advanced technical knowledge and practical skills in data science. The total credit requirement is structured as follows:
| Category | Description | Credits |
|---|---|---|
| Advanced Data Science Principles | Advanced concepts in data science including statistical modelling, data analysis, machine learning, and data-driven decision making | 20 |
| Data Engineering & Big Data Systems | Data pipelines, big data architectures, distributed data processing, and scalable data systems | 15 |
| Machine Learning & AI for Data Science | Supervised and unsupervised learning, predictive modelling, and applied AI techniques for data-driven solutions | 15 |
| Research Methods & Professional Practice | Research methodologies, experimental design, data ethics, governance, and professional practices in data science | 10 |
| Data Visualisation & Analytics | Advanced data visualisation, business intelligence, and analytical storytelling for decision support | 10 |
| Master’s Thesis / Capstone Project | Independent research or industry-based data science project involving data collection, modelling, analysis, and deployment | 10 |
| Total | 80 |
- Data Scientist
- Senior Data Analyst
- Machine Learning Engineer
- Data Engineer
- Business Intelligence Analyst
- Big Data Engineer
- AI & Data Science Specialist
- Statistical Analyst
- Data Architect
- Quantitative Analyst
- Analytics Consultant
- Data Visualisation Specialist
- Research Scientist (Data Science)
- Decision Science Specialist
- Data Science Project Manager
These diverse career pathways highlight the strong industry relevance of the Master of Data Science, preparing graduates for advanced professional and research roles across data science, analytics, machine learning, big data, and data-driven decision-making industries.
*Career opportunities may vary based on experience, specialization, and industry demand.
State-of-the-art computer laboratory with high-speed internet and advanced IT software supporting data science, programming, and innovation-based learning.
Smart classroom facilities equipped with digital tools and projectors enhancing interactive lectures, presentations, and collaborative learning.
Data-driven learning environment supporting analytical thinking, statistical modelling, machine learning, and AI-based academic projects.
Structured academic resource centre providing access to books, references, and research materials for advanced studies.
Printing and photocopying facilities ensuring smooth academic workflow, documentation, and project submissions.
Dedicated common area for collaboration, peer interaction, discussion, and student engagement in a balanced campus environment.
A modern, supportive, and technology-rich learning environment designed to empower students for academic excellence and professional success.
The Master of Data Science is delivered over a total duration of 1 year, structured across 3 academic terms.
The program comprises a total of 80 credits, providing a rigorous and specialised postgraduate learning pathway.
Designed to systematically develop deep theoretical knowledge and high-level practical skills in data science.
Hands-on experience in data analysis, machine learning, statistical modelling, big data technologies, and data visualisation.
Exposure to real-world industry challenges, research-oriented problem-solving approaches, and modern data science tools, platforms, and frameworks.
Prepares graduates for advanced industry roles, research opportunities, innovation-driven careers, and doctoral-level studies in data science and advanced analytics.
Course Details
- Duration1 years
- Credits80 Credits
- LanguageEnglish
- Credit TransferAvailable
- CertificateInternational Certification
- Mode of StudyBlended Learning
- Learning Platform24/7 Online LMS Access
- Face-to-Face ClassInteractive Classroom Learning
- Lab ClassPractical Hands-on Training
- AssignmentCoursework & Projects
- PresentationIndividual & Group Presentation
- QuizContinuous Learning Assessment
- Class TestPeriodic Performance Evaluation
- Career PathwayIndustry-Oriented Programs
- Fees$1000 USD
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