Program Overview
The Analytics at RMIT University is a Master programme in Computer Science & IT over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of computer science & it. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Analytics programme are well-prepared for careers in academia, industry, government, and the private sector across Australia and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 24 months
- Language of instruction: English
- Study mode: On-campus
- English requirement: IELTS 6.5
- Tuition: AUD 25,920 (Tuition (Year)) — International students; AUD 20,160 (Tuition (Year)) — National students
- Location: Melbourne, Australia
Career Opportunities
Graduates of the Analytics programme are prepared for diverse careers in computer science & it:
- Software Engineer / Developer
- Data Scientist
- Machine Learning Engineer
- IT Project Manager
- Cybersecurity Analyst
- Cloud Solutions Architect
Program Curriculum
Course Structure
- Advanced Programming
- Algorithms and Analysis
- Analysis of Categorical Data
- Analysis of Large Data Sets
- Applied Bayesian Statistics
- Big Data Infrastructures
- Big Data Processing
- Data Mining
- Data Visualisation
- Database Concepts
- Database Systems
- Forecasting
- Game Theory and its Applications
- GIS Fundamentals
- Industrial Research Methods
- Industrial Research Project
- Information Systems Security
- Information Theory for Secure Communications
- Introduction to Statistical Computing
- Introduction to Statistics
- Mathematical Modelling and Decision Analysis
- Methods and Models of Operations Research
- Minor Thesis
- Multivariate Analysis Techniques
- Programming Fundamentals
- Programming Techniques
- Questionnaire and Research Design
- Regression Analysis
- Scripting Language Programming
- Sports Analytics
- Statistical Inference
- Statistics of Quality Control and Performance
- Analysis
- Systems Simulation
- Time Series Analysis
Admission Requirements
Academic Requirements
Entry requirements
Semester 1
You must have successfully completed:
- An Australian Bachelor degree (or equivalent overseas qualification) in any discipline with a GPA of 2.0 (out of 4.0).
- You may also be considered if you have at least 10 years of work experience in analytics, statistics, operations research or a relevant discipline.
Semester 2:
You must have successfully completed
- An Australian Bachelor degree (or equivalent overseas qualification) in any discipline with a GPA of 1.5 (out of 4.0).
- You may also be considered if you have at least 10 years of work experience in analytics, statistics, operations research, economics, finance, logistics, marketing, supply chain management, engineering (management), information technologies, information security, computer science or a relevant discipline.
English Proficiency: IELTS 6.5 or equivalent.
Tuition & Financial Information
Tuition Fee
AUD 25,920 (Tuition (Year)) — International students; AUD 20,160 (Tuition (Year)) — National students
Tuition fees: AUD 25,920 (Tuition (Year)) — International students; AUD 20,160 (Tuition (Year)) — National students
IELTS requirement: 6.5
Financial Aid & Scholarships
Contact RMIT University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About RMIT University
RMIT University
Melbourne, Australia
RMIT University Library consists of six academic branch libraries in Australia and Vietnam. Its four Australian branches are located on the RMIT University campuses in Melbourne City, Bundoora and...
University Profile- Language English
- Duration 24 months
- Credits 96
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