Data Analytics

Study Levels

Undergraduate (UG)Postgraduate (PG)Doctorate (PhD)

Mode & Time

Duration

1–4 Years

Intake / Year

Up to 4

Mode

Online / On Campus / Hybrid

Popular Countries

Germany

United Kingdom

Canada

New Zealand

United States of America (USA)

Europe

Ireland

Australia

Key Insights

2.7M+

Global Demand Level

AUD 35–60/hour

Average Salary range

20+ hours/week

Post Study Work Eligibility

AUD 35–60

Top Hiring Industries

95%+

Career Outcome

What is Data Analytics ?

Data Analytics focuses on collecting, processing, analysing, and interpreting large volumes of data to support business strategy, operational efficiency, and innovation. This study area combines statistics, programming, machine learning, business intelligence, and data visualisation, enabling organisations to make informed, data-driven decisions. Programs are offered at UG, PG, and PhD levels, often including real-world case studies, internships, industry projects, and exposure to tools such as Python, R, SQL, Tableau, Power BI, and cloud platforms. Data Analytics is one of the fastest-growing STEM disciplines, with strong demand across industries worldwide

Who should choose this course?

Students planning to study abroad in 2026

Aspirants preparing for IELTS / PTE / TOEFL

Students who are strong in mathematics, statistics, or programming

Core skills you'll learn

Data Cleaning & Preprocessing
Statistical Analysis & Modelling
Python / R Programming
SQL & Database Management
Data Visualisation (Tableau, Power BI)
Machine Learning Fundamentals
Business Intelligence & Reporting
Predictive & Prescriptive Analytics

Industries where this course is relevant

Technology & SoftwareBanking & Financial ServicesHealthcare & Public HealthE-Commerce & RetailConsulting & StrategyMarketing & Consumer AnalyticsGovernment & Policy PlanningArtificial Intelligence & Automation