LEC Abroad

Bachelor of Data Analytics majoring in Data Science

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Murdoch University

Course Level
Undergraduate
Course Subject
Data Science

Course Description

Overview

Data-driven insights drive decision-making and innovation across virtually every modern industry. Studying the BDataAnalyt (Hons) Data Science at Murdoch University prepares students to transform complex dataset streams into actionable strategic knowledge. The curriculum blends rigorous mathematical theory with hands-on computing skills, utilizing contemporary software environments and laboratory infrastructure. Learners explore fundamental disciplines including algorithmic design, predictive modeling, statistical inference, and big data architecture. This course is ideal for analytical thinkers seeking to solve real-world problems through artificial intelligence, machine learning, and advanced quantitative techniques. Graduates enter the workforce fully prepared to navigate complex data environments and deliver technical solutions across commercial, scientific, and public sectors.

What You'll Learn

Mathematical foundations, linear algebra, and applied statistical methods

Computer programming, software development, and database architecture

Data mining techniques, predictive modeling, and machine learning algorithms

Data visualization, storytelling, and strategic business intelligence

Big data processing frameworks and cloud computing environments

Ethical data management, privacy regulations, and governance principles

Learning Outcomes

By completing the program, graduates build an extensive understanding of computational analysis, statistical theory, and data governance spanning individual databases to enterprise-scale cloud architectures. Students gain the ability to critically evaluate complex datasets, identifying subtle patterns, biases, and structural limitations within diverse data assets. Practical coursework builds technical proficiency in coding, pipeline development, statistical modeling, and interactive visualization creation. Ultimately, graduates cultivate the adaptable technical skill set required to specialize in advanced fields such as machine learning engineering, business intelligence architecture, or specialized quantitative research.

Requirements

Kuwait: High School / Shahadat Al-Thanawiya Al-A'ama (General Secondary Education Certificate) is not accepted for direct undergraduate entry. Completion of a recognized foundation course (or A-Levels / equivalent qualification) is required
IELTS (Academic) 6.0 with no band below 6.0 (or approved equivalent English language test)
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A$39600.00
Tuition fee
Apply by October 16, 2026
Start dates
Feb 2027, Jul 2027
Duration
3 Years
Campus
Main Campus
Mode of study
Full Time
Fees and deadlines depend on the selected options.
Fees and currency conversion are approximate.
⏳ Offer response
1-2 Weeks
📄 Backlogs accepted
This course accepts backlogs