Data Science Victoria University

Overview

Throughout the Data Science course from the Victoria University you'll learn how to collect, organise and analyse big data.

On successful completion of this programme, students will be able to:

• Examine and apply foundational data science concepts used across domains, including data exploration, modelling, visualisation, predictive and quantitative analytics, industry-focused data analysis, and machine learning and deep learning techniques.
• Use and assess suitable data science frameworks, modern technologies and emerging AI tools with independent judgement and creativity to design, implement and evaluate data-driven solutions for real-world organisational challenges.
• Apply decision-making frameworks to address complex problems across various sectors, including ICT, government, banking and finance, retail, education, healthcare, social networks and marketing.
• Demonstrate ethical and professional responsibility in data science practice by considering legal, social and regulatory requirements related to data privacy, integrity and moral conduct, while maintaining a commitment to continuous learning and professional growth.
• Combine technical, analytical, communication, managerial, and interpersonal capabilities to contribute to solution design, development and project management within data analytics environments.
• Work collaboratively and inclusively within diverse, cross-functional teams to deliver data science projects that reflect industry needs and standards.

Career opportunities:

As organisations generate and rely on unprecedented volumes of data, the need for professionals who can transform information into strategic insights continues to rise.

A Bachelor of Data Science from VU equips you with the analytical, technical and problem-solving abilities required to thrive in this rapidly expanding field. Graduates can pursue careers across various industries, including technology, finance, healthcare, government, consulting and a wide range of data-driven fields.

Potential career paths include:

• Data Analyst
• Data Scientist
• Data Engineer
• Data Systems Developer
• Information Security Analyst
• Data Visualisation Specialist
• Reporting Analyst
• AI Scientist
• AI Engineer
• Business Intelligence (BI) Analyst
• Market Intelligence Manager
• Data Warehouse Architect
• Statistician
• Mobile, Web or Cloud Software Developer