Bachelor of Data Science

Victoria University

Australia

PO Box 14428 MELBOURNE Victoria 8001

Overview

Propel yourself towards success with a career that perfectly aligns to industry demand. Learn how to identify, organise and analyse big data with Victoria University's Bachelor of Data Science.

In this data science degree, you'll learn to use specialised computational and statistical techniques to analyse big data and generate insights to tackle complex problems. These are pivotal skills for the 21st century, designed to meet the strong demand for data science professionals. 

With industry-focused practices, real-world datasets, and hands-on tools, you will develop an in-depth understanding of deep learning, data management, data mining, and decision making. Throughout your study, you will learn how to wrangle, analyse, visualise, predict, and find insights into data to solve a host of real-world problems.

You will gain targeted expertise in:

  • machine learning
  • deep learning
  • big data management
  • data mining
  • exploratory, predictive and prescriptive data analysis
  • data visualisation
  • business-oriented data analytics
  • cyber security-oriented data analytics
  • web, cloud and mobile application development.

The Bachelor of Data Science is provisionally accredited at a professional level by the Australian Computer Society

Victoria University degrees are internationally recognised and help you find a satisfying career within and outside Australia.

Study Option

  • Tuition Fees
  • Duration156 Weeks
  • Intake29 April 2024, 29 July 2024, 30 September 2024
  • Study Typecampus
  • Campuses VIC - Victoria University Footscray Park

    Ballarat Rd, FOOTSCRAY, Victoria 3011

Course Structure

To attain the award of Bachelor of Data Science students will be required to complete

  • 288 credit points of core units.

 

Career Outcomes

The Bachelor of Data Science at VU can help you launch a career perfectly aligned to industry demand. 

Potential roles include:

  • data analyst 
  • data scientist
  • data analysis specialist
  • data engineer
  • data consultant
  • data systems developer
  • information security analyst 
  • data visualisation specialist 
  • reporting analyst
  • AI scientist
  • AI engineer
  • business intelligence (BI) analyst
  • Business intelligence specialist
  • market intelligence manager
  • data warehouse architect 
  • statistician
  • mobile/web/cloud software developer.

Academic

Completion of an Australian Senior Secondary Certificate (VCE or equivalent) including Units 3 and 4: a study score of at least 25 in English (EAL) or 20 in any other English (or equivalent).

Entry Requirement

IELTS (or equivalent): Overall score or 6.0 (with no band less than 6.0 in Listening, Reading, Writing and Speaking).
OR:
Completion of a Foundation course or equivalent.

 

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