Bachelor of Data Science

by Victoria University Australia Claim Listing

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.

$9314

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Victoria University Australia Logo

img Duration

3 Years

Course Details

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.

Learning outcomes
On successful completion of this course, students will be able to:

  • Understand and apply a broad and coherent body of data science in a wide range of applications from the following areas: data modelling, data exploration, machine learning, data visualisation, business analytics, predictive analytics, data analytics for cybersecurity, IT profession and ethics, text mining and NLP;
  • Analyse and adapt the latest data science technologies with intellectual independence, self- learning capabilities and creativity to identify and solve real-world problems with sound decisions and judgement in a broad range of sectors including ICT, government, banking and finance, retail, education, health, social network and marketing;
  • Exhibit a range of technical, analytical, managerial, leadership and interpersonal skills; in depth understanding to the codes of ethics and conducts of data science professions; and
  • Exhibit a capacity to undertake IT design and development practice in an independent or collaborative environment with a strong industry focus; and the responsibility and accountability as a lifelong learner for their own learning and professional practice.

First-hand industry experience while you study

  • Our Bachelor of Data Science fosters a culture of practical experience through summer internships and final-year projects. 

Summer internships

  • Each year, 50 students within the IT program will be offered paid summer internships, in collaboration with the Victorian Chamber of Commerce and Industries (VCCI) and SMEs. 
  • The program has also established fractional FTE opportunities across various industry partners, such as Western Health (WH), VU ITS, and Her Creation Squad, among others. 
  • Each internship is guided by a supervisor from the IT program and a mentor from the industry, ensuring a seamless and professional learning experience through these placements.

Final-year projects

  • Students leverage their data analysis and data management skills to devise real-world solutions through a final year applied Project units NEF3001 and NEF3002. 
  • These units address industry-based learning of professional practices, on-campus WIL, and case studies. 

Most projects are sourced from industry partners who play the role of clients, while supervisors assume the role of project managers. Recent industry partners for these projects include:

  • Maribyrnong City Council (MCC)
  • Her Creation Squad
  • You Pack Logistics
  • Damaska Digital Australia
  • Curu
  • Raedan AI Pty Ltd. 

VU provides a balance of theory and practical work to give you the skills to fast-track your career. 

Our industry-focused curriculum prepares you with expertise in using theories, tools, and numerous marketable technologies, such as:

  • Mathematic and statistic fundamentals for data science
  • Database system management
  • Data science fundamental
  • Big data management 
  • Data visualization
  • Predictive analysis
  • Machine learning and data mining
  • Advanced data science, with a focus on text processing, computer vision, speech Processing, time series, forecasting, anomaly detection, etc
  • IT profession and ethics in data science
  • Project management in data science
  • Data analytics for cyber security
  • Data analytics for business
  • Business system development
  • Web/mobile/cloud application development.

As part of your study, you will learn about and engage with:

  • Industry case studies and data sets
  • Industry software applications and tools
  • Assessment tasks 
  • Industry-based projects 
  • Industry-specific internships. 

Our Industry Advisory Committee ia comprised of employers and industry professionals with data science expertise. The committee contributes to the development and continuous enhancement of this degree, ensuring the program evolves alongside industry trends.

While you are studying, you will have opportunities to engage with industry guest speakers and leading data science researchers as part of:

  • Work-Integrated Learning (WIL) courses
  • Seminars
  • Marketing events
  • Industry awards
  • Scholarship opportunities. 

Careers

  • 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
  • Sydney Branch

    160-166 Sussex Street, Sydney
  • Melbourne Branch

    295 Queen Street, Melbourne

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