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.

Applicants for this course will need to meet the entry criteria outlined below. If you don’t meet the entry criteria, you may be able to gain entry by first completing a related course or unit(s). 

Meeting the minimum entry criteria does not guarantee entry into this course.

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).
PLUS:
A study score of at least 20 in Mathematics (any).
OR:
Completion of an Australian Advanced Diploma or Diploma (or equivalent).
PLUS:
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.

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

1. 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;
2. 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;
3. 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
4. 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.

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.