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.
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.
