Bachelor
Propel yourself into the thriving field of data science with Deakin's Bachelor of Data Science.
With every click, swipe, search, share and stream data is created. The rate of data generation is phenomenal and its volume and complexity gives rise to considerable opportunities as businesses strive to harness the power of big data to remain competitive. Throughout this course you will explore the entire lifecycle of data to develop a deep understanding of how information is created, gathered, processed, analysed and used to generate insights and inform strategic decisions.
You will study innovative course content covering the latest data science trends, insights and emerging topics to ensure you graduate with a specialist, technical and highly relevant skill-set that is sought-after by employers across the globe. Explore different analytical methods, tools and techniques as you learn key concepts and deep dive into advanced topics in machine learning, AI and predictive analytics.
Want to hone your analytical skills for a rewarding career in data science?
Designed in collaboration with industry, the Bachelor of Data Science gives you ample opportunity to sharpen your skill set under the guidance and direction of our supportive teaching staff. You'll explore fundamental concepts across maths, stats and programming at the beginning of the course, before diving into more advanced topics in data wrangling, capture and mining; machine learning; deep learning and AI. You'll also have opportunities to undertake a professional placement as part of studies and to work in teams with an industry partner to tackle authentic business challenges using real-world data sets as part of a capstone project in your final year. These real world learning opportunities enable you to deepen your knowledge, technical and problem-solving skills building your preparedness to enter the workforce and hit the ground running.
To differentiate your studies and focus your career towards the area that interests you most, you will also have the opportunity to undertake minor studies in a topic of your choosing.
Data professionals are in high demand as organisations increasingly rely on skilled specialists to unlock hidden patterns in big data to provide meaningful insights that inform decisions, drive business growth and increase their strategic advantage in the competitive business world.
No longer found solely amongst the big tech giants, data analysts are needed across every industry, opening a world of opportunities for your career.
As a graduate, you will have the skills, knowledge and industry connections to build a varied and sustainable career as a data analyst, data scientist, business strategist, data engineer, data architect, data visualisation specialist, information analyst or reporting analyst in the public and private sectors. Depending on what industry or sector you choose to find employment in, you could be optimising digital marketing campaigns, developing new and innovative products and services, predicting customer sales patterns, or increasing productivity in areas such as sales or supply chain management.
To complete the Bachelor of Data Science, students must attain 24 credit points, which must include the following:
Students are required to meet the University's academic progress and conduct requirements.
17
Core units
3
Capstone units
4
Minor/Elective units
24
Total
The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.
You can also refer to the Recognition of prior learning system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.