Bachelor Degree (Honours) in Data Science

Deakin University - Cloud Campus

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Overview

Explore the entire lifecycle of data to develop a deep understanding of how information is used to generate insights that inform strategic business decisions in the Bachelor of Data Science (Honours). Undertake a professional placement, work in teams with an industry partner to tackle authentic business challenges using real-world data sets and hone your skill through focused studies in an area that interests you most before completing a research project in your final year.

You will study the latest data science trends, insights and emerging topics to ensure you graduate with a 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.

Course information

Prerequisites

Year 12 prerequisites

Units 3 and 4: a study score of at least 25 in English as an Additional Language (EAL) or at least 20 in English other than EAL.

Non-Year 12 prerequisites

As for Year 12 or equivalent, see: www.deakin.edu.au/undergrad-entry.

Majors

Cloud technologies (minor only), Cyber security (minor only), Cyber security analytics (minor only), Data science (AI, Data mining, Machine learning, Data management, Discrete mathematics, Programming, Data analytics, Natural language processing), Education (minor only), Embedded systems (minor only), Finance (minor only), Full stack development (minor only), Health analytics (minor only), Human resource management (minor only), Marketing (minor only), Psychology (minor only), Retail management (minor only), Security management (minor only), Sports analytics (minor only), Sustainability and environmental science (minor only), Virtual and augmented reality (minor only).

Potential Career Outcomes

Graduates will have the skills, knowledge and industry connections to build a varied and sustainable career as data analysts, data scientists, business strategists, data engineers, data architects, data visualisation specialists or information analysts. Depending on the industry or sector you choose, you could be optimising digital marketing campaigns, developing innovative products, predicting customer sales patterns or increasing productivity in areas such as sales or supply chain management

Admission Criteria

Please refer to the Deakin University website for admission criteria information.

Course Seeker

This information is sourced from Course Seeker, a joint initiative between the Australian Government and the Tertiary Admission Centres. View more information on Course Seeker.


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