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Course Overview
Eligibility
Career & Study Pathways
Quality & Recognition
Course Content
Academic Integrity and Respect at Deakin
0 credit point compulsory unit
Career Tools for Employability
0 credit point compulsory unit
Computer Systems
Discrete Mathematics
Introduction to Data Science and Artificial Intelligence
Introduction to Programming
Database Fundamentals
Introduction to Statistics and Data Analysis
Object-Oriented Development
Linear Algebra for Data Analysis
Computer Networks and Communication
Data Wrangling
Data Structures and Algorithms
Professional Practice in Information Technology
Feature Generation and Engineering
Data Capture Technologies
Natural Language Processing
Machine Learning
Team Project (A) - Project Management and Practices
Capstone unit
Deep Learning
Team Project (B) - Execution and Delivery
Capstone unit
IT Placements and Industry Experience
Capstone unit
Professional Practice
Capstone unit (2 credit points)
Research Techniques and Applications
Research training capstone unit (2 credit points)
Research Project
Research training capstone unit (2 credit points)
Research Project (Advanced)
Research training capstone unit (2 credit points); entry subject to specific unit entry requirements
Common Questions
To complete the Bachelor of Data Science (Honours), you must pass 32 credit points. This includes DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit), STP010 Career Tools for Employability (0-credit-point compulsory unit), 17 credit points of core units, 3 credit points of data science capstone units, 4 credit points of data science research training capstone units, and 8 credit points which may comprise of 2 minors, 1 minor and 4 credit points of open electives, or other combinations. A maximum of 10 credit points at level 1 and a minimum of 10 credit points at level 3 or above are required.
Yes, this course includes a compulsory work placement with an approved host organisation to take your learning beyond the classroom and prepare you to be work and career ready. Work Integrated Learning (WIL) units offered in this course provide you with the opportunity to develop your professional networks and work practices while completing your degree. Students also have the opportunity to work in teams with an industry partner to solve authentic business challenges using real-world data sets.
Students can choose from a wide range of minor sequences to focus their studies, including Cloud Technologies, Cyber Security, Cyber Security Analytics, Education, Embedded Systems, Finance, Full Stack Development, Health Analytics, Human Resource Management, Information Technologies Research, Marketing, Psychology, Retail Management, Security Management, Sports Analytics, Sustainability and Environmental Science, and Virtual and Augmented Reality. Students wishing to complete two minor sequences cannot count more than 2 units in common for both minor sequences.
Yes, the learning experiences and assessment activities within this course require that students have access to a range of technologies beyond a desktop computer or laptop. Students will be required to purchase minor equipment, such as small single board computers, microcontrollers and sensors, which will be used within a range of units in this course. The indicative cost of this equipment for this course is AUD$500. Equipment requirements and details of suppliers will be provided on a per-unit basis.
For current or recent secondary education applicants, you need Units 3 and 4 with a study score of at least 25 in English EAL or at least 20 in English other than EAL, and an unadjusted ATAR of at least 50 or equivalent. A Deakin Guaranteed ATAR of 65 is available for eligible students. For higher education applicants, successful completion of at least two bachelor level or above units (AQF Level 7 or equivalent) with a minimum WAM of 70 or equivalent is required. If you don't meet the academic entry requirements, the STAT (Skills for Tertiary Admissions Test) Multiple Choice (MC) may be an option.
Application
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Step 02
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Step 03
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