Course 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. During the Bachelor of Data Science (Honours), you will have the opportunity to undertake a professional placement or work in teams with an industry partner to tackle authentic business challenges using real-world data sets. Hone your skills through focused studies in your area of interest and complete a research project in your final year.
Propel yourself into the thriving field of data science. 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.
Want to hone your analytical skills for a rewarding career in data science?
The Bachelor of Data Science (Honours) 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 can focus your studies towards your area of interest by undertaking minor studies in a topic of your choosing. In your final year, culminate your knowledge through the completion of an honours research project.
Read MoreCurrent Deakin Students
To access your official course details for the year you started your degree, please visit the handbook
Course information
- Award granted
- Bachelor of Data Science (Honours)
- Year
2025 course information
- VTAC code
- 1400511371 - Burwood (Melbourne), Commonwealth Supported Place (HECS)
1400611371 - Online, Commonwealth Supported Place (HECS) - Deakin code
- S479
- CRICOS code?
- 109275A Burwood (Melbourne)
- Level
- Undergraduate
- Australian Qualifications Framework (AQF) recognition
The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8
Course structure
To qualify for the award of Bachelor of Data Science (Honours) students must pass 32 credit points comprising:
- DAI001 Academic Integrity Module (0-credit point compulsory unit)
- SIT010 Safety Induction Program (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 one of:
- two minors (8 credit points) OR
- one minor (4 credit points), and four open elective units (4 credit points)
- a maximum of 10 credit points at level 1
- levels 2 and 3 - minimum of 14 credit points over both levels
- a minimum 4 credit points at level 7
Students are required to meet the University's academic progress and conduct requirements.
17
Core units
7
Capstone units
8
Minor/Elective units
32
Total
Core
Year 1 - Trimester 1
Year 1 - Trimester 2
Year 2 - Trimester 1
Plus 1 minor or open elective unit (1 credit point)
Year 2 - Trimester 2
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 1
Plus 1 minor or open elective unit (1 credit point)
Year 3 - Trimester 2
Plus 1 minor or open elective unit (1 credit point)
Plus 2 credit points from the following capstone options:
OR
Year 4 - Trimester 1
Plus 2 open electives or minor units (2 credit points)
Year 4 - Trimester 2
2 open electives or minor units (2 credit points)
Plus two (2) credit points from the following Research Training capstone options:
OR
^ Offered in Trimester 1, Trimester 2 and Trimester 3
# Corequisite of STP010 Career Tools for Employability (0-credit point compulsory unit)
+ Students must have completed STP010 Career Tools for Employability (0-credit point compulsory unit) and SIT223 Professional Practice in Information Technology.
* Entry to SIT746 is subject to specific unit entry requirements.
It is important to ensure your course plan meets the course rules detailed above. Students should contact Student Central for assistance with course planning, choosing the right units and understanding course rules.
Electives
Select from a range of elective units offered across many courses. In some cases you may even be able to choose elective units from a completely different discipline area (subject to meeting unit requirements).
Minor sequences
Refer to the details of each minor sequence for availability.
- 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
- Virtual and Augmented Reality
Students wishing to complete two minor sequences in the Bachelor of Data Science (Honours) cannot count more than 2 units in common for both minor sequences.
Intakes by location
The availability of a course varies across locations and intakes. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Check each intake for up-to-date information on when and where you can commence your studies.
Trimester 1 - March
- Start date: March
- Available at:
- Burwood (Melbourne)
- Online
Trimester 2 - July
- Start date: July
- Available at:
- Burwood (Melbourne)
- Online
Deakin splits the academic year into three terms, known as trimesters. Most students usually undertake two trimesters each year (March-June, July-November).
Additional course information
The learning experiences and assessment activities within this course may require students to have access to a range of technologies beyond a laptop or desktop computer. For information regarding hardware and software requirements, please refer to the ‘Bring your own device (BYOD)' guidelines' via the School of Information Technology website in addition to the individual unit outlines in the Handbook.
Course duration
Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.
Mandatory student checks
Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.
Workload
You can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.
Participation requirements
Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.
Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.
Work experience
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 units offered in this course provide you with the opportunity to develop your professional networks and work practices while completing your degree.
Elective units may also provide additional opportunities for Work Integrated Learning experiences.
For more information visit SEBE Work Integrated Learning.
Entry requirements
Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements to be considered for selection, but this does not guarantee admission.
If you don't meet the academic entry requirements as outlined in the tabs below, or haven't completed Year 12, or don't hold any relevant qualifications, the STAT (Skills for Tertiary Admissions Test) Multiple Choice (MC) may be an option for you to meet course entry requirements.
Academic requirements
Current or recent secondary education
If you’re currently studying Year 12, or completed Year 12 in the last two years, you will need to meet all the following criteria to be considered for admission to this degree:
Year 12 prerequisite subjects
- Units 3 and 4: a study score of at least 25 in English EAL (English as an Additional Language) or at least 20 in English other than EAL
ATAR
- Senior Secondary Certificate of Education with an unadjusted ATAR of at least 50 or equivalent
Higher education
If you have undertaken higher education studies after secondary schooling, you will need to meet all the following criteria to be considered for admission to this degree:
- successful completion of at least two bachelor level or above units (AQF Level 7 or equivalent) with a minimum WAM of 70 or equivalent
Vocational education
If you have undertaken any Vocational Education and Training (VET) study after secondary school, you will need to meet at least one of following criteria to be considered for admission to this degree:
- completion of a certificate IV or higher in a related discipline
- completion of a diploma or higher in any discipline
- at least 50% completion of a diploma or higher in a related discipline
Work and life experience
If you finished Year 12 more than three years ago, or did not finish Year 12, and haven't undertaken any further study, you may be considered for admission to this degree based on your work, volunteer and/or life experience.
Submit a personal statement outlining your motivation to study, previous education and employment history, and how this course can assist your career aspirations or progression. Think of it as a job application cover letter - it should be relevant and demonstrate your commitment and interest in this course or study area.
English language proficiency requirements
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:
- Victorian Certificate of Education (VCE) English Units 3 and 4: Study score of 25 in English as an Additional Language (EAL) or 20 in any other English
- IELTS overall score of 6.0 (with no band score less than 6.0) or equivalent
- other evidence of English language proficiency (learn more about other ways to satisfy the requirements)
Selection adjustments
Subject adjustment
A study score of 30 in any English, any Information Technology or any Mathematics equals 2 aggregate points per study. Overall maximum of 10 points.
Special entry access schemes (SEAS) enable Deakin to consider disadvantaged circumstances you may have experienced and the impact upon your studies. SEAS also allows us to identify if you’re from under-represented groups when making selection decisions for some courses. SEAS does not exempt you from meeting any of the course entry requirements. Learn more about Deakin’s special entry access schemes.
Admissions information
Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning. We're also committed to admissions transparency. Read about our first intake of 2024 students (PDF, 793KB) – their average ATARs, whether they had any previous higher education experience and more.
Not sure if you can get into Deakin? Discover the different entry pathways we offer and study options available to you, no matter your ATAR or education history.
Recognition of prior learning
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 (RPL) system which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.
Fees and scholarships
Fee information
Learn more about fees.
The tuition fees you pay will depend on the units you choose, as each unit has its own cost. The 'Estimated tuition fee' is provided as a guide only and represents the typical first-year tuition fees for students enrolled in this course. The cost will vary depending on the units you choose, your study load, the time it takes to complete your course and any approved Recognition of prior learning you have.
Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together 8 credit points of a typical combination of units for this course. Eight credit points is used as it represents a typical full-time enrolment load for a year. You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.
Learn more about fees and available payment options on our Current students fees website.
Scholarship options
A Deakin scholarship could help you pay for your course fees, living costs and study materials. If you've got something special to offer Deakin - or maybe you just need a bit of extra support - we've got a scholarship opportunity for you. Search or browse through our scholarships
Apply now
Applications for Trimester 1, 2025 open in August. Each year, thousands of students prepare for uni with the help of Deakin support services. We offer a huge range of support, including one-on-one consultations, webinars, online resources and events throughout the year.
Some of our courses have limited places available - to browse those still open for application, visit courses by trimester.
To apply, create an account in the Deakin Application Portal, enter your personal details and education experience, upload supporting documents and submit. Need help? Play this video, or contact one of our friendly future student advisers on 1800 693 888 or submit an online enquiry.
Entry pathways
View pathways into the Bachelor of Data Science (Honours) with our pathways finder.
Further study options
The Bachelor of Data Science (Honours) may be used as further study pathways into a postgraduate preservice teaching qualification through the Master of Applied Learning and Teaching and the Master of Teaching, which has options for Primary and Secondary teaching.
A Bachelor of Data Science (Honours) may also provide you with the opportunity to pursue a research pathway to Higher Degree by Research.Contact information
Our friendly advisers are available to speak to you one-on-one about your study options, support services and how we can help you further your career.
- Call us: 1800 693 888 Monday – Friday, 9am–5pm
- Live Chat: Monday - Friday
- Submit an online enquiry
- Help hub find common and trending questions and answers
Careers
Career outcomes
Data analysts and scientists are ranked in the top ten fastest growing jobs globally, with a 30% growth predicted over the next 5 years.# This courses provide you with the cutting-edge knowledge and hands-on experience to stand out in this booming industry.
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, 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.
Graduates from the Bachelor of Data Science (Honours) are highly sought after by employers for their investigative, exploratory and lateral thinking approach to complex data challenges. By undertaking a focused research project in your final year of study, you will acquire advanced technical expertise in your chosen specialisation. Plus you will have the skills to become a creative, solutions-driven professional in the dynamic and ever-evolving field of data science.
#Future of Jobs Report 2023 Image: World Economic Forum
Course learning outcomes
Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.
| Deakin Graduate Learning Outcomes | Course Learning Outcomes |
| Discipline-specific knowledge and capabilities | Develop a coherent and advanced knowledge of data science, with detailed knowledge of the data analytics principles and approaches and knowledge, skills, tools, and methodologies for professional practice and research. |
| Communication | Communicate in a professional context incorporating research-driven perspective to inform, explain and drive sustainable innovation through data science, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences. |
| Digital literacy | Identify, select and use digital technologies, platforms, frameworks, and tools from the field of data science to generate, manage, process and share digital resources for research and practice. |
| Critical thinking | Critically analyse information provided to inform decision making and evaluation of plans and solutions associated with research and practice in data science. |
| Problem solving | Apply cognitive, technical, and creative skills from data science to understand requirements and design, implement, operate, and evaluate innovative solutions to real-world and ill-defined computing problems. |
| Self-management | Work independently to apply knowledge and skills to new situations in research and professional practice and/or further learning in the field of data science with adaptability, autonomy, responsibility, and personal accountability for actions as a practitioner and a learner. |
| Teamwork | Work independently and collaboratively to achieve team goals, contributing knowledge and skills from data science practice and research to advance the teams objectives, employing effective teamwork practices and principles, and comprehending distinct workplace roles and their functions. |
| Global citizenship | Apply professional and ethical standards and accountability in research and practice in the field of data science, and engage openly and respectfully with diverse communities and cultures. |
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