https://www.deakin.edu.au/__data/assets/image/0004/2481520/31112_bachelor-of-data-science_Hero.jpg

Bachelor of Data Science

Undergraduate degree

Learn how information is created, gathered, processed, analysed and used to generate insights and inform strategic decisions with the Bachelor of Data Science.

Key facts

English language requirements

Overall IELTS score of 6.0 with no band less than 6.0 (or equivalent). More information is available at www.ielts.org

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course overview

With every click, swipe, search, share and stream data is created. The rate of data generation is phenomenal and its sheer volume and complexity gives rise to considerable opportunity as businesses strive to harness the power of big data to remain competitive. Throughout the Bachelor of Data Science 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.

This course provides you with an opportunity to propel yourself into the thriving field of data science. 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 genuine 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’ll also have the opportunity to undertake minor studies in a topic of your choosing.

Read More

Course information

Award granted
Bachelor of Data Science
Year

2023 course information

Deakin code
S379
CRICOS code?
109274B Burwood (Melbourne)
Level
Undergraduate
Approval status

This course is approved by the University under the Higher Education Standards Framework.

Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 7.

Course structure

To complete the Bachelor of Data Science, students must attain 24 credit points, which must include the following:

  • Seventeen (17) credit points of core units
  • 3 credit points of Data Science capstone units
  • And one of:
    • A minor (4 credit points) OR
    • Four elective units (4 credit points)
  • Completion of STP050 Academic Integrity (0-credit point compulsory unit)
  • Completion of SIT010 Safety Induction Program (0-credit point compulsory unit)
  • Completion of STP010 Career Tools for Employability (0-credit point compulsory unit)
  • level 1 - maximum of 10 credit points
  • levels 2 and 3 - minimum of 14 credit points over both levels

Students are required to meet the University's academic progress and conduct requirements. Click here for more information.

Core

Year 1 - Trimester 1

  • Academic Integrity (0 credit points)
  • Safety Induction Program (0 credit points)
  • Career Tools for Employability (0 credit points)
  • Computer Systems
  • Discrete Mathematics
  • Data Science Concepts
  • Introduction to Programming
  • Year 1 - Trimester 2

  • Database Fundamentals
  • Introduction to Statistics and Data Analysis
  • Object-Oriented Development
  • Linear Algebra for Data Analysis

  • Year 2 - Trimester 1

  • Computer Networks and Communication
  • Data Wrangling
  • Data Structures and Algorithms
  • Plus one (1) minor or elective unit (one (1) credit point)

    Year 2 - Trimester 2

  • Professional Practice in Information Technology #
  • Feature Generation and Engineering ¥
  • Data Capture Technologies
  • One (1) minor or elective unit (one (1) credit point)


    Year 3 - Trimester 1

  • Natural Language Processing ¥
  • Machine Learning
  • One (1) minor or elective unit (one (1) credit point)

    Plus, one (1) credit point from the following capstone options:

  • Team Project (A) - Project Management and Practices ^ ~
  • OR

    One (1) SIT elective unit (1 credit point)

    Year 3 - Trimester 2

  • Deep Learning
  • One (1) minor or elective unit (one (1) credit point)

    Plus, two (2) credit points from the following capstone options:

  • Team Project (B) - Execution and Delivery ^ ~ AND
  • IT Placements and Industry Experience ^+
  • OR

  • Professional Practice (2 credit points)^+
  • ¥ available from 2024

     ^ 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 IT.

    ~ Note: Students are recommended to undertake SIT374 and SIT378 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT374 and SIT378 consecutively.

    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.

    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

    Additional course information

    For information regarding hardware and software requirements, please refer to the School of Information Technology's website, www.deakin.edu.au/information-technology/students or telephone 03 9244 6699.

    Course duration - additional information

    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

    Placement can occur at any time, including during the standard holiday breaks listed here: https://www.deakin.edu.au/courses/key-dates.

    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. Click here for more information.

    Work experience

    This course includes a compulsory work placement where you will be required to undertake a minimum of 100 hours in industry, providing professional work experience with an approved host organisation. Alternatively, high achieving students may have the opportunity to undertake an extended full-time paid industry-based learning placement (conditions apply, please refer to deakin.edu.au/sebe/wil.)

    Elective units may also provide additional opportunities for Work Integrated Learning experiences.

    Entry requirements

    Senior certificate of education

    If you are currently studying Year 12 or completed Year 12 in the previous two years and have not attempted higher education or VET/Polytechnic study since, your selection is based on the following.

    VCE 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

    This course uses the ATAR as part of its selection consideration.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    International equivalent requirements

    To view the international academic admission and English language requirements visit the International entry requirements page. If your course or country of origin is not listed please contact study@deakin.edu.au.

    To submit an application please visit the how to apply page.

    Higher education study

    If you have undertaken at least one unit of higher education after secondary schooling, your selection is based on the following.

    Education

    This course uses your entire academic record as part of its selection considerations.

    VCE Senior Secondary prerequisite studies

    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 or equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    International equivalent requirements

    To view the international academic admission and English language requirements visit the International entry requirements page. If your course or country of origin is not listed please contact study@deakin.edu.au.

    To submit an application please visit the how to apply page.

    Polytechnic study

    If you have undertaken at least one unit of Vocational Education and Training (VET) study after secondary school, your selection is based on the following.

    Education

    This course uses your secondary education and subsequent academic records as part of its selection considerations.

    VCE Senior Secondary prerequisite studies

    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 or equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    International equivalent requirements

    To view the international academic admission and English language requirements visit the International entry requirements page. If your course or country of origin is not listed please contact study@deakin.edu.au.

    To submit an application please visit the how to apply page.

    Work and life experience

    If you finished Year 12 more than three years ago or did not finish Year 12, your selection is based on the following.

    Education

    This course uses your entire academic record as part of its selection considerations.

    VCE Senior Secondary prerequisite studies

    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 or equivalent.

    All applicants must meet the minimum English language requirements. Please read about other ways of satisfying the English language proficiency requirement.

    Personal statement

    If you wish for your professional, work, life or community experience to be considered you are required to complete and submit a personal statement. Learn more about the personal statement.

    Selection is competitive and meeting the minimum entry requirements does not guarantee selection.  Our Admission Criteria and Selection Policy outlines the principles of selection.

    International equivalent requirements

    To view the international academic admission and English language requirements visit the International entry requirements page. If your course or country of origin is not listed please contact study@deakin.edu.au.

    To submit an application please visit the how to apply page.

    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.

    Access and equity

    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.

    Recognition of prior learning

    If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of Prior Learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of Prior Learning.
    Your Recognition of Prior Learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.

    You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree.

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place

    The tuition fees you pay are calculated depending on the course you choose.

    The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing the first year of this course. The cost will vary depending on the units you choose, your study load, the length of 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 eight credit points of a typical combination of units for that 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 international student fees.

    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

    Apply through VTAC and Deakin

    International students who are currently completing an Australian Year 12 in Australia or overseas should apply through the Victorian Tertiary Admissions Centre (VTAC), as well as directly to Deakin through StudyLink Connect – Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page.

    Apply through Deakin

    All other international students apply directly to the University through StudyLink Connect - Deakin University's International Student Application Service. For information on the application process and closing dates, see the How to apply web page.

    Deakin International office or Deakin representative

    Fill out the application form and submit to a Deakin International office or take your application form to a Deakin representative for assistance

    Need more information on how to apply?

    For information on the application process and closing dates, see the How to apply webpage.
    If you’re still having problems, please contact Deakin International for assistance.

    Entry pathways

    Further study options

    The Bachelor of Data Science and 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 may also lead to a Bachelor of Information Technology (Honours) or Bachelor of Data Science (Honours) in order to pursue a research pathway to Higher Degree by Research.

    Careers

    Career outcomes

    Skilled data professionals are in high demand as organisations increasingly rely on skilled specialists to unlock hidden patterns in big data to provide meaningful insights to make better-informed 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, you could be optimising digital marketing campaigns, develop new and innovative products and services, predict customer sales patterns, or increase productivity in areas such as sales or supply chain management.

    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 broad and coherent knowledge of data science, with detailed knowledge of the data analytics principles and approaches and knowledge, skills, tools, and methodologies for professional practice.

    Communication

    Communicate in a professional context to inform, motivate, and effect change, and to drive sustainable innovation, utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.

    Digital literacy

    Utilise a range of digital technologies and information sources to discover, analyse, evaluate, select, process, and disseminate both technical and non-technical information in data science projects.

    Critical thinking

    Evaluate information and evidence, applying critical and analytical thinking and reasoning, technical skills, personal judgement, and values, in decision making processes.

    Problem solving

    Apply theoretical constructs and skills and critical analysis to real-world and ill-defined problems and develop innovative data analytics solutions.

    Self-management

    Work independently to apply knowledge and skills to new situations in 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

    Contribute effectively as a skilled and knowledgeable individual to the processes and output of a work unit or team, applying specific knowledge and skills and using professional practices associated with the information technology industry.

    Global citizenship

    Apply professional and ethical standards and accountability in the preparation, handling, and analysis of data.

    Approved by Faculty Board 17 February 2022