Bachelor of Data Science
2023 Deakin University Handbook
Year | 2023 course information |
---|---|
Award granted | Bachelor of Data Science |
Course Map | The course map for new students commencing from Trimester 1 2023. The course map for new students commencing from Trimester 2 2023. Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central. |
Campus | Offered at Burwood (Melbourne) |
Online | Yes |
Duration | 3 years full-time or part-time equivalent |
CRICOS course code | 109274B Burwood (Melbourne) |
Deakin course code | S379 |
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 sub-headings
- Course overview
- Indicative student workload
- Career opportunities
- Participation requirements
- Mandatory student checks
- Fees and charges
- Course Learning Outcomes
- Course rules
- Minor sequences
- Course structure
- Work experience
- Details of minor sequences
- Other learning experiences
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.
Indicative student 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.
Career opportunities
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.
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. More information available at Disability support services.
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.
Equipment requirements
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.
Fees and charges
Fees and charges vary depending on your course, the type of fee place you hold, your commencement year, the units you choose and your study load.
Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
Use the Fee estimator to see course and unit fees applicable to your course and type of place. Further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods is available on our Current students fees website.
Course Learning Outcomes
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
Course rules
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.
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
- Marketing
- Psychology
- Retail Management
- Security Management
- Sports Analytics
- Sustainability and Environmental Science
- Virtual and Augmented Reality
Course structure
Core
Year 1 - Trimester 1
STP050 | Academic Integrity (0 credit points) |
SIT010 | Safety Induction Program (0 credit points) |
STP010 | Career Tools for Employability (0 credit points) |
SIT111 | Computer Systems |
SIT192 | Discrete Mathematics |
SIT112 | Data Science Concepts |
SIT102 | Introduction to Programming |
Year 1 - Trimester 2
SIT103 | Database Fundamentals |
SIT191 | Introduction to Statistics and Data Analysis |
SIT232 | Object-Oriented Development |
SIT292 | Linear Algebra for Data Analysis |
Year 2 - Trimester 1
SIT202 | Computer Networks and Communication |
SIT220 | Data Wrangling |
SIT221 | Data Structures and Algorithms |
Plus one (1) minor or elective unit (one (1) credit point)
Year 2 - Trimester 2
SIT223 | Professional Practice in Information Technology # |
SIT343 | Feature Generation and Engineering ¥ |
SIT123 Data Capture Technologies [No longer available for enrolment from 2024, alternate unit SIT225]
One (1) minor or elective unit (one (1) credit point)
Year 3 - Trimester 1
SIT330 | Natural Language Processing ¥ |
SIT307 | Machine Learning |
One (1) minor or elective unit (one (1) credit point)
Plus, one (1) credit point from the following capstone options:
SIT374 | Team Project (A) - Project Management and Practices ^ ~ |
OR
One (1) SIT elective unit (1 credit point)
Year 3 - Trimester 2
SIT319 | Deep Learning |
One (1) minor or elective unit (one (1) credit point)
Plus, two (2) credit points from the following capstone options:
SIT378 | Team Project (B) - Execution and Delivery ^ ~ AND |
SIT306 | IT Placements and Industry Experience ^+ |
OR
SIT344 | 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).
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.
Details of minor sequences
Cloud Technologies
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000011
Overview
In today’s data-driven digital world, cloud technologies are an area of significant business interest and their adoption and integration into business practices is growing at a rapid pace. This minor focuses on providing you with the knowledge, skills and expertise required to construct solutions using virtualisation, enterprise networks, system security and cloud infrastructure.
Units
SIT233 | Cloud Computing |
SIT325 | Advanced Network Security |
SIT323 | Cloud Native Application Development |
SIT314 | Software Architecture and Scalability for Internet-Of-Things |
Cyber Security
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000015
Overview
This minor sequence provides an insight into cyber security and equips you with skills in secure coding, security management and ethical hacking. In today's digital world, cyber security threats are a major challenge across many sectors. As cyber-attacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally.
Units
SIT182 | Real World Practices for Cyber Security |
SIT218 | Secure Coding |
SIT284 | Cyber Security Management |
SIT379 | Ethical Hacking |
Cyber Security Analytics
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000016
Overview
In today's digital world, cyber security threats are a major challenge across many sectors. As cyber-attacks become everyday occurrences, IT professionals with the ability to identify, analyse and manage cyber security challenges are in increasing demand globally. This minor sequence provides an insight into the analysis of data associated with cyber security attacks.
Units
SIT182 | Real World Practices for Cyber Security |
SIT282 | Computer Forensics and Investigations |
SIT384 | Cyber Security Analytics |
Plus one (1) unit from:
SIT326 | Advanced Network Analytics and Forensics |
SIT327 | Network Forensics |
Education
Campuses
Burwood (Melbourne), Online
Unit set code
MN-A000066
Overview
Explore topics like the sociology, politics and policy of education, the history and philosophy of education, how psychology is applied to the work of educators to better understand how people learn and become motivated, and how we teach each other about inclusivity and diversity.
Units
To complete a Minor sequence in Education studies, select any four (4) units from below, including no more than one (1) credit point at level one, and at least one (1) credit point at level 3.
EDU101 | Education, Knowledge and Society |
EDU102 | From Aristotle to ATARS: the History, Philosophy and Future of Education |
EDU201 | Educational Psychology |
EDU202 | Educators and Learners |
EDU203 | Literacy, Numeracy and Education |
EDU301 | Culture, Diversity and Participation in Education |
EDU302 | Education and Humanitarian Development |
EDU303 | Education, Communication and Technology |
Embedded Systems
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000005
Overview
This minor will focus on developing solutions that use hardware, software, sensors, actuators, prototyping platforms and systems software. Students will gain the skills and knowledge to solve real-world problems in smart-homes, the Internet of Things and Robotics.
Units
SIT122 | Robotics Studio |
SIT123 Data Capture Technologies [No longer available for enrolment from 2024, alternate unit SIT225]
SIT210 | Embedded Systems Development |
SIT329 | Advanced Embedded Systems |
Finance
Campuses
Burwood (Melbourne), Online
Unit set code
MN-M30005
Overview
This minor will provide students with an understanding of the basic principles of business finance and the operation of money and capital markets. This knowledge is extended into practical application in domestic and international equity and debt markets.
Units
MAF101 | Fundamentals of Finance |
Plus three (3) units from:
MAF203 | Business Finance |
MAF202 | Money and Capital Markets |
MAF306 | International Finance and Investment |
MAF307 | Equities and Investment Analysis |
Full Stack Development
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000012
Overview
Web development is one of the fastest-growing careers in today’s economy, with growing demand for full stack web developers who are proficient in both front-end and back-end web development. Throughout this minor sequence, you will explore responsive web apps, full stack development across frontend applications and backend services, and mobile programming for Android and iOS.
Units
SIT120 | Introduction to Responsive Web Apps |
SIT331 | Full Stack Development: Secure Backend Services |
SIT313 | Full Stack Development: Secure Frontend Applications |
SIT305 | Mobile Application Development |
Health Analytics
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000017
Overview
This minor provides specialisation in health data analysis, which will enable students to have specific domain knowledge to work with the experts of the field and introduce using data science tools in the area. Students who are interested in the field of health and want to work as a data scientist in this area are encouraged to do this minor. HSH302 (Policy, Politics and Health) is recommended as an elective for those wanting to extend their studies in this area.
Units
HBS107 | Understanding Health |
HBS108 | Health Information and Data |
HSH205 | Epidemiology and Biostatistics 1 |
HSH216 | Epidemiology and Biostatistics 2 |
Human Resource Management
Campuses
Burwood (Melbourne), Online
Unit set code
MN-M30012
Overview
This minor will equip students with the skills, knowledge and abilities in order perform basic workplace tasks in human resource management. Human resource management is a critical area that is relevant to all organisations, it encompasses employees working effectively within and for organisations.
Units
MMM132 | Management |
Plus three (3) units from:
MMH230 | Fundamentals of Human Resource Management |
MMH231 | Human Resource Practice |
MMH232 | Human Resource Development |
MMH349 | Employment Relations |
Marketing
Campuses
Burwood (Melbourne), Online
Unit set code
MN-M30008
Overview
This minor focusses on developing discipline knowledge and industry-relevant practices in marketing. There is a strong focus on industry-relevant insights, the latest marketing practices, future market trends and strategy development in an ever-changing business landscape. The knowledge and skills developed within the marketing minor are complementary to anyone looking to better understand drivers to successful business outcomes, irrespective of which sector a business may sit within.
Units
MMK101 | Marketing Fundamentals |
Plus three (3) units from:
MMK251 | Services Marketing |
MMK266 | Consumer Behaviour |
MMK295 | Integrated Marketing Communications in the Digital Age |
MMK368 | Business Marketing |
Psychology
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000019
Overview
This minor provides specialisation in Psychology, which will enable students to have specific domain knowledge to work with the experts of the field and introduce using data science tools in Psychology. Students who are interested in the field of Psychology and want to work as a data scientist in this area are encouraged to do this minor.
Units
HPS104 | Foundations of Psychological Science |
HPS111 | Introduction to Psychology: Human Behaviour |
HPS201 | Psychology Research Methods (Introductory) |
HPS301 | Psychology Research Methods (Intermediate) |
Retail Management
Campuses
Burwood (Melbourne), Online
Unit set code
MN-M30009
Overview
This minor provides you with an understanding of what underpins management and operations in today’s retailing sector. Retail business are finding it increasingly difficult to compete without adopting innovation as new retailers (e.g. Amazon), increasingly impact the retail landscape at the expense of more traditional bricks and mortar stores. There is a strong emphasis in the minor on the dynamic nature of retailing including evolving trends through the increasing prevalence of digital marketing technologies, which are changing every aspect of the retailing landscape.
Units
MMK101 | Marketing Fundamentals |
Plus three (3) units from:
MMK217 | Retail Management |
MIS313 | Strategic Supply Chain Management |
MMK280 | Brand Management |
MMK317 | Advanced Retail Management |
Security Management
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000003
Overview
This minor will provide the opportunity for you to use your gained managerial and cyber security skills to assist companies in their planning, governance and change policies to help ensure their resilience and defence of related threats.
Units
MIS211 | Cyber Security and Governance |
MMH356 | Change Management |
MMM132 | Management |
SIT284 | Cyber Security Management |
Sports Analytics
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000020
Overview
This minor provides specialisation in Sports and Exercise data analysis, which will enable students to have specific domain knowledge to work with the experts of the field and introduce using data science tools in Sports and Exercise. Students who are interested in the field of Sports and Exercise and want to work as a data scientist in this area are encouraged to do this minor.
Units
HSE010 | Exercise and Sport Laboratory Safety (0 credit points) |
HSE104 | Research Methods and Data Analysis in Exercise and Sport |
HSE202 | Biomechanics |
HSE311 | Applied Sports Science 1 |
HSE314 | Applied Sports Science 2 |
Sustainability and Environmental Science
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000021
Overview
This minor provides specialisation in Sustainability and Environmental Science, which will enable students to have specific domain knowledge to work with the experts of the field and introduce using data science tools. Students who are interested in the field of Sustainability and Environmental Science and want to work as a data scientist in this area are encouraged to do this minor.
Units
SLE101 | Environmental Techniques and Monitoring |
SLE121 | Environmental Sustainability |
SLE207 | Environmental Planning and Impact Assessment |
SLE239 Introduction to Geographic Information Systems [No longer available for enrolment from 2024, alternate unit SLE245]
Virtual and Augmented Reality
Campuses
Burwood (Melbourne), Online
Unit set code
MN-S000009
Overview
Virtual and augmented reality technologies are revolutionising business processes, disrupting the way companies work with complex data sets, and enhancing educational and training practices. They contribute to novel therapies and treatments, allow access to opportunities despite physical and geographical restrictions and have redefined the way we represent and interact with digital media whether it be our holiday souvenir snapshots or the latest interactive gaming experience.
Units
SIT183 | Interactive Application Design for Virtual and Augmented Reality |
SIT283 | Development for Virtual and Augmented Reality |
SIT253 | Content Creation for Interactive Experiences |
SIT383 | Assembling Virtual and Augmented Reality Experiences |
Other course information
Course duration - additional information
Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.
Further information
Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.
- Contact Student Central
Other learning experiences
You will have the opportunity to participate in a range of extra-curricular learning opportunities, such as internal and external competitions and challenges, industry projects within the Deakin Incubator Group, and international study tours.