Science
Bachelor of Data Science
Learning Mode
Full Time
Duration
3 Years
Start date
March, July
Qualification
Bachelor Degree (AQF Level 7)
Fees
AUD 42,000
Location
Burwood (Melbourne), Waurn Ponds (Geelong)
About the Course
The Bachelor of Data Science at Deakin University is an innovative and highly sought-after program designed to equip you with the expertise to extract valuable insights and knowledge from complex data. In today’s interconnected world, data scientists are crucial for making informed decisions across virtually every industry. This degree provides a strong foundation in computational thinking, statistical analysis, and machine learning, preparing you to tackle real-world data challenges.
You will gain hands-on experience with industry-standard tools and programming languages, learning how to collect, process, analyse, and visualize large datasets. The curriculum covers essential areas such as data management, predictive modelling, artificial intelligence concepts, and ethical considerations in data use. Deakin’s program emphasizes practical application and problem-solving, ensuring you develop the technical skills and critical thinking abilities required for a successful career in this rapidly expanding field.
Career prospects
Graduates of the Bachelor of Data Science are in high demand across diverse sectors, including technology, finance, healthcare, government, research, and retail. You will be prepared for specialist roles that leverage your analytical and computational prowess to drive innovation and support strategic decision-making. This qualification positions you for a dynamic and impactful career at the forefront of the data revolution.
Why choose Data Science at Deakin?
Practical, industry-focused skills
Gain hands-on experience with coding, machine learning, and analytics tools, preparing you for real-world data-driven careers.
Strong career pathways
Industry-informed curriculum equips you with in-demand skills, unlocking diverse global opportunities in the fast-growing data science sector.
Interdisciplinary learning
Study computing, maths, and statistics together, developing versatile problem-solving abilities for complex, cross-disciplinary data challenges.
Course Overview
The Bachelor of Data Science (S360) at Deakin University is a 24-credit point (3-year full-time equivalent) undergraduate degree designed to develop highly skilled data professionals. The program integrates computational science, statistics, and domain knowledge to equip students with the ability to manage, analyse, and interpret large and complex datasets.
The course structure typically includes:
- Foundational Computing and Mathematics: Core units in programming, algorithms, linear algebra, and calculus, essential for data manipulation and analysis.
- Statistical and Machine Learning Core: In-depth study of statistical modelling, predictive analytics, machine learning algorithms, and data mining techniques.
- Data Management and Visualisation: Practical skills in database systems, big data technologies, and effectively communicating insights through data Visualisation.
This interdisciplinary approach ensures graduates possess a robust blend of technical, analytical, and problem-solving skills, highly valued in the data science profession.
Course Duration
Length of the course
- 3 years full-time
Mode of Study for international students:
- Full-time enrolment is generally required for international students to comply with visa regulations.
Course Curriculum
The Bachelor of Data Science curriculum is designed to provide a comprehensive understanding of data science principles and their practical application across various domains.
- Core Data Science and Computational Units These units form the foundation of the degree, covering essential programming, mathematical, and statistical concepts for data. Examples include: Programming for data science, Data Visualisation, Data wrangling, Statistical foundations for data science, and Introduction to machine learning.
- Advanced Analytical Techniques and Applications Building on the core, these units delve into more sophisticated methods and real-world applications. Topics might include: Advanced machine learning, big data management, Data mining, and Ethical considerations in data science.
- Specialization and Electives Students can choose elective units to specialised further or broaden their knowledge in areas such as business analytics, cybersecurity, or specific applications of data science in health or finance. A capstone project often allows for the application of learned skills to a comprehensive data problem.
Admission Requirements
Entry Criteria
- Academic qualifications Applicants must have successfully completed Australian Year 12 (VCE) or equivalent, with a study score of at least 25 in English (EAL) or 20 in English other than EAL, and a study score of at least 25 in one of Mathematical Methods or Specialist Mathematics. A competitive ATAR or equivalent international qualification is required.
- Prior Tertiary Study: Applicants with prior tertiary studies in related fields may be considered, and credit for prior learning may be available.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL) For international applicants, demonstrated proficiency in English is mandatory. This is typically evidenced by:
- IELTS Academic: Overall band score of 6.0, with no band less than 6.0.
- TOEFL iBT: Minimum score of 60, with specific minimum scores for reading (15), listening (15), speaking (18), and writing (22).
- PTE Academic: Overall score of 50, with no communicative skill score less than 50.
Fees and Funding
Tuition Fees:
- AUD 42,000 (Undergraduate – per 1 year full-time for international students).
Scholarships and Bursaries: Deakin University offers a range of scholarships and financial aid opportunities to support eligible students in their Bachelor of Data Science studies. These include:
- Deakin Vice-Chancellor’s Academic Excellence Scholarship: For high-achieving international students.
- Deakin STEM Scholarship: Open to international students pursuing STEM degrees, including data science.
- Faculty of Science, Engineering and Built Environment Scholarships: Specific scholarships offered by the faculty for students demonstrating academic merit or financial need.
- Various other bursaries and support schemes are available, designed to assist students with their study costs and enhance their educational experience.
Career Opportunities
Potential job roles and industries Graduates of Deakin’s Bachelor of Data Science are exceptionally well-positioned for dynamic and impactful careers in a wide array of industries, equipped with highly sought-after analytical and computational skills. The program prepares you for roles at the forefront of the data revolution.
Common career paths include: Data Scientist, Data Analyst, Business Intelligence Developer, Machine Learning Engineer, Data Engineer, Statistical Analyst, Predictive Modeler, AI Specialist, Analytics Consultant, and Research Assistant. These roles span sectors such as technology, finance, healthcare, retail, marketing, government, logistics, and scientific research, offering diverse and impactful career trajectories globally.
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