Bachelor Of Data Science

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

Throughout this course 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.

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.

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 real world 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 will also have the opportunity to undertake minor studies in a topic of your choosin

Course structure

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

• 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)

• 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 open elective units (4 credit points)

• no more than ten (10) credit points at level 1

• minimum of 14 credit points over levels 2 and 3

• six (6) credit points at level 3.

Academic requirements

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

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)

Admission criteria

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 course entry requirements to be considered for selection, but this does not guarantee admission.