Selection Rank (International): 70
International Baccalaureate (IB): 24
Prerequisites
SACE Stage 2 Mathematical Methods or equivalent Physics or Specialist Mathematics are prerequisites for some first year courses
IELTS: Overall 6.5, Reading 6, Listening 6, Speaking 6, Writing 6
TOEFL: Overall 79, Reading 13, Listening 13, Speaking 18, Writing 21
Pearson: Overall 58, Reading 50, Listening 50, Speaking 50, Writing 50
C1 Advanced: Overall 176, Reading 169, Listening 169, Speaking 169, Writing 169
Drive evidence-based decision-making
For decision-makers, data is gold. But only if it can be interpreted accurately. All around the world, in every industry, employers are seeking professionals with not only statistical expertise, but the ability to ‘see’ new solutions in oceans of numbers.
Our new Bachelor of Applied Data Analytics will help you step into this critical role in one of seven specialist areas: agriculture, bioinformatics, economics, environment, geosciences, physics, or public health.
What will you do
The degree is unique in Australia, in combining big-data analytics training with decision science. You will:
Learn to use big-data analytics within your chosen discipline, giving you the skills employers are looking for
Gain valuable industry experience through internship opportunities
Develop skills in statistical inference, including using machine learning
Design new models to address complex problems\
Apply data analysis to develop organisational strategies for success in your chosen discipline
Undertake a significant research project in your final year.
Where could it take you
You’ll be well equipped to help organisations in your chosen area of specialisation identify opportunities for improvement and growth. You could work in government, consultancies or large corporations, at home or abroad. Or perhaps you’ll apply your knowledge to drive decision-making in a venture of your own.
CRICOS: 0100937
More info: Click here
Degree Structure
Example Study Plan
More Quantitative Stream
Year1,
S1,
SCIENCE 1500 Introductory Data Science - Becoming Smart About Data,
APP DATA 1010 Ethics and Data Management I,
Approved Level I elective,
S2,
ECON 1008 Data Analytics I or STATS 1000 Statistical Practice I or STATS 1005 Statistical Analysis
and Modelling I,
MATHS 1004 Mathematics for Data Science I or MATHS 1012 Mathematics IB,
Approved Level I elective,
Year2,
S1,
APP DATA 2010 Data Handling and Visualisation II,
Approved Level II elective,
S2,
APP DATA 2015 Statistical Inference and Machine Learning II *,
Approved Level II elective,
Year 3,
S1,
APP DATA 3010 Advanced Data Analysis III or APP DATA 3015 Numerical Modelling III *,
Approved Level III elective,
S2,
APP DATA 3020 Capstone Project in Domain-Specific Decision Science III,
Approved Level III elective (OR APP DATA 3035 Statistical Inference and Machine Learning III),
Approved Level III elective #,
Merchant Banker, Bioinformatician, Broker, Farmer, Future Trader, Hedge Fund Manager, Management Analyst, Business Analyst, Business Data Analyst, Policy Adviser
Overseas student health cover: $609 per year
