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Business Management and Economics
Bachelor of Applied Data Analytics
Bachelor of Applied Data Analytics

Bachelor of Applied Data Analytics

  • ID:UA610036
  • Level:3-Year Bachelor's Degree
  • Duration:
  • Intake:

Fees (AUD)

Estimated Total/program:
Accept letter

Admission Requirements

Entry Requirements

Selection Rank (International): 70

International Baccalaureate (IB): 24


SACE Stage 2 Mathematical Methods or equivalent Physics or Specialist Mathematics are prerequisites for some first year courses

English Requirements

  • 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

Course Information

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



  • SCIENCE 1500 Introductory Data Science - Becoming Smart About Data,

  • APP DATA 1010 Ethics and Data Management I,

  • Approved Level I elective,


  • 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,



  •  APP DATA 2010 Data Handling and Visualisation II,

  • Approved Level II elective,


  • APP DATA 2015 Statistical Inference and Machine Learning II *,

  • Approved Level II elective,

Year 3,


 APP DATA 3010 Advanced Data Analysis III or APP DATA 3015 Numerical Modelling III *,

Approved Level III elective,


  • 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 #,

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Pre Courses

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Pathway Courses

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Career Opportunity

Career Opportunity

Merchant Banker, Bioinformatician, Broker, Farmer, Future Trader, Hedge Fund Manager, Management Analyst, Business Analyst, Business Data Analyst, Policy Adviser

Ability to settle

Overseas Student Health Cover

Overseas student health cover: $609 per year

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