Bachelor of Applied Data Analytics

ID:UOA610002
Level:3-Year Bachelor's Degree
Duration:
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Admission Requirements

Entry requirement

International Baccalaureate: 29

Successful completion of foundation programs at other Australian universities is acceptable for entry to an undergraduate degree at the University of Adelaide (subject to meeting University of Adelaide entry requirements).

English reuquirement

IELTS: Overall band score of 6.5 and band score of 6.0 in all bands
TOEFL: Paper-based: total score of 577 with a minimum of 4.5 in the Test of Written English (TWE) OR Internet-based: total score of 79 with a minimum of 21 in Writing, 18 in Speaking and 13 in Reading and Listening
PTE Academic: Overall score of 58 and skills profile of no less than 50 in all skills
C1 Advanced: Overall score of 176 and individual score of 169 in all skills

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Course Information

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
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.

More information: click here

Year 1

SCIENCE 1500 Introductory Data Science - Becoming Smart About Data
APP DATA 1010 Ethics and Data Management I
Approved Level I elective
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
Approved Level I elective

Year 2

APP DATA 2010 Data Handling and Visualisation II
Approved Level II elective
Approved Level II elective
Approved Level II elective

APP DATA 2015 Statistical Inference and Machine Learning II *
Approved Level II elective
Approved Level II elective
Approved Level II elective

Year 3

APP DATA 3010 Advanced Data Analysis III or APP DATA 3015 Numerical Modelling III *
Approved Level III elective Approved Level III elective #
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 #
Approved Level III elective #

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Pre Courses

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Pathway Courses

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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

605 AUD/year

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Bachelor of Applied Data Analytics

Fees (AUD)

Admission Requirements

Entry requirement

English reuquirement

Course Information

Pre Courses

Pathway Courses

Career Opportunity

Overseas Student Health Cover

Same Courses

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