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Australia + NZ
Deakin University

Deakin University

Melbourne (Victoria), Australia

MSc in Data Science

3X your Admission Chances

Data Science & Big Data

Specialization

2 years (full time)

Duration

$48,759 overall

Tuition Fee

fall, spring, summer

Intake

Table of Contents

Eligibility Requirements Rankings Program Description Program Curriculum Employment Scholarships

Eligibility Requirements for Deakin MSc in Data Science

Academic Requirements

English Requirements

General requirements

1 year full time (2 years part time) - 8 credit points

Admission is based on:

Bachelor's Honours (AQF8) degree in a related discipline
Bachelor's degree in a related discipline, plus two years relevant work experience
Graduate Certificate of Data Science (or equivalent)
Evidence of academic capability judged to be equivalent

1.5 years full time (3 years part time) - 12 credit points

Admissions is based on:

Bachelor's degree in a related discipline
Bachelor's degree in any discipline, plus two years relevant work experience
Graduate Certificate of Data Analytics or equivalent
Evidence of academic capability judged to be equivalent

2 years full time (4 years part time) - 16 credit points

Admissions is based on:

Bachelor's degree or other qualification at a higher AQF level in any discipline
Evidence of academic capability judged to be equivalent

CRICOS code: 099225J

60/100

Bachelor's GPA Requirement

3 years degree

UG Requirement

Deakin MSc in Data Science Rankings

ARWU

201st

Deakin MSc in Data Science Program Description

Master of Data Science from Deakin University prepares students for professional employment across all sectors.

The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow's graduates and modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.

Throughout your studies you'll gain the technical skills to harness the power of data through artificial intelligence and machine learning to develop innovative solutions to the important challenges being faced by industry and governments.

Career

Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

Program URL:https://aeccglobal.com/australia/deakin-university

Deakin MSc in Data Science Program Curriculum

Advanced Machine Learning: This elective explores advanced machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
Cloud Computing and Big Data: This elective covers the fundamentals of cloud computing, big data management, and data analytics in cloud environments.
Data Mining and Visualisation: This elective focuses on the principles of data mining and data visualisation techniques for exploring and analysing large datasets.
Business Analytics: This elective provides students with the knowledge and skills to apply analytics in business contexts, including data mining, predictive modelling, and visualisation.
Data Science Ethics and Privacy: This elective explores the ethical and privacy considerations in data science, including issues around data security, privacy, and responsible data use.
Text Analytics: This elective focuses on the use of natural language processing techniques for text analytics, including sentiment analysis, topic modelling, and text classification.

Electives

Advanced Machine Learning: This elective explores advanced machine learning techniques, including deep learning, reinforcement learning, and unsupervised learning.
Cloud Computing and Big Data: This elective covers the fundamentals of cloud computing, big data management, and data analytics in cloud environments.
Data Mining and Visualisation: This elective focuses on the principles of data mining and data visualisation techniques for exploring and analysing large datasets.
Business Analytics: This elective provides students with the knowledge and skills to apply analytics in business contexts, including data mining, predictive modelling, and visualisation.
Data Science Ethics and Privacy: This elective explores the ethical and privacy considerations in data science, including issues around data security, privacy, and responsible data use.
Text Analytics: This elective focuses on the use of natural language processing techniques for text analytics, including sentiment analysis, topic modelling, and text classification.

Core Courses

Courses include:

Real World Analytics

Analytics for Security and Privacy

Research and Development in Information Technology

Machine Learning

Statistical Data Analysis

Modern Data Science

Descriptive Analytics and Visualisation

Specialization

Data Science & Big Data
Artificial Intelligence
Machine Learning

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Deakin MSc in Data Science Employment

Companies Recruiting Deakin MSc in Data Science Graduates

IBM: IBM is a global leader in the field of data science, and regularly recruits graduates with expertise in areas such as machine learning, data analytics, and artificial intelligence.
ANZ: ANZ is one of Australia's largest banking and financial services companies, and has a strong focus on using data analytics to drive business decisions. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as risk management, customer analytics, and marketing analytics.
Deloitte: Deloitte is a leading professional services firm that provides a range of services, including data analytics and consulting. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as data strategy, data governance, and data architecture.
Telstra: Telstra is Australia's largest telecommunications company, and has a strong focus on using data analytics to drive innovation and improve customer experience. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as customer analytics, network analytics, and digital analytics.
KPMG: KPMG is a global professional services firm that provides a range of services, including data analytics and consulting. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as data strategy, data governance, and data architecture.