
The University of Newcastle
Master of Data Science
Nationally Recognised Higher EducationThe data science industry is a dynamic and rapidly evolving field of immense global significance. The comprehension and interpretation of data is pivotal to business success. Scientific exploration of diverse datasets plays a crucial role in evidence-based decision-making.
A Master of Data Science from the University of Newcastle will equip you with the essential specialised skills and knowledge required to understand and engage with a variety of data generated from diverse industries and settings.?This professional and?industry-oriented?program will enable you to apply your theoretical statistical and computational knowledge to better understand and explore data using applied problem solving and computer practice.
Explore the forefront of this industry, immersing yourself in the latest advancements and gaining a comprehensive understanding of data science. From foundational skills in data processing and visualisation, to the construction of intricate descriptive and predictive models, you will acquire the essential tools to navigate the complexities of this field with confidence. Elevate your proficiency in data science and equip yourself with the cutting-edge competencies demanded by the industry.
Delivery mode
The University of Newcastle offers this course through the following delivery modes:
Online
Set your own study schedule and balance study with your other commitments.
Entry requirements
Domestic Students
- There are no mandated entry requirements.
- Students with a three year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialisation are eligible to undertake the 120 unit program which can be completed in 2 years full time (commencing Semester 1), 1.5 years full time (commencing Semester 2) or up to 5 years part time.
- Students with a three year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognised Prior Learning (RPL) in an area related to data science and/or their chosen specialisation (also called cognate discipline) may be eligible to study between 80 and 120 units, inclusive.
- Students with a three year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialisation may be eligible to study between 80 and 120 units, inclusive.
- Students with a Graduate Certificate or Graduate Diploma (AQF level 8) in a cognate discipline to data science and/or data analytics may be eligible to undertake an 80 unit program which can be completed in 1 year full time or part time equivalent.
Minimum English Language Proficiency Requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement. Further information regarding English language proficiency requirements can be found at the English Language Proficiency for Admission Policy
Applicants for this program must satisfy a minimum English Language Proficiency Standard equivalent to an IELTS overall minimum of 6.5 with no subtest result below 6.0
Additional requirements may apply.Course fees
For more information about this course and payment options please enquire now.
Career opportunities
The Master of Data Science will prepare you for the following roles.
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Data Architect
A Data Architect manages data collection and management for a business or organisation. You’ll design management systems for organising and storing...
Analytics Manager
An Analytics Manager oversees the collection and analysis of data to support business decisions. You might work in various industries, including fi...
Big Data Engineer
A Big Data Engineer is responsible for designing and implementing robust data processing systems that facilitate the handling and analysis of large...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology...
Data Manager
A Data Manager oversees an organisation's data management processes, ensuring data integrity and accessibility. You may work in various sectors, fo...
Computational Physicist
A Computational Physicist applies computational methods and algorithms to solve complex physical problems. You might work in a research facility, u...
AI Specialist
An AI Specialist is a professional focused on the development, implementation, and optimisation of artificial intelligence systems within various i...
Computer Vision Engineer
A Computer Vision Engineer develops systems that enable computers to interpret and understand visual information from the world. You might work in...
AI Consultant
An AI Consultant is responsible for guiding organisations in the adoption and implementation of artificial intelligence technologies to enhance bus...
AI Ethicist
An AI Ethicist examines the ethical implications of artificial intelligence technologies. You might work within technology companies, research inst...
AI Architect
An AI Architect is responsible for designing and implementing advanced artificial intelligence solutions that align with the strategic goals of an...
Bioinformatics Scientist
A Bioinformatics Scientist analyses complex biological data using computational tools and methods. You might work in research institutions, pharmac...
Predictive Modeller
A Predictive Modeller analyses data to forecast trends and outcomes that support decision-making processes in various industries. You might work in...
Sports Analyst
A Sports Analyst evaluates and interprets data related to sports performance and strategy. You might work with sports teams, media outlets, or rese...
Biomathematician
A Biomathematician applies mathematical principles and techniques to solve complex problems in biology and medicine. You might work in research ins...
About The University of Newcastle
A university of and for our regions, the University of Newcastle has delivered superior education and world-class research since 1965.
The spirit of looking to the future to imagine and then realise possibilities is at the essence of the University of Newcastle: our motto is ‘I look ahead’.