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...
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.
By working with our industry, community and government partners, we translate new knowledge into innovations that make a real difference – to our communities, our economy and our planet.
Dedicated to our core values of equity, excellence, engagement and sustainability, the University of Newcastle is a globally recognised education institution committed to solving the world's greatest problems.
