Master of Data Science
University of Newcastle
Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00109J
The program is professional in nature and industry oriented. Students will learn to understand and explore data using applied problem solving and computer practice. All learning will be underpinned by the required theoretical knowledge. The core courses cover foundational areas, such as data wrangling and visualisation, databases, predictive analytics, big data, and statistics. Students will complete a specialisation in either Computational Intelligence or Health Data Analysis. The Computational Intelligence specialisation is aligned to a computer science approach to data science, which includes further studies in data mining and machine learning. The Health Data Analysis specialisation focuses on medical statistics, biostatistics, and related areas, while providing transferrable data analysis skills also applicable to other domains.
Structure
Students are required to complete a total of, but no more than, 120 units, comprised of the following: 40 units of Core courses, 10 unit Program Directed course, One 60 unit Specialisation, 10 unit Elective
Subjects
- Databases and Information Management, Data Wrangling and Visualisation, Big Data, Predictive Analysis
Standard 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.
Study information
| Campus | Fees | Entry | Mid year intake | Attendance |
|---|---|---|---|---|
| Online | International: $60,960 | No |
| |
| Singapore | International: $60,960 | No |
|
Fee comments
Campuses: Online.
Fees are indicative and subject to variation. Overall program fee may vary based on course selection.
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