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Master of Data Science
About the Course
Career Outcome
Fees
About the Course
The Master of Data Science offered by UNSW Online is designed to equip students with the essential skills and knowledge required to thrive in the rapidly evolving field of data science. This comprehensive program covers key learning areas such as data analysis, machine learning, and statistical modelling, providing a robust foundation for understanding complex data sets. Students will engage with real-world applications, ensuring they can translate theoretical concepts into practical solutions that drive decision-making in various industries.
Throughout the course, participants will explore advanced topics including data visualisation, big data technologies, and ethical considerations in data usage. The curriculum is tailored to foster critical thinking and problem-solving abilities, enabling graduates to tackle contemporary challenges in data science. With a focus on collaboration and innovation, the program prepares students to work effectively in diverse teams and adapt to the dynamic nature of the data landscape.
By enrolling in this program, individuals position themselves at the forefront of a field that is increasingly integral to business strategy and operations. The Master of Data Science not only enhances technical expertise but also cultivates a strategic mindset, empowering graduates to lead initiatives that harness the power of data. Enquire to learn more.
What you’ll need
What you’ll need
To be eligible to study this course, applicants must meet the following entry requirements:
- Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics); AND
- Have sufficient Data Science background as indicated by an average mark of 70 or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics; AND
- Be proficient in the English language.
Entry via nested qualification
- For those who do not qualify for direct entry into the master’s program, you may be eligible for entry into the Graduate Diploma in Data Science. Generally, if you successfully complete the Graduate Diploma with a WAM of 65 or above, you can progress to the Masters.
Subject summary
Subject summary
In this data science course, the subjects you may study include:
Core Courses
- Principles of Programming
- Foundations of Data Science
- Statistical Inference
- Data Mining and Machine Learning^
- Regression Analysis#+
- Capstone Data Science Project
Elective Courses
Six electives from the following courses (one of which must be from the * course):
- Big Data Management*^
- Data Visualisation and Communication*#
- Multivariate Analysis for Data Scientists*#+
- Neural Networks, Deep Learning^
- Bayesian Inference and Computation Decision Making in Analytics#
- Data and Ethics
- Strategic Decision Making
- Database Systems
^Prerequisite: Principles of Programming. #Pre-requisite: Foundations of Data Science. +Prerequisite: Statistical Inference for Data Scientists.
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