Postgraduate course
Master of Computer Science (Machine Learning and Big Data)
University of Wollongong
Courses included
{{course.name}}
This course has been cancelled
About
Machine learning is an essential approach to analysing and extracting useful information from a wide range of big data; it provides the fundamental tools for big data analytics. There are numerous applications requiring professionals with advanced skills in machine learning and big data. These applications include image recognition, computer vision, speech recognition and natural language processing, intelligent robotics, smart cars, automation, online search and recommendations, financial trading and risk management, healthcare, and personal and public security.
The Master of Computer Science (Machine Learning and Big Data) focuses on preparing Information and Communication Technology (ICT) professionals holding bachelor degree in computer science or information technology for the challenges of rapidly advancing ICT technologies. This degree will be a valuable asset if you are seeking to further your career in managerial roles related to information technology. It can also prepare ICT professionals for entry into research degrees: Master of Philosophy and PhD.
The Master of Computer Science gives graduates the ability to solve complex real-world problems by integrating computer science methods with effective management strategies, and by developing and deploying computer applications.
You will study subjects in Machine Learning Algorithms and Applications, Big Data Analytics and Computer Vision Algorithms and Systems. You will acquire the ability to solve complex real-world problems and meet the demands of society for big data scientists and specialists in a wide range of fields. You will be able to put theory into practice with an individual capstone project.
Admission criteria
Australian bachelor degree, or recognised equivalent, with an equivalent average mark of 60%.
Applicants with other qualifications and substantial relevant professional experience should contact UOW to discuss their options.
Fees and charges
This course will be offered as a Commonwealth Supported Place (CSP). This means the Australian government will subsidise your tuition fees by up to 75%. To be eligible for this fee subsidy, you must meet the following criteria: Be a domestic student, i.e. an Australian or New Zealand citizen, a permanent resident of Australia or a permanent Australian Humanitarian visa holder.
Refer to University of Wollongong current fee information.
^ Fee column represents an annual amount unless the course duration is less than one year and the amount then represents the full cost of the course.
Australian Government financial assistance
University of Wollongong scholarships and financial assistance
Further information
Read the full course details on the University of Wollongong website.
Visit the University of Wollongong website or call 1300 FOR UOW (1300 367 869).
Visit the Faculty of Engineering and Information Sciences website.
Email the faculty via UOW Future Students.
University of Wollongong degrees
The academic content of all programs is subject to routine review.