Course code: #431
These are mandatory and all come with course.
Numerous applications require professionals with advanced skills in machine learning and big data.
The Master of Computer Science (Machine Learning and Big Data) at UOW focuses on preparing Information and Communication Technology (ICT) professionals.
It is designed for individuals with a Bachelor's degree in Computer Science or Information Technology to meet the challenges of rapidly advancing ICT technologies.
This degree will be a valuable asset if you seek 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 allows graduates to solve complex real-world problems by integrating computer science methods with effective management strategies and 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 can put theory into practice with an individual capstone project.
|Cost of living||1 person||$8,052|
|Accommodation||1 bed room||$15,063|
If you do not already meet the English requirements for your chosen course, you can complete an English course at UOW College Australia.
UOW also recognises English language courses offered by some other colleges in Sydney.
A guide to the length of the English course you may need to study is provided below.
Please note that this table should only be considered a guide. Lower Writing scores may mean you'll need to study English for longer.
|Score at time of application||Estimated time required to reach IELTS entry score (weeks)|
* for students with 6.0 overall but 5.5 in either reading or writing
# for students with 5.5 overall but less than 5.0 in reading or writing
Recognized Bachelor degree with an equivalent average mark of 60% in any area.
Applicants with other qualifications and substantial relevant professional experience may be considered.
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