Master of Computer Science (Machine Learning and Big Data)
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 with a 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.
This degree
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.
What you will study
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.
Campus Information
Wollongong
UOW’s main Wollongong campus is set in native Australian bush and is one of the most picturesque university campuses in Australia. Less than two kilometres east is UOW’s Innovation Campus – a research and technology precinct that houses innovative organisations as well as some of UOW’s leading research institutes.
Intakes
- Feb
- July
Application Processing Time in Days: 8
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
We provide resources, programs, events and services to help students to establish appropriate career goals and to identify pathways and strategies to achieve those goals.
University of Wollongong support students in the following ways:
1. ORGANISE JOB FAIRS
2. JOB BOARD
3. CAREERS EVENTS & WORKSHOPS
4. WORK INTEGRATED LEARNING
PSW Opportunity
Students can get 2 years PSW visa if they complete the studies from Sydney Camus and 3 years PSW visa if the course is completed from Wollongong Campus.
Admission Requirement / Eligibility Criteria
- Course Code: 083839K
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
68736 AUD
Annual Cost of Living: 24505 AUD
Application Fee: N/A
Similar Programs
- Master of Information Technology (Information Systems Development) at University of Wollongong
- Master of Engineering (Telecommunications Engineering) at University of Wollongong
- Master of Engineering (Mining Engineering) at University of Wollongong
- Master of Engineering (Mechatronic Engineering) at University of Wollongong
- Master of Engineering (Mechanical Engineering) at University of Wollongong
- Master of Engineering (Materials Engineering) at University of Wollongong