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78 Master's degrees in Computer Science & IT in Singapore
Singapore is renowned for its top-notch educational institutions, particularly in the field of Computer Science & IT. The tuition fees for these programmes vary, with the lower-end starting at €8,776. The typical tuition fee you might encounter is around €35,272, making it accessible for many students. On the higher end, fees can go up to €45,074. It's encouraging to note that 1% of the programmes are considered affordable. Additionally, 14% of the Computer Science & IT programmes are available online, offering flexibility for students. A significant 72% of universities in Singapore offer these programmes, highlighting the country's commitment to technological education.

Data Sciences and Business Analytics
The Data Sciences and Business Analytics (DSBA) at ESSEC Business School - Paris is a cutting-edge programme that leverages the expertise of two of Europe's most prestigious Business and Engineering Schools. This intensive, full-time programme offers a comprehensive view of data sciences and business analytics, combining theoretical foundations with practical applications.

Computing - Artificial Intelligence
Develop, apply, evaluate and manage solutions for software systems, organisations and large scale data sources using the latest advances in analytics and industry-accepted standards with this Computing - Artificial Intelligence programme from Curtin University.

Information Systems
The Information Systems course at Nanyang Technological University blends theory and practice to equip students with cutting-edge knowledge necessary for the design, development, maintenance, and management of information systems to provide better user experience.

Robotics and Intelligent Systems
The Robotics and Intelligent Systems programme from Nanyang Technological University blends theory and hands-on practice for roles in robotics engineering, automation, intelligent systems, and R&D, with strong local and international prospects.

Predictive Analytics
The Predictive Analytics programme from Curtin University will provide you with an in-depth background to predictive analytics, data security, data mining, business applications and computing, including basic concepts of data analysis and visualisation.

Cyber Security (Applied Cybersecurity)
The Cyber Security (Applied Cybersecurity) course offered by Nanyang Technological University is a coursework-based graduate degree jointly offered by the College of Computing and Data Science (CCDS) and the School of Physical and Mathematical Sciences (SPMS).

Artificial Intelligence in Medicine
The Artificial Intelligence in Medicine degree at Nanyang Technological University is a cutting-edge programme designed to merge the realms of healthcare and AI seamlessly.

Analytics
The Analytics course offered by Nanyang Technological University provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy.

Predictive Analytics - Data Science
The Predictive Analytics - Data Science programme from Curtin University addresses the growing demand for data scientists who have the right blend of technical and analytical skills to meet the challenge of big data analytics.

Artificial Intelligence (MSAI)
The Artificial Intelligence (MSAI) course at Nanyang Technological University is a coursework-based graduate degree designed for professionals and graduates who want to deepen their expertise in AI theory, methodologies, and applications.

Biomedical Data Science
The Master of Science in Biomedical Data Science at Nanyang Technological University (NTU) is the first graduate programme in the Asia-Pacific region offering data science training for specific application in the biomedical domain.

Computer Control and Automation
The Computer Control and Automation course at Nanyang Technological University provides practising engineers with advanced practical tools in the development, integration, and operation of computer-based control and automation systems.

Artificial Intelligence and Data Science
Gain expert knowledge and specialist skills that combine artificial intelligence systems and machine learning algorithms. You’ll also develop a deeper understanding of the scientific methods behind successful data analytics with this Artificial Intelligence and Data Science programme from Murdoch University.

Information Studies
The Information Studies course at Nanyang Technological University combines theory and practice to address the growing need of organisations for skilled information professionals, equipping students with knowledge and skills across the breadth of the information studies field, including library science and information analytics.

Cyber Security
The Cyber Security programme from Curtin University is designed to upgrade your existing skillset in IT/computational science and add cyber security to your field of expertise.

Computing - Cyber Security
Gain knowledge of secure information infrastructure and systems; and how it is implemented and managed with this Computing - Cyber Security programme from Curtin University.

Enterprise Artificial Intelligence
The Enterprise Artificial Intelligence degree at Nanyang Technological University aims to address the critical industry needs and talent gaps by meeting the growing learning needs around business-centric AI skills, AI literacy for non-technical leaders, and responsible AI governance.

Applied Artificial Intelligence
The Applied Artificial Intelligence degree at Nanyang Technological University is designed to equip professionals from diverse disciplines with the knowledge and skills to effectively apply responsible AI in solving problems in their respective domains.

Predictive Analytics
You will learn the basics of predictive data analytics, and the concepts of data analysis, computing and visualisation with this Predictive Analytics programme from Curtin University.

Signal Processing and Machine Learning
The Signal Processing and Machine Learning course at Nanyang Technological University is designed for practicing engineers, hardware and software designers, data scientists, R & D managers, and industry planners who seek an understanding of current approaches and evolving directions for DSP and AI technologies.