For subsidised programmes, the substantial tuition subsidy from the Government of Singapore comes in the form of MOE Subsidy which is administered by the Ministry of Education (MOE) and is offered to all eligible students. Designed in consultation with partners from industry, and the business sector, our highly practical Data Science master's provides you with the relevant skills needed to analyse, synthesise and manage different types and sizes of data efficiently. Basically we go through the same foundational courses as computer science students. Its medical school is set up jointly with Imperial College London. In your days with MSE, there will be a wealth of knowledge and skills that will come your way. Students will learn various data crawling techniques and tools both through lectures and hands-on exercises in labs. The online application process is given below: The Master of Science in Analytics (MSA) programme is an interdisciplinary post-graduate programme suitable for professionals seeking to leverage business analytics in their respective fields, as well as recent college graduates pursuing a career in the data science industry. Nanyang Technological University, Singapore (NTU Singapore) and AMD have joined forces to launch a Data Science and Artificial Intelligence Lab, which will nurture next-generation tech leaders equipped with the latest industry-driven digital skills. We still learn data structures, algorithms and object-oriented programming. Apply now for Kingston University London's Data Science MSc degree. NCPA offers six graduate programmes: Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU The report also identified the following 10 master's programs in data science as those producing the top-scoring students: Baruch College; Best master's-level data science programs . MBA with Data Analytics. NTU has about 33,000 students in the colleges of engineering, science, business, education, humanities, arts, social sciences. This course covers how to obtain data from the web, and prepare retrieved data in various formats for further analysis. Stackable Graduate Certificate Programme in Data Science Print The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. NTU Master of Science in Project Management (MSc PM) has a separate application process. 1, Sec. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. H6752 Data Extraction Techniques. NTU offers subsidised and non-subsidised graduate programmes. *Learners may register for the Introduction to Data Science Suite to get full access for all 5 courses, or register for individual course.All courses are Free Of Charge for limited time only. Informaion Analytics: Focuses on using methods, tools and frameworks to manage, analyse and derive insight from traditional as well as digital information assets such as social, mobile, cloud and big data. Master of Science (MSc) Our suite of specialised master programmes is designed to equip participants with deep knowledge and expertise in Accountancy, Business Analytics, Financial Engineering, Marketing Scie nce and Asset & Wealth Management. 40 000 students. The Future Begins Here. High-dimensional Data Analysis: STAT5104: Data Mining: STAT5105: Applied Survival Data Analysis: STAT5107: Discrete Data Analytics: STAT6104: Financial Time Series: STAT6105: Basic Actuarial Principles and their Applications: STAT6106: Applied Bayesian Methods: STAT6107: Selected Topics on Data Science and Business Statistics: STAT6108 Programme Overview and Admission Requirement The Master of Science in Materials Science and Engineering is offered in NTU and is intended to equip students with the latest postgraduate level knowledge in materials science and engineering. Students will learn various data crawling techniques and tools both through lectures and exercises. 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