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. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. School of Biological Sciences. Information retrieval models (including Boolean, vector space and probabilistic models), indexing and retrieval techniques, evaluation of information retrieval systems, text and web mining (content, structure and usage mining), web search (search engines, spiders, link analysis, agents), recommender systems and intelligent information retrieval, information extraction and integration are covered in this course. Disclaimer • The costs of travel, accommodation and miscellaneo​us expenses are also not included and must be borne by the participant. Tuition fees do not include the cost of recommended textbooks and other course materials. Graduates from the programme will have both the … Embark on your lifelong learning journey anytime and anywhere at your convenience with NTULearn+, NTU’s first Continuing Education and Training (CET) app. The programme consists of a total of 30 Academic Units (AU), with 24 AU stemming from core courses and 6 AU from elective courses: 1. 200604393R, © 2019 Nanyang Technological University Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. The online mba course: Master of Business Administration (MBA) with Data Analytics from AACSB and EQUIS accredited Nottingham Business School at Nottingham Trent University (NTU) is designed to help you unlock that ability. Analytics is the science of finding patterns in data to aid decision making. This course teaches students how to assess the levels of relevancy of data and its impact on various business operations. Stochastic Processes. 11 Core Subjects 2. This course provides opportunities for students to learn cutting-edge technologies in data analytics, through interactive workshops. Careers options include: Last modified on Amounts quoted are exclusive of GST and subject to change. It is a joint project of the Faculties of Statistics, Computer Science and Mathematics. Topics covered include Monte-Carlo simulation, queuing theory, discrete event simulation, stochastic programming, dynamic programming and optimal control, and inventory theory. The Master of Science (MSc) in Analytics 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. Topics covered include probability, conditional probability; random variables, joint distributions, conditional distributions and independence; probability laws, multivariate normal distribution; order statistics; convergence concepts, the law of large numbers, central limit theorem; estimation, Bayes estimators, interval estimation including confidence intervals, prediction intervals, Bayesian interval estimation; hypothesis testing, likelihood ratio tests; Bayesian tests; nonparametric methods, bootstrap. When employed in occupations that handle large amounts of data, it is highly important to use that data to the best of its advantage. Stochastic Modelling Applications. Our students leave us inspired by what they have learned, proud of their achievements and believing they have had the ideal preparation for their future lives and careers. Careers options include: Library careers, such as Librarians, Children Librarians, Subject Librarians; Research careers such as Researchers, Research Associates, Research Manager, Advance to PhD Study - University Lecturers/Professors; Technology-related careers, such as: Project Managers, Information Architects, Data Visualization Specialists, Business Analysts, Systems Analysts; and Information analytic-related careers such as Information Analysts, Social Media Analysts, Analytics Consultants, Statistical Specialists. The MSc Data Science Capstone Project will provide you with a unique opportunity to apply knowledge gained from the programme by working on a real-world data science project in cooperation with a company. edge data science techniques to business challenges in the modern economy. Are most of masters either in Data Sciences or in Business Analytics? The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. The online Master of Information and Data Science (MIDS) program is preparing the next generation of experts and leaders in the data science field and providing students with a UC Berkeley education without having to relocate. Ad-hoc Seminars on Analytic… Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. The second part covers the implementation of a database system, including indexing, query processing and optimization and transactions. The programme consists of a total of 30 Academic Units (AU), with 24 AU stemming from core courses and 6 AU from elective courses: The curriculum strongly emphasizes the application of analytics on real-world data, and includes one practicum core module of 6 AU. Many of the business systems are dynamic systems in which their states change over time. 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. Gaussian and Markovian Processes. 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