The costs of travel, accommodation and miscellaneo​us expenses are also not included and must be borne by the participant. Theory and practice of database management systems are integrated through hands-on experience with the design and implementation of a business solution. We offer both in a unique master for more skilled and powerful analysts!. Ad-hoc Seminars on Analytic… Continuous-Time Markov Chains. Bachelor of Science in Data Science and Artificial Intelligence (New programme from AY18/19 onward) NTU_PageContent This is a full time four-year direct honours BSc degree programme jointly offered by SCSE and SPMS for students who aspire to master the demands of integrating the synergistic disciplines of computer science and statistics. Enrolling students must go to Medical Centre to do the medical check-up and obtain a receipt certifying that they are medically fit for studies. Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. MSc Data Science Master Program; UE 066 645; The English-language master program Data Science provides a scientifically and methodically founded education that is focused on lasting knowledge, enabling you to pursue both academic paths in subsequent doctoral studies and careers in a range of industry and business settings. Currently, the calculation of the required amount is based on $18,000 per year for living expenses, in addition to the tuition and miscellaneous student fees. 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. Careers options include: Last modified on NTU_PageContent. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are some of the topics covered in this course. Disclaimer • Topics include auto regressive (AR), moving average (MA), ARMA, and ARIMA processes, stationary and non-stationary processes, seasonal processes, identification of models, estimation of parameters, diagnostic checking of fitted models, forecasting, and spectral analysis. When employed in occupations that handle large amounts of data, it is highly important to use that data to the best of its advantage. 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. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. Library Science: Focuses on providing essential knowledge applicable in an type of librray or information management jobs. The Master of Science in Artificial Intelligence (MSAI) programme is created for students who wish to develop, design and implement AI systems and at the same time cultivate a deep understanding of AI for project management and policy making. Reg. One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Data Science and Analytics ; Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications. 200604393R, © 2019 Nanyang Technological University This course introduces a number of optimization methods commonly used in operations research. Introduction; Chair's Message; Leadership; Faculty; Our People; Job Openings; SBS Safety; Programmes. Modern businesses are turning toward increasingly sophisticated analytics methods to offer improved shopping suggestions to consumers, target previously-neglected markets, and improve the efficiency of their internal logistical processes and workflows. 8 Elective Modules to Choose From 3. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. You are able to apply these capabilities across a wide number of domains, such as health science, geo science, social and behavioural science and media studies. Stochastic Modelling Applications. As well, data mining software and tools, and applications of data mining to complex data types are covered. 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. Analytics is the science of finding patterns in data to aid decision making. 4-Nov-2020. 1-Feb-2020, Cognition and Behavioural Sciences Laboratory. Talented data scientists are needed in finance, healthcare, tech, and every other industry. During workshops, the instructor will brief each topic and summarize the state of the art. This course explores management, organizational, and technological issues in terms of the ways data are stored, managed and applied in businesses. 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