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. This course introduces a number of optimization methods commonly used in operations research. Supervised and unsupervised learning techniques including decision tree induction, nearest neighbour categorisation, cluster analysis, association analysis, support vector machines, Bayesian learning and neural networks are touched upon. In this course, we cover topics including Python, Cplex, R, Matlab, and SAS. Ad-hoc Seminars on Analytic… Analytics is the science of finding patterns in data to aid decision making. 200604393R, © 2019 Nanyang Technological University Our full-time students had found internships in organizations for the practicum module that include APL, BreadTalk, Charles & Keith, DHL, Experian, Grab, UPS, Shopee, Lazada, DBS, UOB, Johnson & Johnson, JR Group, Lenovo, MSD, PSA, and PwC. In this course, we introduce state of the art software packages such as SAS, R, IBM Business Analytics to teach students data analysis, data mining, predictive modelling, data visualization, decision optimization, and report generation. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. Real-world applications for understanding characteristics of time series data in economics, finance, management and industries, and modelling and evaluating forecasts upon which decision-making would depend are emphasized with lab using SAS. 11 Core Subjects 2. The Master of Science in Managerial Economics (MME) and the Master of Public Administration (MPA) were launched in 1998 and 2005 respectively. Many of the business systems are dynamic systems in which their states change over time. The graduation requirement for the programme Graduates from the programme will have both the leadership skills and analytic capability to contextualise information in different organisational environments so that they can (a) identify organisational information needs and gaps; (b) capture, search, organise, classify, analyse, and use information, and; (c) build and manage information organisations. This course teaches students how to assess the levels of relevancy of data and its impact on various business operations. As this programme is self-funded, it is not eligible for government subsidies. The costs of travel, accommodation and miscellaneo​us expenses are also not included and must be borne by the participant. Risk Assessment and Optimization in Data Science is yet another common prerequisite for Master’s in Data Science degree programs. 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. The first part introduces the foundation and practices in database design, including conceptual modelling, SQL, relational algebra and calculus, functional dependency and normalization. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. It is a joint project of the Faculties of Statistics, Computer Science, and Mathematics, under the lea­der­ship of the Faculty of Statistics. This course focuses on the statistical methods related to the analysis of survival or time to event data, introduces hazard & survival functions, censoring mechanisms, parametric and non-parametric estimation, and comparison of survival curves. The MSA programme is an intensive one-year full-time (or 2-year part-time) programme by coursework taught in 3 trimesters. 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. Poisson Processes. The two-year Master's program in Data Science builds on the Bachelor's program of the same name and can be started in either the winter or summer semester. In this course, we introduce state of the art software packages such as SAS, R, IBM Business Analytics to teach students data analysis, data mining, predictive modelling, data visualization, decision optimization, and report generation. 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. 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. Gaussian and Markovian Processes. 1 Analytics Practicum Module (Internship) 4. 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. The MSc in Analytics programme provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy. Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Budget Speech by Mr Tharman Shanmugaratnam, Deputy Prime Minister and Minister for Finance, Singapore, 25 February 2013, 2 November 2020 – 20 December 2021 (7 weeks), MH8131 Probability and Statistics (1.5AU), MH6301 Information Retrieval and Analysis (3AU), MH8311 Stochastic Processes for Data Science (1.5AU), MH8321 Statistical Modelling and Data Analysis (1.5AU), MH8322 Uncertainty and Dependence (1.5AU), MH8331 Financial and Risk Analytics I (1.5AU), MH8332 Financial and Risk Analytics II (1.5AU), MH8341 Data Management and Business Intelligence (1.5AU). Using a simulated business, the database module covers data concepts, structures, conceptual and physical design techniques, data administration and data mining. MMS is a one-year full-time programme that is designed to develop comprehensive marketing expertise with the latest thinking, techniques and tools. 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