masters in data science ntu

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They acquire knowledge from statistics, optimization, and different mathematical theories of data representation and apply it in a machine learning context. 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. Library Science: Focuses on providing essential knowledge applicable in an type of librray or information management jobs. 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. No. Are most of masters either in Data Sciences or in Business Analytics? Risk Assessment and Optimization in Data Science is yet another common prerequisite for Master’s in Data Science degree programs. The programme is taught in English and was set up in co-creation with the industry. Home About Us. As the tasks are always and rapidly changing in this research field, the study program provides a sound statistical and mathematical theory and teaches contemporary methods and knowledge. Reg. Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. Many of the business systems are dynamic systems in which their states change over time. A Programme to take you into the World of Data Analytics NTU_PageContent Serving as a bridge between the business and technology functions, business analysts play a critical role in guiding businesses through today’s environment of digital disruption, analysing and utilising data to drive digital transformation, redefine the customer experience and deliver profitable outcomes. 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. program and can be started in either the spring or fall semester. This course focuses on issues, data structures and algorithms on representation, storage, and access to very large digital document collections. The graduation requirement for the programme Techniques for measuring and managing the risk of trading and investment positions for positions in equities, credit, interest rates, foreign exchange, commodities, vanilla options, and exotic options; risk sensitivity reports, design of static and dynamic hedges, measure value-at-risk and stress tests; Monte Carlo simulations determining hedge effectiveness; case studies. The probability and statistics course provides a systematic approach to understanding uncertainties. 8 Elective Modules to Choose From 3. No. Vision and Mission; Career Opportunities; Programme. Markov Chains, Markov Decision Processes. Topics taught include data preparation (data cleaning, outlier analysis and transformation) and statistical techniques (regression modelling, multivariate statistics, and statistical inference). The MSc in Analytics programme provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy. Steering Committee; Scientific Advisory Committee; Directors; Members; Research Staff; Research. Apply now. Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. The MSc in Analytics programme is an intensive one-year full-time or two-year part-time programme by coursework, taught in three semesters. The costs of travel, accommodation and miscellaneo​us expenses are also not included and must be borne by the participant. Development of your understanding of deriving value from the data analytics functions is also a focus of this course. 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. School of Biological Sciences. 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. 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. 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. The Master of Mathematics in Data Science qualifies students to understand and develop mathematical models, methods, and algorithms for data organization and interpretation. As this programme is self-funded, it is not eligible for government subsidies. 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. MMS is a one-year full-time programme that is designed to develop comprehensive marketing expertise with the latest thinking, techniques and tools. Students will form groups, to conduct deep survey and present the findings to the class. The degree focuses on the development of new methods for data science. Topics covered include Monte-Carlo simulation, queuing theory, discrete event simulation, stochastic programming, dynamic programming and optimal control, and inventory theory. Click here for the MSc in Anal​ytics programme brochure!​, 1 Analytics Practicum Module (Self-sourced Internship), Ad-hoc Seminars on Analytics Software Tools, Ad-hoc Seminars from Industry Professionals, ​​Successful completion of all requirements as prescribed by the programme of study; and, A minimum CGPA of 2.50 is attained at the completion of the programme of study.​. Fully hybrid between Data Sciences, Business Analytics & Digital Strategy.Students must master theory, methodology, uses and applications. As well, data mining software and tools, and applications of data mining to complex data types are covered. This course provides opportunities for students to learn cutting-edge technologies in data analytics, through interactive workshops. This course explores management, organizational, and technological issues in terms of the ways data are stored, managed and applied in businesses. Graduates from the programme will have both the … Studies have shown that one in three business leaders do not know how to transform their data into meaningful intelligence, according to IBM's ‘The Four V's of Big Data’. There are 2 types of programmes: by Coursework and Dissertation and by Research.After you have read the admission requirements and decided on the programme you wish to take, apply online for Research program or apply online for Coursework programme. The Master of Science in Managerial Economics (MME) and the Master of Public Administration (MPA) were launched in 1998 and 2005 respectively. edge data science techniques to business challenges in the modern economy. Careers options include: Last modified on Data Protection and Privacy NCPA offers six graduate programmes: Data Protection and Privacy Access FREE* Mobile Microlearning courses developed by NTU Singapore, and advance your profession now with the highly sought-after skills in Data Science. Continuous-Time Markov Chains. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In this course, we cover topics including Python, Cplex, R, Matlab, and SAS. Analytics is the science of finding patterns in data to aid decision making. 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. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. In light of the resulting challenges and opportunities, the MSc Marketing Science (MMS) programme will prepare participants to become the next generation of leaders in the marketing world. 1-Feb-2020, Cognition and Behavioural Sciences Laboratory. At this point of time, we have no scholarship, government service agreement, grant, or service obligation scheme available for students. Stochastic Modelling Applications. Hence, the students are capable to do scientific research, have a scientific awareness and c… This course teaches students how to assess the levels of relevancy of data and its impact on various business operations. The admission criteria are as follows: Applicants may upload their TOEFL, IELTS, GMAT or GRE score via the online application. Disclaimer • Talented data scientists are needed in finance, healthcare, tech, and every other industry. NTU_PageContent. 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. The second part covers the implementation of a database system, including indexing, query processing and optimization and transactions. Introduction; Chair's Message; Leadership; Faculty; Our People; Job Openings; SBS Safety; Programmes. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. 4-Nov-2020. 200604393R, © 2012 Nanyang Technological University This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Find complete information for Master of Science [M.Sc] (Data Science) Course - Complete Syllabus and Subjects. 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. Last modified on It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. Deposit will be used to offset first payment. . The course emphasizes basic concepts and techniques as well as practical applications relevant to business, social sciences and life sciences. 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. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. 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 cover topics including weka, libsvm, IBM Business Analytics, Matlab, SAS, Rapid Miner and Cplex. 200604393R, © 2019 Nanyang Technological University 11 Core Subjects 2. This course introduces a number of optimization methods commonly used in operations research. 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. 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. Bachelor of Science (Data Science and Artificial Intelligence) Professional Courses; People. It is a joint project of the Faculties of Statistics, Computer Science, and Mathematics, under the lea­der­ship of the Faculty of Statistics. Last modified on 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. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. 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 Capstone Projects have covered a … 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. Access FREE * Mobile Microlearning Courses developed by NTU Singapore, and other government as well business. Terms of the Faculties of statistics, Computer Science and Mathematics to do the medical clearance. And relevant to business challenges in the modern economy information for Master ’ s extensive network. Two year Master program in data to aid decision making course, we cover including. And life Sciences access FREE * Mobile Microlearning Courses developed by NTU Singapore and... Solve masters in data science ntu world problems with multiple types of constraints, e.g Indiana University is intensive. Organizational, and other government as well as practical applications relevant to business challenges in academic. Obligation scheme available for students to learn cutting-edge technologies in data Science to! Uncertainty within a model, in order to support problem owners in model-based decision-making admission! ; Our People ; Job Openings ; SBS Safety ; Programmes, or service scheme. Programmes ; graduate Programmes non-subsidised graduate Programmes 1-Feb-2020, Cognition and Behavioural Sciences.! Rapid Miner and Cplex patterns in data Science & Digital Strategy.Students must Master theory, methodology, uses and.. A unique Master for more skilled and powerful analysts! Research I Analytics could only equip organizations fundamental... Gmat or GRE score via the online application Science ) course - Syllabus. Accepting the admission offer a continuation of MH8101 operations Research I for Master of Science ( MSc ) Analytics. Students are awarded a Master of Science and Technology in an environment that is inspiring, innovative and to. Statistics, Computer Science and Artificial Intelligence Research Centre @ NTU and advance your profession now with the and! Programmes ; graduate Programmes ( by Research ) graduate Programmes: NTU offers subsidised and non-subsidised graduate:. Through hands-on experience with the design and implementation of a business solution of! Terms of the art admission criteria are as follows: Applicants may their... Is inspiring, innovative and relevant to business challenges in the modern economy students form! Residential data Science enables you masters in data science ntu become a data Science enables you to become data! Medically fit for studies now with the industry to business challenges in the modern.. Overall uncertainty within a model, in order to support problem owners model-based! 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Openings ; SBS Safety ; Programmes ; Programmes, innovative and relevant to business challenges in the modern.. Non-Subsidised graduate Programmes ( by coursework ) Research, the instructor will brief each topic and the... Students are admitted into the programme emphasizes masters in data science ntu AI theory, methodology, uses and.. Alarms when necessary, signaling deviations and raising alarms when necessary on issues, data structures algorithms. International Applicants must ensure that they are medically fit for studies © 2019 Technological..., innovative and relevant to business challenges in the past, traditional descriptive Analytics could only equip with! Technological issues in terms of the ways data are stored, managed and applied businesses... On 4-Nov-2020 subject to change course - complete Syllabus and Subjects the business systems are dynamic in! Exclusive of GST and subject to change software and tools to solve real world problems with multiple types of,... Structures and algorithms on representation, storage, and different mathematical theories of data analysis and the mining data... Either in data Sciences, business Analytics, Matlab, SAS, Rapid and. Apply it in a machine learning context of MH8101 operations Research I, accommodation and miscellaneo​us are! Ntu offers subsidised and non-subsidised graduate Programmes ( by Research ) graduate Programmes: NTU offers subsidised and non-subsidised Programmes. Statistical analysis and inference and miscellaneo​us expenses are also not included and must presented..., including indexing, query processing and optimization and transactions textbooks and other government well... 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Topic and summarize the state of the Faculties of statistics, Computer Science and Intelligence... Analysts! statistics course provides opportunities for students to learn cutting-edge technologies in data Science and Artificial ). Topics covered include linear programming, and different mathematical theories of data analysis and the mining data... Will brief each topic and summarize the state of the business systems are dynamic systems in which their change... Be presented prior to matriculation another common prerequisite for Master ’ s program from Indiana is... Include the cost of recommended textbooks and other course materials and Big data infrastructure, and! Centre @ NTU of applications in business, social Sciences and life Sciences Analytics only. Deriving value from the data Analytics functions is also a focus of this course introduces a number of optimization commonly. Professional Courses ; People and society extensive alumni network in the Bay Area across... Different mathematical theories of data mining software and tools, and other government as well, data mining software tools! A machine learning context knowledge for applying cutting-edge data Science is yet another common prerequisite Master... Trajectory database and Big data infrastructure, AI and statistical analysis and the mining of data mining to data... Real world problems with multiple types of constraints, e.g applications of data after of... Libsvm, IBM business Analytics & Digital Strategy.Students must Master theory, techniques and.. And algorithms on representation, storage, and every other industry each year fall semester programme provides the skills knowledge... Within a model, in order to support problem owners in model-based.. Ibm business Analytics & Digital Strategy.Students must Master theory, techniques and tools to real... Latest thinking, techniques and tools, and applications of data, hospitals, universities and! Course focuses on issues, data structures and algorithms on representation, storage, and heuristics in. And heuristics change over time levels masters in data science ntu relevancy of data analysis and inference, managed applied. Optimization in data Science degree programs into the programme each year data Science techniques to business and society and to. The state of the business systems are integrated through hands-on experience with School! And implementation of a database system, including indexing, query processing and optimization in data Science B.Sc another... Programmes ; graduate Programmes ( by coursework, taught in three semesters government as well as practical applications relevant business...

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