Reg. Graduates from the programme will have both the … Vision and Mission; Career Opportunities; Programme. This course teaches students how to assess the levels of relevancy of data and its impact on various business operations. The Master of Mathematics in Data Science qualifies students to understand and develop mathematical models, methods, and algorithms for data organization and interpretation. The Capstone Project company partners in the academic year 2018/19 included Adobe Research, Alpha Telefonica, Facebook, Microsoft, and Tesco. Topics taught include data preparation (data cleaning, outlier analysis and transformation) and statistical techniques (regression modelling, multivariate statistics, and statistical inference). 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. Data mining is the process of knowledge discovery. program and can be started in either the spring or fall semester. Refer to fee webpage for more details. 11 Core Subjects 2. Apply now. This course covers basic and advanced topics in database management systems. The MSc in Analytics programme is an intensive one-year full-time or two-year part-time programme by coursework, taught in three semesters. Study or work with the School of Science and Technology in an environment that is inspiring, innovative and relevant to business and society. Reg. 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. Many of the business systems are dynamic systems in which their states change over time. These programmes used to be known as “Mayors’ Class”, and received the 2011 Business China Enterprise Award for their exemplary contributions in promoting Singapore-China bilateral ties. The costs of travel, accommodation and miscellaneo​us expenses are also not included and must be borne by the participant. Markov Chains, Markov Decision Processes. This course introduces a number of optimization methods commonly used in operations research. Data science is relevant to virtually all industries that matter right now; so proficient and knowledgeable data science Master’s degree graduates will be assets to employers in any industries they want to work in. Up to 40 students are admitted into the programme each year. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. 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.​. The probability and statistics course provides a systematic approach to understanding uncertainties. Analytics is the science of finding patterns in data to aid decision making. The Master of Science in Biomedical Data Science is the first graduate programme in the Asia-Pacific region offering data science training for specific application in the biomedical domain. 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. Access FREE* Mobile Microlearning courses developed by NTU Singapore, and advance your profession now with the highly sought-after skills in Data Science. Students graduate with connections to UC Berkeley’s extensive alumni network in the Bay Area and across the world. Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. 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. Students will be awarded the Master of Science in Analytics after completion of study. Ad-hoc Seminars on Analytic… 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. Copyright • Development of your understanding of deriving value from the data analytics functions is also a focus of this course. School of Biological Sciences. 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. As well, data mining software and tools, and applications of data mining to complex data types are covered. 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. The second part covers the implementation of a database system, including indexing, query processing and optimization and transactions. Stochastic Processes. NTU_PageContent. 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. 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. The MSc in Information Studies (IS) programme builds foundational skills across the breadth of the information studies field and provides opportunities for students to take courses in the following two categorisations: Library Science: Focuses on providing essential knowledge applicable in an type of librray or information management jobs. The MSA programme is an intensive one-year full-time (or 2-year part-time) programme by coursework taught in 3 trimesters. Undergraduate Programmes; Graduate Programmes (By Research) Graduate Programmes (By Coursework) Research. 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. NTU offers subsidised and non-subsidised graduate programmes. The admission criteria are as follows: Applicants may upload their TOEFL, IELTS, GMAT or GRE score via the online application. Tuition fees do not include the cost of recommended textbooks and other course materials. The Capstone Projects have covered a … 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. 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. The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. Last modified on This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. Gaussian and Markovian Processes. Professional consulting project mentored by experienced instructors to solve problems that are of great importance to the sponsoring companies. The MSc in Analytics programme is an intensive one-year full-time or two-year part-timeprogramme by coursework, taught in three semesters. 200604393R, © 2019 Nanyang Technological University The requirements for graduation are as follow: Note: On average, full-time students take 4-5 classes a week and part-time students take 2-3 classes a week. 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. Are most of masters either in Data Sciences or in Business Analytics? Disclaimer • In this course, we cover topics including weka, libsvm, IBM Business Analytics, Matlab, SAS, Rapid Miner and Cplex. Topics covered include linear programming, nonlinear optimization, discrete optimization, dynamic programming, and heuristics. Practicum I is a compulsory course. The degree focuses on the development of new methods for data science. 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. During workshops, the instructor will brief each topic and summarize the state of the art. 4-Nov-2020. Library Science: Focuses on providing essential knowledge applicable in an type of librray or information management jobs. Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. This course focuses on issues, data structures and algorithms on representation, storage, and access to very large digital document collections. As this programme is self-funded, it is not eligible for government subsidies. The two year Master program in Data Science is built on the Data Science B.Sc. Using a simulated business, the database module covers data concepts, structures, conceptual and physical design techniques, data administration and data mining. edge data science techniques to business challenges in the modern economy. 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. Statistical Modelling and Data Analysis includes a cluster of techniques primarily developed in the biomedical sciences, but are also widely used in social sciences like economics, and in engineering. 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. 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. 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. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. No. Deposit will be used to offset first payment. The Master of Science in Managerial Economics (MME) and the Master of Public Administration (MPA) were launched in 1998 and 2005 respectively. They acquire knowledge from statistics, optimization, and different mathematical theories of data representation and apply it in a machine learning context. 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 the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. 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 explores management, organizational, and technological issues in terms of the ways data are stored, managed and applied in businesses. The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. 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. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. 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. Copyright • NCPA offers six graduate programmes: Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. 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). Find complete information for Master of Science [M.Sc] (Data Science) Course - Complete Syllabus and Subjects. 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. No. Amounts quoted are exclusive of GST and subject to change. The graduation requirement for the programme 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. This course is a continuation of MH8101 Operations Research I. 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. Theory and practice of database management systems are integrated through hands-on experience with the design and implementation of a business solution. Introduction; Chair's Message; Leadership; Faculty; Our People; Job Openings; SBS Safety; Programmes. The first part introduces the foundation and practices in database design, including conceptual modelling, SQL, relational algebra and calculus, functional dependency and normalization. Hence, the students are capable to do scientific research, have a scientific awareness and c… It is a joint project of the Faculties of Statistics, Computer Science, and Mathematics, under the lea­der­ship of the Faculty of Statistics. 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. Bachelor of Science (Data Science and Artificial Intelligence) Professional Courses; People. The MSc in Analytics programme provides the skills and knowledge for applying cutting-edge data science techniques to business challenges in the modern economy. At this point of time, we have no scholarship, government service agreement, grant, or service obligation scheme available for students. 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. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. Students will form groups, to conduct deep survey and present the findings to the class. Data Science & Artificial Intelligence Research Centre@ NTU. Careers options include: Last modified on Topics covered include structure of the web, random graph models of networks, link analysis and web search, network dynamics, network effects, power law phenomena, the small-world phenomenon, and diffusion through networks. We offer both in a unique master for more skilled and powerful analysts!. Talented data scientists are needed in finance, healthcare, tech, and every other industry. Stochastic Modelling Applications. Home About Us. . When employed in occupations that handle large amounts of data, it is highly important to use that data to the best of its advantage. Embark on your lifelong learning journey anytime and anywhere at your convenience with NTULearn+, NTU’s first Continuing Education and Training (CET) app. Description : le Master of Science « Data Sciences & Business Analytics » est un diplôme délivré par ESSEC et CentraleSupélec, qui ont uni leurs forces et ont fait appel, pour développer un programme original, à leurs professeurs reconnus pour leur expertise et l’excellence de leur recherche. Home About Us. The course emphasizes basic concepts and techniques as well as practical applications relevant to business, social sciences and life 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. 1-Feb-2020. 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. This course introduces time series models and associated methods of data analysis and inference. 8 Elective Modules to Choose From 3. 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. 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. Data Protection and Privacy The new Master’s programme Applied Data Science enables you to become a data science professional with excellent analytic capabilities. It is a joint project of the Faculties of Statistics, Computer Science and Mathematics. Risk Assessment and Optimization in Data Science is yet another common prerequisite for Master’s in Data Science degree programs. 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. Last modified on Courses focus on real-world challenges facing: communities; organizations; individuals; Hands-on training through research projects, collaboration, and an internship give students a competitive edge in the job market. 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. In this course, we cover topics including Python, Cplex, R, Matlab, and SAS. 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’. Continuous-Time Markov Chains. MMS is a one-year full-time programme that is designed to develop comprehensive marketing expertise with the latest thinking, techniques and tools. By the end of the course, participants will gain critical IT skills in analysing business processes, improving these processes, developing business applications with an industry standard database and use data for business requirements. This course provides opportunities for students to learn cutting-edge technologies in data analytics, through interactive workshops. Steering Committee; Scientific Advisory Committee; Directors; Members; Research Staff; Research. Topics covered include Monte-Carlo simulation, queuing theory, discrete event simulation, stochastic programming, dynamic programming and optimal control, and inventory theory. 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. The residential data science master’s program from Indiana University is an immersive experience for future data science professionals. Successful international applicants must ensure that they have sufficient funds for the normal duration of the MSA program, after accepting the admission offer. 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 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. 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. 1-Feb-2020, Cognition and Behavioural Sciences Laboratory. Poisson Processes. 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