This course focuses on issues, data structures and algorithms on representation, storage, and access to very large digital document collections. Reg. Stochastic Modelling Applications. Click here for the MSc in Analytics 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.. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. Disclaimer •
edge data science techniques to business challenges in the modern economy. 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. Risk Assessment and Optimization in Data Science is yet another common prerequisite for Master’s in Data Science degree programs. Up to 40 students are admitted into the programme each year. 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. The Capstone Project company partners in the academic year 2018/19 included Adobe Research, Alpha Telefonica, Facebook, Microsoft, and Tesco. 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. Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. 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. The MSA programme is an intensive one-year full-time (or 2-year part-time) programme by coursework taught in 3 trimesters. 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. Topics covered include Monte-Carlo simulation, queuing theory, discrete event simulation, stochastic programming, dynamic programming and optimal control, and inventory theory. 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. The course emphasizes basic concepts and techniques as well as practical applications relevant to business, social sciences and life sciences. The Capstone Projects have covered a … Talented data scientists are needed in finance, healthcare, tech, and every other industry. Bachelor of Science (Data Science and Artificial Intelligence) Professional Courses; People. School of Biological Sciences.
It is a joint project of the Faculties of Statistics, Computer Science, and Mathematics, under the leadership of the Faculty of Statistics. 200604393R, © 2012 Nanyang Technological University
Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making.
program and can be started in either the spring or fall semester. 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. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. 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). Continuous-Time Markov Chains. Stochastic Processes. 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. 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. This course introduces time series models and associated methods of data analysis and inference. 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 Master of Mathematics in Data Science qualifies students to understand and develop mathematical models, methods, and algorithms for data organization and interpretation. Home About Us. Copyright •
Analytics is the science of finding patterns in data to aid decision making. Access FREE* Mobile Microlearning courses developed by NTU Singapore, and advance your profession now with the highly sought-after skills in Data Science. Undergraduate Programmes; Graduate Programmes (By Research) Graduate Programmes (By Coursework) Research. 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. The two year Master program in Data Science is built on the Data Science B.Sc. 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). 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. Fully hybrid between Data Sciences, Business Analytics & Digital Strategy.Students must master theory, methodology, uses and applications. The programme is taught in English and was set up in co-creation with the industry. 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 residential data science master’s program from Indiana University is an immersive experience for future data science professionals. This course covers the fundamentals of Data Science including Big Data infrastructure, AI and statistical analysis and the mining of data. Poisson Processes. 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. Our graduate programmes lead to the award of the degrees of Doctor of Philosophy and Master. 1-Feb-2020, Cognition and Behavioural Sciences Laboratory. NCPA offers six graduate programmes: The graduation requirement for the programme 1 Analytics Practicum Module (Internship) 4. Refer to fee webpage for more details. 4-Nov-2020. 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. It is a joint project of the Faculties of Statistics, Computer Science and Mathematics. When employed in occupations that handle large amounts of data, it is highly important to use that data to the best of its advantage. This course teaches students how to assess the levels of relevancy of data and its impact on various business operations. 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. 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. Topics covered include linear programming, nonlinear optimization, discrete optimization, dynamic programming, and heuristics. Home About Us. NTU_PageContent.
11 Core Subjects 2. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. Introduction; Chair's Message; Leadership; Faculty; Our People; Job Openings; SBS Safety; Programmes. Hence, the students are capable to do scientific research, have a scientific awareness and c… 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. 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-time programme by coursework, taught in three semesters. This course is a continuation of MH8101 Operations Research I. As well, data mining software and tools, and applications of data mining to complex data types are covered. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. Development of your understanding of deriving value from the data analytics functions is also a focus of this course. 1-Feb-2020. The MSc in Analytics programme is an intensive one-year full-time or two-year part-timeprogramme by coursework, taught in three semesters. They acquire knowledge from statistics, optimization, and different mathematical theories of data representation and apply it in a machine learning context. 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. As this programme is self-funded, it is not eligible for government subsidies. This course covers basic and advanced topics in database management systems. 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. 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. Data Science & Business Analytics Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. Students will be awarded the Master of Science in Analytics after completion of study. 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. No. 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 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. Reg.
The admission criteria are as follows: Applicants may upload their TOEFL, IELTS, GMAT or GRE score via the online application. Careers options include: Last modified on
Students will form groups, to conduct deep survey and present the findings to the class. This course provides opportunities for students to learn cutting-edge technologies in data analytics, through interactive workshops. Find complete information for Master of Science [M.Sc] (Data Science) Course - Complete Syllabus and Subjects. NTU offers subsidised and non-subsidised graduate programmes. This course explores management, organizational, and technological issues in terms of the ways data are stored, managed and applied in businesses. The new Master’s programme Applied Data Science enables you to become a data science professional with excellent analytic capabilities. 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. Deposit will be used to offset first payment. Last modified on
In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Last modified on
. At this point of time, we have no scholarship, government service agreement, grant, or service obligation scheme available for students. Graduates from the programme will have both the … Amounts quoted are exclusive of GST and subject to change. Practicum I is a compulsory course. The first part introduces the foundation and practices in database design, including conceptual modelling, SQL, relational algebra and calculus, functional dependency and normalization. Data Science & Artificial Intelligence Research Centre@ NTU. 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. MMS is a one-year full-time programme that is designed to develop comprehensive marketing expertise with the latest thinking, techniques and tools. Tuition fees do not include the cost of recommended textbooks and other course materials. Ad-hoc Seminars on Analytic… 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. Apply now. 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. 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. 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