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. 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 line with NTU’s unique pedagogy and practice of nurturing graduates who are workplace-ready, NBS is ramping up its line-up of work-study opportunities. Stochastic Modelling Applications. 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. 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. Through Drew’s Master of Science and graduate certificate programs in Data Analytics, you will: Learn how to obtain, prepare and manage data from a wide variety of sources. /Filter /FlateDecode Contact Info. Learn how to creatively solve big-picture business and social problems with data-driven solutions. Classes were developed specifically for the degree and are taught exclusively to students in the program. In this course, you will be exposed to a collection of data analytics techniques and gain hands-on experiences on using a powerful and industry standard data analytics software. Commitment 20 months. Master of Science in Applied Economics Programmes; Master of Science in Applied Economics; Admission Requirements; Admission Requirements Candidates should possess a degree in economics with good honours. The 100%-online Master of Science in Business Analytics with a focus on marketing from the D’Amore-McKim School of Business prepares students for problem solving by coupling comprehensive data analytics skills with an understanding of the big questions faced by companies. Value of data analytics skills to employers. Le Master of Science in Big Data Analytics for Business est conçu pour aider les étudiants à maîtriser les compétences commerciales, les méthodes et les outils d’analyse nécessaires pour transformer les BIG data en BIG insights en marketing, finance et gestion. 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 proposed Master of Arts (M.A.) The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. Students who underwent the NUS Masters of Science in Business Analytics (MSBA) programme will be well-equipped with skills such as machine learning to excel in the data-analytics field across various industries such as finance, retail, information technology, supply chain, and healthcare. With Esade’s Master in Business Analytics, you’ll acquire the technical skills and business vision that employers are looking for. Who is this program for? You’ll gain insights directly from pioneering experts and visit companies in high-tech innovative cities. Leave with a portfolio of projects and work experience from experiential learning projects and … Leaders, researchers, and analysts who have a broad base of knowledge in statistics and business intelligence and want breadth and depth in a particular discipline, but prefer the flexibility of learning on … 2020 Audi A7 Review. Do note other than academic qualification, the review committee takes into considerations the following when selecting suitable candidates for the programme: GMAT/GRE score of interested applicants with an overseas degree; Career credentials * All Fields are Required. 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. Office Address. 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. 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). Click here know more about our Doctor, Professor, Associate, Lectures and more. This course focuses on issues, data structures and algorithms on representation, storage, and access to very large digital document collections. Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. 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. Nanyang Technological University Data Science & Artificial Intelligence Research Centre@ NTU This course is a continuation of MH8101 Operations Research I. Master of Science in Analytics (MSIA) Northwestern University, ranked n°1 at Eduniversal Bests Masters Ranking No. Reasons to Choose the MSc in Business Analytics. /Fm0 9 0 R 8 Elective Modules to Choose From 3. 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. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. Our Online MBA with Data Analytics is designed to address the growing area of data science in business. Theory and practice of database management systems are integrated through hands-on experience with the design and implementation of a business solution. >> The probability and statistics course provides a systematic approach to understanding uncertainties. 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. 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