masters in data science ntu

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. 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. 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. The programme is taught in English and was set up in co-creation with the industry. The costs of travel, accommodation and miscellaneous expenses are also not included and must be borne by the participant. Home About Us. The programme emphasizes on AI theory, techniques and tools to solve real world problems with multiple types of constraints, e.g. Talented data scientists are needed in finance, healthcare, tech, and every other industry. 8 Elective Modules to Choose From 3. Finally, a few advanced topics such as XML database, trajectory database and big data will be covered. 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. Theory and practice of database management systems are integrated through hands-on experience with the design and implementation of a business solution. 200604393R, © 2019 Nanyang Technological University 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 two year Master program in Data Science is built on the Data Science B.Sc. During workshops, the instructor will brief each topic and summarize the state of the art. As this programme is self-funded, it is not eligible for government subsidies. Analytics is the science of finding patterns in data to aid decision making. It is an interdisciplinary field rooted in applied mathematics, with a wide range of applications in business, finance, and industry. Careers options include: Last modified on 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. Students will be awarded the Master of Science in Analytics after completion of study. Last modified on Access FREE* Mobile Microlearning courses developed by NTU Singapore, and advance your profession now with the highly sought-after skills in Data Science. Poisson Processes. 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. Many of the business systems are dynamic systems in which their states change over time. This course is a continuation of MH8101 Operations Research I. Disclaimer • Data mining is the process of knowledge discovery. Risk Assessment and Optimization in Data Science is yet another common prerequisite for Master’s in Data Science degree programs. Graduates have a strong track record of employment in libraries, hospitals, universities, and other government as well as business organisations. The Capstone Project company partners in the academic year 2018/19 included Adobe Research, Alpha Telefonica, Facebook, Microsoft, and Tesco. Stochastic Processes. 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.. 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 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. The MSc in Analytics programme is an intensive one-year full-time or two-year part-time programme by coursework, taught in three semesters. Refer to fee webpage for more details. Students will form groups, to conduct deep survey and present the findings to the class. Amounts quoted are exclusive of GST and subject to change. 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). Study or work with the School of Science and Technology in an environment that is inspiring, innovative and relevant to business and society. 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. Upon completion of study, students are awarded a Master of Science (MSc) in Analytics degree. No. Development of your understanding of deriving value from the data analytics functions is also a focus of this course. 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. Practicum I is a compulsory course. Find complete information for Master of Science [M.Sc] (Data Science) Course - Complete Syllabus and Subjects. Using a simulated business, the database module covers data concepts, structures, conceptual and physical design techniques, data administration and data mining. 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. Vision and Mission; Career Opportunities; Programme. 200604393R, © 2012 Nanyang Technological University NTU offers subsidised and non-subsidised graduate programmes. 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. Data Science & Artificial Intelligence Research Centre@ NTU. As well, data mining software and tools, and applications of data mining to complex data types are covered. Apply now. 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