Master in Business Analytics - This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. Offered in Singapore as a full-time (1-year) or part-time (2-year) programme, the NUS Master of Science in Business Analytics (MSBA) programme is designed to facilitate experiential learning, through a balance of intellectual academic rigour and hands-on applications. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. Established in 1905, the National University of Singapore (popularly known as ‘NUS') is an autonomous university having the oldest pedagogy of learning in Singapore. WHY CHOOSE NUS MSc IN MARKETING ANALYTICS AND INSIGHTS? Use our website to find information about degrees and career paths from around the world and speak directly with admissions officers at the schools and universities that interest you. Master of Science in Business Analytics (NUS MSBA), A good Bachelors’ degree, preferably from Business, Computing, Economics, Engineering, Mathematics, Science or Statistics, with a good honors classification; or at least 2 years’ relevant work experience, A good quantitative score in GRE/GMAT for overseas degree-holders. 1 programme from Asia based on the QS Business Masters Rankings in Business Analytics. The programme also provides advanced and in-depth knowledge of IT to prepare the students for challenges in IT career. Students must complete eight modules consisting of five essential modules and three elective modules over a span of 1 year as a full-time candidate or 2 years as a part-time candidate. The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. Choose from multiple specialisations The programme offers multiple data science specialisations, and is jointly offered by the Faculty of Science’s Department of Mathematics, Department of Statistics and Applied Probability, and Department of Computer Science. The University sets the minimum standards and specific programmes may implement stricter or additional requirements. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. In a 5-year partnership that ensued, with IBM contributing industrial knowledge and NUS offering academic expertise, BAC offered and hosted the NUS Master of Science in Business Analytics (MSBA) programme. Students will also access opportunities to interact and have in-depth discussions with various companies that are trailblazers in the relevant fields. To stay and complete the […] 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. Many schools offer master’s degrees in business analytics, data analytics, and/or analytics in business. This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. All core and elective modules are worth 4 MCs each, unless stated otherwise. Build a data-driven organisation. NUS Business Analytics Centre (BAC) offers the Master of Science in Business Analytics (MSBA) programme, designed and taught by award-winning academics from NUS Business School and NUS School of Computing. It is a research intensive university with a leaning towards entrepreneurial learning that is ranked as one of the top 20 universities in … It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics). Held in Singapore. It i… Singapore is a leading business hub and a gateway to Asia for multinational corporations. The list of AI specialisation core and elective modules are listed in Annex A (AI). MTM5004 Maritime Data Analytics This module is a continuation of IE5005 where knowledge learnt about data analytics is applied to tackle maritime-related problems. We then selected the top performers by overall average rank and organized them in descending order. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . Data Analytics. For more information on the University’s continuation requirements and duration of the programme, please refer to http://www.nus.edu.sg/registrar/academic-information-policies/graduate/graduate-continuation-and-graduation-requirements. There are a total of 12 data analytics courses under the Masters Data Analytics program and these primarily revolve around 3 main disciplines: Accounting Foundation, Data Technology, and Accounting Analytics. Please refer to Section S of Part II of this bulletin for details. The University sets the minimum standards and specific programmes may implement stricter or additional requirements. It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics). The SMU MITB Analytics (AT) track is Asia's first professional masters programme to meet the ever increasing demand for well-trained data analytics professionals. However, in the current scenario, it’s hard for many organisations to achieve it as they are not backed by solid data. The programme may be taken full-time or part-time. Can you send me more information about this program? This vibrant network provides MSBA alumni with mutual support throughout their professional careers and serves as a platform where business analytics enthusiasts can foster important connections for future business activities. What is the admission process for this program? Most level 5000 modules are conducted in the evenings.The Artificial Intelligence specialisation trains computing professionals in advanced principles, algorithms, and applications in AI. To address the spectrum of issues in data analytics, this curriculum has been designed to include core courses in statistical topics as well as areas for advanced applications of data analytics in unique fields. Students who opt to take the dissertation will need to complete the programme as follows: Out of the six modules, students are allowed at most two level 4000 modules (8 modular credits) and two modules (must be at least level 5000) from other faculties. For more information on the University’s continuation requirements and duration of the programme, please refer to, Executive Education & Part-time Programmes, Graduate Certificate in Computing Foundations, Executive Education & Part-time Programmes, http://www.nus.edu.sg/registrar/academic-information-policies/graduate/graduate-continuation-and-graduation-requirements, Dept. It encompasses latest research findings, both applied and fundamental. The maximum and minimum workload for part-time candidates per semester are 12 and 4 modular credits respectively. The maximum candidature is 3 years. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. The NUS MSc in Data Science and Machine Learning is supported by leading NUS researchers in data science as well as data scientists from industry. The dissertation option gives individual students the opportunity for independent study and research in the area of their selected specialisation. They are equipped with the necessary skill sets, techniques, tools and knowledge such as machine learning and deep learning to solve complex Business Analytics problems in different industries such as finance, retail, information technology, supply chain and healthcare. IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. Unlike any other postgraduate analytics programme, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. Now featuring 83 institutions, this year’s ranking of the top business analytics postgraduate programs is our biggest yet. The MSc in Accounting (Data and Analytics) program by SMU can either be taken in a one-year full-time or two-year part-time duration. Our Master of Science in Accounting programme is designed to help recent graduates adapt to the cultural and technological shifts in the accounting field. Depending on your area of interest, the career opportunities are boundless as the business analytics industry worldwide is growing at full speed. NUS MSBA Application Checklist - AY2021/2022 Program Description. NUS is well-positioned to leverage industry, academia and government partnerships for students who are keen to pursue a career in the analytics field locally and internationally. Our alumni are from various sectors and industries including but are not limited to: NUS Business Analytics Centre (BAC) offers the Master of Science in Business Analytics (MSBA) programme, designed and taught by award-winning academics from NUS Business School and NUS School of Compu REQUIREMENTS FOR COMPLETION AND GRADUATION To graduate from our NUS MSc in Marketing Analytics and Insights programme, you must complete the programme requirements and achieve a Cumulative Average Point (CAP) of at least 3.0 (out of 5.0). Read More. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. The emerging phenomena of Big Data – large pools of data sets that can be captured, communicated, aggregated, stored, and analyzed – has presented companies and organisations with trillions of bytes of information about their customers, suppliers, and operations. The NUS-ISS Stackable Certificate Programme in Data Science, leading to the NUS Master of Technology in Enterprise Business Analytics is designed to meet the industry demand for data scientists who can help organisations achieve improved business outcomes through data insights. Offered with the CEMS MIM, this double masters programme gives you the opportunity to combine marketing analytics and international management for a world of possibilities. The maximum candidature is 3 years. MASTERSTUDIES makes it easy for graduate students to find the right degree. Centre for English Language Communication (CELC) 24 Centre for Future-ready Graduates (CFG) 24 Duke-NUS 24; Faculty of Arts & Social Sciences (FASS) 24 FACULTY OF ARTS AND SOCIAL SCIENCES 24; Faculty of Engineering (FOE) 24 Faculty of Science (FOS) 24 Institute of Systems Science (ISS) 24 Lee Kuan Yew School of Public Policy (LKYSPP) 24 Multidisciplinary 24; NUS … Our Master of Science in Marketing Analytics and Insights programme is designed to groom recent graduates to meet the growing demand for data analysts across the industries to address marketing-related issues – predicting demand and trend, understanding consumer preferences and behavioural patterns, creating new product … It focuses on the computational fundamentals and principles that underlie intelligent systems (knowledge representations, machine learning and reasoning), as well as state-of-the-art technologies in major AI application domains (vision, speech & language processing, data analytics, and robotics). Statistics 4. Business SchoolRankings were weighted across these categories. why choose nus msc in accounting? Data is more readily available in the digital economy. for full-time and part-time students are 1.5 years and 2.5 years respectively. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. The normal candidature periods for full-time and part-time students are 1.5 years and 2.5 years respectively. ... Anderson actually out-performs MIT Sloan for value for money, one of the five indicators used to compile the ranking. The dissertation will be carried out under the supervision of an academic staff, and the selection of the topic/area will be done in consultation with the supervisor in the area of expertise. NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. Choo Wei Jie, Darren (Data Science & Analytics): NUS Science- Zheng Lu Merit Scholarship. When is the application deadline for this program? In this program, students learn through a balance of intellectual academic rigor and hands-on application. The National University of Singapore Master of Science in Business Analytics (NUS MSBA) programme offered by the NUS Business Analytics Centre (NUS BAC) is the No. Is this program offered part-time or full-time? We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] Today, the data footprint is ever expanding and career success hinges on agile, analytical skill sets and mindsets. trains computing professionals in advanced principles, algorithms, and applications in AI. The Master of Computing programme uses the Cumulative Average Point (CAP) as a criterion for continuation and graduation. A Master of Science in Business Analytics (MSBA) from a top school of business is worth it, now more than ever. , ranked n° at Eduniversal Bests Masters Ranking. What other funding options do you have for this program? In this program, students learn through a balance of intellectual academic rigor and hands-on application. The two schools which supported the programme in equal partnership and co-designed the programme’s curriculum, namely, NUS … The NUS MSc in Marketing Analytics and Insights + CEMS MIM . The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Through this course, gain insights on big data applications, analytics, and machine learning, and learn to leverage them for better business decisions. 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. Big data is now part of every industry sector and function of the global economy. The skills to make sense of data will enable you to make better informed decisions. The NUS Business Analytics Centre (BAC) was established in 2013, in collaboration with IBM, to develop the skills and knowledge of professionals in business analytics. Welcome to the Department of Analytics & Operations (DAO)! It has the infrastructure, technology, and economic landscape in place to support businesses, which require data scientists, cybersecurity experts, artificial intelligence, and many more. The MSBA capstone module will be a concurrent module in the form of capstone classes, industry analytics seminars, and a 3 to 6 months full-time consulting project. Operations managers champion efficiency and the competitive strategy. As a part of the National University of Singapore (NUS), the dynamic alumni community of MSBA graduates continue to engage with and enrich the business analytics ecosystem within and beyond NUS. What documents are required to apply to this program? Computer Science 3. Structure of ProgrammeStudents admitted to the Master of Computing are required to pass 40 modular credits, and are given the flexibility to complete their programme by selecting one of the below options: Students are required to pass ten modules (40 modular credits), meeting the following requirements: Out of the required maximum ten modules, students are allowed a maximum of two level 4000 modules and two modules (must be at least level 5000) from other faculties.Dissertation Option. Core topics include data modeling, data management, data mining, continuous and categorical data methods and applications, teamwork, and communication. Can I pay for this program in installments? In order to graduate from the MComp programme, students are required to fulfil the programme and specialisation requirements, as well as achieve a minimum final CAP of 3.0. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm Using Business Analytics to Answer Business Questions Dates 30 Mar & 5 Apr 2021 Duration 2 Days Course Overview Every organisation wants to enhance the value of their business. Students will learn how to communicate the main features of a data set, quantify relationships in data, predict using historical data, select between different data models and appreciate how data insights can influence decisions. In a data-driven economy, the ability to make better decisions, create value and develop a sustained competitive advantage using data analytics techniques, is imperative. Continuation/Graduation RequirementsThe Master of Computing programme uses the Cumulative Average Point (CAP) as a criterion for continuation and graduation. of Information Systems and Analytics, Dept. While MIT Sloan School of Management continues to top the ranking, there’s a new entrant at number two: UCLA’s Anderson School of Management. It encompasses latest research findings, both applied and fundamental. Candidates who are on full-time candidature can have a maximum and minimum workload of 20 and 12 modular credits respectively per semester. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Students admitted to the Master of Computing are required to pass 40 modular credits, and are given the flexibility to complete their programme by selecting one of the below options: three modules (12 modular credits) from the, remaining five modules (20 modular credits) can be chosen from level 4000 to 6000 modules offered by the School of Computing, MComp dissertation equivalent to four modules (16 modular credits) on a, remaining three modules (12 modular credits) can be chosen from level 4000 to 6000 modules offered by the School of Computing. Quantitative Analysis 2. We evaluated U.S. News & World Report rankings across multiple areas related to analytics, business and graduate studies, including: 1. The programme also provides advanced and in-depth knowledge of IT to prepare the students for challenges in IT career.The programme may be taken full-time or part-time. NUS MSBA Application Checklist - AY2021/2022. of Information System and Analytics. 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