MASTERSTUDIES makes it easy for graduate students to find the right degree. WHY CHOOSE NUS MSc IN MARKETING ANALYTICS AND INSIGHTS? Most level 5000 modules are conducted in the evenings. 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 … 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. NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. We strive to impact society via education, research and outreach activities, and aspire to be the go-to academic […] 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. ... 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 … The Master of Computing programme uses the Cumulative Average Point (CAP) as a criterion for continuation and graduation. What documents are required to apply to this program? This module introduces basic data analytics concepts with a focus on applications that industrial and systems engineers commonly deal with. 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. Analytics is the art and science of integrating data, modelling and computation to generate insights and decisions that add value. Candidates who are on full-time candidature can have a maximum and minimum workload of 20 and 12 modular credits respectively per semester. Data literacy skills are relevant to everyone – from managers and CXOs to technical professionals. MSc in Accounting (Data and Analytics) The MSA programme is the first specialised Master’s degree in accounting data and analytics in Asia. 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. Quantitative Analysis 2. 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). trains computing professionals in advanced principles, algorithms, and applications in AI. Today, the data footprint is ever expanding and career success hinges on agile, analytical skill sets and mindsets. 1 programme from Asia based on the QS Business Masters Rankings in Business Analytics. Millions of networked sensors are also embedded in various devices such as mobile phones and tablet computers to sense, create, and communicate data. In this program, students learn through a balance of intellectual academic rigor and hands-on application. 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. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. In this program, students learn through a balance of intellectual academic rigor and hands-on application. The maximum and minimum workload for part-time candidates per semester are 12 and 4 modular credits respectively. What other funding options do you have for this program? Singapore is a leading business hub and a gateway to Asia for multinational corporations. 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. 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. 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. 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. , ranked n° at Eduniversal Bests Masters Ranking. Continuation/Graduation RequirementsThe Master of Computing programme uses the Cumulative Average Point (CAP) as a criterion for continuation and graduation. 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. It has the infrastructure, technology, and economic landscape in place to support businesses, which require data scientists, cybersecurity experts, artificial intelligence, and many more. 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. Computer Science 3. for full-time and part-time students are 1.5 years and 2.5 years respectively. 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). 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. However, in the current scenario, it’s hard for many organisations to achieve it as they are not backed by solid data. Tan Wye Yan (Data Science & Analytics): Kwan Im Thong Cho Temple Science Merit Scholarship . The dissertation option gives individual students the opportunity for independent study and research in the area of their selected specialisation. Anderson actually out-performs MIT Sloan for value for money, one of the five indicators used to compile the ranking. 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. 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). Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 [email protected] 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. 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. Can you send me more information about this program? 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. 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). At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. The University sets the minimum standards and specific programmes may implement stricter or additional requirements. 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. The University sets the minimum standards and specific programmes may implement stricter or additional requirements. 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. 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