Python is a complete open source language and platform that can be used for both research and development and developing production systems. Eligible Singapore Citizens and Singapore Permanent Residents enrolled may be given tuition fee subsidy by SkillsFuture Singapore (SSG). It offers the potential for huge societal and economic benefits. CS5421 Database Applications Design and Tuning. Data Science is revolutionising every area of science, engineering and commerce. Candidates are required to produce originals of the submitted documents for the School’s verification        during enrolment upon successful admission. Students with computing background, who will learn the application of AI technologies to build practical robot systems in the physical world. NUS graduate programmes cater to a variety of interests, namely: Doctoral degrees These are primarily research-based and are typically the first choice for students who seek depth of knowledge, enjoy creative problem solving, and who aspire to hold high level positions in their respective fields. For applicants whose medium of university instruction was not English, they are required to demonstrate their English proficiency by possessing a minimum TOEFL (Test of English as a Foreign Language) score of 580 (paper-based) or 85 (Internet-based), or a minimum IELTS (International English Language Testing System) Academic score of 6.0. You will receive the same quality of teaching conducted by our faculty members who are scholars, researchers, and thought leaders in their field of expertise. The curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. Choose any three of the following modules: IS5007 Strategising for Global IT-enabled Business Success, IS5151 Information Security Policy and Management. The Information Technology (IT) is ever changing and there is a constant need to upgrade one’s skillset. Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission. Apply now! The course aims on preparing an applicant on the methods of recording, storing, and analyzing data to forecast various aspects. It will also help to meet the growing demands for a big data workforce in all industries by transforming graduates in quantitative science into data science and analytics practitioners. a bank statement) indicating the availability of funding of at least S$40,000 or its equivalent. Data Analytics is the combination of Computer Science and Statistics. Entrepreneurship is a necessity in every institution regardless of size. Post Graduate Diploma in Sports Management Coming Soon. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. To be awarded the graduate certificate, the candidate will need to complete at least three modules within the enrolled graduate certification programme. Only modules taken on graded-basis are eligible for SSG funding. With the massive amount of data that is collected today, we need to have the computing skills to manipulate and extract relevant data prior to performing statistical analyses, which enables us to make informed decisions in a world where variability is everywhere. International applicants must submit documentary evidence of their ability to support their study (e.g. MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management. Explore the field of machine learning and data science with Python, the perfect programming language choice for beginners, through SMU’s Advanced Diploma in Python Programming and Machine Learning. IIM ROHTAK Executive Certification Programme in Data Analytics Admission Open. It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. it is not subsidised by the Singapore Ministry of Education), applicants are not eligible to apply for financial assistance from NUS (e.g. The NUS PhD (Data Science) programme is jointly hosted by the NUS Graduate School for Integrative Sciences and Engineering (NGS) and the Institute of Data Science (IDS). This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. Certificates@EPD Professional Conversion Programme Advanced Manufacturing Artificial Intelligence Cybersecurity Data Analytics Leadership & Management Lean Six Sigma Supply Chain & Logistics Tech-Enabled Services Urban Solutions and Sustainability Funding . Post Diploma Certificate in Decision Analytics. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. *Note: Students who have already taken both CS5339 and CS5242 to fulfil the requirements of the Graduate Certificate in Machine Learning and Applications should take either CS5340 Uncertainty Modelling in AI or any other module approved by the Department to fulfil the requirement of the graduate certificate. Students who take elective modules from two or more Graduate Certificate tracks will be eligible to be awarded at least two Graduate Certificates along with the Master’s Degree upon completion of the programme. Students with engineering background, who will learn AI technologies for intelligent robots. This certificate aims to equip students with the expertise in various aspects of database design, including performance tuning and optimization, and the data mining algorithms to extract information from massive data. Students who take elective modules only from the clusters are eligible to be awarded only the Master’s Degree. The Graduate Diploma in Systems Analysis programme (GDipSA) is designed for non-IT graduates intending to craft a new career path in the IT industry. Projects will be solicited from the industry by the Programme Management Committee, and allocated to students based on choice, balloting, and/or suitability. Curriculum: machine learning, artificial intelligence, and data analytics. Pre-requisites: Local polytechnic diploma in any field of study/2 H2 A-Levels passes and 1 H1 A-level pass with GP or KI/equivalent qualification. This is even so for the IT professionals like you. The key is to effectively charter IT policy for business growth and expansion. A non-refundable and non-transferable acceptance fee of S$5,000 - which will be credited towards your tuition fees - is payable upon acceptance of offer. You will gain the essential skills and confidence required to apply knowledge and understanding of issues surrounding big data analytics in a range of contexts. This certificate includes a focus set of modules on key aspects on the design and implementation of secure systems that cover the latest research findings, both applied and fundamental. Prospective applicants whose work schedules will affect their ability to attend daytime classes are strongly advised against applying for the programme on part-time basis. IS5451 Pervasive Technology Solutions and Development. All supporting documents must be in English or with English translation. The Data Science MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. (exclusive of prevailing GST). CS5260 Neural Networks and Deep Learning II, CS5339 Theory and Algorithms for Machine Learning. Any other supporting documents such as CV or professional certificates. • Admissions to the programme is granted on a competitive basis as places in the programme are limited. The convergence of big data and machine learning with technologies such as cloud services, sensors, ubiquitous computing, mobile devices and the Internet of Things has created vast new opportunities for business. Each application will be reviewed by the Admissions Committee. Harness the Potential of Big Data and Machine Learning. Those who are working in Singapore and applying for admission into the part-time MSc in Data Science and Machine Learning programme may upload a copy of their most-recent pay slip. Machine learning is a method of data analysis that automates analytical model building. For enquiries, please contact socgradc@comp.nus.edu.sg. Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. 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. For the list modules that are offered for the above Graduate Certificate programmes in the coming semester, please refer to Annex (SoC GC). Opportunities also exist for further academic study towards a doctorate degree and a career in research. Documents must be in English or with English translation English translation qualifications and related work experience also... 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