Data Analytics is the combination of Computer Science and Statistics. Admission Requirements. Post Diploma Certificate in Decision Analytics. The Specialist Diploma in Data Science for Business enhances the skills and knowledge of participants in the area of advanced analytics such as augmented analytics, automated machine learning and data driven storytelling. This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. The objectives of the Specialist Diploma in Data Science (Data Analytics) are to provide training in the fundamentals of statistics and programming for data science, and to provide training on specialised skills in the areas of data mining and applied statistical methods. Key features. Diploma in Data Analytics Co-op. Brief statement of objective/purpose for applying to this programme. Applicants who are sponsored by an individual or organisation will need to upload a letter from the sponsor with details/documentary proof of the sponsorship. The course aims on preparing an applicant on the methods of recording, storing, and analyzing data to forecast various aspects. ‬ Inas had been actively involved in the organization team of several conferences and events as IEEE-Cairo International Biomedical Engineering conference CIBEC in Cairo in 2006 as a volunteer, while served as a publication chair in 2012 and 2014. PG Diploma in Machine Learning and AI The best selling program with a 4.5 star rating. Because the MSc in Data Science and Machine Learning is a self-funded programme (i.e. Candidates are required to produce originals of the submitted documents for the School’s verification        during enrolment upon successful admission. Entrepreneurship is a necessity in every institution regardless of size. Today, we face a massive explosion in the amount of data generated and retained by organisations, the government, and even individuals like you and me. Part-time students are expected to make their own arrangements to attend classes scheduled during the daytime. For enquiries, please email us at pgc@nus.edu.sg. You can expect to learn to design and steer the development of the IT landscape by setting operating and governance standards and promoting cross-functional unit collaboration across different stakeholders. Each application will be reviewed by the Admissions Committee. Harness the Potential of Big Data and Machine Learning. Learn from the best of academia and industry, 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 programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. are considered separate private arrangements between the applicants and their respective organisations or sponsors. The National University of Singapore Master of Science in Data Science and Machine Learning is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. Students are likely to take between 12 and 24 months to complete the programme on a full-time basis and 24 to 48 months on a part-time basis. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice. All fees quoted are exclusive of prevailing GST, unless otherwise stated. The maximum and minimum number of modules a candidate can take will be two (8 modular credits) and one (4 modular credits) module(s) respectively. Candidates with other qualifications and related work experience may also apply for the programme. To be awarded the graduate certificate, the candidate will need to complete at least three modules within the enrolled graduate certification programme. Apply now! Hence, applicants will only be able to select the “Self-finance” option in GDA2. The fee for each IS coded module is $5,400 and each CS coded module is $5,800. This programme helps you to acquire the fundamental competencies to effectively perform data analysis on business data. of Information System and Analytics, A copy of official transcript for bachelor’s degree. Machine learning is a method of data analysis that automates analytical model building. For details of the various schemes, please refer to: 2 Enhanced Training Support for SMEs (ETSS). Financial assistance provided by third parties (such as company sponsorships, external scholarships, education loans, funding by parents, etc.) The key is to effectively charter IT policy for business growth and expansion. It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Applied Probability, the School of Computing's Department of Computer Science, the Faculty of Engineering, and the Saw Swee Hock School of Public Health. • All fees quoted here are exclusive of prevailing GST, unless otherwise stated. This programme focuses on the computational fundamentals and principles that underlie intelligent robotics: perception, learning, planning, decision making, and importantly, system architecture. I look forward to seeing you in the programme. Overview Engineering The Process, Enhancing The System The core principle of Industrial and Systems Engineering (ISE) centers around solving real world problems and optimizing existing solutions via a systematic approach backed by data and experience. 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. To be awarded the graduate certificate, the candidate must complete the required number of modules (modular credits) listed in the respective graduate certificate module listing, and obtain at least a CAP of 2.5 for the following programmes: Complete three modules (12 modular credits): Complete four modules (16 modular credits): There are two application cycles in each Academic Year: ^Please refer to the University’s Academic Calendar for details on the semester and examination period. You'll graduate work-ready from a course that has been designed in collaboration with industry. 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. CS5421 Database Applications Design and Tuning. NUS MSc in Data Science and Machine Learning. All enrolled candidates will also be required to pay the Student Services Fee of $25.23 (inclusive of prevailing GST) per semester. For enquiries, please contact socgradc@comp.nus.edu.sg. Executive Education & Part-time Programmes, Graduate Certificate in Computing Foundations, Executive Education & Part-time Programmes, Graduate Certificate in Digital Business (DigiBiz), Graduate Certificate in Principles and Practice of Secure Systems (SecureSys), Graduate Certificate in Enterprise IT Innovation and Design (EI2D), Graduate Certificate in Big Data Management & Analytics (BigDMA), Graduate Certificate in Machine Learning and Applications (MLA), Graduate Certificate in Internet of Things (IoT), Enhanced Training Support for SMEs (ETSS), Dept. Mode of Learning includes both online and face-to-face lessons and may be modified from time to and. Designed in collaboration with a bachelor ’ s degree a key tool learn a combination of Science! From the sponsor with details/documentary proof of the various schemes, please to. 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