NUS MSc in Data Science and Machine Learning. This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. For enquiries, please email us at pgc@nus.edu.sg. Candidates with other qualifications and related work experience may also apply for the programme. 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. 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 University reserves the right to review and adjust the course fees and make changes to the programme structure and requirements as necessary and accordingly without prior notice. of Information Systems and Analytics, Dept. 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. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. This is achieved by integrating statistics, mathematics and … Use data as a compass to navigate the ups and downs of business, and make informed decisions using data as a key tool. The key is to effectively charter IT policy for business growth and expansion. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice. Develop the necessary theoretical and practical knowledge and techniques and gain the practical experience to impact organisations from day one. 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. Curriculum: machine learning, artificial intelligence, and data analytics. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. Apply now! Brief statement of objective/purpose for applying to this programme. CS5260 Neural Networks and Deep Learning II, CS5339 Theory and Algorithms for Machine Learning. It targets diploma graduates and those working in the industry who have had a couple of years of domain work experience and wish to acquire skills 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. Youth Undergraduate Graduate Executive & Professional Development . Students with computing background, who will learn the application of AI technologies to build practical robot systems in the physical world. A robust, interdisciplinary curriculum. Eligible Singapore Citizens and Singapore Permanent Residents enrolled may be given tuition fee subsidy by SkillsFuture Singapore (SSG). The Data Science MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. IS5451 Pervasive Technology Solutions and Development. 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. 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. The fee for each IS coded module is $5,400 and each CS coded module is $5,800. Key features. ‬ 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. Because the MSc in Data Science and Machine Learning is a self-funded programme (i.e. Executive Certification Programme in HR Analytics Admission Open. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. Application Period: 15 October 2020 - 31 January 2021. Choose any three of the following modules: IS5007 Strategising for Global IT-enabled Business Success, IS5151 Information Security Policy and Management. [Applicable to Modules that are IS-coded], Total Per Module Fee Payable, Including GST, Less Additional Funding if Eligible Under Various Schemes, Total Nett Per Module Fee Payable, Including GST, after additional funding from the various funding schemes, [Applicable to Modules that are CS-coded], Total Nett Nett Per Module Fee Payable, Including GST. 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. PG Diploma in Machine Learning and AI The best selling program with a 4.5 star rating. Tuition Fee Loan, Service Obligation Scheme, etc.). Diploma in Data Analytics Co-op. following restrictions: Develop your own Machine Learning and Deep Learning models to build value-driven business solutions. The curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. IT graduates and professionals who wish to advance their careers in their current field and recognise the need to equip themselves with the latest IT knowledge and skills to stay relevant may apply as well. Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission. This certificate provides a broad understanding of machine learning algorithms as well as the use of these algorithms to solve real world problems through practical application in business environments. The above are minimum requirements and do not guarantee admission. Executive Certification Programme in Marketing Analytics Admission Closed. Data Science and Analytics colleges in Canada offer students with an associate, certificate, degree, professional, and diploma programs. 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. The programme offers upgrading opportunities for industrial engineers and students who wish to equip themselves with data science and machine learning knowledge and data analytic skills. Her current research interests include Machine Learning, Medical Image analysis and visualization, Data Science and analytics. Data Analytics is the combination of Computer Science and Statistics. 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. Lectures for each module span over 13 weeks (one semester). 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