Key features. 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. This certificate brings you through the learning journey of championing and catalysing a digital business that spans across geographical and functional boundaries. Executive Certification Programme in HR Analytics Admission Open. To apply for admissions to the NUS MSc in Data Science and Machine Learning programme, applicants should possess a bachelor (Hons) degree or a 4-year bachelor’s degree in quantitative science (mathematics, applied mathematics, computational mathematics, statistics and physics) or engineering or computer science. 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. of Information Systems and Analytics, Dept. 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. 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. Post Graduate Certificate Programme in AI and Machine Learning with IIM Kashipur Learn More Home Courses. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. 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 with computing background, who will learn the application of AI technologies to build practical robot systems in the physical world. The Information Technology (IT) is ever changing and there is a constant need to upgrade one’s skillset. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. Data Analytics. Financial assistance provided by third parties (such as company sponsorships, external scholarships, education loans, funding by parents, etc.) Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission. This is even so for the IT professionals like you. International applicants must submit documentary evidence of their ability to support their study (e.g. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice. You'll graduate work-ready from a course that has been designed in collaboration with industry. Data is more … Click on the links below for more information: The Faculty of Science offers PhD programmes by research only, and there is no direct admission route into such programmes for MSc by coursework students. a bank statement) indicating the availability of funding of at least S$40,000 or its equivalent. Use data as a compass to navigate the ups and downs of business, and make informed decisions using data as a key tool. The NUS School of Computing has put together a great list of modules, which in combinations can lead to certifications. For enquiries, please contact socgradc@comp.nus.edu.sg. The key is to effectively charter IT policy for business growth and expansion. 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 curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. 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 . It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. 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. It offers the potential for huge societal and economic benefits. To apply, please submit your application via the online portal. A copy of identification document/ citizenship certificate/ passport/ documentary proof of permanent residence status as well as valid work pass. • All fees quoted here are exclusive of prevailing GST, unless otherwise stated. You'll learn a combination of mathematical, statistical and computing skills to address analytics and the problems they can solve. NUS MSc in Data Science and Machine Learning. Candidates with other qualifications and related work experience may also apply for the programme. Brief statement of objective/purpose for applying to this programme. The above are minimum requirements and do not guarantee admission. The fee for each IS-coded module is $5,400 and each CS-coded module is $5,800 (exclusive of prevailing GST). Tuition Fee Loan, Service Obligation Scheme, etc.). 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. 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 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. All supporting documents must be in English or with English translation. Graduate Certificate in Big Data Management & Analytics (BigDMA) Graduate Certificate in Machine Learning and Applications (MLA) Graduate Certificate in Internet of Things (IoT) Graduate Certificate in Robotics . 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. IS5451 Pervasive Technology Solutions and Development. Entrepreneurship is a necessity in every institution regardless of size. 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. 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. 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. Data Analytics is the combination of Computer Science and Statistics. 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. Data Science and Analytics colleges in Canada offer students with an associate, certificate, degree, professional, and diploma programs. The Diploma in Data Science and Analytics with a Specialization in Health Data Science & Biostatistics will provide the skills necessary to advance precision medicine and precision public health. Develop the necessary theoretical and practical knowledge and techniques and gain the practical experience to impact organisations from day one. *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. This programme helps you to acquire the fundamental competencies to effectively perform data analysis on business data. Application Period: 15 October 2020 - 31 January 2021. Develop your own Machine Learning and Deep Learning models to build value-driven business solutions. A robust, interdisciplinary curriculum. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. NUS Lifelong Learning FAQs . SSG will only fund a module once per eligible student. It is targeted for two groups of students: Students will need to complete four modules from the list: Theory and Algorithms for Machine Learning*; OR, Intelligent Robots: Algorithms and Systems. PG Diploma in Machine Learning and AI The best selling program with a 4.5 star rating. 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. Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. 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. Students who take elective modules only from the clusters are eligible to be awarded only the Master’s Degree. – CS3244 Machine Learning – DSA3101 Data Science in Practice – DSA3102 Essential Data Analytics Tools: Convex Optimisation – ST3131 Regression Analysis – DSA4199 Honours Project in Data Science or. Candidates are required to upload the following supporting documents when submitting their online application: 1. 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 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). All fees quoted are exclusive of prevailing GST, unless otherwise stated. DSA4299 Applied Project in Data Science – Six additional modules from List A and List B subject to the. Students with engineering background, who will learn AI technologies for intelligent robots. 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. 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. it is not subsidised by the Singapore Ministry of Education), applicants are not eligible to apply for financial assistance from NUS (e.g. Each application will be reviewed by the Admissions Committee. Opportunities also exist for further academic study towards a doctorate degree and a career in research. 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. For details of the various schemes, please refer to: 2 Enhanced Training Support for SMEs (ETSS). Post Diploma Certificate in Decision Analytics. Both full-time and part-time students will be reading a common set of modules. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. This Big Data Specialist Diploma program provides you with a practical understanding of big data analytics and emerging technologies like Machine Learning, Natural Language Processing, IoT and Data Visualization. following restrictions: 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. 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. 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. 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). Any other supporting documents such as CV or professional certificates. Each candidate may enrol for one certification programme at any one time. 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 achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. Youth Undergraduate Graduate Executive & Professional Development . The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. are considered separate private arrangements between the applicants and their respective organisations or sponsors. For the list modules that are offered for the above Graduate Certificate programmes in the coming semester, please refer to Annex (SoC GC). CS5260 Neural Networks and Deep Learning II, CS5339 Theory and Algorithms for Machine Learning. Hence, applicants will only be able to select the “Self-finance” option in GDA2. [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. 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. 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. 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. CS5421 Database Applications Design and Tuning. • Admissions to the programme is granted on a competitive basis as places in the programme are limited. For enquiries, please email us at pgc@nus.edu.sg. This certificate aims to provide students with skills to address a broad range of issues in Internet-of-Things (IoT) systems from embedded software design, wireless networking to applications of pervasive technology. In this age of “big data”, the ability to analyse and process data has become a critical skill set – data scientists make sense out of all this data and use it to make good business decisions. Harness the Potential of Big Data and Machine Learning. 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 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. In support of Singapore’s drive towards lifelong learning and NUS’ Continuing and Professional Education (CPE) initiative, the Faculty has set out new Graduate Certificate programmes. In this module (4 MCs), students will get a chance to apply their DSML skills and knowledge to address real-world problems, while collaborating with industry experts and sector leaders. Students who receive sponsorship from their companies may also elect to work with their own respective organisations for the module, subject to the Programme Management Committee’s approval. The course aims on preparing an applicant on the methods of recording, storing, and analyzing data to forecast various aspects. • Apart from tuition fees, there is a Student Services Fee (as published by NUS Registrar’s Office) payable every regular semester. This one-year Co-op diploma in Data Analytics will position you at the forefront of a competitive job market, in which you will develop highly sought-after and employable skills and knowledge to thrive in a data-driven world. All candidates will be admitted to the graduate certificate programme on a part-time basis. 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