Any other supporting documents such as CV or professional certificates. The Information Technology (IT) is ever changing and there is a constant need to upgrade one’s skillset. For enquiries, please contact socgradc@comp.nus.edu.sg. Choose any three of the following modules: IS5007 Strategising for Global IT-enabled Business Success, IS5151 Information Security Policy and Management. Diploma in Data Analytics Co-op. You'll learn a combination of mathematical, statistical and computing skills to address analytics and the problems they can solve. Post Diploma Certificate in Decision Analytics. Data Science and Analytics colleges in Canada offer students with an associate, certificate, degree, professional, and diploma programs. This is achieved by integrating statistics, mathematics and … ISE undergraduates are trained to undergo and utilize rigorous research and data analysis to come up with innovative and efficient […] PG Diploma in Machine Learning and AI The best selling program with a 4.5 star rating. 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. of Information System and Analytics, A copy of official transcript for bachelor’s degree. A copy of identification document/ citizenship certificate/ passport/ documentary proof of permanent residence status as well as valid work pass. Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Full-time students may take a higher workload than part-time students, but both full-time and part-time students are expected to attend the same classes. are considered separate private arrangements between the applicants and their respective organisations or sponsors. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. This programme helps you to acquire the fundamental competencies to effectively perform data analysis on business data. Post Graduate Certificate Programme in AI and Machine Learning with IIM Kashipur Learn More Home Courses. Students who take elective modules only from the clusters are eligible to be awarded only the Master’s Degree. This is even so for the IT professionals like you. 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. Harness the Potential of Big Data and Machine Learning. IIM ROHTAK Executive Certification Programme in Data Analytics Admission Open. Python is a complete open source language and platform that can be used for both research and development and developing production systems. 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. *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. For the schedule of classes, please refer to: SoC Course Schedule. 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. For enquiries, please email us at pgc@nus.edu.sg. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. The programme is open to those with a bachelor’s degree in computing or related discipline. The fee for each IS coded module is $5,400 and each CS coded module is $5,800. In the event that a student wishes to retake a module, the student will not be eligible for SSG funding for that module. I look forward to seeing you in the programme. 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. Machine Learning using Python; Python for Data Analytics and Visualisation; Big Data Analytics using Spark and Databricks; Metis Data Science Bootcamp @ Kaplan; Microsoft Azure Machine Learning Workshop; Certified Blockchain Professional; Cloud Computing using Amazon Web Services and DevOps; Computer Vision using OpenCV and Tensorflow 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. 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. a bank statement) indicating the availability of funding of at least S$40,000 or its equivalent. 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. 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. 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. 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. Candidates are required to upload the following supporting documents when submitting their online application: 1. Students with engineering background, who will learn AI technologies for intelligent robots. Financial assistance provided by third parties (such as company sponsorships, external scholarships, education loans, funding by parents, etc.) 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. Machine learning is a method of data analysis that automates analytical model building. 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. Part-time students are expected to make their own arrangements to attend classes scheduled during the daytime. NUS Lifelong Learning FAQs . The above are minimum requirements and do not guarantee admission. it is not subsidised by the Singapore Ministry of Education), applicants are not eligible to apply for financial assistance from NUS (e.g. Executive Certification Programme in Marketing Analytics Admission Closed. 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). 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. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. • Apart from tuition fees, there is a Student Services Fee (as published by NUS Registrar’s Office) payable every regular semester. Tuition Fee Loan, Service Obligation Scheme, etc.). Candidates may choose to enrol in any one of the below certification programmes. … Opportunities also exist for further academic study towards a doctorate degree and a career in research. 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. 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. Executive Certification Programme in HR Analytics Admission Open. Entrepreneurship is a necessity in every institution regardless of size. 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. 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). Her current research interests include Machine Learning, Medical Image analysis and visualization, Data Science and 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 programme focuses on the computational fundamentals and principles that underlie intelligent robotics: perception, learning, planning, decision making, and importantly, system architecture. Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission. 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. The Data Science MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. All candidates will be admitted to the graduate certificate programme on a part-time basis. Projects will be solicited from the industry by the Programme Management Committee, and allocated to students based on choice, balloting, and/or suitability. Admission Requirements. Lectures for each module span over 13 weeks (one semester). CS5421 Database Applications Design and Tuning. To apply, please submit your application via the online portal. Because the MSc in Data Science and Machine Learning is a self-funded programme (i.e. (exclusive of prevailing GST). DSA4299 Applied Project in Data Science – Six additional modules from List A and List B subject to the. 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. 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. 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 . IS5451 Pervasive Technology Solutions and Development. Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning, work on 12+ industry projects & multiple programming tools. SSG will only fund a module once per eligible student. Join SMU’s Advanced Diploma in Data Analytics and Machine Learning to understand the relationships within big data and develop intelligent applications to gain competitive edge within your industry. 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. Each application will be reviewed by the Admissions Committee. Includes a final project. 2. In the media: The Straits Times, 5 January 2020, Next Admissions Intake: August 2021 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. NUS MSc in Data Science and Machine Learning. The NUS School of Computing has put together a great list of modules, which in combinations can lead to certifications. Use data as a compass to navigate the ups and downs of business, and make informed decisions using data as a key tool. 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. For the list modules that are offered for the above Graduate Certificate programmes in the coming semester, please refer to Annex (SoC GC). A robust, interdisciplinary curriculum. Youth Undergraduate Graduate Executive & Professional Development . 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. Data Science and Analytics programs are related to the STEM disciplines. MSc in Pharmaceutical Science & Technology, SGUS: Construction / Facilities Management. 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. There will be a wide variety of real-world DSML projects from local and international enterprises. 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. following restrictions: 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. 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. 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. The mode of learning includes both online and face-to-face lessons and may be modified from time to time and announced to students. Since these arrangements do not involve NUS, applicants who are financing their studies with assistance from third parties are still required to select the ‘Self-finance’ option, before uploading the necessary supporting documents. Statistics in Business: Course dates to be advised Business Predictions: Course dates to be advised *Note: Students need to attend both sessions 1 and 2 to be assessed as having completed the modules. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. Only modules taken on graded-basis are eligible for SSG funding. Data is more … [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. All enrolled candidates will also be required to pay the Student Services Fee of $25.23 (inclusive of prevailing GST) per semester. All enrolled candidates will also be required to pay the Student Services Fee of $25.23 (inclusive of prevailing GST) per semester. Candidates are required to produce originals of the submitted documents for the School’s verification        during enrolment upon successful admission. Data Analytics. 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 (exclusive of prevailing GST). The Specialist Diploma in Business & Big Data Analytics, jointly offered by School of Information Technology and School of Engineering, is targeted at Business Intelligence (BI) practitioners and IT professionals who wish to . To be awarded the graduate certificate, the candidate will need to complete at least three modules within the enrolled graduate certification programme. The Graduate Diploma of Data Science covers core units in data analysis, data wrangling and data modelling, combining this study with electives following big data and machine learning streams. of Information Systems and Analytics, Dept. 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. • All fees quoted here are exclusive of prevailing GST, unless otherwise stated. Students with computing background, who will learn the application of AI technologies to build practical robot systems in the physical world. 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 programme is open to those with a bachelor’s degree in computing or related discipline. Post Graduate Diploma in Sports Management Coming Soon. 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. CS5260 Neural Networks and Deep Learning II, CS5339 Theory and Algorithms for Machine Learning. 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. Specially curated programmes for youths to find out about impact – the impact they want to make for their future – and to make better decisions. Eligible Singapore Citizens and Singapore Permanent Residents enrolled may be given tuition fee subsidy by SkillsFuture Singapore (SSG). Application Period: 15 October 2020 - 31 January 2021. Data Analytics is the combination of Computer Science and Statistics. 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. • Admissions to the programme is granted on a competitive basis as places in the programme are limited. – 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. Both full-time and part-time students will be reading a common set of modules. The course aims on preparing an applicant on the methods of recording, storing, and analyzing data to forecast various aspects. Brief statement of objective/purpose for applying to this programme. Apply now! 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. Each candidate may enrol for one certification programme at any one time. It offers the potential for huge societal and economic benefits. It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. The specific objectives of the SGUS Specialist Diploma in Data Science and Analytics are to provide training in the fundamentals of statistics and programming for data science, as well as in specialised skills in the areas of data mining, applied statistical methods, statistical modelling and prediction. Develop your own Machine Learning and Deep Learning models to build value-driven business solutions. Develop the necessary theoretical and practical knowledge and techniques and gain the practical experience to impact organisations from day one. 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. 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. 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. All supporting documents must be in English or with English translation. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention Many industries working with large amounts of data have recognised the value of machine learning technology. The University reserves all rights to review fees as necessary and adjust accordingly without prior notice. 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 programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. 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 . Data Science is revolutionising every area of science, engineering and commerce. Candidates with other qualifications and related work experience may also apply for the programme. You'll graduate work-ready from a course that has been designed in collaboration with industry. All fees quoted are exclusive of prevailing GST, unless otherwise stated. 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. Students who are interested to pursue a PhD upon completion of the MSc in Data Science and Machine Learning programme should apply separately for admission into the PhD programme of their choice. Curriculum: machine learning, artificial intelligence, and data analytics. The key is to effectively charter IT policy for business growth and expansion. 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. The curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning. For details of the various schemes, please refer to: 2 Enhanced Training Support for SMEs (ETSS). 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 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. ‬ 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. This certificate brings you through the learning journey of championing and catalysing a digital business that spans across geographical and functional boundaries. 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. 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. International applicants must submit documentary evidence of their ability to support their study (e.g. Full-time students may read up to five modules per regular semester, while part-time students may read only up to two modules per regular semester. 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. 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. 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