IIM ROHTAK Executive Certification Programme in Data Analytics Admission Open. 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. Post Graduate Certificate Programme in AI and Machine Learning with IIM Kashipur Learn More Home Courses. The course aims on preparing an applicant on the methods of recording, storing, and analyzing data to forecast various aspects. Curriculum: machine learning, artificial intelligence, and data analytics. 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. Youth Undergraduate Graduate Executive & Professional Development . It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. 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. 2. 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. Projects will be solicited from the industry by the Programme Management Committee, and allocated to students based on choice, balloting, and/or suitability. All candidates will be admitted to the graduate certificate programme on a part-time basis. I look forward to seeing you in the programme. Apply now! This is even so for the IT professionals like you. Part-time students are expected to make their own arrangements to attend classes scheduled during the daytime. NUS Lifelong Learning FAQs . 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 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. This is achieved by integrating statistics, mathematics and … 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. 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. International applicants must submit documentary evidence of their ability to support their study (e.g. CS5260 Neural Networks and Deep Learning II, CS5339 Theory and Algorithms for Machine Learning. Admission Requirements. 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. 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. The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. 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. All enrolled candidates will also be required to pay the Student Services Fee of $25.23 (inclusive of prevailing GST) per semester. 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. A robust, interdisciplinary curriculum. 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. 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. 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. 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. Machine learning is a method of data analysis that automates analytical model building. 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. Data Analytics is the combination of Computer Science and Statistics. 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. 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 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. 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. This is achieved by integrating statistics, mathematics and computing, as well as machine learning and AI. 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). For the schedule of classes, please refer to: SoC Course Schedule. Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission. The Data Science MSc was created in collaboration with a number of high profile industry leaders to address the skills shortage in data analytics. The programme is open to those with a bachelor’s degree in computing or related discipline. following restrictions: Lectures for each module span over 13 weeks (one semester). 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. Data Science and Analytics programs are related to the STEM disciplines. • Admissions to the programme is granted on a competitive basis as places in the programme are limited. The key is to effectively charter IT policy for business growth and expansion. Brief statement of objective/purpose for applying to this programme. Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning, work on 12+ industry projects & multiple programming tools. Data Analytics. 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. Candidates may choose to enrol in any one of the below certification programmes. Entrepreneurship is a necessity in every institution regardless of size. Executive Certification Programme in Marketing Analytics Admission Closed. The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. Only modules taken on graded-basis are eligible for SSG funding. *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. (exclusive of prevailing GST). The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. Data Science is revolutionising every area of science, engineering and commerce. Executive Certification Programme in HR Analytics Admission Open. You'll learn a combination of mathematical, statistical and computing skills to address analytics and the problems they can solve. [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. of Information Systems and Analytics, Dept. 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. 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. 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