The Master of Science in Business Analytics (MSBA) can be taken either as a 1-year (13-month) intensive full-time programme or a 2-year part-time programme. Data science is widely expected to play an increasingly important role in commerce. %PDF-1.6 %���� This course introduces basic Python programming and community best practices such as using Jupyter/Python. 9�\dV�*`:Đ�P�;��A�^�s}�ӗ>������������Q��9������h�4�- � Program Overview. Increasingly, students pursuing a research-oriented career (whether in industry or academe) and/or wanting to advance quickly in their chosen career, elect to enrol in a Doctoral programme. NUS Computing, School of Computing, National University of Singapore, NUS, ... Master's in Computer Science; Master of Computing - Computer Science Specialisation The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. In this program, students learn through a balance of intellectual academic rigor and hands-on application. NUS offers a wide range of graduate programmes that are characterised by intellectual rigour and cutting-edge scholarship. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. endstream endobj 335 0 obj <>/Metadata 34 0 R/OCProperties<>/OCGs[342 0 R]>>/Outlines 55 0 R/PageLayout/SinglePage/Pages 332 0 R/StructTreeRoot 74 0 R/Type/Catalog>> endobj 336 0 obj <>/Font<>/Properties<>>>/Rotate 0/StructParents 0/Tabs/S/Trans 349 0 R/Type/Page>> endobj 337 0 obj <>stream %%EOF Master in Business Analytics - This course in Business Analytics is jointly offered by the School of Computing and the National University of Singapore Business School. The course then moves on to show how Python can be applied to data m… Be an entrepreneur, artist, scientist, designer, business executive. It also combines data analytics with machine learning. ST5202 Applied Regression Analysis 2. Obtain a minimum Cumulative Average Point (CAP) of 3.00 A candidate who has an Honours degree in Statistics or Mathematics might be exempted from reading one or more compulsory modules upon the approval … 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. Course Objectives. In addition to learning knowledge in data science, students will also have opportunities to explore the integration of machine learning and data analysis in sectors such as financial industry, healthcare and government. Spatial Reasoning from Sensor Data (TGS-2020001513) Duration: 3 days 0 This course is the sequel to Data Analytics Begins with Me. INTAKE & APPLICATION PERIOD Next Intake: August 2021 Internationals Singapore Citizens and Singapore Permanent Residents Online Application Opens 1 November 2020 Online Application Closes 28 February 2021 31 March 2021 For more information about the admissions criteria, … The programme also provides advanced and in-depth knowledge of IT to … This course aims to quickly bring up to speed a programmer or business analyst who already knows how to programme in Python to begin using Python as a data science tool. NUS Graduate School for Integrative Sciences & Engineering, Pre-University Students from Local Institutions, Non-Graduating Programme Application and Eligiblity, Responsibility for Notices/Circulars and Updates of Personal Particulars, Notes on Leave Matters for Research Scholars (RS), Open Researcher and Contributor ID (ORCID), Social Visit Pass for Spouse and Child of Full-Time Graduate Research Students, Important Information to Note Upon Cessation of Studies at NUS, Satisfactory / Unsatisfactory (S/U) Option. IDS coordinates and supports data science research initiatives across NUS.The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem well-roundedly from an all angles. With Singapore’s move into Phase 2: Safe Transition, NUS-ISS has gradually resumed face to face learning. Data Analytics Consulting Centre Block S16, Level 7 6 Science Drive 2 Faculty of Science National University of Singapore Singapore 117546 dacc@nus.edu.sg Business Hours Monday to Thursday: 8.30 am – 6.00 pm Friday: 8.30 am – 5.30 pm :VS�O��Q�i�1���Kq)n��_/���^]���"�sWkW��#{�}�QD)�r�4E߮J ��No~@���z��6[W���a�za�L5�C>��lQ-�]�{c��1�=6u�kU�~+6�Or�&e�����Ѣ���i��]�ȶt��')����"�F���ڋ���ceF��$� 6c� ��m���)�$zC��eq����׵A�v���B�q�=�����!~��sr�9��~��vc��?�B�N2��*�lU�m�o��ߒj�d���Ժp�����A��j��U� f�U� Read and pass eightST level 5000 modules or higher amounting to 32 MCs 3. The Master of Science (Management of Technology) ... Patent Data Analytics for Innovation Management. ISS offers masters of technology and graduate diploma programmes which focus on the practical aspects of information technology (IT) and data science endstream endobj startxref Please reach out here to find out more about courses that are conducted face to face. The NUS Master of Science in Business Analytics (NUS MSBA) program is jointly offered and designed by two globally ranked schools, NUS Business School and NUS Computing. With Computing, you can transform an idea into something real, and share it with millions of people around the world. 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 the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Computing exists anywhere and in any field. This will dive into the use of powerful open source analytics tools such as R and Python, required and best practices in the set-up of a data analytics infrastructure, hiring and building a data science team, including the set-up of a Centre of Excellence for Analytics and data analytics project scoping. "'�"`�@-�K�:3� �G�c�zx�#�� 7j�O2UL�]�VsT�Ro�uh�_�#����CW�*�ߪl�9%7U�Q%�K�zqJf�Cx6�#y\��$��� �V���7ɝr��-�ڶ�cb��$����z�W*��$�Q.���C�G����(���6�����d��Й���K�j@p2��˲���,�e�����! All enquiries should be directed to the respective Graduate Divisions of each Faculty/School/Institute conducting the programmes. hޤSmk�0�+��ql~���Aӷ ֵ,��`�/��f�Sw��~��f/Ǹk��Gz�Z ST5201 Basic Statistical Theory 1.2. On a daily basis, large data sets are routinely generated by activities in the sciences, administration, leisure and commerce. The sky's the limit. “You name any business sector, the role of data science is there,” said NUS … The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. Our stackable modules give learners the ability to choose the exact set of skills they want to master. There is only one intake (August intake) per year. Dr. Amirhassan Monajemi . NUS Master of Science (MSc) in Venture Creation Application is now open for the next intake for August 2021! w�� This module will equip the project team members with fund raising know-how and skills. Critical Data Verification; Examination; Satisfactory / Unsatisfactory (S ... 4.2.2 Master of Science in Business Analytics Home / NUS Bulletin AY2020/21 / School of Computing / Graduate Education / Coursework Programmes / Master of Science in Business Analytics / / / / / Please refer to Section S of Part II of this bulletin for details. Amirhassan Monajemi is a Senior Lecturer in AI and Data Science with the School of Continuing and Lifelong Education (SCALE) at the National University of Singapore (NUS).Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. The programme comprises 8 modules to be completed in two regular semesters alongside a one-year (13-month) capstone professional consulting project. Track 1 Students have to fulfil the following conditions: 1. The MSc in Data Science and Machine Learning programme is offered jointly by the Department of Mathematics, the Department of Statistics and Applied Probability and the Department of Computer Science with support from the Faculty of Engineering, … Prospective graduate students should consider carefully which type of graduate programme most suits their interests and career aspirations. For Master of Science (Data Science and Machine Learning) and Master of Science (Quantitative Finance), application is open from 15 October of the previous year to 31 January. They are designed to nurture a passion for inquiry and to provide you with the tools to tackle intellectual challenges with confidence and creativity. Data science is an emerging field of study that involves statistical and computational principles, methods and systems for extracting and structuring knowledge from data. The Master of Computing programme is a comprehensive and challenging graduate programme with area specialisations. This module focuses on venture fund raising to support NUS technology teams that are raising money. science, mathematics and statistics. 350 0 obj <>stream NUS graduate programmes cater to a variety of interests, namely: These programmes offer excellent opportunities for students to further develop their potential as intellectual leaders for a wide range of career paths. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Faculties/Schools/Institutes that offer graduate programmes: The full list of NUS graduate programmes and the individual programme websites are available here. � 5�d-s!�����^����2�A�@��iy��k`��������6aDc"@� s�&� The NUS Business Analytics Centre (BAC) was established in 2013, in collaboration with IBM, to develop the skills and knowledge of professionals in business analytics. They are designed to nurture a passion for inquiry and to provide you with the tools to tackle intellectual challenges with confidence and creativity. 334 0 obj <> endobj NUS-ISS’s interest for the health and safety of our participants, students and staff have always been a priority. The corresponding maximum candidature periods are 2-years and 4-years respectively. Read and pass the following two essential modules amounting to 8 MCs: 1.1. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. It encompasses latest research findings, both applied and fundamental. H��WKo#E�ϯ������i��&A(q���rǐ�Y������{. endstream endobj 338 0 obj <>stream NUS offers a wide range of graduate programmes that are characterised by intellectual rigour and cutting-edge scholarship. Introduction. h�b```f``Z�����v�A���2�, "�� 341 0 obj <>/Filter/FlateDecode/ID[<2E69EE552C640C45B2FA9517F4078239>]/Index[334 17]/Info 333 0 R/Length 56/Prev 430592/Root 335 0 R/Size 351/Type/XRef/W[1 2 1]>>stream 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. On Campus Online To address the spectrum of issues in data analytics, this curriculum has been designed to include core courses in statistical topics as well as areas for advanced applications of data analytics in unique fields. NUS MSBA Application Checklist - AY2021/2022 Program Description. In a 5-year partnership that ensued, with IBM contributing industrial knowledge and NUS offering academic expertise, BAC offered and hosted the NUS Master of Science in Business Analytics (MSBA) programme. h�bbd``b`:$�M ��H��I��O���Y��� ? New libraries for data manipulation, visualisation and data modeling have made Python an increasingly exciting alternative to R as a data science language. Master of Science in Data Science. 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.

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