The NUS degree programme in Data Science and Analytics (DSA) equips students with analytical and communication skills to extract insights from data for business competitiveness. NUS DSA major here, DSAI wasn't out when I applied but I just read the curriculum, Simply, if you aren't computing-inclined and if you want more theory into stats with a sprinkle of CS modules so you can be hire-able(? (Hons.) I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. And for your second question, just check out the curriculum in NUS. a lot of it are hardcore math that’s why it is under statistics. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. Data scientists are constantly seeking patterns and predicting outcomes from these vast collections of data. It teaches the fundamental but the scope is very broad and the workload is very high. As a Business Analytics student, you will gain a solid foundation in the statistical and analytical methods that make up the backbone of data science. Many profs and students in NUS (even in SoC) don't know what faculty DSA is under. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. The age of the fourth industrial revolution has seen the explosion of data, with a mind-boggling 2.5 quintillion bytes of data created each day at our current pace. r/nus: The official NUS subreddit. Nah it’s not a stupid question because by looking at our curriculum, it certainly will confuse many people. 99% Upvoted. The idea was to create a simple, not very long guide that can set your path to learning data science. Data Science and Analytics Programme. The site may not work properly if you don't, If you do not update your browser, we suggest you visit, Press J to jump to the feed. For Cohort AY2020/21 and earlier: With the exception of Computational Biology, Data Science and Analytics, Environmental Studies and Pharmacy which are strictly four-year programmes, all majors allow students to graduate with a Bachelor’s degree. Do you know people who don't? Expect to put most of your time into programming as compared to other modules. 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. Hence, any seniors who chose nus dsa pls enlighten me on why you prefer that to ntu one :') This is achieved by integrating statistics, mathematics and … A lot of coding is needed in data analytics if you aim to go out to the industry but this is not really reflected in our curriculum because the main goal for NUS is to train more students to be researchers (to boost their ranking) hence more theory mods (Math/Stats). Both courses are quite similar in curriculum but I've seen many ppl prefer the ntu dsai for various reasons. Hi guys! © Esᴛᴀʙʟɪsʜᴇᴅ MMXVII, Press J to jump to the feed. ), NUS DSA, If you're more computing-inclined and don't mind a more rigorous curriculum based around computing (with less emphasis on stats), go for NTU DSAI. 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. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. Sharma, R., Mithas, S., and Kankanhalli, A. New comments cannot be posted and votes cannot be cast, Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing Singapore schools and examinations. Strong knowledge of data analytics foundations and fundamentals, including: familiarity with data analytics and programming principles, and; high and broad understanding of the application of analytics in various industrial domains. B.Sc. This course is aligned with the Infocomm Technology Skills Framework for Data Analyst and Data Scientist and will use R,a widely used statistical package. The Bachelor of Science (Business Analytics) degree programme is an inter-disciplinary undergraduate degree programme offered by the School of Computing with participation from the Business School, Faculty of Engineering, Faculty of Science, and Faculty of Arts and Social Sciences. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. An ability to function effectively in teams to accomplish a common goal. This subject guide covers resources available at the NUS Libraries. Press question mark to learn the rest of the keyboard shortcuts. ... Close • Posted by 10 minutes ago. The DSA programme’s unique combination of technical depth and domain-specific knowledge gives our graduates a competitive edge in the job market. Module 5: Distributed File Storage. Follow the learning path which introduces Data Science from a practitioner point of view, to courses that discuss topics such as data compilation, preparation and modeling throughout the life-cycle of data science from basic concepts and methodologies to advanced algorithms. The Data Science & Analytics (DSA) program and the Business Analytics (BZA) program both train students to have a career in Data Science / Data Analytics, but they have different focuses. You can change the names/values of your code or add some extra spaces/empty lines, the MOSS Detector will weed you out. in Biomedical Engineering from Johns Hopkins University, and his Ph.D. in Biostatistics from Harvard University under the A*STAR (Agency for Science, Technology and Research) National Science Scholarship. Module 6: NoSQL Databases for Big Data. 0 comments. it is very math based :) you can check the modules yah! What is this programme? The four-year direct Honours programme in Data Science and Analytics (DSA) is designed to prepare graduates who are ready to acquire, manage and explore data … Students in both the Department of Computer Science and the Department of Information Systems and Analytics who aim for Honours (Highest Distinction) must pass the CP4101 B.Comp. share. Both courses are quite similar in curriculum but I've seen many ppl prefer the ntu dsai for various reasons. NUS e-OPEN HOUSE 2020 . Do I need to get A for H2 Math to get into DSA? Start playing with Python yourself right now, it'll make your like easier when you do CS1010S Programming Methodology. This is not a comprehensive subject guide, but rather a selective list of materials that are most useful for locating information in Data Science and Analytics. It is the first course in a series of three courses for the Graduate Certificate in Customer Analytics. Expect a fair bit of coding but comparable to a typical stats student rather than a CS major. I'm considering between nus data science and analytics course and ntu dsai course. This capability based on data analytics is emerging as a critical factor to achieve competitive advantage. Dr. Amirhassan Monajemi . Keep your A-Level Further Math notes, those notes are helpful when you take MA1101R Linear Algebra. You have to fulfil another 6 lvl 3k-4k modules but you can choose all of it to be statistics or math mods. Log in or sign up to leave a comment log in sign up. Feel free to contact us for help on the following: NUS Libraries' services, resources and facilities; B.Sc. It's basically Matrices with some extra stuff. piggybacking: not sure if this is a stupid question but is there a lot of coding needed in data analytics? Why do you recommend people not to come nus dsa? IDS is a research institute that will be the focal point for all data science research and translation, education and related activities at NUS, which aims to contribute to Singapore’s Smart Nation initiative by developing deep and strategic capabilities in data science, analytics and optimisation, and cybersecurity. DSA1101 Introduction to Data Science is pretty easy, but for the stats portion of the module, also keep your A-Level Further Math notes. This guide would set a framework that can help you learn data science through this difficult and intimidating period. NUS Bulletin AY2020/21 Provost's Welcome Message Part I: General. It was a story about diapers and beer that sparked Mr Ken Wong's interest in data analytics, leading to a 19-year career as a data scientist.. Read more at straitstimes.com. If you have other questions, you can reply or pm me. you can pm me as well (: New comments cannot be posted and votes cannot be cast, Looks like you're using new Reddit on an old browser. best. Not a stupid question. save hide report. Degree Programme in Data Science and Analytics . This course is part of the Data Science and Graduate Certificate in Customer Analytics Practice Series offered by NUS-ISS. Why is it better to take Cs, math or stats instead? Sort by. Module 3: Architectural Viewpoints in Big Data. The Profs gave us a chance to confess and gave us 0 on our assignments, instead of a hearing from the university. Telling you to keep them because lecturers' notes are generally full of junk derivation and proofs/identities (I have the same opinion for other math modules as well). Module 4: The Hadoop Ecosystem for Big Data. ^ (1) As part of the Data Science and Analytics programme, FoS is planning to co-develop modules on data analytics for functional areas such as business, healthcare and public policy making with other Faculties/Schools. That is why I thought that I would create this guide, which could help people starting in Analytics or Data Science. You'll learn to work with spreadsheets, aggregate data, evaluate statistical significance, and determine statistical trends. Are there any seniors who could give advice on this major ?? Data Science and Analytics. Home / NUS Bulletin AY2020/21 / Faculty of Science / Undergraduate Education / Multidisciplinary Opportunities / Minor Programmes ... Statistics with specialisation in Finance and Business Statistics, or Data Science and Analytics, and second major in Data Analytics or Statistics. Hi guys! Dissertation. Are there any seniors who could give advice on this major ?? DATA SCIENCE AND ANALYTICS FAQs . You can stare at a question for 5 hours straight and not even solve it until you figured out a solution while you're showering in a cubicle. This course is part of the Data Science and Graduate Certificate in Advanced Predictive Modelling Techniques Series offered by NUS-ISS. Prof Sun Baoluo. “How Big Data and Analytics Reshape the Wearable Device Market: The Context of E-Health,” International Journal of Production Research. Prof Sun received his B.Sc. Hence, any seniors who chose nus dsa pls enlighten me on why you prefer that to ntu one :'). 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. it being under stats in nus makes me confused. Dr. Amirhassan Monajemi . The Data Analytics and Consulting Centre is a consulting unit closely linked with the DSA programme. ... help Reddit App Reddit coins Reddit premium Reddit gifts. (Hons) with Major in Data Science & Analytics (DSA) Data science is an inter-disciplinary field about processes and systems to extract knowledge or insights from data in various forms and makes use of techniques and theories drawn from the broad areas of computer science, mathematics and statistics. Other than that, the rest of the CS mods (CS2040 and CS3244) don't require THAT much coding and focuses more on your understanding of the theory and math. Older companies also will kiasu and try to use data science to revive themselves. This is a four-year direct honours programme which offers a common two-year broad-based inter-disciplinary curriculum where all students will read modules in Mathematics, Statistics, Economics, Accounting, Marketing, Dec… Can anyone share what’s the subject requirements for the two courses? Coding wise, the toughest challenge would be CS1010S in year 1. 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. My class alone had around 100 people flagged out of the total of 600. It delivers the most complete range of analytical solutions, using simple to advanced statistical techniques, predictive analytics and data mining technology to help organisations turn data into business insights.

On 21 March 2007, SUSS and SPSS signed an MOU to promote training and continuing education in Business Analytics. Addendum: Never plagiarise code. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. Module 1: Introduction to Data Science, Data Engineering and Big Data. tl:dr of data science: u taking massive amounts of data and one way or another, using proven calculations etc etc generate useful patterns, info that can lead to better decision making etc. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. 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. I'm considering between nus data science and analytics course and ntu dsai course. Our suite of data analytics courses cater to you wherever you are starting from and however in-depth you wish to develop your skills for the workplace. The Data Science and Analytics (DSA) programme is a multidisciplinary undergraduate degree offered by the Department of Not sure about NTU but I heard they have more emphasis on the CS side and having a smaller cohort (I think 20+ vs NUS's 180) helps them focus more on each student. hi data science y1-going-y2 senior here, what would you like to know about this course? 1. A lot of the basic stats stuff you learnt in A-Levels will be retaught. Thank you so much, this is extremely helpful!!! 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. Press question mark to learn the rest of the keyboard shortcuts. You will learn and u… Senior here, finished Year 1 and about to start Y2 in August. The course aims to quickly bring up to speed a programmer or business analyst whoalready knows how to programme in other language or have done advanced Excel macros to begin using R as a datascience tool. The IGP for NTU is also significantly higher. 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. 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