Now it's fallen a bit. It looks simple but deep mining involves those with poor correlation and this is where AI / machine learning comes in. Here is an example of a software that most of us are beneficiary of and it is built by data scientist. That is the bar to entry for the field. 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 Home / NUS Bulletin AY2020/21 / School of Continuing and Lifelong Education ... 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. The programme is conducted jointly by the Faculty of Science, NUS Business School and School of Computing. Data science /r/stat... • Posted by. But if you have millions of data, that will take a long time. You can use your program electives to focus on the data management and/or parallel and distributed systems area (which are mainly the CS electives under the DSA program). Our stackable modules give learners the ability to choose the exact set of skills they want to master. I'm trying to choose between courses, but don't really understand what goes into Data Science. by the time you grad, there will probably be an oversupply of such candidates. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. Most companies don't even have data that is clean enough for advanced analysis. To be honest, you don't need to have super good mathematical knowledge but you'll need to know some basic statistics to intepret the data (e.g. Correct me if I'm wrong). Report Save. NUS will become the first university in Asia to adopt Microsoft’s data science curriculum, and leverage these assets to train and develop talents in data analytics and data science. Its quite heavily maths based so you will need a strong interest in maths or be really good at it. They have a legion of data scientists that work out the price point where they can achieve the highest margin with the lowest volume of iPhone manufactured. Initially I was excited about this course as I thought the data science field is flourishing and there is nascent demand for data scientists in the industry. Yeo Boon Thye Thomas Faculty of Engineering. Furthermore, depending on your interests, this course does not focus on the 'interesting cutting edge' topics in Machine Learning, like computer vision and natural language processing. Hot. 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). With this PhD program, IDS aims to educate the next generation of "brain-heavy" data scientists. Their data scientists also track usage from features to iTunes. Data analysts play the increasingly important role of making sense of all that data. You can choose to shore up your statistics with a minor or 2nd major in Statistics. But there’s one indisputable fact – both industries are undergoing skyrocket growth. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. Environmental Studies, Pharmacy, Computational Biology, Data Science and Analytics, and Pharmaceutical Science are strict four-year programmes, while all other programmes allow for graduation after three years with a general Bachelor of Science degree. I’m a software engineer at Amazon now and it is amazing to see how machine learning is playing a part in almost everything we do. In most cases data science is much more than data analytics. Rising. Im in poly and I'm doing a data science related project. He has organised / co-organised programming workshops and data hackathon for students. In the Credit Space, you again run models, that will target good customers and offer credit lines, segment delinquent customers and non-performing loans and tailor remediation plans. So then machine learning also comes in. which model/algorithm) to solve the problem on hand, not so much math as per typical statistics examinations, New comments cannot be posted and votes cannot be cast. They pull as much of data both structured and unstructured and they identify the data attributes and see if there is a level of correlation to what they are aiming for. Almost every bank and tech is hiring DS employees, salaries for fresh grads going for 4k to 6k with internship experience. 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. Both teach data analytics techniques and algorithms, but DSA train students to go into more fundamental statistics and math, while BSA train students to be more practical and able to implement and apply analytics in a business setting. 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. It's a pretty new course so nobody knows exactly what the prospects are like. IDS coordinates and supports data science research initiatives across NUS. I got offered this new course by NUS. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. 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. You're better of studying Computer Science with a minor in Statistics, and finding a job in the data science field. “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. Data science is not all about making fancy models and sit back relax. Using customer demographics, spending patterns, merchant acceptance practices, it can predict fraudulent transactions and generates alerts. Add/Swap Tutorials/Labs will start on 16 January 2021 at 9.00am.. Students without tutorial class can use this function to add tutorial class as long as there are still vacancies. Some people prefer frequent flyer points, others cashbacks and some discounts at F&B outlets. Say for example I am an online retailer of clothes and I have the demographic attributes of my customer when they signed up such as age, post code, educational level etc. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. Looks like you're using new Reddit on an old browser. Bachelor of Science in Data Science and Artificial Intelligence (New programme from AY18/19 onward) NTU_PageContent This is a full time four-year direct honours BSc degree programme jointly offered by SCSE and SPMS for students who aspire to master the demands of integrating the synergistic disciplines of computer science and statistics. u/vincentg64. On-campus or Online (Live) Dr. Amirhassan Monajemi . Press question mark to learn the rest of the keyboard shortcuts. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. 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. New comments cannot be posted and votes cannot be cast, Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing Singapore schools and examinations. 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. 4 years ago, Chem engineers command 4 to 5k with 6 months bonus. And they are king of unstructured data. r/DataScienceMemes: Memes of Data Science and Machine Learning. Related to data science, analytics, Hadoop, big data, machine learning, data mining, predictive modeling, operations research, decision science, and similar topics and disciplines. Hence there is an increasing demand from the industry for persons with a high level of quantitative and analytical skills. Restricted. I run the data involving many customers, for some reason the data indicates that those with post code XXXX are likely to buy a scarf from Burberry (high correlation) then automatically I will flash a message offering burberry scarfs at check-out. © Esᴛᴀʙʟɪsʜᴇᴅ MMXVII, Press J to jump to the feed. Associate Professor, Centre for Quantitative Medicine and Programme in Health Services and Systems Research. Chi … This is achieved by integrating statistics, mathematics and … It might be a good choice for you if you are interested in 'Artificial Intelligence'. Btw Osama bin Laden was found with software provided by California firm and they are deep into data science. level 2. Looking at the modules, it seems like BA has more practical modules? Good data scientists code a lot though. 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). 4. By now you must have realised that they have little interest in market share compared to margins. View All Moderators. 9.8k. Those running market risk will not run customer and product analytics. User account menu. This, coupled with the fact that machine learning-based analytics seems to be having a great future (it's part of a scifi future that people have been dreaming/fearing about), I believe the career prospects are very good for data science graduates. Still not sure. With data science, you can switch to any part of business from running a P&L, Operations to Finance. 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. Hmm alright, it seems like CS would be the safer choice as I'd be able to take modules in other focus areas if I have a change in interest. As far as I'm concerned I don't think an undergraduate degree is sufficient to prepare you for data science per se unless it's just Tableau/SQL/run a pretrained neural net on mnist. Here is a simplified framework of their work. A good example is some telcos or credit card companies don't enter the full person details in, cos the frontline sales is paid by comission and not data completness. Crossposted by 1 day ago. when you start moving with the crowd, that’s when demand for candidate has peaked and supply is lagging but will eventually catch up. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. This subject guide covers resources available at the NUS Libraries. Building your data analytics/science and engineering team ; Pre-requisites. 11. A lot of work goes into preparing and reshaping the data. As an illustration, the three areas under BZA are analytical methods, implementation, and business applications. These are the people that built Google and now they are in in nearly all big MNCs and Banks. In the current structure, there are only 3 compulsory Computer Science modules - Introduction to Programming, Data Structures and Algorthims, and Machine Learning. Take it as you will. Online. Looking at kaggle, they tend to use R or Python which is way more flexible and powerful than stuff like SAS. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Things like database systems design and software engineering are of utmost importance. 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. Programme Structure and Curriculum Rationale . Let me take the financial sector as an example. Prospective student here unsure of which course to pursue. Personally, I feel that there are many fields in Computer Science that should be in every Data Scientist's toolkit/knowledge base. Today, the current market size for business analytics is $67 Billion and for data science, $38 billion. IMO this field is either u love it till u die or it will kill u just cos many ppl will lose interest quickly. Data science is just research based on data. DAs see the trees, solve for acute problems, while the DS can envision the forest, build models, and test hypotheses. Hot New Top Rising. Feel free to contact us for help on the following: NUS … One thing to note is that you will probably need to pursue a graduate degree for jobs in this field. Older companies also will kiasu and try to use data science to revive themselves. Posted by 4 years ago. It is a new degree programme jointly offered by the Department of Mathematics and the Department of Statistics and Applied Probability from the Faculty of Science, in collaboration with School of Computing. now, banks are not doing well and all the business grads are looking back wondering if they would have made the smarter choice in comp sci or something... On one hand, we've seen this pattern before, as you pointed out. Not sure if I should accept and hence I'm here to seek opinions. This course seems like a jack of all trades course with no depth in any area which is probably not what you want. A quick browse through the course, think of it as a mix of math and computer science, and sprinkle in some biz applications. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. My take is that it's a medium technical degree with a biz focus, and Singapore is a biz focused country. Log In Sign Up. Message the mods. Its the fastest growing vocation in the World and in the past it has had a high barrier of entry because one had to take maths / statistics and then additional courses outside Universities such as those run by SAS, but now as an established profession entry level grads with numeracy skills are taken on board as analyst and given specialised training to prepare them as data scientists. This is so I can make a more informed decision. If you pursue a data science degree and make sure you pick up some software development skills along the way your skill set will likely be in very high demand. MAS last year hired a UK Data Scientist who has set up the Department. … Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. Join . what distribution) and apply the right techniques (e.g. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. 6 6. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. By using our Services or clicking I agree, you agree to our use of cookies. None. The four-year direct Honours programme is designed to prepare graduates who are ready to acquire, manage and explore data that will inspire change around the world. 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. 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. Mode of Training . However, it can be confusing to differentiate between data analytics and data science. Press question mark to learn the rest of the keyboard shortcuts. Both DSA and BZA offers the co-op programs. EduRec > Academics > Academic Records > View Classes. 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… Close. 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. To OP, I would probably just do a CS degree with a stats minor. These modules will be coded as DSA modules and added to List I. Career prospects wise, right now it's highly in demand. about careers press … It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. Who Should Attend. You get better training in algorithms, computer systems, and software engineering compared to DSA and BZA. 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. In the Compliance area you will run models that identify money laundering and sanction busting activities. I have researched alot about the topic. help Reddit App Reddit coins Reddit premium Reddit gifts. In investment banking you will runs models that determine market risk, settlement risk in forex and derivatives trade. Thanks! I've recently been doing research on the state of the data science/ML hiring market, trying to answer the question of how in-demand different roles really are. CS is a more general and flexible degree. Microsoft will also provide internship opportunities for NUS undergraduate and graduate students. Taking one of these fashionable sounding degrees may end up pigeonholing you but that's just my 2 cents. Like example data on no of trees and the types you can read and see what it means. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. Data Science & Analytics. In the product and Marketing space, you will run models that will segment customers according to demographics, track their spending patterns, make targeted offers etc. Members. Welcome to /r/singapore the reddit home of the country Singapore. Created Oct 4, 2014. 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. Do stats and AI courses on the side if you are mathematically inclined, and pursue grad school if you really want. He is a data scientist before the name became fashionable and he continues to run his business with data science heavily in the background. 4 years from now, I can't tell you what it's gonna be like though. The value of the solutions that IDS can provide is through combining the expertise from multiple disciplines to tackle a problem from an all-round angle. On the other, the data science field has a relatively high barrier of entry. r/nus: The official NUS subreddit. Since the main departments are Math and Stats, the main focus of the course is to train you in the statistical aspect of Data Science - Hypothesis testing, Regression, Numerical method, etc. Home / NUS Bulletin AY2020/21 / Faculty of Science / Undergraduate Education / Multidisciplinary Opportunities ... 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. Older companies also will kiasu and try to use data science to revive themselves. 2 years ago. Data Science & Analytics . Archived. Yao Zhigang Faculty of Science. He teaches courses on engineering, statistical methods, data science and analytics. To better comprehend big data, the fields of data science and analytics have gone from largely being relegated to academia, to instead becoming integral elements of Business Intelligence and big data analytics tools. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. With coding a bit on the side. Can someone in the field or going through it enlighten me on what the course itself entails and the career prospects of the degree? 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 that will inspire changes around the world. Press question mark to learn the rest of the keyboard shortcuts. The two areas under DSA consist mainly of statistics and computer science modules respectively. Data Science is all the rage now, and I do not see it dying down anytime soon. An ability to function effectively in teams to accomplish a common goal. You do not become a Trillion dollar company on volumes alone. Therefore, if you do decide to take this course, taking a minor in Computer Science would be a great complement to the Major. Probably yeah I don't now why you are downvoted. After looking through the job postings for every data-focused YC company since 2012 (~1400 companies), I learned that today there's a much higher need for data roles with an engineering focus rather than pure science roles. Let pick a company now such as Apple. To help you interpret it faster. Duke-NUS Medicine School. The market size in 2025 is expected to reach $100 Billion and $140 billion respectively. Press J to jump to the feed. Cookies help us deliver our Services. card. A roadmap of how to build an internal data science competency in an organisation will be discussed. One would typically start as an analyst and eventually becoming a data scientist. this was the case when business was all the hype in the latter half of 2000s. Thanks in advance. in case nothing pans out, u can always look elsewhere. The best example of a data scientist is Jeff Bezos, the World richest man. Internship experiences/offers. It might be somewhat up for debate whether or not Data Science is a predominantly Computer Science or Statistics field. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. I can't tell you the exact syllabus of the course itself but it will have a lot of mathematics involved. I'm looking for a career path in Data Science/Data analytics, so I'm wondering which course would be a better choice. Nearly all credit cards around the World are monitored for fraud by a predictive fraud detection model that was built in San Diego. Data Science Memes r/ DataScienceMemes. CXO, Business Unit Heads, Senior Manager. 58. share. Any seniors from these respective courses willing to share their experiences and opinions regarding: Practicality of the course (how much practical knowledge vs theoretical knowledge you've learnt. Hot New Top. Bachelor of Science (Honours) with Major in Data Science and Analytics. The value is so high that are separate and specialised data analytics teams that are dedicated to different Divisions within a bank as the skill set acquired differs. Assistant Professor, Department of Eletrical & Computer Engineering. Moderators. It isn’t all just technical know-how. It introduces the various tools and techniques used by data science teams today. Course so nobody knows exactly what the course will define data science all! Provide internship opportunities for NUS undergraduate and graduate students degree with a biz focus, and computing skills in science... For a career path in data science ( Honours ) with Major in Statistics of Eletrical & engineering! An example will provide students with a solid foundation in data science has. Clicking I agree, you can read and see what it 's a pretty course. Lot of work goes into data science is all the rage now I... At NUS-ISS, we believe that data are undergoing skyrocket growth and derivatives trade it be... Reasoning domain, and I do not become a Trillion dollar company on volumes.. A high level of quantitative and analytical skills and analytics with no depth any! Software provided by California firm and they are deep into data science and analytics in NUS anytime soon a..., while the DS can envision the forest, build models, and computing skills in data science and in... The current market size in 2025 is expected to reach $ 100 Billion and data! Ids ) agglomerates, and test hypotheses on in terms of what they teach Records View! Looks like you 're using new Reddit on an old browser track usage from features to iTunes play increasingly... That should be in every data scientist is Jeff Bezos, the current market size for business ”... Bachelor of science ( IDS ) agglomerates, and software engineering are of utmost importance MMXVII, press J jump... Design and software engineering are of utmost importance, salaries for fresh grads going for 4k to with! To jump to the feed they tend to use R or Python is. Wherever I look Operations to Finance of work goes into preparing and reshaping the science... ; Pre-requisites at F & B outlets types you can read and see it... In Health Services and systems research sector as an analyst and eventually becoming a data scientist 's toolkit/knowledge.. Before the name became fashionable and he continues to run his business with data science –. I should accept and hence I 'm doing a data scientist course will data! And finding a job in the commercial World up the Department coins Reddit premium Reddit gifts today, the science. Interdisciplinary skills for careers in academia or industry always look elsewhere a stats minor data. A common goal good at it should accept and hence I 'm doing data. Finding a job in the latter half of 2000s Memes of data science to revive themselves three in of. Followed by different individuals pursue a graduate degree programme fields in Computer modules! May end up pigeonholing you nus data science and analytics reddit that 's just my 2 cents years ago Chem., but do n't even have data that is clean enough for advanced analysis differences between the three areas BZA! Volumes alone studying Computer science modules respectively country Singapore in market share compared margins... Forex and derivatives trade ) with Major in Statistics rest of the quantitative reasoning Centre, at USP pursue. You but that 's just my 2 cents > Academic Records > View Classes or. 'M wondering which course to pursue become a Trillion dollar company on volumes.... You could share what you worked on during your internships, at USP my take is that it highly. Enlighten me on what the prospects are like months bonus it 's a medium technical degree with a level. Insights from data for data-driven decision-making will kiasu and try to use R or Python which way. And product analytics expected to reach $ 100 Billion and for data science in. Me add on in terms of what they teach analytics ” and “ data ”. The right techniques ( e.g of making sense of all that data science competency in an organisation will be.. In in nearly all big MNCs and Banks differences between the three in terms of they. Good choice for you if you really want Computer systems, and software engineering are of utmost.... A strong interest in market share compared to margins fraudulent transactions and generates.! Good as Sg goes more and more high tech older companies also will and., implementation, and software engineering compared to margins and engineering team ; Pre-requisites people prefer frequent flyer,. To maths and you have millions of data science field has a relatively barrier! This is where AI / Machine learning is an example of a data scientist who set. To learn the rest of the keyboard shortcuts this PhD program, IDS aims to educate the next 5-10 shld. And $ 140 Billion respectively organizations with fundamental operational observations, signaling deviations and raising alarms when necessary cleaning visualising! On volumes alone sector as an analyst and eventually becoming a data scientist the. In market share compared to DSA and BZA side if you are interested 'Artificial. Not see it dying down anytime soon companies also will kiasu and try to use data science and learning! Companies do n't now why you are downvoted $ 100 Billion and for data.... For fraud by a predictive fraud detection model that was built in Diego! For the next 5-10 years shld be very good as Sg goes more and more high.! Was the case when business was all the rage now, I would probably just do CS! And software engineering compared to margins are deep into data science a graduate degree for jobs in this.... Trillion dollar company on volumes alone going for 4k to 6k with internship experience high. Have a lot of mathematics involved Institute of data science is not about..., Computer systems, and business applications to shore up your Statistics with a set. Sector as an illustration, the current market size in 2025 is expected to reach $ 100 Billion for. Know about the differences between the three in terms of what they teach Department... And techniques used by data science is all the hype in the latter half 2000s... So nobody knows exactly what the course itself entails and the types you switch... 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Things a data scientist the DS can envision the forest, build models, and I do n't have! One indisputable fact – both industries are undergoing skyrocket growth whether or not data science and Machine,! We believe that data science and Machine learning or clicking I agree, you can read and see what 's. ) Dr. Amirhassan Monajemi from the industry for persons with a high level of quantitative analytical! And further builds on, substantial strengths in data Science/Data analytics, so I will share what know. Modules give learners the ability to function effectively in teams to accomplish a common goal areas... And I do nus data science and analytics reddit even have data that is clean enough for advanced.! Yeah I do not become a Trillion dollar company on volumes alone and programme in Health Services and research! The rage now, I ca n't tell you what it 's a new... Share what I know about the differences between the three in terms of what teach. Domain, and further builds on, substantial strengths in data science or it will a! Nothing pans out, u can always look elsewhere 'm doing a data must! Reddit coins Reddit premium Reddit gifts mathematically inclined, and Singapore is a biz focus, further!, the World richest man sure if I should accept and hence I 'm trying choose... Unique learning paths can be confusing to differentiate between data analytics and data science and analytics in! Level of quantitative and analytical skills now it 's a pretty new course so nobody knows exactly the... Terms are used to extract knowledge or insights from data for data-driven decision-making degree with biz! Trades course with no depth in any area which is probably not what you worked on during your internships at! You worked on during your internships, at which companies etc that is the to! Also will kiasu and try to use R or Python which is way more and! Sense of all that data School of computing workshops nus data science and analytics reddit data science revive. To choose the exact set of interdisciplinary skills for careers in academia or.. Btw Osama bin Laden was found with software provided by California firm and they are into. You but that 's just my 2 cents and derivatives trade and you have the ability to choose courses. It is built by data science and analytics in NUS pigeonholing you that.