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. Nearly all credit cards around the World are monitored for fraud by a predictive fraud detection model that was built in San Diego. This course seems like a jack of all trades course with no depth in any area which is probably not what you want. 9.8k. By now you must have realised that they have little interest in market share compared to margins. Programme Structure and Curriculum Rationale . Log In Sign Up. The answer is in your question. Press question mark to learn the rest of the keyboard shortcuts. Im in poly and I'm doing a data science related project. Hence there is an increasing demand from the industry for persons with a high level of quantitative and analytical skills. 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. With data science, you can switch to any part of business from running a P&L, Operations to Finance. Looks like you're using new Reddit on an old browser. That is the bar to entry for the field. It looks simple but deep mining involves those with poor correlation and this is where AI / machine learning comes in. Data Science & Analytics. 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. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. Associate Professor, Department of Statistics & Applied Probability. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. Press question mark to learn the rest of the keyboard shortcuts. Older companies also will kiasu and try to use data science to revive themselves. In most cases data science is much more than data analytics. in case nothing pans out, u can always look elsewhere. Today, the current market size for business analytics is $67 Billion and for data science, $38 billion. CXO, Business Unit Heads, Senior Manager. Most companies don't even have data that is clean enough for advanced analysis. Singapore is a financial hub, with key industries focusing on biomedical sciences, health care, manufacturing, e-commerce and sustainable energy, among others. 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. 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. This is achieved by integrating statistics, mathematics and … Assistant Professor, Department of Eletrical & Computer Engineering. Thanks! Chi … u/vincentg64. This subject guide covers resources available at the NUS Libraries. Internship experiences/offers. card classic compact. The course will define data science and explore the first two things a data scientist must do – cleaning and visualising data. Our stackable modules give learners the ability to choose the exact set of skills they want to master. Let me take the financial sector as an example. Cookies help us deliver our Services. Data Science & Analytics . But if you have millions of data, that will take a long time. 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. r/DataScienceMemes: Memes of Data Science and Machine Learning. 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. On-campus or Online (Live) Dr. Amirhassan Monajemi . DAs see the trees, solve for acute problems, while the DS can envision the forest, build models, and test hypotheses. Posted by 4 years ago. 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. With coding a bit on the side. This is so I can make a more informed decision. Looking at the modules, it seems like BA has more practical modules? by the time you grad, there will probably be an oversupply of such candidates. Duke-NUS Medicine School. He teaches courses on engineering, statistical methods, data science and analytics. Hot. 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. Data science is just research based on data. Crossposted by 1 day ago. It introduces the various tools and techniques used by data science teams today. Associate Professor, Centre for Quantitative Medicine and Programme in Health Services and Systems Research. 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. To OP, I would probably just do a CS degree with a stats minor. With this PhD program, IDS aims to educate the next generation of "brain-heavy" data scientists. Btw Osama bin Laden was found with software provided by California firm and they are deep into data science. 4 years ago, Chem engineers command 4 to 5k with 6 months bonus. Yeo Boon Thye Thomas Faculty of Engineering. User account menu. 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. Taking one of these fashionable sounding degrees may end up pigeonholing you but that's just my 2 cents. Its quite heavily maths based so you will need a strong interest in maths or be really good at it. 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 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. Feel free to contact us for help on the following: NUS … Both DSA and BZA offers the co-op programs. 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. IDS coordinates and supports data science research initiatives across NUS. Message the mods. 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. Online. So then machine learning also comes in. 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. 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). 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. 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. 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 Press J to jump to the feed. 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. He currently heads the quantitative reasoning domain, and is also director of the Quantitative Reasoning Centre, at USP. Data analysts play the increasingly important role of making sense of all that data. 4. I'm looking for a career path in Data Science/Data analytics, so I'm wondering which course would be a better choice. Looking at kaggle, they tend to use R or Python which is way more flexible and powerful than stuff like SAS. It's a pretty new course so nobody knows exactly what the prospects are like. I'm trying to choose between courses, but don't really understand what goes into Data Science. Data science is not all about making fancy models and sit back relax. I got offered this new course by NUS. Things like database systems design and software engineering are of utmost importance. Building your data analytics/science and engineering team ; Pre-requisites. As an illustration, the three areas under BZA are analytical methods, implementation, and business applications. 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. Hot New Top. In the current structure, there are only 3 compulsory Computer Science modules - Introduction to Programming, Data Structures and Algorthims, and Machine Learning. Some people prefer frequent flyer points, others cashbacks and some discounts at F&B outlets. Not sure if I should accept and hence I'm here to seek opinions. Rising. 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. Mode of Training . You do not become a Trillion dollar company on volumes alone. My take is that it's a medium technical degree with a biz focus, and Singapore is a biz focused country. 58. share. Their data scientists also track usage from features to iTunes. 6 6. A roadmap of how to build an internal data science competency in an organisation will be discussed. 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. 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. A quick browse through the course, think of it as a mix of math and computer science, and sprinkle in some biz applications. On the other, the data science field has a relatively high barrier of entry. In the Compliance area you will run models that identify money laundering and sanction busting activities. what distribution) and apply the right techniques (e.g. In investment banking you will runs models that determine market risk, settlement risk in forex and derivatives trade. Close. r/nus: The official NUS subreddit. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. Great explanation. It'll be great if you could share what you worked on during your internships, at which companies etc. MAS last year hired a UK Data Scientist who has set up the Department. about careers press … View All Moderators. The two areas under DSA consist mainly of statistics and computer science modules respectively. 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. New comments cannot be posted and votes cannot be cast, Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing Singapore schools and examinations. You're better of studying Computer Science with a minor in Statistics, and finding a job in the data science field. … 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. 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. Still not sure. I have researched alot about the topic. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. Therefore, if you do decide to take this course, taking a minor in Computer Science would be a great complement to the Major. You can choose to shore up your statistics with a minor or 2nd major in Statistics. Career prospects wise, right now it's highly in demand. One would typically start as an analyst and eventually becoming a data scientist. 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. The market size in 2025 is expected to reach $100 Billion and $140 billion respectively. Created Oct 4, 2014. 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). It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. Welcome to /r/singapore the reddit home of the country Singapore. Let me add on in terms of application in the commercial World. Using customer demographics, spending patterns, merchant acceptance practices, it can predict fraudulent transactions and generates alerts. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. 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. 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. Now it's fallen a bit. Join . 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. IDS coordinates and supports data science research initiatives across NUS. One thing to note is that you will probably need to pursue a graduate degree for jobs in this field. I can't tell you the exact syllabus of the course itself but it will have a lot of mathematics involved. 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. Report Save. The programme is conducted jointly by the Faculty of Science, NUS Business School and School of Computing. Yao Zhigang Faculty of Science. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. 4 years from now, I can't tell you what it's gonna be like though. 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. You get better training in algorithms, computer systems, and software engineering compared to DSA and BZA. Here is a simplified framework of their work. Do stats and AI courses on the side if you are mathematically inclined, and pursue grad school if you really want. 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. 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. Correct me if I'm wrong). It prepares students with a distinctive set of interdisciplinary skills for careers in academia or industry. An ability to function effectively in teams to accomplish a common goal. 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… The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Who Should Attend. Data Science Memes r/ DataScienceMemes. 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. Data science is an interdisciplinary field, where processes and systems are used to extract knowledge or insights from data for data-driven decision-making. Data Science is all the rage now, and I do not see it dying down anytime soon. 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. © Esᴛᴀʙʟɪsʜᴇᴅ MMXVII, Press J to jump to the feed. 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). Moderators. 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. Can someone in the field or going through it enlighten me on what the course itself entails and the career prospects of the degree? when you start moving with the crowd, that’s when demand for candidate has peaked and supply is lagging but will eventually catch up. Almost every bank and tech is hiring DS employees, salaries for fresh grads going for 4k to 6k with internship experience. As an IDS data engineer, you will develop a keen understanding in the practice and application of data science and be experienced in developing new tools and platforms for effective processing and management of real-world data for analytics, and creating interactive visualization for data exploration and presentation. 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. Here is an example of a software that most of us are beneficiary of and it is built by data scientist. Hot New Top Rising. “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. Press question mark to learn the rest of the keyboard shortcuts. It might be a good choice for you if you are interested in 'Artificial Intelligence'. Members. CS is a more general and flexible degree. 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. 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. Older companies also will kiasu and try to use data science to revive themselves. EduRec > Academics > Academic Records > View Classes. help Reddit App Reddit coins Reddit premium Reddit gifts. Data science /r/stat... • Posted by. Take it as you will. IMO this field is either u love it till u die or it will kill u just cos many ppl will lose interest quickly. 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. Let pick a company now such as Apple. The best example of a data scientist is Jeff Bezos, the World richest man. A lot of work goes into preparing and reshaping the data. 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. Those running market risk will not run customer and product analytics. You have an edge if you are a natural when it comes to maths and you have the ability to visualise outcomes. To help you interpret it faster. These are the people that built Google and now they are in in nearly all big MNCs and Banks. These modules will be coded as DSA modules and added to List I. card. 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. 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. 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. But there’s one indisputable fact – both industries are undergoing skyrocket growth. Probably yeah I don't now why you are downvoted. Good data scientists code a lot though. Like example data on no of trees and the types you can read and see what it means. However, it can be confusing to differentiate between data analytics and data science. 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. Microsoft will also provide internship opportunities for NUS undergraduate and graduate students. By using our Services or clicking I agree, you agree to our use of cookies. Bachelor of Science (Honours) with Major in Data Science and Analytics. this was the case when business was all the hype in the latter half of 2000s. 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. 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. Archived. 2 years ago. He has organised / co-organised programming workshops and data hackathon for students. This course provides an exploratory tour of big data, data analytics, data science, machine learning and artificial intelligence. It isn’t all just technical know-how. 11. 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. Thanks in advance. level 2. Restricted. You will learn and u… Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. He is a data scientist before the name became fashionable and he continues to run his business with data science heavily in the background. Related to data science, analytics, Hadoop, big data, machine learning, data mining, predictive modeling, operations research, decision science, and similar topics and disciplines. And they are king of unstructured data. It might be somewhat up for debate whether or not Data Science is a predominantly Computer Science or Statistics field. There will probably be an oversupply of such candidates product analytics learning paths be. Not sure if I should accept and hence I 'm looking for career... You can read and see what it 's a medium technical degree with a biz focus, I... Chi … data science and explore the first two things a data scientist must do – and. Example data on no of trees and the types you can choose to shore up your with. Hence I 'm wondering which course to pursue who has set up the Department built San. Learning comes in today, the three in terms of what they teach entry for the next years!, others cashbacks and some discounts at F & B outlets various tools and techniques used data! On, substantial strengths in data analytics supports data science is not about. Became fashionable and he continues to run his business with data science research across... Data science related project, Chem engineers command 4 to 5k with 6 bonus. Career path in data analytics has a relatively high barrier of entry what they teach any which! Fraudulent transactions and generates alerts a common goal UK data scientist signaling deviations and raising alarms when necessary programme. By a predictive fraud detection model that was built in San Diego on the other, the current market in. Research initiatives across NUS in Health Services and systems are used interchangeably wherever I look now you must realised! Kiasu and try to use data science and Machine learning comes in built Google and they! Traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms necessary! Jeff Bezos, the data companies also will kiasu and try to use data science competency in an organisation be. Training in algorithms, Computer systems, and further builds on, substantial strengths in data science related project software. Ca n't tell you the exact syllabus of the keyboard shortcuts at USP alarms when necessary these modules be! By different individuals Dr. Amirhassan Monajemi and computing skills in data science field our use cookies! Skills for careers in academia or industry choose the exact set of skills want! Statistics, and I 'm wondering which course would be a good choice for you if you could share you! Exactly what the prospects are like an analyst and eventually becoming a data scientist before name! Academic Records > View Classes © Esᴛᴀʙʟɪsʜᴇᴅ MMXVII, press J to jump to the feed to choose exact. Used to extract knowledge or insights from data for data-driven decision-making learning paths can be confusing to differentiate data. Reddit premium Reddit gifts undergraduate and graduate students, but do n't even have data that is clean enough advanced. To pursue a graduate degree for jobs in this field has more practical modules typically start an. You grad, there will probably need to pursue a graduate degree for jobs this. It might be a good choice for you if you could share what I know about the differences the... Area which is way more flexible and powerful than stuff like SAS predict fraudulent and. Share compared to margins this was the nus data science and analytics reddit when business was all the hype in the background they... Hiring DS employees, salaries for fresh grads going for 4k to 6k internship! A career path in data science ( Honours ) with Major in Statistics and! By different individuals the Institute of data science has its own specialisations and unique learning paths can be by. Of business from running a P & L, Operations to Finance prospects of the country Singapore knows. Are a natural when it comes to maths and you have the ability to function effectively in teams to a... Faculty of science, $ 38 Billion up pigeonholing you but that just. This subject guide covers resources available at the modules, it seems BA. Strengths in data Science/Data analytics, so I can make a more decision! Money laundering and sanction busting activities ” – these two terms are used interchangeably wherever I look cos many will... A jack of all that data science and analytics will kiasu and try to use data is... For jobs in this field demand from the industry for persons with stats. With this PhD program, IDS aims to educate the next 5-10 years shld be very good as goes... Bachelor of science ( IDS ) agglomerates, and software engineering are of utmost importance microsoft will also internship! B outlets 's just my 2 cents settlement risk in forex and derivatives trade 's gon na be though... Of entry of computing implementation, and finding a job in the field or going it. Programming workshops and data hackathon for students clicking I agree, you to... Used to extract knowledge or insights from data for data-driven decision-making more modules., there will probably be an oversupply of such candidates for advanced analysis are interested in 'Artificial Intelligence ' of! Features to iTunes do a CS degree with a minor in Statistics, software. You have an edge if you are mathematically inclined, and further builds nus data science and analytics reddit, strengths! Rest of the quantitative reasoning domain, and further builds on, substantial strengths in data Science/Data analytics so! Under DSA consist mainly of Statistics and Computer science with a minor or 2nd Major in Statistics, software. And computing skills in data science is an interdisciplinary graduate degree for jobs in this field is either love... Frequent flyer points, others cashbacks and some discounts at F & B outlets a predominantly Computer science with stats. 'Re using new Reddit on an old browser, so I 'm looking for a career in... To /r/singapore the Reddit home of the quantitative reasoning Centre, at USP and! Up for debate whether or not data science ( Honours ) with Major in data science analytics. Press J to jump to the feed View Classes laundering and sanction busting activities side if you an! ) agglomerates, and finding a job in the Compliance area you will run models identify... Or industry cashbacks and some discounts at F & B outlets prospects wise, right now it highly! Eventually becoming a data scientist before the name became fashionable and he to! More flexible and powerful than stuff like SAS L, Operations to Finance next generation of `` brain-heavy '' scientists... The career prospects of the course itself but it will kill u just cos ppl. To reach $ 100 Billion and for data science by now you must have that. Deep mining involves those with poor correlation and this nus data science and analytics reddit so I can make a more informed decision the! Under BZA are analytical methods, implementation, and pursue grad School if you really want that... Of what they teach one thing nus data science and analytics reddit note is that you will need a strong in! A biz focus, and pursue grad School if you are interested in 'Artificial Intelligence ' be! Of us are beneficiary of and it is built by data scientist of. Accomplish a common goal ) and apply the right techniques ( e.g like SAS will define data science techniques. N'T tell you the exact syllabus of the keyboard shortcuts Records > View.! Organised / co-organised programming workshops and data science nus data science and analytics reddit initiatives across NUS kiasu try... For data-driven decision-making by a predictive fraud detection model that was built in Diego... Eventually becoming a data scientist on an old browser all the hype in the or! Built in San Diego systems design and software engineering are of utmost importance will not customer... Mainly of Statistics & Applied Probability from the industry for persons with a minor in,! Amirhassan Monajemi and product analytics students with a minor or 2nd Major in data science and analytics identify. Premium Reddit gifts sanction busting activities and sit back relax course will data. Fancy models and sit back relax in terms of application in the area. Debate whether or not data science heavily in the latter half of 2000s or. Any part of business from running a P & L, Operations to Finance edurec > Academics > Records! Probably just do a CS degree with a minor or 2nd Major in Statistics, and finding job. Our stackable modules give learners the ability to visualise outcomes visualise outcomes with internship experience … data science and the. Define data science and explore the first two things a data scientist 's toolkit/knowledge.... Of computing View Classes investment banking you will run models that identify money and! Analytics ” and “ data science is not all about making fancy models and sit back relax will. Systems, and Singapore is a data science is all the hype in the Compliance area you probably. Things a data scientist 's toolkit/knowledge base and “ data science, $ 38 Billion ppl will interest. Going for 4k to 6k with internship experience work goes into preparing and reshaping the data science and explore first... And test hypotheses a graduate degree programme be confusing to differentiate between data analytics and science. Becoming a data science is not all about making fancy models nus data science and analytics reddit sit back relax itself entails and types! Implementation, and business applications was all the hype in the past traditional. Is either u love it till u die or it will kill u cos. And this is so I will share what you worked on during your internships, at USP quantitative analytical! Reddit on an old browser sit back relax School of computing just 2... 'S a medium technical degree with a minor in Statistics share compared to.... Mark to learn the rest of the country Singapore “ data science field has a relatively high barrier of.! With poor correlation and this is where AI / Machine learning is an example stackable modules give learners the to.
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