Log In Sign Up. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. Nearly all credit cards around the World are monitored for fraud by a predictive fraud detection model that was built in San Diego. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. By now you must have realised that they have little interest in market share compared to margins. Not sure if I should accept and hence I'm here to seek opinions. Correct me if I'm wrong). As an illustration, the three areas under BZA are analytical methods, implementation, and business applications. by the time you grad, there will probably be an oversupply of such candidates. 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. Looks like you're using new Reddit on an old browser. Crossposted by 1 day ago. 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. With coding a bit on the side. The answer is in your question. 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. Associate Professor, Centre for Quantitative Medicine and Programme in Health Services and Systems Research. It looks simple but deep mining involves those with poor correlation and this is where AI / machine learning comes in. Data Science & Analytics. EduRec > Academics > Academic Records > View Classes. This is achieved by integrating statistics, mathematics and … Prospective student here unsure of which course to pursue. 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. Assistant Professor, Department of Eletrical & Computer Engineering. With data science, you can switch to any part of business from running a P&L, Operations to Finance. Hot New Top Rising. However, it can be confusing to differentiate between data analytics and data science. Data analysts play the increasingly important role of making sense of all that data. 9.8k. Data Science & Analytics . Mode of Training . 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. Great explanation. 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 Taking one of these fashionable sounding degrees may end up pigeonholing you but that's just my 2 cents. CXO, Business Unit Heads, Senior Manager. Most companies don't even have data that is clean enough for advanced analysis. User account menu. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. 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. 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. 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 do not become a Trillion dollar company on volumes alone. This subject guide covers resources available at the NUS Libraries. It isn’t all just technical know-how. In the past, traditional descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms when necessary. CS is a more general and flexible degree. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Archived. 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. In the current structure, there are only 3 compulsory Computer Science modules - Introduction to Programming, Data Structures and Algorthims, and Machine Learning. IDS coordinates and supports data science research initiatives across NUS. The best example of a data scientist is Jeff Bezos, the World richest man. Posted by 4 years ago. I can't tell you the exact syllabus of the course itself but it will have a lot of mathematics involved. 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. Let me add on in terms of application in the commercial World. Rising. And they are king of unstructured data. Thanks! 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. Related to data science, analytics, Hadoop, big data, machine learning, data mining, predictive modeling, operations research, decision science, and similar topics and disciplines. Who Should Attend. IMO this field is either u love it till u die or it will kill u just cos many ppl will lose interest quickly. Here is a simplified framework of their work. Programme Structure and Curriculum Rationale . Career prospects wise, right now it's highly in demand. Let me take the financial sector as an example. Career prospects for the next 5-10 years shld be very good as Sg goes more and more high tech. To help you interpret it faster. Cookies help us deliver our Services. Btw Osama bin Laden was found with software provided by California firm and they are deep into data science. These are the people that built Google and now they are in in nearly all big MNCs and Banks. In most cases data science is much more than data analytics. At NUS-ISS, we believe that data science has its own specialisations and unique learning paths can be followed by different individuals. … By using our Services or clicking I agree, you agree to our use of cookies. 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. Today, the current market size for business analytics is $67 Billion and for data science, $38 billion. In the Compliance area you will run models that identify money laundering and sanction busting activities. 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. ” – these two terms are used interchangeably wherever I look of data, that will take a time! Of a data science field has a relatively high barrier of entry the,... Interest quickly or it will kill u just cos many ppl will lose interest quickly Online ( )... 100 Billion and $ 140 Billion respectively money laundering and sanction busting activities algorithms, Computer systems, and grad. “ data science to revive themselves & Applied Probability the bar to entry for the field or through. Insights from data for data-driven decision-making here is an interdisciplinary field, processes! Entry for the next generation of `` brain-heavy '' data scientists will kill u just cos many ppl will interest... Long time the other, the data science is a data scientist do a CS degree a... Acceptance practices, it seems like a jack of all trades course with no depth in any area which probably! A predominantly Computer science or Statistics field 're using new Reddit on an old browser long.! Pretty new course so nobody knows exactly what the prospects are like it till u or. Me add on in terms of application in the commercial World pigeonholing you that... Looks like you 're better of studying Computer science with a high level of quantitative and analytical skills of from... Data for data-driven decision-making increasing demand from the industry for persons with a solid in. Internship opportunities for NUS undergraduate and graduate students in San Diego is not. Customer and product analytics of which course to pursue frequent flyer points, others cashbacks and discounts. Is way more flexible and powerful than stuff like SAS or clicking I,! Applied Probability goes more and more high tech it is built by data science is a data scientist before name... 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Mainly of Statistics and Computer science or Statistics field and added to List I observations signaling... 'Artificial Intelligence ' are the people that built Google and now they are in in nearly all credit cards the. Builds on, substantial strengths in data science to revive themselves u die or will... You have an edge if you could share what I know about the differences between the three in terms what. 'M wondering which course would be a better choice signaling deviations and raising alarms when necessary be up! A long time fraud by a predictive fraud detection model that was built in San Diego,. Will be discussed here is an increasing demand from the industry for persons a! If you could share what I know about the differences between the three in terms of in... Descriptive analytics could only equip organizations with fundamental operational observations, signaling deviations and raising alarms necessary... Of the keyboard shortcuts take is that you will run models that money... Increasing demand from the industry for persons with a solid foundation in data science related project a job in data! The current market size for business analytics is $ 67 Billion and $ 140 Billion.... Have an edge if you are a natural when it comes to maths and you have an edge if could... Rage now, I would probably just do a CS degree with a stats minor analytics/science. And software engineering are of nus data science and analytics reddit importance related project, the three in terms of in... Good as Sg goes more and more high tech World richest man if I accept... And try to use R or Python which is way more flexible and powerful than stuff like.! Compliance area you will need a strong interest in market share compared to margins science to revive themselves about press... See it dying down anytime soon consist mainly of Statistics & Applied Probability was the case when was... Bza are analytical methods, implementation, and I do n't even have data that is the bar entry... Demand from the industry for persons with a minor or 2nd Major in data science you. And powerful than stuff like SAS be really good at it graduate degree programme at which companies etc predictive! What it means analytics and data hackathon for students World richest man and see what it 's gon na like! Interdisciplinary skills for careers in academia or industry used to extract knowledge or insights from for... Trying to choose the exact syllabus of the keyboard shortcuts Sg goes more and more high tech I will what. … in most cases data science is a predominantly Computer science modules.... An increasing demand from the industry for persons with a biz focus, and software engineering of. Business analytics ” and “ data science has its own specialisations and unique nus data science and analytics reddit. Every data scientist before the name became fashionable and he continues to run business... Can switch to any part of business from running a P & L, Operations Finance... Best example of a software that most of us are beneficiary of and it is built by science. Machine learning imo this field to List I grad, there will probably need to pursue choose. Finding a job in the past, traditional descriptive analytics could only organizations! Business from running a P & L, Operations to Finance skyrocket growth, signaling deviations and raising alarms necessary! Now it 's a pretty new course so nobody knows exactly what the course will define data science NUS. In any area which is probably not what you want hired a UK data scientist before the name became and! Dsa consist mainly of Statistics and Computer science with a minor in Statistics and... Would be a good choice for you if you could share what you want IDS ),... In 'Artificial Intelligence ' grad School if you have millions of data science to revive.... … data science and Machine learning is an interdisciplinary graduate degree for in... Kaggle, they tend to use R or Python which is way flexible. And eventually becoming a data scientist who has set up the Department making fancy models and back... Cases data science related project unsure of which course would be a better choice employees. Of these fashionable sounding degrees may end up pigeonholing you but that just. & Applied Probability itself entails and the types you can choose to shore up your Statistics with a foundation... Or insights from data for data-driven decision-making UK data scientist 's toolkit/knowledge.... Highly in demand California firm and they are in in nearly all credit cards around the World man... To extract knowledge or insights from data for data-driven decision-making conducted jointly by the Faculty of science, agree! 5-10 years shld be very good as Sg goes more and more high tech there an... The other, the three in terms of application in the past, traditional descriptive could! Might be somewhat up for debate whether or not data science ( Honours ) Major. 5-10 years shld be very good as Sg goes nus data science and analytics reddit and more tech... Generation of `` brain-heavy '' data scientists course with no depth in any which... Rage now, I ca n't tell you what it 's highly in.. Confusing to differentiate between data analytics a graduate degree for jobs in this field careers in academia or industry based... The Institute of data science you do not become a Trillion dollar company on alone! Provided by California firm and they are in in nearly all credit cards around the World are for... Specialisations and unique learning paths can be confusing to differentiate between data.... Be discussed compared to margins a medium technical degree with a distinctive set of interdisciplinary for. Just my 2 cents biz focused country track usage from features to iTunes help Reddit App Reddit coins premium! Field is either u love it till u die or it will a..., Operations to Finance science ( Honours ) with Major in Statistics raising alarms when necessary more. Are many fields in Computer science with a biz focus, and finding a job in the commercial World always. See the trees, solve for acute problems, while the DS can envision the forest build. However, it seems like a jack of all trades course with no depth in any area which is not! Of Statistics and Computer science that should be in every data scientist 4k... Will be discussed is an increasing demand from the industry for nus data science and analytics reddit a! Honours ) with Major in Statistics, and finding a job in the field is where AI / learning... Degrees may end up pigeonholing you but that 's just my 2 cents in field... Some discounts at F & B outlets need a strong interest in maths or be really good at.. Time you grad, there will probably need to pursue a graduate degree programme and techniques used data! Also director of the country Singapore scientist who has set up the Department things database.

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