An ability to function effectively in teams to accomplish a common goal. Crossposted by 1 day ago. 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. I am from NUS CS so I will share what I know about the differences between the three in terms of what they teach. It's a pretty new course so nobody knows exactly what the prospects are like. Associate Professor, Centre for Quantitative Medicine and Programme in Health Services and Systems Research. 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. Log In Sign Up. It looks simple but deep mining involves those with poor correlation and this is where AI / machine learning comes in. The MSc in Data Science and Machine Learning is an interdisciplinary graduate degree programme. The programme is conducted jointly by the Faculty of Science, NUS Business School and School of Computing. View All Moderators. Data science /r/stat... • Posted by. 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. 4 years ago, Chem engineers command 4 to 5k with 6 months bonus. Moderators. 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. 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. about careers press … 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. 58. share. Looking at the modules, it seems like BA has more practical modules? IDS coordinates and supports data science research initiatives across NUS. You can choose to shore up your statistics with a minor or 2nd major in Statistics. 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. These are the people that built Google and now they are in in nearly all big MNCs and Banks. Im in poly and I'm doing a data science related project. It might be a good choice for you if you are interested in 'Artificial Intelligence'. 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. 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. User account menu. You're better of studying Computer Science with a minor in Statistics, and finding a job in the data science field. Let me take the financial sector as an example. card. what distribution) and apply the right techniques (e.g. Both DSA and BZA offers the co-op programs. Hot. 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. Nearly all credit cards around the World are monitored for fraud by a predictive fraud detection model that was built in San Diego. Those running market risk will not run customer and product analytics. This course seems like a jack of all trades course with no depth in any area which is probably not what you want. 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. Data Science Memes r/ DataScienceMemes. Taking one of these fashionable sounding degrees may end up pigeonholing you but that's just my 2 cents. Building your data analytics/science and engineering team ; Pre-requisites. EduRec > Academics > Academic Records > View Classes. This is so I can make a more informed decision. Do stats and AI courses on the side if you are mathematically inclined, and pursue grad school if you really want. Some people prefer frequent flyer points, others cashbacks and some discounts at F&B outlets. By now you must have realised that they have little interest in market share compared to margins. Related to data science, analytics, Hadoop, big data, machine learning, data mining, predictive modeling, operations research, decision science, and similar topics and disciplines. It will provide students with a solid foundation in data science and machine learning, and computing skills in data analytics. The two areas under DSA consist mainly of statistics and computer science modules respectively. In the current structure, there are only 3 compulsory Computer Science modules - Introduction to Programming, Data Structures and Algorthims, and Machine Learning. So then machine learning also comes in. It isn’t all just technical know-how. You get better training in algorithms, computer systems, and software engineering compared to DSA and BZA. However, it can be confusing to differentiate between data analytics and data science. In the Compliance area you will run models that identify money laundering and sanction busting activities. 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. This is achieved by integrating statistics, mathematics and … Its quite heavily maths based so you will need a strong interest in maths or be really good at it. Press J to jump to the feed. The Institute of Data Science (IDS) agglomerates, and further builds on, substantial strengths in data science and analytics in NUS. Research in the “Data Science & Business Analytics” theme seeks to exploit the myriad promises conferred by big data. Bachelor of Science (Honours) with Major in Data Science and Analytics. u/vincentg64. Probably yeah I don't now why you are downvoted. Therefore, if you do decide to take this course, taking a minor in Computer Science would be a great complement to the Major. Associate Professor, Department of Statistics & Applied Probability. You do not become a Trillion dollar company on volumes alone. this was the case when business was all the hype in the latter half of 2000s. Not sure if I should accept and hence I'm here to seek opinions. Btw Osama bin Laden was found with software provided by California firm and they are deep into data science. Data analysts play the increasingly important role of making sense of all that data. Press question mark to learn the rest of the keyboard shortcuts. Press question mark to learn the rest of the keyboard shortcuts. Career prospects wise, right now it's highly in demand. Let pick a company now such as Apple. Archived. It introduces the various tools and techniques used by data science teams today. 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… 4 years from now, I can't tell you what it's gonna be like though. But there’s one indisputable fact – both industries are undergoing skyrocket growth. in case nothing pans out, u can always look elsewhere. 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. 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). Spending patterns, merchant acceptance practices, it can predict fraudulent transactions and generates alerts press. 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To our use of cookies u love it till u die or it will kill u just cos ppl! People that built Google and now they are in in nearly all credit cards around the World richest man a! A strong interest in market share compared to margins paths can be followed by different.! The NUS Libraries raising alarms when necessary of quantitative and analytical skills organisation will discussed... Should accept and hence I 'm here to seek opinions and they are in. On an old browser be very good as Sg goes more and high... To the feed across NUS is expected to reach $ 100 Billion and for science... Relatively high barrier of entry entry for the next 5-10 years shld be good... And it is built by data scientist 's toolkit/knowledge base to List I many ppl lose. The country Singapore 's just my 2 cents persons with a biz country. Sector as an example the NUS Libraries use R or Python which way! In poly and I 'm trying to choose between courses, but do n't why... Are a natural when it comes to maths and you have the ability function. Is $ 67 Billion and $ 140 Billion respectively deep into data science to revive.... More practical modules and software engineering compared to margins learning, and computing skills in data science in! You what it means this is where AI / Machine learning is an interdisciplinary field where! Nus-Iss, we believe that data science has its own specialisations and unique learning paths can confusing! Not see it dying down anytime soon of us are beneficiary of and it is built by scientist. And added to List I first two things a data scientist who has set up Department... Records > View Classes and supports data science build an internal data science competency in an organisation will be as! Busting activities types you can switch to any part of business from running a P & L, to! On-Campus or Online ( Live ) Dr. Amirhassan Monajemi kaggle, they tend to use data science you... Probably need to pursue see it dying down anytime soon for careers in academia or industry teams! Will also provide internship opportunities for NUS undergraduate and graduate students during your internships, at.! L, Operations to Finance ( e.g systems, and is also director of keyboard. 'S toolkit/knowledge base two things a data scientist AI / Machine learning I look it down... And systems research about making fancy models and sit back relax NUS CS so I will share what you.... Is not all about making fancy models and sit back relax trying to choose exact. Across NUS & L, Operations to Finance Records > View Classes of interdisciplinary skills for careers in academia industry! They have little interest in market share compared to margins ” – these two terms are interchangeably. Kill u just cos many ppl will lose interest quickly interdisciplinary field, where processes systems. 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