The answer is "almost never". The course not only provided a clear ‘box tick’ against these on my CV but enabled me to continue to expand my skills after with more and more interesting projects. Ironically, this is the last thing I would have considered back in 2016 but as the field is constantly expanding it is incredible to be at the forefront of this, particularly because many problems require an applied mindset and fit within commercial problems and are not simply theoretical. Home; Contacts; Search for: Online Signature Loans Becoming Even More Popular due to Crisis. By Kat Campise, Data Scientist, Ph.D. An online master’s degree in data science is an interdisciplinary program geared to help students prepare for a career as a data scientist.Generally, coursework is focused in computer science… The question isn't "is a masters in data science useful". It helped more than anything to have this when I got to further interview stages as I often found the person interviewing would look at my website and work beforehand and make the process much smoother and improved my confidence in the interview. Am UK time so will most likely reply to questions tomorrow morning when I have some time. [–]simongaspard 2 points3 points4 points 1 year ago (0 children). - this enabled me to get past the screening stages I was previously stuck at before, - but I also realised that I enjoyed research and there was a good opportunity to become a respected specialist in the topics I was already getting traction with, - therefore I was able to get the PhD that aligned with my interests at an internationally respected university, - that I hope can further expand my job options (for aligning with my interests and for salary prospects) or allow my me to pursue entrepreneurial ventures. Furthermore, most of my work at this point was within Excel and I was gaining little to no coding experience. Without those kinds of metrics - how much did it cost, how much does he make now that he couldn't before, how much would he make here at each level, and of course what job, salary, and title would the PhD get in London and the US? -Software Agents (optional choice 1) The Masters programme will be under the joint academic leadership of the faculties of Computer Science in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and of Statistics in the Faculty of Arts and Sciences (FAS). The professional graduate certificate in Data Science requires four courses: One statistics course (choose one from select group) Two electives (choose any two courses from select group) One required data science course (choose one from select group) Determine the course progression that is right for you using our recommended course paths. This was the second year the course was offered at this university and, at the time, was the only university in London that offered a Data Science Masters (though others had some variations of this). At the time there were two types of courses that fit within my goals; business analysts courses and computer science machine learning. But perhaps this is based on the location. Please wish me luck, and thank you again!! Short Answer: If you choose the right set of courses, Harvard Data Science certificate can be a great way to enter the field of data science. The Harvard Data Science Initiative is pleased to announce the appointment of Sheila Jasanoff, Pforzheimer Professor of Science and Technology Studies, Harvard Kennedy School, as Faculty Lead of the HDSI’s Trust in Science project. The title has been around for only a few years. As I stand I have no interest in education past a Master's but have wondered whether my mind will change like yours has.. [–]osbornep[S] 1 point2 points3 points 1 year ago (0 children). The articles are forthcoming in December. The quality of the university is pretty much unavoidable when talking about master's programs. How relevant are complex math topics in industry. I have an MPH as well. It's not. The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. And speaking of London compared to the USA, I'm curious about salary in the jobs OP hasn't gotten yet with his MS success. Candidates apply through the Graduate School of Arts and Sciences. This is always a hard question for me to answer as each person’s position is different so will try to offer some advice based on my experience. ... data these days is big and getting bigger. -Visual Analytics (optional choice 2). Get an ad-free experience with special benefits, and directly support Reddit. So I should clarify, I chose a PhD because I realised during my Masters studies that research projects really sparked my interest more than what I believe I could find in a job at the moment. holidays) and other living costs are less (e.g. -Big Data (continuation of principles) Now this doesn't sound as promising to me. It includes courses titled Data Science 101, Data Science Methodology, Data Science Hands-on with Open Source Tools, and R 101. Advice: Job in StartUp or Masters in Europe? Second, I’ve been wondering about the data science masters route for the last couple of years, this post helped me to organize that though process a bit. Here, we look at the 9 best data science courses that are available for free online. It was the spring of 2016 and I was coming towards the end of a 6 month internship at one of the largest consulting firms in the City of London. As an open access platform of the Harvard Data Science Initiative, the Harvard Data Science Review features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability. Each module consisted of a coursework component that we were given a choice of any publicly available dataset to apply our newly learned methods on. To simplify it down to outcomes in order: - my masters built my skills and confidence in applying data science. Admin Login. Starting in the second half of 2018, Harvard University will offer a new postgraduate degree – the MSc in Data Science. I quickly found passion in the data analytics of the role as I was being pulled into meetings to discuss numbers I had crunched or was able hack together a tool to automate previously manual tasks. As an open access platform of the Harvard Data Science Initiative, the Harvard Data Science Review (HDSR) features foundational thinking, research milestones, educational innovations, and major applications. -Data Visualisation Data science degrees won't get even close because you'll spend your time getting the bare basics that everyone else learned during their first year of their bachelors. And what is the return on the PhD? Stay up to date, join the HDSR Newsletter. The question is "is a masters in data science MORE useful than a masters in X" where X is computer science with some machine learning modules/statistics with some programming courses thrown in. I understood the business reasons for this but was not willing to wait that long to do these things. The point wasn't that masters in stats or CS is inherently worse. It was identified as one of only a few sources of talent with proven strengths in data science alongside Stanford, Berkeley, Harvard, and Carnegie Mellon. Write to iacsadmissions@seas.harvard.edu Required Application Materials Why the fuck are you comparing no-name CS to literally the top university on the planet data science? Therefore, I thought it best to summarise my decision for starting the course, what I have achieved during my studies, and the outcome in the years following. And why shouldn’t it? Best practices to employ DataScience on Campaign data from Facebook and Google Ads ? So, as least in my experience, this is unfortunately true, we are still defined by the more traditional sectors, such as banking, accounting, actuarial, lawyers etc. The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. The program will offer strong preparation in statistical modeling, machine learning, optimization, management and analysis of massive data sets, and data acquisition. I currently work as a behavioral therapist and previously as a research assistant, focused on project management, data cleaning & visualizations with R; I enjoyed it. Big Data also introduced text data and natural language processing. © 2020 reddit inc. All rights reserved. While some concerns are warranted, most should be taken with a grain of salt. I created this article for Medium but thought it would be good to post it here as well to help discussions as I often see questions about Data Science Masters and whether they are worth it. A masters in either of the above from MIT/Harvard will blow the data science/business analytics masters from the same schools out of the water. Where becoming an Actuary I would be solving problems by learning regulatory standards, Data Scientists are encouraged to creatively find solutions that fit within the commercial environment. In the end, I found that I enjoyed the research aspect of my dissertation and the freedom to pursue the field and have since move onto a PhD in Artificial Intelligence. I was already getting lots of interest for my online projects and so wanted to see how far I could take this and my dream has always been more to the entrepreneurial side of business so why not study more while I have less to lose (no kids etc). With these, I was quickly able to improving my coding skills and even built the confidence to start sharing these projects publicly. Conversely, if you had a BS in Data Science, would you say that’s sufficient? Furthermore, the role opportunities were no longer fixed into a few select firms but almost all companies were looking for some variation of a Data Scientist and the idea that I could move into a completely new industry, from fashion to finance, greatly appealed to my interests. After posting them on your own website or where did they actually find your articles? Data science degrees are only useful if you can't get accepted into CS/statistics because you simply lack the background. HDSR is an open access journal of the Harvard Data Science Initiative published by the MIT Press. The cost of the masters was £9,000 (standard for one year at UK universities) and was able to support most my living costs by tutoring during the year. She has more than 10 years of experience leading the Dataverse project and more than 15 years of experience building data management and analysis systems in academia and biotechnology companies. Spread across 9 courses, this immersive program is among the best rated online masters programs available on leading e-learning platform edX. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. People will complain about anything that is "different" because it breeds insecurity. OpenScholar. Read our issues HERE THE HARVARD DATA SCIENCE INITIATIVE. Give it a look! It was at this point I also started to explore a magical term that kept coming up in my job searches: Data Science. Here is the perspective from a current student (as of Jan 2017) of the Data Science certificate. We're working on our wiki where we've curated answers to commonly asked questions. Great post! Your submission looks like a question. [–][deleted] 5 points6 points7 points 1 year ago (0 children). Use of this site constitutes acceptance of our User Agreement and Privacy Policy. But if I were a multi-millionaire and did not have to work, I would get a Ph.D. in astronomy. A Telescopic, Microscopic, and Kaleidoscopic View of Data Science, Interview forthcoming in December; Abstract now available, Special Theme: Reproducibility & Replicability, Impact, Innovation, and Knowledge Transfer, Guest Editors: Liberty Vittert, Ryan Enos, & Steve Ansolahebere. I did not want to get caught in another role that would basically come down to making some pretty presentations with a bit of machine learning to make it sounds fancy. Now this doesn't sound as promising to me. An impressive offering with no review data. A supportive role you can do with Stats or MPH degree- all healthcare positions are in my opinion either going to be BI jobs or Stat focused jobs. The first term consisted of the three main topics of Data Science: fundamentals of data science, machine learning and visualisations. I ask because the MSc Data Science program I completed was 32 hours over 5 semesters. The Harvard Faculty of Arts and Sciences is pleased to offer the Master of Science (SM) degree in Data Science. As an open access platform of the Harvard Data Science Initiative, the Harvard Data Science Review features foundational thinking, research milestones, educational innovations, and major applications, with a primary emphasis on reproducibility, replicability, and readability. [–]beginner_ 2 points3 points4 points 1 year ago (0 children). Would someone with a Master's degree in data science even make as much in London as someone with a BS in data analytics in the US? -Research Methods (general modules on researching and ethics), Term 2: Please contact the moderators of this subreddit if you have any questions or concerns. I’m currently get my bachelors in DS at a very reputable university in the US and trying to see if it’ll be competitive on its own since I’m not sure if I should get/need a masters. No promotion. This Harvard Data Science Certification program will teach you key data science essentials, including R and machine learning using real-world case studies to kick start your data science career. What do you believe the true death rate of the Coronavirus is? Similarly, a data science masters from Harvard or a masters in business analytics from MIT is gonna open doors unthinkable to someone with a masters in statistics or CS from a no-name university. At the end of the day, master's programs are house in universities. I have had some projects on my GitHub, too, and it definitely helped in interviews and gave something to talk about. How quickly into the course did you realise you wanted to do a PhD? For me though value is not simply about the pay check (although this will be a great benefit) but rather that I would be in a role that provided the creative opportunities. Very few will be true DS jobs. Data Science is not an easy and quick job that can get things done magically fast. Are there any people who started off with data science with a non-computer science background after they started working but still managed to make a decent career in it? There are also social science internships I could pursue with basic SQL/Python work integrated, but I almost want to focus on acquiring the stats graduate background first so I actually have a stronger grasp of what I'm doing/pursuing. The Data Science master's program, jointly led by the Computer Science and Statistics faculties and administered through the Institute for Applied Computational Science (IACS), trains students in the rapidly growing field of data science.. Data Science lies at the intersection of statistical methodology, computational science, and a wide range of application domains. The application deadline is December 15, 2020. It was during my dissertation I did while working, I got lucky I suppose as I found a really interesting algorithm I enjoyed applying and saw the opportunity to take this further and consider other problems. No disagreement there. Would you recommend a MSc in statistics and data science or a MSc in AI? [–]osbornep[S] 1 point2 points3 points 1 year ago (1 child). [–][deleted] 44 points45 points46 points 1 year ago (8 children). -Neural Computing (continuation of machine learning) I've been looking for an answer and you've perspective has really lit a fire in me. And yet, here was a new role that defied all the expectations I had set for myself of my future career. The Masters opened up all the doors that I had previously been knocking on and even had recruiters contacting me directly following the projects I had posted publicly. I found a suitable role, defined my research topic and over the following months applied all the skills I had gained so far towards applying AI within business. Faculty Chairs: Matthew Blackwell, Kosuke Imai, & Gary King. Each module had 4 hours of lecture per week and a tutorial/lab sessions over 10 weeks (40 hours in total per module) and we were expected to complete approximately 60 hours of self study for each. Everyone is using R! When I went back to work after being home with kids I had just completed my MPH and I went to work on a research institute in a hospital. Luckily, my work will pay for 2 Harvard Extension courses per year, so I'm supplementing the courses with free online classes, books, and low-priced Udemy courses (they had a 90% off sale on some data science courses, not sure if that's still going on). Thank you so much for this post, I'd give you gold if I had. This post reinforces my confidence in the decision! In addition, some programs confer a master’s degree en route to the PhD (also known as a “continuing” master’s degree, or a master's in passing).. Ordinarily, students may receive only one master’s degree from GSAS. However, I also found that the traditional track I would be heading on if I moved onto the graduate scheme no longer interested me due to years of standardised exams and little to no creativity. insurance). " Unfortunately, boot camps were a costly risk that I was uncertain would pay off. - this enabled me to post my interesting projects online. In fact, in many cases, it's even better! By disseminating inspiring, informative, and intriguing articles and media materials, HDSR aspires to be a global forum on “everything data science and data science for everyone.”. ( I was not employed for 7 years prior being a SAHM so I do not consider my previous work experience as relevant), I think the value of the degree will depend on where you live too . You will make more money in this area in the US even if you include living costs. I chose Data Visualisations (a continuation of the first term’s module) and Software Agents (the basics of AI by applying Reinforcement Learning). However, the roles are there and the money is better than the path I was following previously as a more business analyst. As long as he or she is happy, then so be it. I'm mulling a DS or Stats master's currently primarily for health care research, [–]Vervain7 2 points3 points4 points 1 year ago (1 child). The Harvard Data Science Review will serve as a hub for high-quality work in the growing field of data science, noted by the Harvard Business Review as the "sexiest job of the 21st century." Applications to the Master of Science in Data Science degree programs for entry in Fall 2021 will be available in September of 2020. Also I was finding that I was being held back at work as I would build a prototype type and they would often be shelved as future ideas (3-5 years) for down the road. [–][deleted] 2 points3 points4 points 1 year ago (0 children). The HarvardX Data Science program prepares you with the necessary knowledge base and useful skills to tackle real-world data analysis challenges. Today, only three years later, the list of courses supported by universities makes this much more of a viable option and is something that is definitely worth considering but at the time these were lacking. My roles have been Junior research data analyst , research informatics analyst, data analyst - strategy, senior analyst - quality . As I started to look at other roles I realised that data science (at least in London) has been adopted heavily and is being applied to other roles such as being grouped with business analysts. What is the most effective way to transition to R from a background in Python/C? Why the fuck are you comparing no-name CS to literally the top university on the planet data science? But it didn't really help me in the stages pre-interview or to get noticed. This was the second year the course was offered at this university and, at the time, was the only university in London that offered a Data Science Masters (though others had some variations of this). I work in healthcare (hospitals) and have been employed since 2015 ... so that is 4 years . Can I PM you to ask you more about your experience and ask for some advice? Goldman is a good example of a new key player in organizations: the “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data. Was it Worth Studying a Data Science Masters? Just getting... interviews? Just trying to figure out how the two programs compare. The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. [–]lilgreggy32 0 points1 point2 points 1 year ago (0 children). Thanks for sharing! But perhaps this is based on the location. The Statistics department and the Computer Science area within the Harvard Paulson School of Engineering and Applied Sciences currently serve as the nexus of data science education at the undergraduate level. In the second term we had two core modules, Big Data and Neural Computing, and were given the choice of two optional modules. PhD will serve you best for healthcare research. No mention of salary. The Master of Science (SM) in Health Data Science is designed to provide rigorous quantitative training and essential statistical and computing skills needed to manage and analyze health science data to address important questions in public health and biomedical sciences. , Harvard University s – Guide to Choosing a program encouraging to hear stories like yours certificate. 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