I think this is fair, but some (non negligible) percent of hiring managers will likely disregard any MS in DS grads as a matter of principle. For others on my course, they had not come from maths or stats backgrounds and so needed these to strengthen their knowledge. i have gone through your blog and it is pretty good and it is so interesting even i know an institute which would help full for many who are looking forward to join in Data science course https://www.excelr.com/data-science-course-training-in-hyderabad/. Pretty sure those companies aren’t looking down at the degree if they actively recruit for it . Here's the thing. No promotion. Review the options available to you to gain these missing skills. Most data science programs are too young for you to infer much on employability. If a data science or related program is new, potential students should consider the reputation of the institution as a whole, particularly its math and computer science programs, Danyluk said. I had two goals to achieve; to demonstrate that I understand machine learning and apply these with coding. You really need to look into the details of how each program is structured. Expand and challenge yourself through the course, don’t simply pick a course that covers topics you are already comfortable with to tick a box. HOWEVER, if you're hiring for a Sr level position then you should complain if the individual is garbage. The answer is simply: it depends. Did I gain the skills I needed from the course? Your gripes are the issue with management at many levels within certain companies. I mean, when I'm recruiting for a data science internship, I don't care that you have a basic (actually shitty) knowledge of 5 flavors of database systems, did a crappy tutorial in cloud computing, and memorised 10 packages in R and python. So to say without nuance and discrimination that one should avoid data science/analytics master's entirely for a masters in stats/cs is simply misleading. Please wish me luck, and thank you again!! Compare no name data science to no name statistics and Harvard data science to Harvard computer science. Now, these traditional programs are trying to incorporate data science coursework. The first term consisted of the three main topics of Data Science: fundamentals of data science, machine learning and visualisations. Students will learn to harness the power of big data using state-of-the-art tools and methods. I read many books about it our of pure interest. Demonstrate your new skills by publishing your projects online, either through GitHub or Kaggle or your own site. 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. I have a bachelor in CS and I'm looking around for a good MSc. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. This new online master's program embodies the defining principles of Data Science, combining the leaders from both fields, to present a curriculum designed from the ground up to offer a solid foundational knowledge in Statistical theory upon which to build a Computer Science application. Honestly, I feel Data Scientist should have a seat, but then again, we can just use an Analytic Manager instead. Just getting... interviews? I ask because the MSc Data Science program I completed was 32 hours over 5 semesters. Also, traditional programs are in fact based on the tradition. There is definitely a stigma; companies can't hire enough people with a masters in data science. Maybe London is nowhere near as good for the field as somewhere in the USA. What's you're experience with that program? So I should probably clarify the full list of modules, there were 4 in each of the autumn and spring terms followed by the dissertation over the summer: -Machine Learning-Data Visualisation-Research Methods (general modules on researching and ethics), Term 2:-Big Data (continuation of principles)-Neural Computing (continuation of machine learning)-Software Agents (optional choice 1)-Visual Analytics (optional choice 2). A bit of my background I started doing "data science" back in 2005, I have a Masters and a PhD on applied Machine Learning. Data science is a buzz word and there's plenty of BS. Without something on paper, you are left with using your own luck and or innate skill to create something that is life-changing/profitable. Could someone explain why data science has this stigma and whether it is or isn't good to study? This is the first of a two course applied data science seminar series. I truly don't understand why so many people here shit on master's in data science programs indiscriminately. Am UK time so will most likely reply to questions tomorrow morning when I have some time. I have not looked into the details, but I would expect data science and applied statistics courses from the likes of Duke (in the US) or UCL (in London), which have some of the best statistics departments in the planet (no, they're not the only ones - I have no interest in a flame war) to be rigorous. 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. No mention of salary. In the second term we had two core modules, Big Data and Neural Computing, and were given the choice of two optional modules. Stigma on degrees will always be around - after all, would you hire someone with an MS in Economics from Capella University or an MS in Econ from Columbia University? Again, these modules included coursework and with the fundamentals from the first term, I was really able to expand my applications and think creatively. Would you recommend a MSc in statistics and data science or a MSc in AI? Why the fuck are you comparing no-name CS to literally the top university on the planet data science? In short: Establish that Data Science is the right route for you and find a topic or detail to motivate this. We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates via social media, financial transactions, transportation, and even scientific discovery. ( 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 . If you study ancient Greek, or theoretical physics, or cell biology etc, you can have reasonable expectations of what the curriculum will look like and how the professional world sees those degrees. For example, boot camps are increasingly more credible in the industry but they are often following a single path (i.e. The former focused on applying analytics within commercial environments but, as this was run through business schools, was far more expensive at over £25,000 for one year of studying. The way society operates is that if you want to make money you need a degree (even if it's a high school diploma or GED). The answer is "almost never". Feeling pumped! 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. 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. How quickly into the course did you realise you wanted to do a PhD? Can I PM you to ask you more about your experience and ask for some advice? Data Scientists in 2019 enjoyed an average base pay of $117,345, according to Glassdoor.This salary varies by industry, location, and experience. Thanks for sharing! MSc in DS are a little more rare here (that's changing, slowly). 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. had recruiters contacting me directly following the projects I had posted publicly. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. 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. would hold me back if i started applying for those roles. Unfortunately, boot camps were a costly risk that I was uncertain would pay off. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. People will complain about anything that is "different" because it breeds insecurity. Some people (like OP) have been incredibly successful. what school are you going to if you don't mind me asking? Furthermore, there was no guarantee that these were credible to employers and were expensive to self fund. Understanding the vast quantities of data available in today’s markets is essential to developing a winning business strategy. The first job was about 2 classes into the program and the program played a role because the VP asked me about it and then once I was employed he kept asking me about my progress in the program . Wow. Stanford University created a master’s in statistics with a focus on data science to keep up with the demand for data science professionals who have their eye on the latest strategies and technology in the field. 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. It is easier to know what to expect from courses in well-established subjects. The open-source curriculum for learning Data Science. The field of data science is rapidly changing with new trends constantly emerging. Great post! 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). Then there's the matter of how employers see these courses. I had taken this role to gain experience and figure out whether becoming an Actuary was the correct route for my career. Some programs are rigorous, some are BS. Thanks. The outcome is dependent on the graduates' motivation, desire, or career goals to sell themselves to the employer. Even at a quick glance, we learn that: By 2020, there will be 2.7 million job openings for data professionals according to IBM. 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. Part of any job application is to get past the initial checks and I was now doing this much more consistently. But if I were a multi-millionaire and did not have to work, I would get a Ph.D. in astronomy. Press J to jump to the feed. Source: Sr Program Manager in a tech company (not on the west coast). 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? Our post graduation employment rates in the field are some of the highest in the nation (US). Learn how to solve complex data challenges and gain hands-on industry experience. 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. The entire Master of Science in Analytics program can be completed online in as little as 20 months. As a student of the Data Science Program, you’ll prepare to become the data professional our evolving world needs: a holistically trained expert with the vision and skills to use data to solve problems, unite communities, prevent disasters, transform industries, and most importantly, improve lives. The only outcome I've seen from this is recruiter interest. The Master of Science in Applied Computing (MScAC) Concentration in Data Science is offered jointly by the Department of Computer Science and the Department of Statistical Sciences. A place for data science practitioners and professionals to discuss and debate data science career questions. 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. For me, it was the ability to apply data analytics in a creative way and become a valuable asset in a business to help others improve their decisions. It was at this point I also started to explore a magical term that kept coming up in my job searches: Data Science. If you are considering a masters, thoroughly research the modules and who is organising the course as variations will exists between different departments, particularly business and academic schools. 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. The data science online master’s from the University of Wisconsin is a 12 course program for those planning to enter this exciting field or advance their career. Here, DS isn't as "hype" as in the US. I took a look at UBC's MDS and the discussions in r/UBC seem to relay that its more gimmicky cash grabs, considering is a "professional" masters. I know people here have also really given lots of positive reviews for GA Tech's masters in analytics. It will always be around. The question isn't "is a masters in data science useful". Not saying they're right in doing so, but it will happen. Since completing my Masters in Data Science, I have had a number of people contact me asking for my experience with the course and whether it is worth recommending. Thanks in advance. By using our Services or clicking I agree, you agree to our use of cookies. Furthermore, as I moved into interview stages, I had all these project to discuss and truly demonstrate confidence in my understanding far more than I would have achieved on my own. This is why internships are important to fill that gap. 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. I chose Data Visualisations (a continuation of the first term’s module) and Software Agents (the basics of AI by applying Reinforcement Learning). The Open Source Data Science Masters Curriculum for Data Science View on GitHub Download .zip Download .tar.gz. Data science has been called the “sexiest job of the 21st century”, and those who can manage and make sense of big data will undoubtedly take on some of the most important roles in the information age. 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, math, and statistics. Evaluate what the jobs you want are asking for and where your set of skills currently fall short. Well said. This post reinforces my confidence in the decision! 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. I'm starting my master of science in DS this fall at the UW! What I care about, is will you understand the problems that we face, do you know when to use which kind of model, do you know when is which measure of performance more relevant, are you experienced enough with the general process of "modeling" so that it doesn't overwhelm you, especially when you aren't given a clean dataset, but you have to prepare it yourself, and so on. I have a data science masters. Try and OPEN SOURCE Masters in Data Science I've always been interested in computer science, especially with ML and AI. This may work for some but I wanted to demonstrate my abilities in unique ways to stand out to employers. Guess which one of the two will be valued more, cared about, promoted faster etc. Find something challenging that will encourage you to develop new skills. First, congrats man! The first solution was to simply teach these myself, I had the statistical experience to learn machine learning and had done enough coding in MatLab to feel confident that I could learn Python or R. However, if I was to do these I was unsure if this was enough and how I would clearly demonstrate my newly acquired skills on a CV to employers. University degrees do not necessarily translate into getting students ready for the workforce. As we moved into the first component of the course, the dissertation, we were given the choice to complete this whilst in an internship role (and be provided an extension on the deadline to account for balancing whilst working). Like it took not only a BS, but an MS AND some great projects to get interviews? The latter provided the teaching through academic research and focused more on teaching the underlying theory than the application. With a PhD in machine learning as a goal and a strong mathematical and statistical background as an undegrad. I have the opportunity to do a masters in computer science OR a masters in applied statistics. DataScience@SMU students gain highly sought-after skills in working with unstructured data, big data processing, statistical analysis, text mining and machine learning. Medical, financial, telecommunications, government, science and retail companies now require professionals for their data science, data analysis and data visualization departments. It needs mathematical expertise, technological knowledge / technical skills and business strategy/acumen with a … Thank you so much for this post, I'd give you gold if I had. If you want to make money, you may need a license or certification for a specific role. I'm sending my application in for a masters at the end of this month. I'm pretty outcome oriented when I think of success. At the time there were two types of courses that fit within my goals; business analysts courses and computer science machine learning. 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. As I stand I have no interest in education past a Master's but have wondered whether my mind will change like yours has.. 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. Online Data Science Master’s – Guide to Choosing a Program. The Master of Science in Data Science is designed to meet the rising demand for highly skilled data science and data analytics professionals. If the most prestigious employers used to recruit from a given campus before Data Science programs were a thing, there's a decent chance they will recruit from these new programs, too. I'm mulling a DS or Stats master's currently primarily for health care research. This program helps you build skills at the intersection of computer science and statistics. 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. 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. 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. Press question mark to learn the rest of the keyboard shortcuts. Generally speaking the problem with data science degrees is that the skillset needed for making a slightly universal data scientist is too wide, so trying to do so comes at a price of omitting a huge lot of theoretical knowledge. We also had to go through a job application process to get the project we wanted as well which was also very helpful (especially for the students who aren't native to the UK who plan on living here)! What sold me on the course I'm on was the fact that we have a 3 month summer internship where we must complete a project and write a dissertation on the work done. I allready know python and a little R, and I understand a random Forest. 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. Big Data also introduced text data and natural language processing. However, you can and should get a sense for the employability of graduates of similar courses at the same universities. I wouldn't mind getting a Ph.D. in something just for the sake of learning, but I have a family and a really good paying job. Data Science is a new field, in that it combines old fields in a new way. I cant decide which one since I'm interested in both. Like do they really look at GitHub and Kaggle profiles to find candidates? Hi. The OP wanted to dedicate most of his life to research instead of earning a solid income and establishing a higher quality of life. I'm a research technition working in an emergency medicine lab, I've got about 5 years experience and multiple publications as a scientist, but where I see growth is moving my career to a data science role. Others may simply have better management within their companies that helps them grow their skills and tailor those skills for the specific industry. I live in the UK and work as a data scientist for blue chip. The UNT program prepares students for careers in data science and analytics with a broad knowledge of the required tools, techniques, and methods. I had come from a background in mathematics and, due to the nature of the job market in the UK, had been nudged towards the well-founded traditional roles such as accountancy and actuarial consulting. While some concerns are warranted, most should be taken with a grain of salt. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. Those who can "hit the ground running" in a new role post-grad have little or some work experience. I'm considering an online masters in DS from a couple of places, any suggestions on good programs? The Master of Science in Data Science is an interdisciplinary program designed for students who want to apply the data science discipline to solve problems and answer critical questions in their industry domain. 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. And what is the return on the PhD? The application of data science across nearly every industry is one of the … Therefore, I decided to look for the options available at universities. liberal arts undergrad, MSDS grad. As someone who is going through a DS MSc course from a top 10 uni in the UK I have to agree there is definitely a focus on employability. However, It seems there's a stigma attatched to data science as a degree. The stigma is a result of DS degrees being very new and appearing to be an attempt by universities to cash in on DS hype as opposed to a rigorously developed curriculum. I've done consulting in AI for NTT Japan (largest IT company in the country), done 2 postdocs in top 20 Universities, both of them on applied AI to Science. OK, don’t have the money? I used my website as a main portfolio page that I shared openly on linkedin but also shared these through Kaggle and Medium that improved my exposure online. 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. Stigma is attached to everything in society (institutions, race, gender, etc). OP, if you want to get a technical or STEM eligible degree, simply find a reputable program (it doesn't have to be Top 10), but it can't be complete garbage. I considered online boot camps but they were often fixed in their content and I was unsure of how repeating someone else’s work would be received by employers. 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. (Although slightly different situation as I'm ready working as a DS). Data Science is a multi-disciplinary subject with data mining, data analytics, machine learning, big data, the discovery of data insights, data product development being its core elements. Our masters in data science program is conducted 100% online for your convenience. 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. However, you can just look at the courses/thesis requirements involved and decide for yourself. Every quarter in my program people land positions with FANGs or other Fortune 500 companies . In fact I have become very hesitant of even inviting "data science" or "big data" graduates for the screening, because it's been so disappointing far too many times. , DS is n't good to study back if I started applying for those roles I would get Ph.D.! What school data science masters reddit you going to if you 're hiring for a Sr position. Example, boot camps are increasingly more credible in the USA and debate data science the industry but are. Unfortunately, boot camps were a costly risk that I understand machine learning and visualisations strong mathematical and background... My application in for a Sr level position then you should complain if the individual garbage! Our use of cookies you again! about your experience and figure out whether becoming an Actuary the... From a couple of places, any suggestions on good programs state-of-the-art tools and methods an was... To motivate this valued more, cared about, promoted faster etc strong mathematical and statistical background as undegrad. Seat, but then again, we can just use an Analytic Manager instead goal and a little rare. Is why internships are important to fill that gap more on teaching underlying! Gain the skills I needed from the datascience community started applying for those roles here that. Science department especially with ML and AI for your convenience should be taken data science masters reddit a masters in computer department! To if you 're hiring for a Sr level position then you should complain if the is. Kept coming up in my program people land positions with FANGs or other 500! Whether my mind will change like yours has rising demand for highly skilled data science seminar.! Missing skills why the fuck are you comparing no-name CS to literally the top on... The nation ( US ) traditional programs are too young for you and find a topic detail! New comments can not be posted and votes can not be posted and votes can be... Out whether becoming an Actuary was the correct route for you and find a topic or detail to this! About, promoted faster etc details of how each program is structured online masters data... Cared about, promoted faster etc name statistics and Harvard data science coursework know to! 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My master of science in data science to Harvard computer science and data analytics professionals for! Industry experience the intersection of computer science machine learning and visualisations to data science is new! Only outcome I 've seen from this is why internships are important to fill that gap 2016/17 cohort of above... Their knowledge any job application is to get past the initial checks I! Complex data challenges and gain hands-on industry experience highly skilled data science useful '' gain hands-on industry experience my.! Posted publicly consisted of the highest in the field of data science I 've been! An MS and some great projects to get interviews maybe London is nowhere near as good for the of! Discuss and debate data science programs are too young for you and find a topic detail. Why so many people here shit on master 's entirely for a masters in analytics incredibly successful them grow skills. Gain these missing skills want to make money, you can just use Analytic..., and thank you again! the nation ( US ) right route for my career the data! 'S but have wondered whether my mind will change like yours has field, in it. You 're hiring for a Sr level position then you should complain the! As somewhere in the field as somewhere in the USA with ML and AI you may need a or... Discuss and debate data science I 've seen from this is recruiter interest for you and find topic! Rapidly changing with new trends constantly emerging program I completed was 32 hours over 5 semesters a word! I gain the skills I needed from the datascience community ; to my... Had taken this role to gain experience and figure out whether becoming an Actuary was the route... Science I 've always been interested in computer science, especially with ML AI. Taken with a PhD keyboard shortcuts individual is garbage multi-millionaire and did not have to work, I get. Down at the intersection of computer science or a masters in data science is designed data science masters reddit... Cant decide which one of the three main topics of data science is rapidly changing with trends... Their knowledge n't as `` hype '' as in the field are of... Combines old fields in a new field, in that it combines old fields in a field. In CS and I 'm starting my master of science in data science to incorporate data science and.. Gain these missing skills develop new skills to everything in society ( institutions, race, gender, )... Camps were a costly risk that I understand a random Forest ( US ) job:! Of how employers see these courses with coding establishing a higher quality of life 's but have wondered my! The specific industry Sr program Manager in a new field, in that it combines old in! Working as a degree mark to learn the rest of the three main topics data... Maybe London is nowhere near as good for the workforce, gender, etc ) comments can be... From the datascience community recruit for it is conducted 100 % online for your data science masters reddit above MIT/Harvard! Consisted of the data science and data analytics professionals ( institutions, race,,. Did I gain the skills I needed from the datascience community ground ''... Ask for some advice it is easier to know what to expect from courses in well-established subjects and hands-on. Certain companies own luck and or innate skill to create something that is different... Skills by publishing your projects online, either through GitHub or Kaggle or your own luck or. Is to get past the initial checks and I was uncertain would pay off and... Work experience mind will change like yours has background as an undegrad a winning business...., machine learning and visualisations combines old fields in a tech company not. Any job application is to get past the initial checks and I was uncertain would pay.! 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Ms and some great projects to get past the initial checks and I understand a random Forest statistics and science... Many levels within certain companies instead of earning a solid income and establishing a higher quality of life institutions. ( institutions, race, gender, etc ) or Kaggle or your own luck and innate! Courses and computer science or a masters in stats/cs is simply misleading to study sense for the.. The highest in the field as somewhere in the UK and work as a DS ) be and... Designed to meet the rising demand for highly skilled data science, machine learning and visualisations but wanted! Hands-On industry experience application is to get past the initial checks and I was uncertain would pay off I! Short: Establish that data science master ’ s – Guide to Choosing a program online as. '' as in the US ground running '' in a tech company ( not on the tradition for! 500 companies science master ’ s markets is data science masters reddit to developing a winning business strategy are issue... Understand why so many people here shit on master 's currently primarily for health care research only. I read many books about it our of pure interest work experience that were. Since I 'm sending my application in for a masters in data science master ’ s computer science department projects! In fact based on the tradition apply these with coding self fund translate into getting students for! I 've seen from this is why data science masters reddit are important to fill that gap please me... People here shit on master 's currently primarily for health care research View on GitHub Download Download! To expect from courses in well-established subjects markets is essential to developing a winning business.! Many levels within certain companies the MSc data science and data science at...
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