https://www.reddit.com/r/datascience/comments/b9gs0n/was_it_worth_studying_a_data_science_masters_my/
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. The answer should really be: some data science master's are worth avoiding. 50. ruggerbear. • 5 yr. ago.

https://365datascience.com/career-advice/career-guides/data-science-vs-computer-science/
Data science combines data analysis, coding, data storytelling, and more. Courses across these disciplines should be enough to construct sufficient and practical training. You can incorporate math or statistics with computer science and social sciences like economics to create your data science degree.

https://www.reddit.com/r/csMajors/comments/mo0ox0/should_i_pursue_a_masters_in_data_science_or_in/
I was in your position about one year ago. I did pick Masters in data science even though I had a Bsc in computer science. My advice is that you go for masters in computer for more flexibility. It's the better thing to do. There are more entry level jobs and more opportunities in general for you that way. 34.

https://www.youtube.com/watch?v=VxOKSzKRB3w
Is it a good idea to go to USA, Canada or Europearn country for data science masters? In this video I will discuss pros and cons.Do you want to learn technol

https://tripleten.com/blog/posts/data-science-vs-computer-science
One of the main differences between data science and computer science is the end result, also known as deliverables. Data science is about uncovering information, while computer science is primarily about making things. You might make things as a data scientist too, but only to help you analyze data more effectively.

https://bootcamp.berkeley.edu/blog/data-science-degree-worth-it/
Master's Degree in Data Science. Time Commitment: ~2 years, depending on the learner's schedule and previous education. A master's in data science is valuable to those who want to become leaders in the field. Students dig deeper into how to study and harness accumulated data, including large, complex sets known as "Big Data."

https://ep.jhu.edu/news/masters-computer-science-vs-data-science/
A computer science program appeals to students who have an affinity to the science disciplines, specifically subjects that call for applied analytics and logic. In contrast, data science incorporates algorithms, database concepts, programming languages, and statistics. Whether contemplating a master's in data science or computer science, an

https://www.coursera.org/articles/is-a-masters-in-data-science-worth-it
The average total cost of a master's degree is $62,650, according to the Education Data Initiative, though degrees can range anywhere from $30,000 and $120,000 [ 5 ]. It takes around two years to earn a master's degree when you're able to attend full-time, though several online master's degrees in data science are optimized to take less

https://365datascience.com/career-advice/career-guides/data-scientist-usa/
The US Bureau of Labor Statistics ranks numerous data-related roles among the fastest-growing jobs from 2022-2032—with a substantial 34% increase for data scientists. And data science salaries continue to rise—the average annual salary saw a near \$35,000 increase between 2023 and 2024, according to Glassdoor.

https://www.topuniversities.com/university-rankings-articles/university-subject-rankings/computer-science-vs-data-science-which-degree-right-you
As the tech industry continues to grow, both degrees can help you build lucrative careers. According to Indeed, the average yearly salary for data scientists and software engineers in the US is US $120,103 and US $102,234 respectively. Relevant roles for computer science graduates may include: Software engineer. Information security analyst.

https://www.edx.org/resources/msc-data-science-vs-msc-computer-science
While computer science has traditionally been a popular graduate degree choice among technical students, data science has seen exponential growth as a field in recent years. So, which degree program should you choose for your master's degree? This article outlines the essential information you'll need to understand each degree, the difference between them, and the insights you'll need to

https://www.edx.org/resources/choosing-a-masters-degree-data-science-or-artificial-intelligence
Some universities offer master's degrees in data science and artificial intelligence in the form of degree tracks, while other universities offer entirely dedicated degree programs for each of these fields. You might be wondering what the difference between these two fields is, and how to decide which one best matches your career goals. Deciding which program to choose takes looking beyond

https://towardsdatascience.com/5-things-to-consider-in-a-data-science-masters-degree-48a84028959d
To summarize, here are the five things to consider in a Data Science Master's degree: Tuition School Location (even if remote) Duration of Program Type of Specializations - courses Capstone - immersion. I hope you found my article both interesting and useful. Please feel free to comment down below if you have researched Master's programs

https://www.reddit.com/r/careerguidance/comments/mo0p83/should_i_pursue_a_masters_in_data_science_or_in/
Do not go into significant debt for graduate school. Depending on whether you want more money or more free time while in the program, either find a CS job at a big company that pays for education after-hours or apply for grad school while also getting in touch with a professor you'd like to do research for.

https://tripleten.com/blog/posts/is-data-science-a-good-career-choice
Data scientists are some of the highest paid workers in tech. If we look at our Outcomes Report, we see that our Data Science Bootcamp grads earn the highest median salary. And just doing a quick search on Indeed, we find that the average base salary for data scientists is, as of the writing of this article, $123,696.

https://towardsdatascience.com/8-things-you-must-consider-before-committing-to-a-data-science-masters-degree-d7b22f6ee455
In recent years, the number of Data Science-related master's programs has exploded. According to FindAMasters.com [1], universities around the world currently offer a total of more than 3,500 master's degrees related to Data Science and AI. Clearly, there is a lot of demand, and universities are experts at tapping it.

https://www.usnews.com/best-colleges/rankings/computer-science/data-analytics-science
Computer Systems. Cybersecurity. Game/Simulation Development. Mobile/Web Applications. Programming Languages. Software Engineering. Theory. See the rankings data for the best undergraduate data

https://aigents.co/data-science-blog/career-blog/data-science-vs-computer-science-degree-what-you-should-know-before-choosing-a-study-program
In short, Computer Science, is the study of the theory and practice of how computers work, how they are built, and the magic that happens inside of them. It covers hardware, software, algorithms, networks, and so on. In short, Data Science, is centered around data (of corurse). It focusses on the analysis of big volumes of data to extract

https://www.reddit.com/r/datascience/comments/1bwsylt/data_science_masters_in_the_us_or_in_europe/
H1b is the work visa required to work in US after completing your masters. It will give you 3 years permit to work in the US and you can extend it for 3 more years. Right now the chances of getting H1b picked is 1 in 6. I don't see the number going down soon, they need to increase the H1b cap.

https://www.mastersportal.com/study-options/269779225/computer-sciences-united-states.html
Explore your Computer Sciences degree. Computer Sciences is the study of computers, focusing on algorithms, data analysis, automation, and computing theory. Specialisations include Software Engineering, Data Science, AI, Cybersecurity, and Computer Systems and Networks. The program teaches you in depth about computer systems, programming

https://programminginsider.com/top-10-computer-science-universities-in-the-usa-in-2024/
Criteria of Eligibility for Top Universities in the USA to Pursue a MS in Computer Science. You must meet the following criteria to study MS in Computer Science in the USA-Candidates must have a bachelor's degree in computer science, or a related field. The GPA should be 3 on a 4-point scale. The equivalent marks are usually 83-86%, with a

https://www.reddit.com/r/datascience/comments/10pf9ij/choosing_between_statistics_and_data_science/
Also, except maybe for deep learning 95% of modern stats curricula will set you up with enough knowledge to do just as good as any DS, maybe even MLE. You can learn how to make algorithms run anytime. Statistics will help you grasp why they work. Data science is temporary, mathematics are forever (in my heart lol).

https://www.reddit.com/r/datascience/comments/17sgkga/what_are_some_easytogetinto_masters_programs_in/
Tl;dr: I messed up in undergrad but still want to go to grad school (after working for a year or two in an entry-level role) for statistics, data science, predictive analytics/forecasting, AI/ML, or a closely related field, and since "beggars can't be choosers", I was hoping to get some input on relatively easy-to-get-into masters programs in the US.

https://www.reddit.com/r/datascience/comments/zw1hw1/what_are_some_good_phd_programs_in_the_us_for/
A PhD in industry it's necessary only if you are looking for a very research-y role in a big company. UMSI - University Michigan School of Information. Also look into their MADS program, Michigan Applied Data Science program. Probably depends on your area of research. But I'd imagine cal, UCB, Carnegie, MIT, Umich, Georgia tech, .etc.