The need for data scientists is greater than ever in today’s data-driven society. One of the most sought-after job pathways is data science, which blends computer science, statistics, and domain knowledge to glean insightful information from data. You’re in the right place if you’re thinking of getting an MS in Data Science in USA. The fundamentals of obtaining this advanced degree at one of the most well-liked nations for higher education will be covered in this tutorial.
MS in Data Science in USA Overview
| Duration | 1 – 2 years |
| Eligibility | A bachelor’s degree with a GPA of at least 3.0 out of 4.0 |
| Course Fee | 24,852 to 74,450 USD (20.67 to 62 lakhs INR) |
| Average Salary | 83,000 USD (69.04 lakhs INR) per year |
| Jobs Available | Data Scientist, Data Analyst, Machine Learning Scientist, Machine Learning Engineer |
| Types of Recruiting Organizations | NVIDIA, Adobe, OpenAI, Google, Meta, Gearset |
What is an MS in Data Science?
Finding insights through data exploration and inference is the main goal of data science. To tackle complicated issues, a competent data scientist needs to be proficient in both computer science and statistics. Enrolling in a postgraduate data science course will help you develop a broad range of abilities that will allow you to support businesses with their business plans by utilizing the always-changing data science domains, including artificial intelligence, big data, machine learning, and more.
Why Study MS in Data Science in the USA?
You have a good chance of getting a good job offer in the field if you have an MS in Data Science from a reputable US university. This is because there are many more Data Science job openings in the nation than the present workforce can fill, and these positions are only expected to grow over the coming years.
Many Data Science graduates are drawn to the US labor market by the high pay scales. Additionally, excellent compensation packages make it simple to recoup the costs of attending a US university to study the subject.
Eligibility
- Results of tests of English proficiency
- A recommendation letter written in the applicant’s favor
- SOP, or Statement of Purpose, for a Master of Science in Data Science
- A bachelor’s degree in any of the following fields: economics, computer science, engineering, or statistics
- Candidates must notify the university where they want to apply of their GRE results.
Popular Universities in the USA for MS in Data Science
- Yale University
- Cornell University
- Harvard University
- Stanford University
- Columbia University
- Princeton University
- University of Chicago
- University of Pennsylvania
- California Institute of Technology (Caltech)
- Massachusetts Institute of Technology (MIT)
Admission Requirements for Masters in Data Science in the USA
| University | GRE | TOEFL iBT |
| Stanford University | 328 | 105 |
| Harvard University | 292 | 120 |
| Yale University | 329 | 100 |
| University of Pennsylvania | Not required | 100 |
| John Hopkins University | 310 | 100 |
| University of California, Berkeley | 320 | 90 |
| Columbia University | 320 | 100 |
| University of Michigan – Ann Arbor | Not required | 84 |
| New York University | 326 | 110 |
| University of California, San Diego | Not required | 85 |
Cost of Studying MS in Data Science in USA
| College | Program | Annual Fee (USD) |
| New College of Florida | MS in Applied Data Science | 21,051 |
| City University of New York, New Yor | MS in Data Science | 17,100 |
| University of Minnesota | MS in Data Science | 16,368 |
| University of Maryland | Masters in Data Science and Analytics | 20,000 |
| University of Massachusetts | MS in Data Science | 36,960 |
Conclusion
Do you want to work as a data scientist? In the rapidly expanding field of data science, pursuing an MS in Data Science in USA might lead to fascinating opportunities. Important information such as eligibility, course costs, and leading universities that offer this advanced degree are covered in this guide. Discover how a master’s degree from a top US university can help you enter the field of data science.