MS in Data Science in the USA: A Detailed Guide
Did you know the U.S. job market for data scientists is projected to grow by 31% by 2029, leading to about 11.5 million new positions in data science and analytics by 2026? With job postings increasing by 37% annually, data science remains one of the most lucrative career paths. In this comprehensive blog, we have highlighted the significance and benefits of pursuing an MS in data science in the USA. Additionally, we provide other details to help you understand the well-rounded prospects of studying abroad.
Why Choose an MS in Data Science in the USA?
Pursuing an MS in data science in the USA presents a fantastic opportunity for students looking to gain expertise in this fast-evolving field. Renowned for its top-notch education and strong ties to the industry, the USA lays a solid groundwork for data science professionals around the globe.
Here is a list of reasons why you should opt to study in the USA for a data science program:
- Top-tier Universities with Specialized Curriculum: The US is home to globally recognized and renowned universities in the concentrated topic of data science, such as MIT, Stanford, UC Berkeley, and Carnegie Mellon. These universities offer up-to-date curricula, distinguished teaching, and top research facilities, which allow students to learn from experts and stay ahead of time.
- Robust Job Market and High Demand Across Industries: Data scientists are in huge demand across industries like technology, finance, healthcare, and retail. Graduates with expertise in machine learning, data analysis, and artificial intelligence find ample employment opportunities in this field. Major tech hubs like San Francisco, Seattle, New York, and Austin play a crucial when it comes to offering new job opportunities with attractive salaries and career growth for data scientists.
- Innovation and Cutting-Edge Research Opportunities: MS in data science in the USA typically concentrates on innovation and engages students in interactive research and hands-on experience. This discipline includes machine learning, artificial intelligence, and big data. The strong emphasis on research helps students to find themselves at the frontier of technological outgrowth. This approach also helps students to increasingly contribute to the fields that are becoming integral to the global industries.
- Access to Industry Connections and Training Experience: US universities collaborate with top global companies that provide their students with incredible internship opportunities, networking events, and real projects. Students gain the right type of exposure to experience on-the-job training that hones their technical and professional skills, making them appealing to employers.
- STEM Offer and OPT Transaction to International Students: Most data science programs in the USA have a STEM designation. The STEM designation allows international students to apply for an extension to their OPT work period for an additional three years. Decisively, extended time in the USA after graduation allows students to obtain crucial work experience. This work experience fits well in their long-term view of being educated and employed, providing more job opportunities.
Also Read: Advantages of Studying Abroad
Common Eligibility Criteria and Admission Requirements
To get admission to an MS in data science in the USA, students with a proven background in mathematics, programming, and statistics are preferred. Below are the common prerequisites for a successful application:
- Bachelor’s degree: A bachelor’s degree preferably in computer science, mathematics, engineering, or statistics.
- GRE Scores: Different programs have their prerequisites when it comes to GRE scores. Some may even waive it for you depending on certain circumstances.
- English Language Proficiency: International students are required to demonstrate their proficiency level in English with an exam (TOEFL or IELTS).
- Letters of Recommendation: Usually, two to three letters of recommendation that discuss or outline the nature of the applicant’s previous academic and professional work.
- Relevant Experience: Most institutions prefer applicants with prior experience in data science or analytics.
- Academic Record and Preparation: The chances of acceptance at top programs await their completion by developing impressive personal statements accompanying solid academic records.
Note: If you are still unsure about TOEFL vs. IELTS, you can look through our guide and decipher other key factors assisting you to choose the right test that aligns with your goals and requirements. Start your study abroad journey with thoughtful planning and support from Internshala to make informed educational choices today!
Top Universities in the USA for MS in Data Science
Many U.S. universities are recognized as leaders in data science education, such as MIT, Stanford, UC Berkeley, and Carnegie Mellon and many more. These institutions offer advanced research facilities, experienced faculty, and connections to industry leaders. Enrolling in one of these top universities in the USA for an MS in data science assures a top-quality education with some competitive advantage in the job market.
Here is a list of the best universities in the USA for an MS in data science:
| Ranking | University | Duration | Fees in USD ($) | Fees in INR (₹) |
| 01 | Massachusetts Institute of Technology (MIT) | 1 year | $65,600* – $91,250 *Summer tuition subsidy. | ₹53,13,600 – ₹73,91,250 |
| 02 | Stanford University | 2 years | $61095 | ₹50,09,790 |
| 03 | University of California—Berkeley | 2 years | $81,806 | ₹67,08,092 |
| 04 | Carnegie Mellon University | 1 year | $50,000 | ₹42,05,875 |
| 05 | University of Michigan—Ann Arbor | 1 year – 3 years | $47,838 | ₹40,24,012 |
| 06 | Harvard University | 1.5 year – 2 years | $95,436 | ₹80,27,837 |
| 07 | University of Washington | 2 years | $51,989 | ₹43,73,184 |
Cost of Living While Pursuing an MS in Data Science in the USA
With diverse cultural experiences and reputed universities, the United States is among the most sought-after international destinations for an MS in data science. With a good job market and ample growth opportunities, the US draws thousands of students annually. However, along with tuition fees, living expenses should weigh heavily on the minds of aspiring students.
While the general entry-level estimate of living expenses falls for most areas under $1,000 to $2,500 (₹82,000 – ₹2,04,000) outside the large metro cities, for metro cities like New York or San Francisco, it goes as high as $2,000 to $4,000 (₹1,64,000 – ₹3,28,000). This cost excludes tuition fees.
Here is the breakdown of the expected monthly living cost for pursuing an MS in data science in the USA:
| Expenses | Estimated Monthly Cost (USD) | Estimated Monthly Cost (₹) |
| Accommodation | $600 – $1,500 | ₹49,200 – ₹1,23,000 |
| Grocery | $200 – $400 | ₹16,400 – ₹32,800 |
| Transportation | $50 – $150 | ₹4,100 – ₹12,300 |
| Miscellaneous | $100 – $300 | ₹8,200 – ₹24,600 |
| Phone and Internet Services | $30 – $100 | ₹2,460 – ₹8,200 |
| Education (Miscellaneous) | $200 – $500 | ₹16,400 – ₹41,000 |
Also Read: Cost of Living in the USA
Scholarship Details for an MS in Data Science in the USA
To assist with financial needs, there are several scholarships available for international students who are pursuing masters such as the Fulbright Foreign Student Program, AAUW Fellowships, etc. These scholarships often cover a portion of fees or all tuition fees and can greatly reduce the financial burden of students studying in the United States.
Here is a list of scholarship details for an MS in data science in the USA:
| Sl no. | Scholarship | Eligibility | Benefits |
|---|---|---|---|
| 01 | Fulbright Foreign Student Program | International students with strong academic records and leadership potential. | Covers tuition, travel, and living expenses. |
| 02 | AAUW International Fellowships | Women pursuing graduate studies in the USA. | Up to $30,000 for tuition and living expenses. |
| 03 | Stanford Reliance Dhirubhai Fellowship | Indian students pursuing a graduate degree at Stanford. | Covers tuition and living costs. |
| 04 | Hubert H. Humphrey Fellowship Program | Mid-career professionals with leadership potential. | Full tuition, travel costs, and living expenses for one year of study. |
| 05 | National Science Foundation (NSF) Graduate Research Fellowship | Graduate students in STEM disciplines | Provides a stipend of $34,000 per year and a $12,000 cost-of-education allowance. |
| 06 | Gates Millennium Scholars Program | Minority students pursuing a degree in STEM fields. | Covers tuition, fees, and living expenses. |
Also Read: Indian Government Scholarships For Studying Abroad
Salary After an MS in Data Science in the USA
An MS in data science in the USA presents a wealth of career prospects, offering roles across diverse industries that empower graduates to secure high-paying positions while enhancing their expertise. Entry-level salaries typically start at around $80,000 and can rise to approximately $165,000 or more for experienced professionals.
Here is a list of salary prospects for different roles to help you understand your career opportunities better:
| Job Title | Average Salary (USD) | Average Salary (INR) |
| Data Scientist | $124,944 | ₹1,05,42,687 |
| Machine Learning Engineer | $112,806 | ₹95,18,491 |
| Data Analyst | $81,000 | ₹68,34,723 |
| Data Engineer | $102,864 | ₹86,79,592 |
| Business Intelligence Analyst | $92,000 | ₹77,62,895 |
| Data Consultant | $84,000 | ₹70,87,861 |
| Statistician | $135,000 | ₹1,13,91,205 |
| Data Architect | $99,000 | ₹83,53,550 |
| AI Engineer | $115,000 | ₹97,03,619 |
| Analytics Manager | $97,000 | ₹81,84,792 |
Conclusion
Pursuing an MS in data science in the USA is a strategic investment aimed at students keen on thriving in an ever-changing field. The effective combination of high-quality education, practical experience, and strong linkage with the industry bestows students with the skills and knowledge necessary to succeed. While this may appear to be a significant investment for some students, scholarships and financial aid are available to help ease the financial burden. With outstanding programs from top universities and a promising job market, an MS in data science empowers graduates to thrive in diverse, impactful roles with lucrative earning potential.
Ready to launch your career in data science? Check out our guide on Top Universities in the USA for MS to make an informed decision.
FAQs
Answer: The average cost of living for students in the USA usually falls between $1,000 and $2,000 each month, depending on the city. This amount typically includes expenses such as housing, food, transportation, and personal costs.
Answer: While it’s not a strict requirement, many U.S. programs tend to favor applicants with relevant work experience, particularly in competitive fields like data science, as it can enhance their applications.
Answer: International students have access to a variety of scholarships, including the Fulbright Program, AAUW Fellowships, and specific scholarships offered by universities that assist with tuition and living expenses.
