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Pursuing a master's degree in data science in the USA offers endless opportunities in the world of big data and analytics. With access to cutting-edge technology, renowned faculty, and diverse research opportunities, students can gain the skills and knowledge needed to excel in this rapidly evolving field. The USA has some of the top universities and tech hubs, providing a vibrant environment for innovation and career growth.

Top universities for master’s in data science in USA

Here are the top 10 universities in USA according to the QS World University Ranking 2025, you can consider studying MS in data science at one of the below universities:

University

QS World Ranking 2025

Massachusetts Institute of Technology (MIT)

1

Carnegie Mellon University

2

University of California, Berkeley (UCB)

3

Harvard University

5

University of Washington

12

Georgia Institute of Technology

13

University of Illinois at Urbana-Champaign

14

Princeton University

15

Cornell University

16

New York University (NYU)

17

Explore more: What are the universities which accepts IELTS for USA?

Cost of studying master’s in data science in USA

The cost of studying for a master’s in data science in USA can vary significantly depending on the university and location. On average, the tuition fees range from $30,000 to $60,000 per year.

Breakdown of costs:

1. Tuition fees:

  • Average per year: $30,000 - $60,000 (INR 24,00,000 - INR 48,00,000)

2. Living expenses:

  • Average per year: $15,000 - $25,000 (INR 12,00,000 - INR 20,00,000)

Total estimated costs for 2 years:

1. Tuition fees:

  • Total for 2 years: $60,000 - $120,000 (INR 48,00,000 - INR 96,00,000)

2. Living expenses:

  • Total for 2 years: $30,000 - $50,000 (INR 24,00,000 - INR 40,00,000)

Grand total (for 2 years):

  • Total estimated cost: $90,000 - $170,000 (INR 72,00,000 - INR 1,36,00,000)

Note: Please note that these figures are approximate and can vary based on the specific university, location, and personal lifestyle. Additionally, scholarships and financial aid options can help reduce the overall cost.

Explore more: Most affordable universities in USA

Eligibility requirements for master’s in data science course in USA

To apply for a master’s in data science in USA, you typically need to meet the following eligibility requirements:

Educational background

  1. Bachelor’s degree: A bachelor's degree from a recognised institution, usually in a related field such as Computer Science, Mathematics, Statistics, Engineering, or other STEM fields. Some programs may accept students from non-STEM backgrounds if they have relevant work experience or coursework.

  2. GPA: A minimum GPA requirement, often around 3.0 on a 4.0 scale. Some competitive programs might require a higher GPA.

Standardised tests

  1. GRE scores: Many programs require GRE scores, though some schools have made it optional. Aim for competitive scores, particularly in the quantitative section.

  2. English proficiency tests: For international students, proof of English proficiency is required. This is demonstrated through IELTS scores. Minimum score requirements can vary but generally are around the 6.5-7.0 band score.

Documents required for application:

  1. Transcripts: Official academic transcripts from all previously attended institutions.

  2. Letters of Recommendation (LOR): Usually, 2-3 letters from professors or professional supervisors who can attest to your academic and professional capabilities.

  3. Statement of Purpose (SOP): A written essay outlining your motivations, career goals, and reasons for choosing the specific program.

  4. Resume/CV: A detailed resume or CV highlighting your educational background, work experience, skills, and any relevant projects or publications.

Additional requirements

  1. Interview: Some programs may require an interview, either in person or via video call.

  2. Portfolio or work samples: A few programs might ask for a portfolio showcasing your previous work, particularly if you have relevant projects or research experience.

Note: It's important to check the specific requirements of each university and program you are interested in, as they can vary.

Jobs after studying master’s in data science courses in USA

Here are some of the top jobs you can get after completing your master’s in data science course in USA:

  • Data Scientist

  • Machine Learning Engineer

  • Data Analyst

  • Business Intelligence Analyst

  • Data Engineer

  • Research Scientist

  • AI Engineer

  • Big Data Engineer

  • Quantitative Analyst

  • Data Architect

Why study master’s in data science in USA?

Studying for a master's in data science in USA offers numerous advantages, making it a popular destination among students worldwide. Here are some key reasons:

1. Top-quality education

  • Renowned universities: The USA is home to some of the best universities globally, offering cutting-edge programs in data science.

  • Innovative curriculum: Programs are designed to keep pace with the latest industry trends and technological advancements.

2. Research opportunities

  • Access to resources: Students have access to extensive research facilities and resources, enabling them to work on great projects.

  • Collaboration with industry: Many programs offer partnerships with leading tech companies, providing opportunities for real-world application and collaboration.

3. Career prospects

  • High demand: Data scientists are in high demand across various industries, including tech, finance, healthcare, and more.

  • Lucrative salaries: Graduates often secure well-paying jobs with excellent career growth potential.

4. Networking opportunities

  • Industry connections: Studying in the USA provides ample opportunities to network with professionals, attend conferences, and engage with industry leaders.

  • Alumni networks: Strong alumni networks can offer support and mentorship, aiding in career advancement.

5. Practical experience

  • Internships and co-ops: Many programs include internships or co-op opportunities, allowing students to gain practical experience and enhance their resumes.

  • Hands-on projects: The curriculum often involves hands-on projects, giving students real-world experience in data analysis, machine learning, and more.

If you are also interested in studying master’s in data science in USA then it is recommended to take an IELTS test first to start your journey. If you want to know more about the IELTS then get in touch with your nearest IDP IELTS test centre. Our team of IELTS experts will answer all your questions.

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