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Masters in Data Science USA: Top Universities & Fees

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The United States is home to five of the world’s most competitive universities offering comprehensive Master’s programs in Data Science. 

At the University of Michigan, the program has a 95% graduation rate and strong post-graduation employment outcomes and the Carnegie Mellon University provides a 1.3-year Master of Computational Data Science (144 credit hours), among the most prestigious, with specializations in Systems, Analytics, and Human-Centered Data Science. 

This blog highlights the top U.S. universities for Data Science, including a detailed look at tuition fees to help prospective students make informed decisions to study in the US.

Now, let's discuss the basic details about Masters in Data Science USA before discussing them further. 

Masters in Data Science USA: Overview

A Master’s in Data Science in the USA typically spans 1.5 to 2 years, depending on the university and curriculum structure. Programs are available across key intakes in the Fall (August/September) and Spring (January), giving students flexible entry points. 

Most degrees are awarded as a Master of Science (MS), although some top universities, such as Harvard, may offer equivalent options, such as the Master of Liberal Arts in Data Science.

Here's a detailed overview of Masters in Data Science USA:

Criteria Details
Course Duration 1.5 to 2 years (varies by program)
Intakes
Course Level
  • Master of Science (MS/ M.Sc.)
  • Professional Science Master's (PSM)
  • Master of Computer Science – Data Science (MCS-DS)
  • MIDS (Master of Information and Data Science)
Top Universities
Average Tuition Fees $12,000 to $75,000 (INR 10.3L-64.1L) per year 
Entrance Exams
  • GRE (optional at some universities)
  • TOEFL/IELTS (for international students)
Eligibility Criteria
  • Bachelor’s in CS, Math, Stats, or related fields (min GPA 3.0/4.0)
  • Prerequisite coursework (calculus, programming)

 

Career Opportunities
  • Data Scientist
  • ML Engineer
  • Business Analyst
  • Data Architect 
  • Data Engineer
Popular Specializations
  • Data Analysis
  • Machine Learning
  • Business Intelligence
  • Data Mining
  • Big Data Analysis

Next, let’s look into the advantages of pursuing a data science course in the USA.

Why Pursue Masters in Data Science USA?

The USA remains a top destination for data science education, offering flexible, future-focused programs customized to evolving industry needs. 

Universities like the University of Pittsburgh and Eastern University offer fully online and accessible master's programs. It also supports self-paced learning with training in coding, statistics, machine learning, and ethical data use, often at an affordable cost of $9,900 (INR 8.5L).

Here are some key benefits of pursuing Masters in Data Science USA:

  • Launchpad to a Data-Driven Career with High Earning Potential: Graduates with a master’s in data science often command salaries 15% or more above those holding only a bachelor’s degree. Some earn well over $150,000 (INR 128.2L) annually. 
  • Unique Interdisciplinary & Applied Training: Programs like the University of Michigan's MS in Survey and Data Science fuse statistical modeling, computational skills, and hands‑on learningCarnegie Mellon emphasizes domain fluency, ensuring graduates build strong technical foundations.
  • Access to Elite Faculty and Research Opportunities: University of Michigan students engage with world-renowned experts at the Institute for Social Research, benefiting from a nearly 100% job placement rate
  • Real-World Project & Networking Experience: Michigan offers internships with organizations like Pew Research, Survey Monkey, and others, along with funded assistantships that enrich learning and defray costs. 
  • Versatile Career Paths Across Industries: Michigan alumni pursue diverse roles such as data scientists in academia, social media, government, and global agencies like the World Bank. 

Also read: What is Data Science: Courses, Duration, Fees, Careers

Now, let’s discuss Master's in Data Science USA. Here are some of the top universities that offer them on a full-time and part-time basis. 

Top Universities Offering Masters in Data Science USA

Top schools, such as Carnegie Mellon and Stanford, offer elite data science programs. CMU’s 16-month MS in Computational Data Science costs $50,000 (INR 42.8L), with a Fall deadline of Dec 11. Stanford’s two-year MS in Statistics Data Science Track costs $1,514 (INR 1.3L) per unit, with applications due by Dec 1, 2025.

Below is a breakdown of the top universities offering Masters in Data Science USA:

University Program Semester Tuition Fees (Approx.) Duration & Deadline (2025)
Harvard University Master of Liberal Arts (ALM) in Data Science $41,280 (INR 35.3L) (total program) 2–5 years (Fall/Spring/Summer intakes) (Closed)
MIT MicroMasters in Statistics and Data Science Each course is $1,350 (INR 1.2L) 18 months (Rolling admissions)
Stanford University MS in Statistics – Data Science Track $1,514 (INR 1.3L) per unit 2 years (Dec 1 deadline)
UC Berkeley Master of Information and Data Science (MIDS) $82,079 (INR 70.2L) (total program) 12–20 months (Jan/Sep deadlines) (Closed)
Carnegie Mellon University MS in Computational Data Science $50,000 (INR 42.8L) ($25,000/ INR 21.4L per semester) 16 months (Dec 11 deadline for Fall)
Columbia University MS in Data Science $36,728 (INR 31.5L) per semester 1 year (Feb 15 deadline)
University of Washington MS in Data Science

$53,325 (INR 45.6L) (total program)

 

1.5–2 years (Dec 15 deadline)
UT Austin Online MS in Data Science $10,000 (INR 8.6L) (total program) 2 years (Flexible deadlines)

Note: Currency conversions are approximate and based on the current exchange rate.

Next, let’s take a closer look at popular universities for studying Masters in Data Science USA

Popular Universities for Masters in Data Science USA

The University of Michigan and Purdue University are standout choices for aspiring data scientists. Michigan’s online Master of Applied Data Science (MADS) costs $42,066 (INR 3L) and offers flexible completion in 12 to 36 months, with a Fall deadline of Jan 15. 

Purdue’s MS in Data Science costs $933.33 (INR 79.8K) per credit hour and takes 1.5 to 2 years, with applications due by Dec 1.

Below is a breakdown of the popular universities offering Masters in Data Science USA:

University Program Semester Tuition Fees (Approx.) Duration & Deadline (2025)
University of Illinois Urbana-Champaign MCS Computer Science in Data Science $24,128 (INR 20.6L) (Total program) 1.5-2 years (Dec 15 deadline for Fall)
University of Michigan, Ann Arbor Master of Applied Data Science (MADS) $42,066 (INR 36L) (Total program) 12-36 months (Jan 15 deadline for Fall)
Purdue University MS in Data Science

$933.33 (INR 79.8K) 

per credit hour

1.5-2 years (Dec 1 deadline for Fall)
Northwestern University MS in Machine Learning & Data Science $22,973 (INR 9.6L)  per quarter 15 months (Jan 15 deadline for Fall)
University of California, Irvine MS in Data Science $41,832 (INR 35.8L)  (Total program) 15 months (Jan 15 deadline for Fall)

Now, let's understand the admission requirements for different Masters in Data Science USA. 

 Eligibility Criteria for Masters in Data Science USA

To apply for a Master’s in Data Science in the USA, candidates typically need a bachelor’s degree from an accredited institution, with a strong foundation in quantitative subjects like calculus, linear algebra, and statistics

English proficiency is also essential, Stanford requires a minimum TOEFL iBT score of 100 and does not accept IELTS, while MIT accepts either a TOEFL score of 100 or an IELTS score of 7.0.

Below is a detailed breakdown of the eligibility criteria for pursuing Masters in Data Science USA:

Criteria Sub-Criteria Details
Academic Requirements Degree Qualification
  • Bachelor’s degree (or international equivalent) from an accredited institution.
  • Strong quantitative background (calculus, linear algebra, statistics) recommended.
  Prerequisite Courses
  • MIT’s DEDP requires completion of their MicroMasters credential (5 courses).
  • Stanford recommends advanced economics coursework for PhD-track applicants.
Standardized Tests GRE
  • Stanford’s PhD program requires the GRE (evaluated holistically).
  • MIT’s DEDP waives GRE but requires MicroMasters performance.
  GMAT
  • Not accepted for economics programs at Stanford or MIT.
English Language Proficiency TOEFL/IELTS
  • Stanford: TOEFL iBT (minimum 100) required for non-native English speakers. IELTS not accepted.
  • MIT: TOEFL (100) or IELTS (7.0) accepted.
  Waivers
  • Exemptions for applicants with degrees from English-medium institutions (e.g., 4+ years in the U.S. for MIT).
Visa Requirements I-20/F-1 Visa
  • International students must provide financial proof for I-20 issuance.
  • MIT’s DEDP is not eligible for STEM OPT extension.
Miscellaneous Requirements Application Materials
  • Stanford: Writing sample (10 pages), coursework spreadsheet, 3 recommendation letters.
  • MIT DEDP: Research statement (2 pages).

Now that you have covered the eligibility criteria for enrollment in Masters in Data Science USA, let's understand the application process to apply for these programs. 

Application Process for Masters in Data Science USA

Start early; most applications open in September and close by early December of each year. Make sure you meet all prerequisites, and submit a polished well-built resume, a strong personal statement, and quality recommendations (e.g., MIT Sloan requires two academic and one professional).

Here's a step-by-step application process to apply for Masters in Data Science USA; 

Step 1. Prepare Ahead of Deadline

Online submissions open mid-September; applications for autumn entry (next academic year) are due by December 3, 2025. Most master’s programs open in early fall, with deadlines typically at the end of the fall semester.

Step 2. Confirm Eligibility

Both schools require a bachelor’s degree (or international equivalent) before enrollment. Stanford’s MS in Data Science requires prerequisites in linear algebra, multivariate calculus, probability/statistics, and a programming language. 

Step 3. Create Application Account

Applications begin with creating an account via "Apply Now" (available mid-September). Use the online portal (GradSlate or SloanSlate); one can apply to multiple departments but must submit separate applications.

Step 4. Compile Application Materials

  • Expect to submit:
    • Transcripts, resume/CV
    • Test scores: TOEFL/GRE as required
    • Personal statements/essays
    • Letters of recommendation
    • Portfolio or writing samples if applicable.

Stanford requires documents, a letter of recommendation, and self-reported ETS scores by the deadline. MIT expects all materials submitted online with payment confirmation .

Step 5. Submit & Track Application

Finalize and pay by 11:59 p.m. PST on December 3. Post-submission, you can track your application status, including recommendation letters and official test results. After payment, verify through the portal that all components are submitted. Each program tracks via its specific dashboard.

Step 6. Review & Decisions

Stanford uses a holistic, individualized review, considering academics, test scores, statements, and recommendations. MIT follows department-specific review cycles in late fall to early spring; some admit on a rolling basis.

Let's now explore the details of the Masters in Data Science USA, including the specializations and their total duration.

Masters in Data Science USA: Course Details & Specialization

Master’s in Data Science programs in the USA offer a well-rounded curriculum that blends theory with hands-on learning. Core subjects typically include linear algebra, statistics with R, SQL-based database systems, machine learning, and data ethics

Many programs also feature capstone projects, industry collaborations like MIT’s TILOS initiative, and the option to waive prerequisites through proficiency exams

Here's a list of popular Masters in Data Science USA

Course Type Programs
Core Subjects
  • Math for Modelers (Linear algebra, calculus, graph theory) 
  • Applied Statistics with R (Probability, regression, data visualization) 
  • Database Systems (SQL, ETL, data cleaning) 
  • Practical Machine Learning (Algorithms, neural networks) 
  • Data Governance & Ethics (Privacy, cybersecurity) 
Electives / Specialization
  • Business Analytics: Predictive marketing, financial modeling 
  • AI & Machine Learning: Neural networks, deep learning 
  • Health Analytics: Epidemiology, clinical research 8
  • Database Analytics: Data warehousing, advanced SQL 
  • Computational Data Science: Algorithms, big data infrastructure 
Other Offerings
  • Capstone/Thesis: Advanced projects or research 
  • Industry Partnerships: Projects with companies like MIT’s TILOS initiative 
  • Proficiency Exams: Waive prerequisites with experience 

Now, let's take a closer look at the costs of doing a Masters in Data Science USA. 

Cost of Pursuing Masters in Data Science USA

Beyond tuition, students should budget for essential living expenses while studying in the U.S. On average, books and supplies cost around $1,170 per year (INR 1L), while transportation expenses range from $20 to $60 annually (INR 1.7K- 5.1K)

These additional costs can significantly impact the total cost of attendance and should be planned for accordingly.

Below is the breakdown of the cost of living in the US for international students: 

Purpose

Yearly/Monthly Cost (EUR)

Yearly/Monthly Cost (INR)

Tuition Fees $50,000–85,000/year  43.4L- 73.8L
Housing (Rent) $500-$3500  43.3K-3L
Food & Groceries $20 -$70  1.7K- 6K
Books & Course Materials $1,170  1L
Utilities $50-$120 4.3K- 10.3K
Transport (Public Pass) $20 -$60  1.7K- 5.1K
Miscellaneous Costs $50-$75 4.3K-6.4K

Note: Cost estimates are yearly and may vary by city and university.

Next, let's explore the various scholarships and financial aid opportunities available to help support your Masters in Data Science USA.

Also read: Comprehensive Guide to Data Science Course Fees and Career Roadmap for 2025

Scholarships for pursuing Masters in Data Science USA

Funding support is available for eligible students pursuing a Master’s in Data Science in the U.S., especially those from underrepresented backgrounds. 

Programs like the GEM Fellowship offer a $16,000 (INR 13.7L) stipendfull tuition coverage, mentorship, and internship opportunities. This fellowship is open to U.S. citizens from underrepresented groups who are admitted to GEM member graduate programs in STEM fields, including data science.

Below is the list of top US scholarships for Indian students that you can avail of while taking admission to Masters in Data Science USA: 

Internal Scholarships

Top universities offer internal scholarships to ease tuition costs. NYU’s DeVries Scholarship supports high-achieving MS in Data Science students with partial tuition waiversUSF’s Women in Data Science Scholarship offers similar support to applicants committed to advancing women in STEM, regardless of gender.

Here are a few internal scholarships for the Masters in Data Science USA:

Scholarship Type Details
CDS Pathbreaker Scholarship (NYU) Merit/Diversity-Based

Eligibility: Admitted MS in Data Science students; prioritizes underrepresented backgrounds (e.g., women, minorities, first-gen students).

Benefits: Full tuition coverage (36 credits) + fees.

DeVries Scholarship (NYU) Merit-Based

Eligibility: Top academic performers in the MS in Data Science program.

Benefits: Partial tuition waiver (amount varies annually).

Women in Data Science Scholarship (USF) Diversity-Based

Eligibility: Open to all genders; applicants must demonstrate a commitment to advancing women in STEM.

Benefits: Partial tuition support (amount varies).

Veterans of the Armed Forces Scholarship (USF) Military Support

Eligibility: U.S. military veterans admitted to the MS in Data Science program.

Benefits: Partial to full tuition coverage (varies by award).

Now, let’s look at the external scholarships for a Master's in Data Science USA.

External Scholarships

International students can access prestigious external scholarships to fund their data science studies in the U.S. The Fulbright Foreign Student Program offers full tuition, a living stipend, and additional benefits to applicants from over 155 countries. 

Stanford's Knight-Hennessy Scholars Program provides full funding, travel support, and leadership training for up to three years.

Here are a few external scholarships for the Masters in Data Science USA:

Scholarship Type Details
Fulbright Foreign Student Program Government-Funded

Eligibility: Open to international students from 155+ countries; requires strong academic record, leadership, and commitment to home country.

Benefits: Full tuition, living stipend, airfare, health insurance, and research funding.

Knight-Hennessy Scholars Program (Stanford) Merit-Based

Eligibility: Open to all nationalities; applicants must demonstrate leadership, academic excellence, and entrepreneurial mindset.

Benefits: Full tuition, living expenses, travel costs, and leadership training for up to 3 years.

AAUW International Fellowships Women in STEM

Eligibility: Women from non-U.S. countries pursuing STEM or business degrees.

Benefits: Up to $50,000 (INR 42.8L) for tuition, living costs, and research expenses.

Google SVA Scholarship Military Support

Eligibility: U.S. military veterans pursuing degrees in CS, engineering, or related fields must be honorably discharged.

Benefits: $10,000 (INR 8.6L) award + networking opportunities.

Next, let's discuss your job options after completing your data science course in USA. 

Also read: Top 10 Free Data Science Online Courses in 2025 [For Freshers & Experienced]

Job Opportunities After Masters in Data Science USA

A Master’s in Data Science opens doors to high-paying roles across industries. Graduates can pursue positions like Machine Learning Engineer, earning an average salary of $169,746 (INR 1.4Cr), or Data Engineer, with an average salary of $128,134 (INR 1Cr). These roles are in high demand, offering strong career growth and stability in today's data-driven economy.

Here's a detailed look at some of the high-demand job opportunities after doing Masters in Data Science USA: 

Job Role Average Annual Salary (USD) Average Annual Salary (INR)
Data Scientist $127,731 1Cr
Machine Learning Engineer $169,746 1.4Cr
Data Engineer $128,134 1Cr
Data Analyst $83,792 71.6L
Business Intelligence Analyst $100,654 86.1L
Data Architect $100,000 85.5L

Source: Glassdoor, Indeed

Note: Currency conversions are approximate and based on the current exchange rate. Salaries and roles may vary based on experience, location, and employer.

Next, let's look at some of the top recruiters for data science  graduates. 

Top Recruiters for Data Science Graduates in USA

Leading tech companies actively hire data science graduates from top U.S. programs. At Amazon, Machine Learning Engineers earn around $152,000 annually, while Microsoft offers Data Scientist roles with average salaries of $155,184. These companies value advanced data skills and offer strong career growth, making them top choices for graduates.

Here are some of the top recruiters and hiring employers for data science  graduates in the U.S.:

Top Recruiter Job Role Average Annual Salary (USD)
Google (Alphabet) Data Scientist $150,000 (INR 1.2Cr)
Amazon Machine Learning Engineer $152,000  (INR 1.3Cr)
Microsoft Data Scientist $155,184  (INR 1.3Cr)
Meta (Facebook) Research Scientist (AI/ML) $178,000  (INR 1.5Cr)
Apple Data Engineer $123,000  (INR 1Cr)

Sources: Glassdoor, Indeed, Payscale

Get yourself ready to take the next step toward studying Masters in Data Science USA. In that case, upGrad offers the guidance, resources, and support you need to start this journey with confidence. 

How Can upGrad Help You Study Masters in Data Science USA?

upGrad offers end-to-end support for students aiming to pursue Data Science programs at top U.S. universities. Their services include expert test prep for GMAT, GRE, TOEFL, SAT, and IELTS, delivered through interactive modules and one-on-one mentorship. Students also receive personalized assistance with college applications, essays, and documentation. 

Additionally, upGrad provides expert guidance on visa processing, scholarship opportunities, financial planning, and education loans. From shortlisting universities to managing the final submission, they streamline every step of the study abroad journey.

Ready to take the leap? Book a free one-on-one counseling session with upGrad's study abroad experts and increase your chances of getting into a top U.S. data science program.

FAQs

What's the cost difference between top-tier and mid-tier universities?

Tuition varies dramatically: Stanford ($74,540 (INR 63.9L)/year) vs University of Michigan ($21,389 (INR 18/3L)/year) vs University of Maryland ($17,693 (INR 15.2L)/year). The total cost difference can exceed $100,000 (INR 85.7L) between the most and least expensive programs over the full degree duration.

How does STEM OPT extension benefit international Data Science graduates?

MS in Data Science qualifies for STEM OPT, giving you 12 months regular OPT + 24 months STEM extension is equal to 36 months total work authorization in the US. Non-STEM graduates only get 12 months, making this a significant advantage for employment.

Can I apply to an MS in Data Science program without a computer science background?

Yes, many programs like Msc Data Science at Arden university accept students from diverse fields (e.g., economics, engineering, physics). However, you'll typically need foundational knowledge in math, statistics, and programming, which can be demonstrated through coursework, though top programs may prefer accredited college courses.

Are there scholarship opportunities for international students?

Focus on merit-based scholarships, graduate assistantships, and TA/RA positions. These can significantly reduce tuition and provide stipends. Apply early and maintain strong academic credentials for the best chances.

What are the visa requirements and processing times for F-1 students?

International students need an F-1 student visa to study in the US. The process involves getting accepted to a SEVP-certified school, paying the SEVIS fee, and attending a visa interview. Processing times can vary from 2-8 weeks, depending on your country and the US embassy workload. 

How competitive is admission to top Data Science programs for international students?

Admission to top programs is highly competitive. MS in data science in USA is a highly selective program. International students typically need strong GRE scores (though some programs are waiving this requirement), high GPA (3.5+), relevant work experience, and strong letters of recommendation. TOEFL/IELTS scores are mandatory for non-native English speakers.

Which universities offer the best industry connections and internship opportunities?

Universities in tech hubs like California (Stanford, UC Berkeley), Seattle (University of Washington), and Boston (MIT, Harvard) typically offer better industry connections. However, programs at state universities often have strong regional industry partnerships. Look for programs with mandatory internship components or co-op programs that guarantee practical experience.

What's the difference between MS in Data Science, Data Analytics, and related programs?

MS in Data Science typically focuses on programming, machine learning, and statistical modeling. Data Analytics programs lean more toward business applications and visualization. Some universities offer specialized tracks like Computational Data Science or Business Analytics. Choose based on your career goals - whether you want to be a data scientist, analyst, or machine learning engineer.

How important is prior programming experience for admission and success?

While not always mandatory, programming experience (especially in Python, R, or SQL) significantly improves your chances of admission and success. Many programs offer preparatory courses or summer bridge programs for students with limited technical backgrounds. However, having some exposure to statistics, mathematics, and basic programming before starting is highly recommended.

What are the employment prospects and salary expectations for international graduates?

Data Science graduates typically have strong employment prospects. The employer must be enrolled in the E-Verify program, and the position must be directly related to your field for STEM OPT eligibility. Entry-level data scientists in the US can expect salaries ranging from $80,000-$120,000 (INR 68.6L- 1Cr), with higher salaries in tech hubs.

What should international students consider when choosing between online, hybrid, and on-campus programs?

For international students, on-campus programs are usually required for F-1 visa eligibility. Some MS in Data Science programs, like the 20-month hybrid course with IIIT Bangalore and the University of West Florida, offer a mix of 8 months online, followed by 12 months on campus. On-campus study offers a richer U.S. experience, facilitates better networking, and provides easier access to internships and job fairs.

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