QS World University Rankings by Subject 2025: Which US university, MIT or Carnegie Mellon, leads in data science and AI
The 2025 QS World University Rankings by Subject have placed the Massachusetts Institute of Technology (MIT) at the top spot in data science and artificial intelligence, with Carnegie Mellon University close behind in second place. Both institutions boast exceptional scores, reflecting their strong presence in research, employability, and academic reputation within the US and abroad.MIT, located in Cambridge, leads with an overall score of 98, while Carnegie Mellon, based in Pittsburgh, scores 95.5. These universities are among the top choices for US students interested in advanced studies and career prospects in data science and AI.Overall ranking comparisonMIT secures the number one position with a perfect employer reputation score of 100 and an H-index citations score of 100. Its academic reputation stands at 96.9, while citations per paper reach 94.8. Carnegie Mellon holds a strong second position with an academic reputation rating of 100, citations per paper at 95.9, and an H-index citations score matching MIT at 100. The employer reputation score for Carnegie Mellon is 87, indicating slightly lower industry perception compared to MIT.Student mix and its implicationMIT’s student population comprises 67% domestic and 33% international students, indicating a majority of US-based learners. Carnegie Mellon shows a more diverse mix, with 59% domestic students and 41% international students. This composition ensures a broad network and exposure to global perspectives for native students at both universities.Key subject areas within data science and artificial intelligenceBoth universities offer comprehensive curriculums in data science and AI, covering machine learning, big data analytics, and robotics. MIT’s courses integrate a strong theoretical foundation with practical applications, emphasising cutting-edge research projects. Carnegie Mellon focuses on interdisciplinary approaches, combining computer science, statistics, and cognitive sciences to advance AI technologies.Courses and eligibilityFor admission, MIT typically requires a strong academic background in mathematics, computer science, or related disciplines, along with competitive GRE scores and research experience. Carnegie Mellon looks for candidates with robust analytical skills and a record of innovation in technology or engineering fields. Both universities demand proficiency in English and prefer applicants who demonstrate leadership and problem-solving abilities.Tuition feesThe annual tuition fee for MIT’s data science and AI programmes is approximately $59,000, with total fees around $236,000 for a typical four-year course. Carnegie Mellon charges about $58,000 annually, totalling nearly $232,000 for the complete degree. These figures reflect the investment required from both domestic and international students.Scholarships for native studentsBoth universities offer scholarships aimed at supporting US students. MIT provides the MIT Scholarship Program, granting financial aid based on need, which domestic students can apply for through the university’s financial aid office. Carnegie Mellon offers the CMU Scholars Award, focused on academic merit, with applications processed via the university’s admissions portal. Both universities encourage applying early and checking eligibility criteria linked to academic performance and financial need.Advantages for US studentsUS students benefit from high employability rates at both institutions, with MIT’s perfect employer reputation score underscoring its industry ties within the US job market. The strong domestic student presence enhances networking opportunities locally, while research-intensive programmes ensure students gain skills applicable nationwide. Financial aid schemes further ease the burden of high tuition costs, making these elite programmes accessible to qualified native applicants.Development and impact in the US higher education landscapeMIT and Carnegie Mellon’s leadership in data science and AI contributes significantly to the US maintaining its competitive advantage in technology and innovation. Their graduates are increasingly sought after by major tech companies, research institutions, and government agencies, creating a cycle of growth and expertise centred within the country.Useful links for prospective students:MIT admissions and financial aid: admissions.mit.edu, finaid.mit.eduCarnegie Mellon University admissions and scholarships: admit.cmu.edu, scholarships.cmu.eduQS World University Rankings by Subject 2025: topuniversities.com/subject-rankings/data-scienceDisclaimer: Fees and scholarships are subject to change and may vary based on residency status, financial aid eligibility, and other factors. It is advised to check with the respective universities for the most current and accurate information.
