CARNEGIE MELLON UNIVERSITY · UNITED STATES
Master of Science in Data Analytics for Science
Master's · Taught in en
At a glance
12 mo
Duration
—
IELTS
€52k
Tuition / yr
en
Language
Master's
Level
- One-year programDuration
- Tailored for science backgrounds (Biology, Physics, Math, Chemistry)Target Audience
- Access to Pittsburgh Supercomputing Center (PSC)Advanced Resources
- Semester-long capstone project with industry partnersPractical Experience
- Focus on machine learning, computational modeling, and data visualizationCore Skills
- Professional development and communication trainingCareer Support
The Master of Science in Data Analytics for Science (MS-DAS) program at Carnegie Mellon University is designed for students with a background in scientific fields such as biology, physics, math, or chemistry who want to develop expertise in data analytics. This one-year program builds upon your existing scientific knowledge, equipping you with advanced skills in machine learning, computational modeling, and data visualization. The program is a collaboration between Carnegie Mellon's Mellon College of Science, Department of Statistics, and the Pittsburgh Supercomputing Center (PSC), offering a unique blend of academic rigor and access to cutting-edge high-performance computing resources. Unlike programs geared towards computer science graduates, MS-DAS focuses on applying data analytics techniques to solve complex problems within scientific domains. You will learn modern programming languages like Python, SQL, and R, and gain hands-on experience through a semester-long capstone project. This project allows you to work with industry partners on real-world data analysis challenges, fostering professional development and networking opportunities. Graduates are prepared for impactful careers in research and development across various sectors.
Curriculum
The MS-DAS program offers a rigorous, career-focused curriculum designed to provide immediately relevant training in modern data analytics, computational modeling, data visualization, and machine learning techniques essential for scientific discovery. The one-year program provides a strong foundation in programming, computational modeling, parallel computing, and statistical analysis, with an emphasis on applying these tools to scientific challenges. Coursework covers topics such as linear algebra, statistical modeling, scientific machine learning, computational modeling, high-performance computing, and professional communication. Python is the primary programming language, with introductions to SQL and R.
- Year 1
Careers
Graduates of the MS-DAS program are well-positioned for careers in industries that require a strong scientific foundation combined with expertise in machine learning and AI. The program's focus on data-driven problem-solving prepares students for roles where scientific innovation is enhanced by advanced computational tools. Carnegie Mellon's Career and Professional Development Center is available to assist with job searches.
- Data Scientist
- Data Analyst
- Research Scientist
- Computational Scientist
- Machine Learning Engineer
Frequently asked questions
- What are the tuition fees and estimated living costs for the Master of Science in Data Analytics for Science program?
- The tuition fee for the 2026-2027 academic year is $60,900, split equally between the Fall and Spring semesters. Estimated living expenses for the same period, including housing, food, books, insurance, personal costs, and transportation, are approximately $34,018.
- What is the duration of the Master of Science in Data Analytics for Science program?
- The Master of Science in Data Analytics for Science is a one-year program.
- What are the application deadlines for the MS-DAS program?
- The application deadline for Fall 2026 admission is February 15, 2026. Applications for Fall 2027 admission will open on September 9, 2026.
- What are the English proficiency requirements for international students?
- International students whose native language is not English must submit TOEFL iBT scores with a minimum of 100. Waivers for this requirement are not provided.
- What are the typical career paths for graduates of the MS-DAS program?
- Graduates are prepared for roles such as Data Scientist, Data Analyst, Research Scientist, Computational Scientist, and Machine Learning Engineer in sectors including Industry R&D, Pharmaceuticals, Medical Device Technology, Financial Services, and Autonomous Transportation.
- What academic background is required for the MS-DAS program?
- The program is designed for students with a Bachelor's degree in scientific fields like biology, physics, math, or chemistry. Prior background in statistical practices, mathematical probability, or advanced calculus is not required.
Entry requirements
Undergraduate DegreeBachelor's degree in biology, physics, math, chemistry, or related scientific fields. No prior background in statistics, mathematical probability, or advanced calculus is required.
TOEFL iBTMinimum 100 (required if native language is not English; no waivers are issued).
The program welcomes applicants without a background in statistical practices, mathematical probability, or advanced calculus.
Fees
Tuition (international)The tuition for the 2026-2027 academic year is $60,900, split between the Fall and Spring semesters ($30,450 each).
Tuition (home)The tuition for the 2026-2027 academic year is $60,900, split between the Fall and Spring semesters ($30,450 each).
LivingEstimated living expenses for the 2026-2027 academic year (including housing, food, books, insurance, personal costs, and transportation) are approximately $34,018, in addition to tuition and health insurance.
Tuition fees are listed for the 2026-2027 academic year. Estimated living expenses are also provided for the same period. Health insurance costs are TBD.
How to apply
1. Complete the Online ApplicationSubmit the application form through the School of Computer Science's online portal. Ensure all required fields are completed accurately, including your date of birth for record management.
2. Submit TranscriptsUpload a PDF of your most recent transcript from each college and university attended, even if no degree was awarded.
3. Upload ResumeProvide your resume in PDF format.
4. Write Statement of PurposePrepare a Statement of Purpose detailing your research interests, experience, and objectives. You may optionally include a paragraph on contributions to diversity, equity, and inclusion.
5. Obtain Letters of RecommendationArrange for three letters of recommendation, with at least two coming from faculty members or recent employers.
6. Submit English Proficiency Test ScoresIf English is not your native language, submit TOEFL iBT scores (minimum 100). Waivers are not provided for any reason.
Frequently asked questions
What are the tuition fees and estimated living costs for the Master of Science in Data Analytics for Science program?
+
The tuition fee for the 2026-2027 academic year is $60,900, split equally between the Fall and Spring semesters. Estimated living expenses for the same period, including housing, food, books, insurance, personal costs, and transportation, are approximately $34,018.
What is the duration of the Master of Science in Data Analytics for Science program?
+
The Master of Science in Data Analytics for Science is a one-year program.
What are the application deadlines for the MS-DAS program?
+
The application deadline for Fall 2026 admission is February 15, 2026. Applications for Fall 2027 admission will open on September 9, 2026.
What are the English proficiency requirements for international students?
+
International students whose native language is not English must submit TOEFL iBT scores with a minimum of 100. Waivers for this requirement are not provided.
What are the typical career paths for graduates of the MS-DAS program?
+
Graduates are prepared for roles such as Data Scientist, Data Analyst, Research Scientist, Computational Scientist, and Machine Learning Engineer in sectors including Industry R&D, Pharmaceuticals, Medical Device Technology, Financial Services, and Autonomous Transportation.
What academic background is required for the MS-DAS program?
+
The program is designed for students with a Bachelor's degree in scientific fields like biology, physics, math, or chemistry. Prior background in statistical practices, mathematical probability, or advanced calculus is not required.