BROWN UNIVERSITY · UNITED STATES
Master's in Data Science
Master's · Taught in en
At a glance
24 mo
Duration
7.0
IELTS
€64k
Tuition / yr
en
Language
Master's
Level
- STEM Designated ProgramFor OPT extension eligibility
- No GRE RequiredApplication requirement
- Minimum 3.0 GPA RequiredAcademic standing
- Full-time, On-CampusProgram format
- 2 YearsTypical duration
Brown University's Master's in Data Science program is an intensive, full-time, on-campus program designed to equip students with the theoretical knowledge and practical skills to excel in the rapidly growing field of data science. The program focuses on developing a strong foundation in statistical modeling, machine learning, data mining, and computational methods, preparing graduates for impactful careers in various industries. Students will learn to analyze complex datasets, build predictive models, and communicate data-driven insights effectively. The curriculum is structured to provide a comprehensive understanding of data science principles, with an emphasis on hands-on application. Students will engage with programming languages like Python and R, essential tools for data manipulation, analysis, and visualization. The program encourages a collaborative learning environment, fostering interaction among students and with faculty who are active researchers in the field. This program is recognized as a STEM program, offering international students potential benefits for post-graduation work opportunities (OPT extension). While the program is designed for completion within two years, students can take it over a longer period by enrolling in fewer credits per semester, though this may not be compatible with full-time work due to course schedules.
Curriculum
The Master's in Data Science program requires students to complete nine courses, typically taken over two years. While the specific module breakdown per year is not detailed, the curriculum emphasizes core data science areas.
- Year 1
- Core Data Science Courses (examples)N/A
- Statistical ModelingN/A
- Machine LearningN/A
- Data MiningN/A
- Computational MethodsN/A
- Year 2
- Electives and Advanced TopicsN/A
- Project or Capstone Work (implied)N/A
Careers
The Master's in Data Science program prepares graduates for diverse roles in research, industry, and the public sector. Brown University's alumni have pursued careers in various fields, leveraging their analytical and technical skills.
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Quantitative Researcher
- Business Intelligence Analyst
Frequently asked questions
- What are the tuition and fees for the Master's in Data Science program?
- The annual tuition for the 2026-2027 academic year is $74,568, which includes various university fees. International students are charged the same tuition as domestic students.
- What are the application deadlines for the Master's in Data Science program?
- The application deadline for Fall admission is February 1. If you are requesting a fee waiver due to financial hardship, it must be submitted three days before the application deadline.
- What are the academic entry requirements for international applicants?
- Applicants need a bachelor's degree with a minimum GPA of 3.0 on a 4.0 scale. Specific prerequisite courses in calculus, linear algebra, statistics, and programming are also recommended.
- Does the program offer any scholarships or financial aid for international students?
- Yes, merit-based and need-based scholarships are available, potentially covering full or half tuition. For need-based scholarships, you must submit the FAFSA form by February 1.
- How long does the Master's in Data Science program typically take to complete?
- The program is designed for completion within two years as a full-time, on-campus program. Students can extend their studies by enrolling in fewer credits per semester.
- What career opportunities are available after graduating from the Master's in Data Science program?
- Graduates are prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Quantitative Researcher, and Business Intelligence Analyst in various industries.
Entry requirements
Undergraduate DegreeA bachelor's degree is required. A three-year degree is acceptable.
GPAMinimum GPA of 3.0 on a 4.0 scale.
PrerequisitesRecommended completion of at least one term of calculus (e.g., MATH 0090 or above), one term of linear algebra (e.g., MATH 0520 or above), one term of calculus-based probability and statistics (e.g., APMA 1650), and an introduction to programming (e.g., CSCI 0150 or 0170). Proficiency in Python and R is expected.
TOEFL/IELTSNot specified, but waiver available
GRE scores are not required and will not be evaluated. Applicants should be prepared to work primarily in Python and R. Applications must be complete by the deadline, including letters of recommendation and official score reports.
Fees
Tuition (international)Tuition is charged per semester. The annual tuition for the 2026-2027 academic year is $74,568. Fees include Student Activities, Student Resources, Student Recreation, Health Services, and Academic Records.
Tuition (home)Tuition is charged per semester. The annual tuition for the 2026-2027 academic year is $74,568. Fees include Student Activities, Student Resources, Student Recreation, Health Services, and Academic Records.
LivingBrown University provides an estimated Cost of Attendance (COA) which includes tuition, fees, and living expenses. Specific living cost estimates are not detailed in the provided text.
The Student Health Insurance Plan (SHIP) is an annual premium. Other fees may apply. Applicants can request a fee waiver under specific financial hardship conditions, with documentation required.
How to apply
1. Complete Online ApplicationFill out the online application form thoroughly. Be prepared to provide personal information, academic history, and statements.
2. Submit TranscriptsOfficial transcripts from all undergraduate and graduate institutions attended are required.
3. Provide Letters of RecommendationSubmit the required number of letters of recommendation from academic or professional references who can attest to your qualifications.
4. Write a Personal StatementCraft a compelling personal statement that highlights your qualifications, interests, and goals related to data science.
5. Submit English Proficiency Scores (if applicable)If English is not your native language and you have not completed a degree taught in English, you may need to submit TOEFL or IELTS scores. Waivers are available under specific conditions.
6. Request Fee Waiver (if applicable)If you cannot afford the application fee, submit a fee waiver request form no later than three days before the application deadline, along with substantiating documentation for financial hardship.
7. Pay Application FeeSubmit the application fee, unless a fee waiver has been approved.
Scholarships
Data Science Institute ScholarshipsFull and half-tuition
Accreditation
N/A
Frequently asked questions
What are the tuition and fees for the Master's in Data Science program?
+
The annual tuition for the 2026-2027 academic year is $74,568, which includes various university fees. International students are charged the same tuition as domestic students.
What are the application deadlines for the Master's in Data Science program?
+
The application deadline for Fall admission is February 1. If you are requesting a fee waiver due to financial hardship, it must be submitted three days before the application deadline.
What are the academic entry requirements for international applicants?
+
Applicants need a bachelor's degree with a minimum GPA of 3.0 on a 4.0 scale. Specific prerequisite courses in calculus, linear algebra, statistics, and programming are also recommended.
Does the program offer any scholarships or financial aid for international students?
+
Yes, merit-based and need-based scholarships are available, potentially covering full or half tuition. For need-based scholarships, you must submit the FAFSA form by February 1.
How long does the Master's in Data Science program typically take to complete?
+
The program is designed for completion within two years as a full-time, on-campus program. Students can extend their studies by enrolling in fewer credits per semester.
What career opportunities are available after graduating from the Master's in Data Science program?
+
Graduates are prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Quantitative Researcher, and Business Intelligence Analyst in various industries.