$65,684 /Yr
On-campus
full_time
Master of Science [M.S] Data Science
- Master in Interdisciplinary Data Science is a two-year program at Duke University.
- It is an on-campus program offered on a full-time basis.
- Students will work with Duke’s elite faculty in fields across the university including computer science, statistics, math, economics, political science, sociology, medicine, neuroscience, law, and history.
- Master in Interdisciplinary Data Science program is structured to connect technical learning and expertise with the many domains in need of data insights.
- MIDS combines rigorous computational and technical training with field knowledge and repeated practice in critical thinking, teamwork, communication, and collaborative leadership to generate data scientists who can add value to any field.
- The enrollment of the students in this program is 35 – 40.
Tution & Application Fees
Year | Year 1 | Year 2 |
Tuition Fees | $60220 | $60220 |
Health Insurance | $3375 | $3375 |
Books and supply | $668 | $668 |
Other Fees | $1421 | $1421 |
Total Fees | $65684 | $65684 |
Examinations
Exam Type | Exam Name | Score | Out of Score | Exam Level |
---|---|---|---|---|
IELTS | International English Language Testing System | 7.0 | 9 | 3 |
TOEFL | Test of English as a Foreign Language | 90 | 120 | 3 |
GRE | Graduate Record Examination | 315 | 340 | 2 |
Academic Eligibility:
- Students must have a bachelor's degree from an accredited institution.
- Students required an average grade of 3.0 on a 4.0 scale.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Students must complete a 4-year undergraduate degree from a recognized institution
- Or, students completed a master's degree with first-class in a relevant field from a recognized institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.