IDM: Math-CS Data Science
Duke University · NC · U-IDASC-BS
IDM: Math-CS Data Science is a Undergraduate degree at Duke University, NC. It covers areas like data analytics, data science, data mining, data analysis, big data, statistical computing. The summary below is compiled from public course information — approximate, not official.
Duke University
Undergraduate
US$68,758
What you'll study in IDM: Math-CS Data Science
Example subjects: DATA SCIENCE, DATA SCI & ML, FOUNDATIONS OF DATA SCIENCE, FOUNDATIONS OF DATA SCIENCE, DISCRETE MATH FOR CS, INTRO HIGH DIM DATA ANALYSIS, DATA SCIENCE COMPETITION, DATA SCIENCE, STATISTICAL DATA MINING, APPL IN DATA & MATERIALS SCI, DATA SCIENCE, ECONOMETRICS AND DATA SCIENCE.
Frequently asked questions
What will I study in IDM: Math-CS Data Science?
IDM: Math-CS Data Science covers areas like data-analytics, data-science, data-mining, data-analysis, big-data, statistical-computing, applied-statistics, applied-mathematics.
How much does IDM: Math-CS Data Science cost?
Indicative domestic fees for IDM: Math-CS Data Science are around US$68,758 (approximate, usually per year). International fees differ — confirm with the university.
Who offers IDM: Math-CS Data Science?
IDM: Math-CS Data Science is offered by Duke University, NC.
Considering IDM: Math-CS Data Science?
Peernovo helps students research, choose and thrive at university — across Australia, the US, the UK and Canada — powered by our AI backbone:
- Explore & compare degrees — across universities and countries with honest, specific information.
- "What Can I Be?" career guidance — an AI pathway councillor that maps degrees to careers.
- See who's studying — your degree at your university — find classmates and study groups.
- AI Task Coach — a Socratic study companion that plans your work around your life.
- Honours & Thesis Research Coach — structure and move your research project forward.
- Smart study planner, exam prep and a daily digest — to keep you on track.
Sources: Duke University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
Something not right on this page, or want it changed? Let us know and we'll review it.