Overview
Why Interdisciplinary Data Science at Duke University?The Master of Science in Interdisciplinary Data Science (MIDS) at Duke University stands out due to its exceptional faculty, small class sizes, and an innovative interdisciplinary curriculum. Students benefit from a collaborative learning environment that emphasises teamwork and critical thinking, essential skills in today’s data-driven world. Duke’s MIDS programme is designed to prepare graduates for diverse roles across various sectors, making them valuable assets in the workforce. Duke University is renowned for its commitment to academic excellence and its focus on interdisciplinary approaches. The MIDS programme integrates rigorous computational training with practical applications, allowing students to engage in real-world projects through capstone experiences. This hands-on approach not only enhances learning but also fosters valuable industry connections, positioning graduates for success in their careers.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Interdisciplinary Data Science at Duke University are as follows:
- International Fee: USD 65,120 per year
- National Fee: USD 65,120 per year
- Local Fee: USD 65,120 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the MIDS programme is carefully structured to ensure a well-rounded education in data science. Key components of the syllabus include:
- Bootcamp for foundational skills
- Core MIDS Courses focused on advanced data analysis
- Elective Requirements allowing for specialised study
- Capstone Projects that provide practical experience
Students are encouraged to explore various topics within data science, ensuring they develop both technical and analytical skills that are crucial in today’s job market.
Careers with Interdisciplinary Data ScienceGraduates of the MIDS programme are well-equipped to pursue a range of career opportunities in various industries. Alumni have secured positions in leading companies and organisations, leveraging their skills in data analysis, project management, and technology. Specific roles include data scientists, analysts, and consultants, with graduates contributing to sectors such as healthcare, finance, and technology. The interdisciplinary nature of the programme ensures that students are prepared to tackle complex problems and make significant contributions in their chosen fields.
Programme Structure
Courses include:
- Data Science Dialogues
- Data Science Ethics
- Data Logic, Visualization, and Storytelling
- Data Management Systems
- Principles of Machine Learning
- Modeling and Representation of Data
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Durham, United States
Disciplines
General Studies Data Science & Big Data View 121 other Masters in General Studies in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Bachelor's degree in engineering or science from an accredited institution (transcripts required, including an estimated GPA and a grade scale)
- Statement of Purpose
- Resume
- Three recommendations
- Graduate Record Exam (GRE) or equivalent—official results
- English Language Testing (TOEFL or IELTS)—official results
- Interview and/or a video introduction
- Nonrefundable application fee of US$75— paid by credit card, or by a check made payable to Duke University
Tuition Fees
-
International Applies to you
Applies to youNon-residents67724 USD / year≈ 67724 USD / year - Out-of-State67724 USD / year≈ 67724 USD / year
-
Domestic
Applies to youIn-State67724 USD / year≈ 67724 USD / year
Living costs
Durham
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Interdisciplinary Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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