Overview
The M.Sc. in Data Science at Purdue University is designed to cultivate the next generation of technical experts capable of navigating the complexities of modern big data. This comprehensive programme bridges the gap between theoretical statistics and practical computational engineering to address the urgent need for skilled professionals in the global workforce.
Students benefit from a flexible learning environment that allows for the customisation of their educational path according to specific career interests. By engaging with a curriculum that spans multiple disciplines, learners gain the proficiency required to transform raw data into actionable insights for various organisational sectors.
Why Data Science at Purdue University?
Choosing this programme allows students to learn from world-renowned faculty members who are pioneers in cutting-edge research and real-world data applications. The curriculum is deeply industry-relevant, covering essential domains such as data mining, machine learning, and advanced visualisation techniques.
The university provides a robust online infrastructure that supports collaborative projects and case studies, ensuring that distance learners receive the same quality of education as on-campus students. Furthermore, the interdisciplinary nature of the faculty allows for a unique breadth of expertise across diverse data science specialisations.
Tuition Fee Breakdown
- International fee: USD 29194 per year
- National fee: USD 28794 per year
- Local fee: USD 23936 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum consists of 30 credit hours, including core requirements and specialised electives. Modules may include:
- Data Science
- Big Data Tools and Technologies
- Cross Domain Data Communication and Visualization
- Data Analytics
- Applied Machine Learning
- Capstone
Careers with Data Science
Graduates are prepared for high-growth roles across various data-driven industries, including technology, finance, and government. The programme equips students with the analytical skills necessary for positions such as Data Scientist, Machine Learning Engineer, and Software Engineer.
Beyond technical roles, the degree supports career paths in the automotive, retail, and healthcare sectors, where data expertise is vital for improving operational efficiency and innovation. Graduates often secure roles as Research Scientists, Data Analysts, or Quantitative Analysts, helping organisations make strategic, evidence-based decisions.
Programme Structure
Curriculum:
- Programming
- Spatial Data
- Statistics and Algebra
- Natural Language Processing
- Data Engineering
- IT Project Management
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- West Lafayette, United States
Disciplines
Data Science & Big Data View 471 other Masters in Data Science & Big Data 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
- Review the application checklist and required documents for your intended online program’s application.
- Most programs require a resume, academic statement of purpose, personal history statement, and academic transcripts. Other program applications require GRE scores and supplemental documents. It is important to make sure you have all that is required prior to applying.
- Have the e-mail addresses of your Letter of Recommendation writers on hand to input into appropriate section in the application.
Tuition Fees
-
International Applies to you
Applies to youNon-residents29194 USD / year≈ 29194 USD / year - Out-of-State28794 USD / year≈ 28794 USD / year
-
Domestic
Applies to youIn-State23936 USD / year≈ 23936 USD / year
Living costs
West Lafayette
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for 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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