Overview
The M.S. in Data Science (MSDS) offered by the University of Virginia is tailored for individuals seeking to advance their careers while balancing professional commitments. This online programme is structured to provide a comprehensive understanding of data science, integrating theoretical knowledge with practical applications. Students will engage in a curriculum that emphasises hands-on learning, allowing them to tackle real-world challenges through data-driven solutions.
Why Data Science at University of Virginia?The University of Virginia is renowned for its academic excellence and innovative approach to education. The School of Data Science stands out due to its integration of diverse disciplines, fostering a collaborative environment among students from various backgrounds. The faculty comprises industry experts who bring a wealth of knowledge and experience, enhancing the learning experience. Moreover, the university's extensive alumni network of over 250,000 individuals provides invaluable connections and opportunities for current students.
Tuition Fee BreakdownThe tuition fee for the M.S. in Data Science, Online is set at USD 47,000 for both domestic and international students. This fee covers the entire duration of the programme. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is meticulously designed to cover essential data science topics, ensuring that students acquire the necessary skills to excel in the field. Key areas of study include:
- Natural Language Processing
- Machine Learning
- Text Analytics
- Deep Learning
Students will also participate in a capstone project, applying their knowledge in a practical setting, which is sponsored by corporate and government partners.
Careers with Data ScienceGraduates of the M.S. in Data Science programme are well-prepared for a variety of roles in the industry. Alumni have found success in diverse sectors, including technology, healthcare, finance, and government. They often take on positions such as data analysts, data scientists, and machine learning engineers, utilising their skills to drive data-informed decision-making in their organisations.
Programme Structure
Courses
- Data Science
- Economics
- Statistics
- Machine Learning
Key information
Duration
- Part-time
- 20 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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- Applications are accepted on a rolling basis
Language
Credits
Delivered
Campus Location
- Charlottesville, United States
Disciplines
Data Science & Big Data Machine Learning View 194 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Other requirements
General requirements
- Essay Prompts
- Submit Official Test Scores
- Submit Transcripts or Credential Evaluation
- Request Two Letters of Recommendation
- Pay the Application Fee and Submit Your Application
- Track Your Application
- Interview
Tuition Fees
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International Applies to you
Applies to youNon-residents53754 USD / year≈ 53754 USD / year - Out-of-State53754 USD / year≈ 53754 USD / year
-
Domestic
Applies to youIn-State39159 USD / year≈ 39159 USD / year
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science, Online.
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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