Data Science, Residential
Virginia University’s 11-month Master’s in Data Science (Residential) is an intensive, full-time on-campus program that equips students with advanced skills in data analysis, statistical modeling, and computational techniques essential for modern decision-making. Designed for individuals with a strong quantitative background, the program bridges theory and application, covering key areas such as machine learning, data visualization, and big data processing. With an accelerated format, the curriculum is structured to maximize both technical proficiency and practical problem-solving within a focused academic year.
Students gain hands-on experience using real-world datasets, industry-standard tools, and cloud-based platforms. Through project-based learning and close faculty mentorship, they develop the ability to translate complex data into clear, actionable insights. The program also emphasizes ethical considerations and responsible data use, ensuring that graduates are not only skilled but also thoughtful in their approach. Whether preparing for roles in tech, finance, healthcare, or consulting, students leave the program with a robust and application-ready data science skillset.
Key information
Key Facts
- Program Title: Data Science, Residential
- Degree Type: S. Master
- Duration: 11 months
- Mode of Study: Full-time, On Campus
- Application Deadline: 17 March 2026
- Location: University of Virginia, United States
- Field of Study: Information Technology (IT)
- Language of Instruction: English
Program Structure
Semester 1 – Core Foundations in Data Science
- Introduction to Data Science and Programming
- Statistical Inference and Probability
- Data Wrangling and Visualization
- Linear Models and Regression Techniques
Semester 2 – Advanced Analytics and Machine Learning
- Machine Learning Algorithms and Evaluation
- Big Data Systems and Cloud Computing
- Data Ethics and Responsible AI
- Capstone Project in Data Science Practice
Career Opportunities
Graduates of the Data Science program are in high demand across technology firms, financial institutions, consulting agencies, and public sector organizations. They often secure roles such as data scientist, machine learning engineer, business intelligence analyst, or quantitative researcher, applying their skills to extract insights, optimize systems, and drive innovation. Some work on predictive modeling in healthcare, fraud detection in banking, or user behavior analytics in e-commerce. With data continuing to shape strategic decisions in nearly every industry, this degree opens doors to high-impact, future-proof careers. Graduates are also well-positioned for PhD study or certifications in specialized domains like AI, data engineering, or advanced analytics.
Why Choose This Program
This program is ideal for students seeking a rigorous, fast-paced, and industry-aligned education in data science. Virginia University’s residential format offers immersive learning with access to faculty mentorship, peer collaboration, and cutting-edge computational resources. The curriculum is designed to balance technical depth with practical relevance, giving students the chance to build real solutions to real problems. With networking events, employer partnerships, and personalized career support, students benefit from a strong pipeline to competitive roles. For those ready to launch or accelerate a career in data science, this program provides a strategic and high-impact academic journey.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 434 924 0311
Email: gradadmissions@virginia.edu
Address: University of Virginia, Charlottesville, VA 22904, United States
