Astronomy and Data Science
The Bachelor of Science in Astronomy and Data Science is a four year program designed to equip students with both theoretical and practical skills in astronomy, computational methods, and data analysis. The curriculum emphasizes astrophysics, statistical analysis, machine learning, and big data techniques, enabling students to explore the universe while developing strong computational and analytical expertise. Through lectures, laboratory sessions, simulations, and research projects, students gain hands-on experience analyzing astronomical data, modeling celestial phenomena, and applying computational tools to solve complex scientific problems.
Students develop expertise in astronomy, data science, programming, and scientific research, strengthening problem solving, critical thinking, data interpretation, and computational proficiency. The program combines core courses in physics, mathematics, astronomy, and computer science with electives that allow students to specialize in areas such as cosmology, exoplanet research, or observational astronomy. By integrating theoretical knowledge with applied research experience, graduates acquire the skills necessary to pursue careers in data-driven astronomy, scientific research, computational science, or continue into graduate studies in astrophysics, data science, or related fields.
Key information
Key Facts
- Program Title: Astronomy and Data Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Illinois Urbana-Champaign, United States
- Field of Study: Astronomy & Space Sciences
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Astronomy and Data Science
- Introduction to Astronomy and Celestial Mechanics
- Fundamentals of Programming and Data Analysis
- Academic Writing and Research Skills
- Core Courses in Mathematics, Physics, and Scientific Methods
Year 2 - Core Studies in Astronomy and Computational Methods
- Observational Astronomy and Instrumentation
- Statistical Methods and Data Analysis
- Physics of the Universe
- Elective Courses in Machine Learning, Scientific Computing, or Astrophysics
Year 3 - Advanced Topics & Research Experience
- Computational Modeling in Astronomy
- Advanced Astrophysics and Cosmology
- Independent or Group Research Projects
- Elective Courses in Exoplanet Science, Stellar Dynamics, or Data Visualization
Year 4 - Capstone & Professional Preparation
- Senior Research Project or Thesis in Astronomy and Data Science
- Seminar in Scientific Ethics and Professional Development
- Internship / Placement in Observatories, Research Labs, or Tech Companies
- Career Preparation and Portfolio Development
Career Opportunities
Graduates of this program are prepared for careers in astronomy, data science, research, and technology-driven scientific fields. They often work as astronomers, data scientists, research analysts, observatory technicians, and computational modelers, applying analytical and computational expertise to explore astronomical phenomena and manage large datasets. Many graduates continue their studies in astrophysics, data science, computational science, or engineering, leveraging their combined skills in programming, data analysis, and astronomy to contribute to research projects, space exploration initiatives, or technological innovation. The combination of scientific knowledge, computational proficiency, and research experience ensures graduates are fully equipped to succeed in interdisciplinary and data-intensive careers.
Why Choose This Program
This program is ideal for students seeking a comprehensive education in astronomy and data science that combines observational skills, computational methods, and theoretical knowledge. It emphasizes analytical thinking, data-driven research, scientific proficiency, and career readiness, preparing students for careers in scientific research, data analysis, technology, and academia. Students engage in lab work, programming, research projects, and internships, gaining practical skills alongside academic study. The four year curriculum allows in depth exploration of both astronomy and computational data techniques, ensuring graduates are fully prepared to contribute meaningfully to scientific discovery, space research, and technology-driven solutions.
Contact Information
For further information, please contact the graduate admissions office at:
Phone: 217-333-0035
Email: grad@illinois.edu
Address: The Graduate College, 507 East Green Street, Suite 101, MC-434, Champaign, IL 61820, United States
