Information and Data Sciences
The Information and Data Sciences Bachelor of Science program at the University of Caltech offers a comprehensive and technically rigorous curriculum aimed at understanding how data is generated, analyzed, and used to solve real-world problems. The program provides a strong foundation in computer science, statistics, mathematics, and data engineering, enabling learners to build analytical frameworks for interpreting large datasets and developing data-driven solutions. Through coursework that combines theoretical principles with computational practice, students gain the ability to design algorithms, evaluate data structures with technical precision, and apply statistical methods across a wide range of scientific and engineering applications. This structure cultivates the problem-solving abilities necessary for success in today’s data-centric world.
Students also benefit from Caltech’s interdisciplinary research environment, where data science intersects with fields such as physics, biology, astronomy, and economics. Access to high-performance computing resources and advanced analytical tools allows learners to explore machine learning, artificial intelligence, predictive modeling, and scientific computing at a professional level. By working with faculty engaged in cutting-edge computational research, students deepen their understanding of data systems and gain practical experience through hands-on projects, research collaborations, and real-world applications. This integrated educational approach prepares graduates to contribute effectively to industries and academic fields that rely heavily on data-driven insights.
Key information
Key Facts
- Program Title: Information and Data Sciences
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: California Institute of Technology (Caltech), United States
- Field of Study: Information Technology (IT)
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computing & Mathematics
- Introduction to Programming
- Calculus and Linear Algebra
- Discrete Mathematics
- Fundamentals of Data Science
Year 2 – Core Data Science Methods
- Algorithms and Data Structures
- Probability and Statistics
- Database Systems and Data Management
- Machine Learning Foundations
Year 3 – Applied Computing & Analytics
- Big Data Processing and Cloud Computing
- Statistical Modeling and Inference
- Electives in AI, Computational Science, or Applied Mathematics
- Data Science Laboratory / Project-Based Learning
Year 4 – Advanced Topics & Capstone Research
- Advanced Machine Learning or Deep Learning
- Data Visualization and Communication
- Senior Project or Independent Research
- Scientific Computing or Optimization Methods
Career Opportunities
Graduates of this program possess strong computational, analytical, and statistical skills that prepare them for a wide variety of careers in data-driven industries. Many pursue roles in technology companies, data analytics firms, finance and consulting organizations, and research laboratories, where proficiency in data interpretation and algorithmic development is essential. Their training enables them to contribute to projects involving predictive modeling, software engineering, data architecture, artificial intelligence applications, and large-scale analytics. Additional opportunities exist in healthcare analytics, cybersecurity, environmental modeling, and government agencies that rely on data-focused decision-making. For students interested in further academic development, the program provides excellent preparation for master’s or doctoral studies in data science, computer science, statistics, or computational fields, supporting future careers in research, academia, and high-level technical innovation.
Why Choose This Program
This program is an excellent choice for students seeking a rigorous education that strengthens their advanced analytical insight, enabling them to address complex problems using computational and statistical approaches. The University of Caltech offers a research-rich environment supported by expert faculty guidance, interdisciplinary collaboration, and access to high-performance computing facilities. Students gain extensive hands-on experience through applied coursework, large-scale data projects, and participation in research initiatives that mirror real industry challenges. The curriculum also provides flexibility through elective specialization in areas such as artificial intelligence, computational modeling, or advanced statistics. With its emphasis on scientific precision, computational depth, and innovation, this program equips graduates with the expertise necessary for impactful careers in data science or for pursuing advanced academic opportunities.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 626 395 3000
Email: admissions@caltech.edu
Address: University of Caltech, 1200 East California Boulevard, Pasadena, CA 91125, United States
