Quantitative Science
The Bachelor of Science in Quantitative Science is a four-year interdisciplinary program that provides students with a rigorous foundation in mathematics, statistics, and computational methods, emphasizing their application to real-world scientific and social problems. Students explore calculus, linear algebra, probability, statistics, data analysis, and mathematical modeling, developing strong analytical and problem-solving skills. The program equips students to approach complex quantitative challenges, integrate numerical data with theoretical models, and make informed decisions in diverse scientific, technological, and policy contexts.
Throughout the program, students engage in hands-on projects, laboratory experiences, and computational modeling exercises. The curriculum fosters critical thinking, data literacy, and interdisciplinary application, preparing students to tackle challenges in areas such as finance, data science, health sciences, environmental studies, and engineering. By combining theory, computational practice, and applied research, the program prepares students to translate quantitative insight into actionable knowledge and contributes to innovation and informed decision-making in professional and academic settings.
Key information
Key Facts
- Program Title: Quantitative Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 January 2026
- Location: Emory University, United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Quantitative Science
• Calculus I & II
• Introduction to Statistics
• Linear Algebra
• Academic Writing and Research
Year 2 – Core Quantitative Methods
• Multivariable Calculus
• Probability Theory
• Discrete Mathematics
• Introduction to Computational Methods
Year 3 – Applied Quantitative Analysis
• Regression and Statistical Modeling
• Mathematical Modeling and Simulation
• Data Analysis with Programming
• Elective: Operations Research / Machine Learning
Year 4 – Integration and Capstone
• Advanced Quantitative Modeling
• Senior Research Project or Thesis
• Elective: Biostatistics / Financial Mathematics
• Capstone Seminar and Presentation
Career Opportunities
Graduates of the Quantitative Science program are well-prepared for careers in data analysis, actuarial science, financial modeling, operations research, business analytics, healthcare analytics, and technology. They are also equipped for graduate studies in mathematics, statistics, data science, economics, or computational sciences. Employers value graduates’ ability to analyze complex datasets, solve quantitative problems, and apply computational techniques, making them versatile professionals across sectors such as finance, healthcare, technology, government, and research institutions.
Why Choose This Program
This program is ideal for students who are passionate about mathematics, data, and computational problem-solving. Emory University provides a rigorous and interdisciplinary curriculum that combines analytical training, computational tools, and applied research experiences. The program emphasizes critical thinking, data literacy, and practical application, ensuring students develop versatile skills to address real-world challenges. Graduates leave the program with the knowledge, technical proficiency, and analytical insight to excel in professional careers, contribute to scientific research, and pursue advanced studies in quantitative fields.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 404 727 6123
Email: contentedit@emory.edu
Address: University of Emory, 201 Dowman Drive, Atlanta, GA 30322, United States
