Economics and Computation

The Bachelor of Science in Economics and Computation at Duke University offers a comprehensive interdisciplinary education designed to prepare students for a wide range of careers in economics, data science, technology, and public policy. This innovative program combines rigorous training in economic theory and quantitative analysis with advanced computational skills, enabling graduates to analyze complex systems, develop data-driven solutions, and understand the economic implications of technological advances. The curriculum includes foundational courses in microeconomics and macroeconomics, as well as specialized classes in econometrics, machine learning, programming, and algorithms. Students gain proficiency in programming languages such as Python and R, alongside statistical methods essential for modern economic research and data analysis. The program emphasizes critical thinking, problem-solving, and ethical considerations in computational applications, preparing students to address real-world challenges with a multidisciplinary approach. Throughout their studies, students have access to cutting-edge research labs, data centers, and collaborative projects with faculty experts, fostering an environment of innovation and discovery. In addition to technical skills, the program encourages development of communication and teamwork abilities critical for leadership roles in industry, government, or academia. Graduates of the Economics and Computation program are well-equipped to pursue careers in finance, technology, consulting, public policy, or to continue their education in advanced graduate programs. The program’s flexible design allows students to tailor their coursework towards their specific interests, whether in economic modeling, data science, artificial intelligence, or policy analysis. With a strong foundation in both economics and computation, students are prepared to become influential thinkers and practitioners in a rapidly evolving digital economy.

Economics and Computation at Duke University is an interdisciplinary undergraduate program designed to equip students with a comprehensive understanding of economic principles and computational techniques. This innovative curriculum integrates the core theories of economics with advanced computational methods, preparing students for analytical roles across finance, technology, policy, and research sectors. The program emphasizes both theoretical foundations and practical applications, fostering critical thinking and problem-solving skills essential in today’s data-driven world.

Students in this program gain a solid grounding in microeconomics and macroeconomics, learning to analyze market behaviors, consumer choices, and the impact of government policies. Simultaneously, they develop proficiency in algorithms, programming languages such as Python and R, and data analysis tools, enabling them to implement computational models and interpret complex datasets. The curriculum also covers machine learning, optimization, and economic modeling, providing students with the technical expertise to design innovative solutions to economic problems.

Throughout the program, students undertake interdisciplinary coursework that bridges theoretical knowledge with real-world application. They engage in hands-on projects, internships, and research opportunities that reinforce their skills and expand their professional networks. The program also offers electives in areas such as finance, data science, and public policy, allowing students to tailor their education to their interests and career goals.

The interdisciplinary nature of the program aims to produce graduates who are adept at translating economic theories into computational tools and vice versa. Graduates are well-prepared for careers in economic analysis, data science, software development, consulting, and academic research. They also benefit from Duke’s strong connections with industry leaders and access to cutting-edge resources, including research centers focused on economics, computation, and data science.

Overall, the Economics and Computation program at Duke University offers a rigorous, innovative education that combines the best of economic theory and computational practice. It prepares students to address complex economic challenges and contribute meaningfully to the rapidly evolving landscape of technology and policy. Whether pursuing graduate studies or entering the workforce directly, graduates emerge with the skills and knowledge necessary to excel in a variety of dynamic fields.

The Bachelor of Science in Economics and Computation at Duke University requires students to complete a comprehensive curriculum designed to integrate economic theory with computational skills. The program emphasizes a strong foundation in microeconomics and macroeconomics, along with advanced coursework in algorithms, programming, and data analysis. Students are expected to undertake a set of core courses in economics, including Principles of Economics, Intermediate Microeconomics, and Intermediate Macroeconomics, which establish foundational understanding of economic principles and analytical methods. Alongside these, students must complete computer science courses such as Introduction to Programming, Data Structures and Algorithms, and Programming for Data Science, to develop proficiency in programming languages and computational techniques relevant to economic analysis.

Elective courses allow students to tailor their learning towards specific interests within the intersection of economics and computation, including topics like Machine Learning in Economics, Economic Data Science, and Optimization Methods. To foster practical experience, students are encouraged to participate in research projects or internships that apply computational methods to real-world economic data. Additionally, the program requires the completion of a capstone project, which integrates economic theories with computational tools to analyze complex issues or develop innovative solutions.

As part of the graduation requirements, students must complete a minimum number of credit hours, typically including courses in quantitative methods, programming, and economics, totaling approximately 120 semester credit hours. The program also encourages students to develop strong quantitative and analytical skills, preparing them for careers in economic analysis, data science, finance, or further graduate study. Overall, the program's structure ensures a rigorous integration of disciplines, equipping graduates with the skills necessary for diverse roles that demand both economic insight and computational expertise.

The Financing of the Economics and Computation program at Duke University encompasses a variety of financial resources designed to support students throughout their academic journey. Tuition fees for the program are in line with Duke University’s Graduate School standards, with current annual costs estimated at approximately $60,000 for in-state and out-of-state students. These costs cover coursework, access to university facilities, and other academic expenses. To assist with financing, Duke University offers a range of funding options, including fellowships, research assistantships, teaching assistantships, and scholarships specifically aimed at graduate students pursuing degrees in economics, computation, or interdisciplinary fields like Economics and Computation.

Fellowships may provide full or partial tuition coverage and stipends to support living expenses. These awards are often highly competitive and are granted based on academic merit, research potential, and departmental needs. Research and teaching assistantships typically require students to contribute to faculty research projects or assist in teaching undergraduate courses, providing both financial support and valuable professional experience. The university also offers departmental scholarships and external fellowship opportunities that students can apply for, often requiring a strong academic record and research proposals.

Students are encouraged to seek external funding sources such as government grants, private foundations, and industry scholarships, which can supplement university-provided financial aid. Duke University’s financial aid services provide comprehensive counseling to help students identify appropriate funding opportunities. Additionally, students may explore loan options, although federal and private loans should be carefully considered in light of repayment obligations. The university’s commitment to affordability ensures that admitted students are aware of the available financial resources and application processes. Overall, the financing landscape for the Economics and Computation program aims to minimize financial barriers, allowing students to focus on their research and coursework.

Economics and Computation at Duke University is an interdisciplinary program that combines the rigorous analytical tools of economics with the technical skills of computer science. This program is designed to prepare students for a variety of career paths, including data science, economic research, policy analysis, and technology development. Students gain a strong foundation in microeconomics and macroeconomics, as well as advanced training in algorithms, programming, and data analysis. The curriculum integrates theoretical economic models with practical computational techniques, enabling graduates to analyze complex economic issues using modern software tools and large datasets.

The program typically offers coursework in economic theory, econometrics, programming languages such as Python and R, and machine learning applications. Students are encouraged to engage in research projects, internships, and collaborations with faculty involved in cutting-edge research on topics like market design, behavioral economics, and computational social science. Duke’s interdisciplinary environment fosters collaboration across departments, allowing students to tailor their studies according to their interests and career goals.

Graduates of the program are well-equipped to pursue advanced studies in graduate schools or to enter the job market in roles such as economic analysts, data scientists, policy advisors, or software developers. The program benefits from Duke’s strong research centers, such as the Economics and Data Science groups, providing students with access to seminars, workshops, and experiential learning opportunities. Overall, the Economics and Computation program at Duke prepares students for the rapidly evolving landscape of economics in a digital age, emphasizing both theoretical understanding and practical programming skills to solve real-world problems.