Advance Excellence in Teaching

Advance Excellence in Teaching

We seek to provide a world class education for all our students that is distinctively Duke – that is, an education that engages students and faculty in intellectual partnerships, focuses on important questions, and takes advantage of the university’s rich resources both inside and outside the classroom. We strongly believe that the greatest advantage of a research university is the ability to connect undergraduate education to faculty and to the processes of inquiry and discovery. We seek to build innovative gateway courses and experiences that capture students’ imaginations and recruit them into disciplines, to provide hands-on research opportunities that build relationships between students and faculty as they investigate questions about which they are mutually passionate. And we seek to help students design for themselves a coherent pathway of study that leads to a piece of “signature work,” whether that be a journal article, a service learning policy paper, or an original musical composition.

Our Goals 

  • Provide a distinctive, world-class undergraduate liberal arts education
  • Align teaching with our research mission
  • Reimagine gateway courses, particularly in the sciences
  • Target excellence in the majors
  • Expand pedagogies of engagement and active, student-centered learning
  • Enhance classrooms and instructional technologies
  • Continue to develop master’s programs
Photo of new faculty learning about Duke teaching resources

Teaching Support at Duke Learning Innovation

Trinity College faculty have long partnered with the Center for Instructional Technology (CIT) fellows program to produce Coursera MOOCs, to "flip the classroom" to enhance gateway courses, and to explore new instructional technology under the consultation of learning experts. Now through the renamed Duke Learning Innovation program, our faculty can get personalized consultation on their teaching methods, participate in Faculty Fellowships and conversations about teaching, apply for grants to exploring new technologies and teaching strategies, and get expert help in evaluating the effectiveness of innovative teaching efforts. The program also reaches out to new faculty members, like those above, to introduce them to the full breadth of teaching resources available at Duke.

Changing the Face of Computing Tech

DTech program logoIn 2016, we launched the the Duke Technology Scholars Program. DTech is a comprehensive effort to inspire a more diverse group of Duke undergraduates to choose careers in computer science and electrical & computer engineering. Our goal is to create a pipeline of tech-savvy individuals who will thrive in an industry that is the backbone of our society and economy.

The DTech program centers around the idea that relationshipsmentorship and hands-on experience make the difference in recruiting and retaining diverse individuals in technology fields. DTech is a partnership between Duke's Trinity College of Arts & Sciences and Pratt School of Engineering through our departments of computer science, and electrical & computer engineering.

IMPACT: In 2016, we facilitated opportunities for 10 women undergraduates to work as interns at Silicon Valley companies. In 2017, our program supported 34 women undergraduates for internships at 24 Silicon Valley companies. In the summer of 2018, we are expanding the program to three locations: Silicon Valley, Chicago and the Research Triangle Park. 

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Humanities Laboratories

We are continuing a signature Duke humanities research and learning method we call the Humanities Laboratory. Organized around a central theme, each Humanities Lab brings together faculty, undergraduate and graduate students from the humanities and other disciplines in interdisciplinary, vertically integrated research projects. Lab participants work in physical spaces at the Franklin Humanities Institute that are designed to foster both formal collaboration and informal exchange. Shared technological resources enable the Labs to experiment with new research methods, new lines of inquiry, and new ways of engaging with public audiences at Duke and beyond.

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Humanities Labs

Bass Connections - Students Tackling Complex Issues

Companies, governments and organizations are looking for graduates with training and experience tackling complex issues. Through Bass Connections, Duke is channeling its unique culture of collaboration, ambitious entrepreneurial spirit and established record of applying classroom learning to pressing global problems, to create a distinctive new model for education. Bass Connections provides both graduate and undergraduate students with greater exposure to inquiry across the disciplines, partnership with unlikely fellow thinkers, sustained mentorship in teams and the chance to experience the intersections of the academy and the broader world.

M.S. in Quantitative Financial Economics

The M.S. in Quantitative Financial Economics (MQFE) is designed for students who are seeking the greater depth and rigor that are increasingly required by advanced academic programs, as well as in the private sector. This program will improve a student’s candidacy for a Ph.D. program in finance at a top business school, and improve skills in quantitative financial analysis to enable a student to enter a career or move to the next career level. This program is unique in offering advanced courses in volatility modeling, analysis of high-frequency data, and continuous time finance, as these are areas of expertise within the financial economics group at Duke.

M.A. in Analytical Political Society

The Master of Arts in Analytical Political Economy (MAPE) degree is a joint master’s program of the Departments of Economics and Political Science, necessitated by a growing interest in political economy and political science among young economists. These fields are converging, and policy economics — particularly macroeconomic and international trade policy — increasingly includes a strong political component. The MAPE program offers a quantitatively rigorous curriculum rooted in economic and political theory, application, and analysis. Students have the opportunity to gain experience with economic and mathematical modeling along with a deep understanding of how and why policies are developed and implemented.

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M.S. in Statistical Science

The M.S. in Statistical Science is a two-year graduate degree program that provides a modern, comprehensive education in statistical theory, methods and computation. The MSS is attractive to students interested in professional careers in industry, business and government, as well as those interested in bridging to Ph.D. studies in statistics and related areas. The degree program offers tracks in Data Science & Analytics, Finance & Economics, Health Data Science, and Marketing Research & Business Analytics. 

Computational media imagery

M.A. in Digital Art History/Computational Media

Computational Media explores research and presentation strategies enabled by the information sciences, new approaches to computational processes, and new forms of interpreting quantitative and qualitative data.  The goals of the program are for students to understand the critical affordances and potential of digital media, to develop competencies in data-driven and computational approaches to knowledge production, and to develop a hybrid theory-practice M.A. thesis that demonstrates their expertise in action around a particular subject. The Computational Media track of the Master of Arts degree in Digital Art History/Computational Media is designed for graduate students focused on the study, creation, and use of digital media and computation in the arts and humanities. It is offered by the Department of Art, Art History and Visual Studies in partnership with the Information Science + Studies Program.

M.S. in Economics & Computation

The joint field of economics and computer science has emerged from two converging intellectual needs: Computer science has become increasingly important for economists working with big data to address complex questions. Students interested in learning about computational mechanism design with applications to economics are ideal candidates for this program. The MSEC program combines the strengths of the Departments of Economics and Computer Science to educate students in these important computational skills linked to economics, and to prepare them for Ph.D. studies or careers in economics, finance, government, and business.