The PhD in Network Science is an interdisciplinary program supported jointly by the Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, College of Arts, Media and Design, and D’Amore-McKim School of Business. The program provides the conceptual and mathematical tools needed to describe and predict networks in an ever-evolving field. You’ll learn a range of network-based approaches and become proficient in relational, mathematical, and algorithmic techniques. You’ll also gain knowledge in fundamental network theories to explain mechanisms and processes of networks across domains—in physical, technological, informational, and social systems.
As the first network science program based in the United States, our curriculum provides a scholarly experience that is truly one of a kind. The program fosters intellectual and quantitative agility, enabling you to combine theoretically-driven inquiries with data collection, analytic tools, and theories and also to understand when, and in what contexts, particular techniques are appropriate and meaningful. You’ll engage in intensive research early in your doctoral experience, on projects led by renowned faculty from our innovative Network Science Institute.
The PhD in Network Science is an interdisciplinary program supported jointly by the Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, College of Arts, Media and Design, and D’Amore-McKim School of Business. The program provides the conceptual and mathematical tools needed to describe and predict networks in an ever-evolving field. You’ll learn a range of network-based approaches and become proficient in relational, mathematical, and algorithmic techniques. You’ll also gain knowledge in fundamental network theories to explain mechanisms and processes of networks across domains—in physical, technological, informational, and social systems.
As the first network science program based in the United States, our curriculum provides a scholarly experience that is truly one of a kind. The program fosters intellectual and quantitative agility, enabling you to combine theoretically-driven inquiries with data collection, analytic tools, and theories and also to understand when, and in what contexts, particular techniques are appropriate and meaningful. You’ll engage in intensive research early in your doctoral experience, on projects led by renowned faculty from our innovative Network Science Institute.
The PhD in Network Science is an interdisciplinary program supported jointly by the Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, College of Arts, Media and Design, and D’Amore-McKim School of Business. The program provides the conceptual and mathematical tools needed to describe and predict networks in an ever-evolving field. You’ll learn a range of network-based approaches and become proficient in relational, mathematical, and algorithmic techniques. You’ll also gain knowledge in fundamental network theories to explain mechanisms and processes of networks across domains—in physical, technological, informational, and social systems.
As the first network science program based in the United States, our curriculum provides a scholarly experience that is truly one of a kind. The program fosters intellectual and quantitative agility, enabling you to combine theoretically-driven inquiries with data collection, analytic tools, and theories and also to understand when, and in what contexts, particular techniques are appropriate and meaningful. You’ll engage in intensive research early in your doctoral experience, on projects led by renowned faculty from our innovative Network Science Institute.
The PhD in Network Science is an interdisciplinary program supported jointly by the Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, College of Arts, Media and Design, and D’Amore-McKim School of Business. The program provides the conceptual and mathematical tools needed to describe and predict networks in an ever-evolving field. You’ll learn a range of network-based approaches and become proficient in relational, mathematical, and algorithmic techniques. You’ll also gain knowledge in fundamental network theories to explain mechanisms and processes of networks across domains—in physical, technological, informational, and social systems.
As the first network science program based in the United States, our curriculum provides a scholarly experience that is truly one of a kind. The program fosters intellectual and quantitative agility, enabling you to combine theoretically-driven inquiries with data collection, analytic tools, and theories and also to understand when, and in what contexts, particular techniques are appropriate and meaningful. You’ll engage in intensive research early in your doctoral experience, on projects led by renowned faculty from our innovative Network Science Institute.
Training in the Network Science PhD program follows a research mentorship model, combining coursework with close research collaborations between students and faculty. From the very beginning of your doctoral studies, you will be deeply engaged in research activities, dedicated to respectful, meaningful discourse and rigorous collaborative exchange that embodies the spirit of the Network Science Institute.
Training in the Network Science PhD program follows a research mentorship model, combining coursework with close research collaborations between students and faculty. From the very beginning of your doctoral studies, you will be deeply engaged in research activities, dedicated to respectful, meaningful discourse and rigorous collaborative exchange that embodies the spirit of the Network Science Institute.
Training in the Network Science PhD program follows a research mentorship model, combining coursework with close research collaborations between students and faculty. From the very beginning of your doctoral studies, you will be deeply engaged in research activities, dedicated to respectful, meaningful discourse and rigorous collaborative exchange that embodies the spirit of the Network Science Institute.
Training in the Network Science PhD program follows a research mentorship model, combining coursework with close research collaborations between students and faculty. From the very beginning of your doctoral studies, you will be deeply engaged in research activities, dedicated to respectful, meaningful discourse and rigorous collaborative exchange that embodies the spirit of the Network Science Institute.
The Network Science PhD program empowers students to gain the technical and problem-solving skills necessary to become thought leaders of the next century. The network perspective leverages the deep interconnectivity and complexity of our world, and the investigations into human or physical phenomena you’ll undertake often involve multiple types of connections and many levels of “actors.” Once you understand the structure and function of those connections, you’ll be able to explain the behavior of any element embedded in a system of other elements.
The field draws on theories and methods from many disciplines, including graph theory from mathematics, statistical mechanics from physics, data mining and data visualization from computer science, inferential modeling from statistics, social structure from sociology, and information structure from informatics. Network science—and, in turn, our Network Science PhD Program—offers powerful theories and methods that integrate and extend advances from these fields to many real-world applications.
The Network Science PhD program empowers students to gain the technical and problem-solving skills necessary to become thought leaders of the next century. The network perspective leverages the deep interconnectivity and complexity of our world, and the investigations into human or physical phenomena you’ll undertake often involve multiple types of connections and many levels of “actors.” Once you understand the structure and function of those connections, you’ll be able to explain the behavior of any element embedded in a system of other elements.
The field draws on theories and methods from many disciplines, including graph theory from mathematics, statistical mechanics from physics, data mining and data visualization from computer science, inferential modeling from statistics, social structure from sociology, and information structure from informatics. Network science—and, in turn, our Network Science PhD Program—offers powerful theories and methods that integrate and extend advances from these fields to many real-world applications.
The Network Science PhD program empowers students to gain the technical and problem-solving skills necessary to become thought leaders of the next century. The network perspective leverages the deep interconnectivity and complexity of our world, and the investigations into human or physical phenomena you’ll undertake often involve multiple types of connections and many levels of “actors.” Once you understand the structure and function of those connections, you’ll be able to explain the behavior of any element embedded in a system of other elements.
The field draws on theories and methods from many disciplines, including graph theory from mathematics, statistical mechanics from physics, data mining and data visualization from computer science, inferential modeling from statistics, social structure from sociology, and information structure from informatics. Network science—and, in turn, our Network Science PhD Program—offers powerful theories and methods that integrate and extend advances from these fields to many real-world applications.
The Network Science PhD program empowers students to gain the technical and problem-solving skills necessary to become thought leaders of the next century. The network perspective leverages the deep interconnectivity and complexity of our world, and the investigations into human or physical phenomena you’ll undertake often involve multiple types of connections and many levels of “actors.” Once you understand the structure and function of those connections, you’ll be able to explain the behavior of any element embedded in a system of other elements.
The field draws on theories and methods from many disciplines, including graph theory from mathematics, statistical mechanics from physics, data mining and data visualization from computer science, inferential modeling from statistics, social structure from sociology, and information structure from informatics. Network science—and, in turn, our Network Science PhD Program—offers powerful theories and methods that integrate and extend advances from these fields to many real-world applications.