Welcome!

News Feed Item

Online PhD Programs Publishes Ranking of U.S. Cities with the Most Doctoral Degree Holders

RALEIGH, N.C., Aug. 25, 2014 /PRNewswire/ -- Online PhD Programs, an independent guide to earning a doctorate over the Internet, has published a ranking of the top 50 U.S. cities with highest percentage of doctoral degree holders (http://www.online-phd-programs.org/50-u-s-cities-with-the-most-doctoral-degree-holders/). The ranking offers brief profiles of the 50 U.S. cities with the highest percentage of inhabitants who possess doctorates, with possible explanations as to why.

According to Luke Paton, who co-authored the list, "There are many things for future doctoral candidates to consider before they embark on their chosen programs. Which institution to study at and what to research are the two most obvious, but thought should also be given to where doctorate holders might end up once they've finished their degrees." Paton also noted that anyone interested in living among a highly educated population will find the list helpful.

Combining the most recent data from the U.S. Census Bureau and City-Data.com, the ranking is headed by Brookline, Massachusetts, which boasts a population in which fourteen percent have earned a doctoral degree, and several PhD granting universities nearby, including Harvard University, Boston College, Boston University, and MIT. Brookline is followed closely by two California cities: Davis, with 13.5 percent holding a PhD and home to the University of California, Davis, and Palo Alto, home to Silicon Valley and the University of Southern California, which have helped produce and attract a population in which 13.1 percent hold a doctorate.

Other cities making the list include: 
Ames, Iowa 
Ann Arbor, Michigan 
Arlington, Virginia 
Athens-Clarke County, Georgia 
Berkeley, California 
Bethesda, Maryland 
Bloomington, Indiana 
Boulder, Colorado 
Bryan, Texas 
Cambridge, Massachusetts 
Cary, North Carolina 
Catalina Foothills, Arizona 
Champaign, Illinois 
College Station, Texas 
Columbia, Maryland 
Columbia, Missouri 
Cupertino, California 
Durham, North Carolina 
Ellicott City, Maryland 
Encinitas, California 
Evanston, Illinois 
Fayetteville, Arkansas 
Fort Collins, Colorado
Gainesville, Florida
Gaithersburg, Maryland
Goleta, California
Iowa City, Iowa
Irvine, California
Lawrence, Kansas
Madison, Wisconsin
Mountain View, California
New Haven, Connecticut
Newton, Massachusetts
Norman, Oklahoma
Oak Park, Illinois
Pasadena, California
Pittsburgh, Pennsylvania
Reston, Virginia
Santa Cruz, California
Seattle, Washington
Silver Spring, Maryland
Somerville, Massachusetts
Sunnyvale, California
Towson, Maryland
Walnut Creek, California
Washington, D.C.
West Hartford, Connecticut

The ranking only considered U.S. cities with a population of at least 50,000. Most of the data was derived from City-Data.com's list of the "Top 101 cities with the most people having Doctorate degrees." Because some of the figures in the article seemed to be outdated, going back to 2000, they were combined and cross-referenced with more recent 2010 and 2012 statistics from elsewhere on City-Data.com and the U.S. Census Bureau.

Online PhD Programs is an Internet resource for prospective PhD students interested in completing a doctorate online, with rankings and reviews of online PhD programs in a variety of subjects, information on finding funding for an online doctorate, post-graduate career guides, and more.

Contact: 
Stephanie Grossnickle-Batterton 
Lead Editor
(919) 741-5059
Email 

SOURCE Online PhD Programs

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.