Many universities and institutions have dedicated research centers and programs focused on various aspects of data engineering and related fields.

Universities with strong data engineering programs:

Massachusetts Institute of Technology (MIT)
Stanford University
Carnegie Mellon University
University of California, Berkeley
University of Illinois at Urbana-Champaign
These institutions offer courses in databases, data mining, and machine learning, with a focus on real-world applications.

Source: Gemini AI Overview

OnAir Post: DE Research Centers & Institutes

Reddit’s data engineering communities

The primary Reddit community for data engineering is r/dataengineering. It’s a very active subreddit where you can find:

Discussions: News, trends, challenges, and solutions related to data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch processing, Big Data, and workflow engines.
Advice and Help: Users often post questions about career paths, technical issues, project ideas, and best practices.
Resource Sharing: You’ll find links to articles, blogs, tutorials, tools, and job postings relevant to data engineering.
Community: It’s a place to connect with other data engineers, from beginners to experienced professionals.

Source: Gemini AI Overview

OnAir Post: Reddit’s data engineering communities

DAEN – Data Analytics Engineering @GMU

George Mason University’s data analytics engineering programs at Volgenau prepare students for their future careers in a growing discipline.

All of our programs are taught by our industry-leading faculty members across schools and colleges in Mason, giving our students the ability to see the numerous possibilities a data-driven degree can offer.

Master of Science –– The MS in data analytics engineering is a multidisciplinary degree program at the Volgenau School of Engineering. It provides students with an understanding of the technologies and methodologies necessary for data-driven decision-making.
Certificate –– The graduate certificate in data analytics engineering gives students a foundation of basic data analytics and data science principles.
Master of Science Online –– The online MS program gives students the flexibility to earn an advanced degree and expand their knowledge in data analytics in an asynchronous format.
Certificate Online –– The online graduate certificate in data analytics engineering gives students a foundation of basic data analytics and data science principles with the flexibility of an online asynchronous format.

Data analytics engineering is an expanding field. Therefore, all our programs instruct students on current and innovative tools and prepare them to be adaptable to the future of the field.

Source: GMU

MASON GradEchoes4 Akash
Mason_GAPSA – 22/02/2024 (01:02)

https://www.youtube.com/watch?v=tHH6RQXryhQ&ab_channel=Mason_GAPSA

GAPSA’s Mason GradEchoes had the pleasure of interviewing Akash Manjunath Tulahalli, a master’s student majoring in Data Analytics Engineering at George Mason University. Originally from Bengaluru, India, Akash embarked on a journey to pursue his dream of studying in the USA. Now, on his 190th day in the country, he is documenting his experience through daily vlogs on his YouTube channel (https://www.youtube.com/@gotechakash?…. For Akash, coming to GMU and studying data analytics engineering is more than just an academic pursuit – it’s a dream come true. He expresses gratitude for the support he receives from his friends, family, and the broader community back in India, who have cheered him on every step of the way. At GMU, Akash finds himself immersed in a vibrant academic environment supported by a dedicated faculty and a diverse community of fellow students. He speaks highly of the Data Analytics Engineering program, emphasizing its comprehensive curriculum and the invaluable guidance and resources provided by professors and peers alike.

But Akash’s aspirations go beyond the classroom. He is passionate about leveraging his skills to make a positive impact and is committed to building a strong community centered around data-driven insights. Through his YouTube channel, he aims to engage and educate others, sharing his journey and inspiring fellow students to pursue their dreams.

OnAir Post: DAEN – Data Analytics Engineering @GMU

Virginia Tech Academy of Data Science

Virginia Tech’s Academy of Data Science was launched in 2020, in part to help meet the growing demand for workers who possess the skills to analyze data. Data science — a transdisciplinary field that draws upon the theories, methods, and concepts of statistics, mathematics, computer science, and information science to extract knowledge and insight from data — not only impacts all branches of science, but other fields as well.

The Academy of Data Science will focus on the development of methods, techniques, and tools for extracting knowledge and insight from data to further science. In doing so, it will elevate data science as a scientific discipline of its own, as well as bolstering the integration of data science into all scientific fields. Additionally, the Academy will serve as the connective fabric between the College of Science and other Virginia Tech colleges and institutes as they collaborate to develop new data science methodologies and applications of data science in scientific disciplines.

Tom Woteki, a three-time Virginia Tech alum with a Ph.D. in statistics, was named the founding director of the Academy of Data Science. He also heads the part-time data analysis and applied statistics master’s degree program in the greater Washington, D.C., metro area.

Source: VT Website

Skinny Genes - Spring 2024 CMDA Capstone Course
Virginia Tech College of Science – 14/06/2024 (00:25)

https://www.youtube.com/watch?v=RCC8kcxH4CA&list=PLk-uIJ56b7moDpm2EOLFBVCf-Mo9YqWIA&index=1

As a degree requirement, seniors in the Virginia Tech Computational Modeling & Data Analytics (CMDA) program — part of the Academy of Data Science — must enroll in the Capstone Course.

Each semester, teams of 3-4 students collaborate to work with a government, industry, or institutional partner to solve a real-world problem using data science.

This video introduces Skinny Genes, a team that worked with the Virginia Tech Center for Biostatistics and Health Data Science for its Capstone project.

OnAir Post: Virginia Tech Academy of Data Science

IDEAS – International Data Engineering And Science Association

As our world moves toward an increasingly data-driven reality, we believe it is critical that we service this data ecosystem as a whole. In the field, data science and data engineering go hand-in-hand. Data engineering lays the foundational infrastructure for data science while data science generates innovation that makes the whole thing worthwhile. To better reflect this, we started the International Data Engineering and Science Association or IDEAS for short.

Mission:
We bridge the gap between academia and the industry. We build a data engineering and science hub by providing robust resources and connecting real-world expertise together from business leaders, professionals, and promising students. Our vision is to foster the data engineering and data science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society. We empower and nurture community growth by offering online resources, conferences, latest industry trends and data related job opportunities.

Source: Website

International Data Engineering and Science Association
IDEAS – 12/10/2018 (01:00)

https://www.youtube.com/watch?v=GgBaODnJvcE&ab_channel=IDEAS

IDEAS is a non-profit organization. We bridge the gap between academia and the industry. We build a data engineering and science hub by providing robust resources and connecting real-world expertise together from business leaders, professionals, and promising students.

Our vision is to foster the data engineering and data science ecosystems and broaden the adoption of their underlying technologies, thus accelerating the innovations data can bring to society. We empower and nurture community growth by offering online resources, conferences, latest industry trends, and data related job opportunities.

OnAir Post: IDEAS – International Data Engineering And Science Association

Summary

Many universities and institutions have dedicated research centers and programs focused on various aspects of data engineering and related fields.

Universities with strong data engineering programs:

Massachusetts Institute of Technology (MIT)
Stanford University
Carnegie Mellon University
University of California, Berkeley
University of Illinois at Urbana-Champaign
These institutions offer courses in databases, data mining, and machine learning, with a focus on real-world applications.

Source: Gemini AI Overview

OnAir Post: DE Research Centers & Institutes

About

Overivew

Research centers and initiatives focusing on data engineering and related fields

Georgia Tech: The Institute for Data Engineering and Science (IDEaS) is an anchor tenant in the Coda complex, a 21-story building with a large data center, promoting collaboration across disciplines.
University of Chicago: The Data Science Institute (DSI) focuses on data science as a new discipline, offering courses in data engineering platforms for analytics and cloud computing.
NORC at the University of Chicago: NORC conducts continuous research into data engineering tools and methods to benefit its clients.
Morgan State University: The Data Engineering and Predictive Analytics Lab (DEPA Lab) focuses on practical applications of machine learning, computer vision, embedded processing, and cloud computing in data engineering and predictive analytics.
Argonne National Laboratory: Researches new techniques and tools for storing, transferring, accessing, and manipulating extremely large data.
National Cancer Institute (NCI): The Data Science & Engineering Research Group (DSERG) at NCI focuses on data mining, data management, and research software engineering.
George Mason University: The College of Engineering and Computing offers programs in data analytics engineering and related fields, with increasing enrollment in data analytics engineering programs.
American University: The Center for Data Science at American University’s School of Public Affairs offers a Master of Science in Data Science, focusing on extracting knowledge and insights from data.

Engineering Research Centers (ERCs) with data-driven research components

NSF ERC for Cell Manufacturing Technologies (CMaT)
NSF ERC for Hybrid Autonomous Manufacturing Moving from Evolution to Revolution (ERC-HAMMER)
NSF Engineering Research Center for Transformation of American Rubber through Domestic Innovation for Supply Security (NSF TARDISS ERC)
Many other NSF-supported ERCs utilize data-driven approaches in various engineering fields.

Research groups focused on data infrastructure and data pipelines

Harvard T.H. Chan School of Public Health: The Quantitative Biomedical Research Center (QBRC) supports the biomedical research community with data mining, management, and research software engineering.
Berkeley Lab and Oak Ridge National Laboratory: Developed DELERIA, a software platform for streaming large amounts of data at very high speeds
New Jersey Institute of Technology (NJIT): The Big Data Analytics Lab (BDAL) conducts research on big data infrastructure and analytics.

Other Relevant Initiatives

National AI Research Institutes: The National Science Foundation (NSF) supports various AI institutes, some of which focus on data-intensive areas like weather and climate, machine learning foundations, and molecular discovery.
South Big Data Regional Innovation Hub: Co-directed by Georgia Tech and the University of North Carolina, this hub serves 16 Southern states and D.C., focusing on data analysis, research, and workforce development.

Source: Gemini AI Overview

Web Links

Johns Hopkins Data Science and AI Institute