https://gfycat.com/frigidsphericalgnatcatcher
https://www.artnome.com/news/2019/6/30/machine-learning-for-art-deep-kitsch-or-creative-augmentation
AI, IoT and cloud computing key drivers of acquisitions in technology, media and telecoms over last 2 years
In 2018, the total transaction value of M&A deals announced in the global TMT sector reached $630 billion, up 23% from 2017 and significantly ahead of other markets in both 2017 and 2018, according to GlobalData’s Deals Database.
GlobalData’s latest thematic report, Mergers & Acquisitions in Technology Media and Telecoms (TMT), reveals the most notable deals over the last five years, identifies their key thematic drivers, and predicts potential future acquisition targets.
Graduate Programs in Data Science and Big Data Analytics
Graduate Programs
in Data Science and Big Data Analytics
Last updated: July 9, 2019
See below for online programs and courses and other options and resources
Aegis School of Business, Data Science & Telecommunication (India)
Post Graduate Program in Business Analytics and Big Data
American Sentinel University
Master of Health Care Informatics
Arizona State University
Barcelona Graduate School of Economics (Spain)
Barcelona Technology School (Spain)
Ben-Gurion University of the Negev (Beer-Sheva, Israel)
MSc in Information Systems Engineering with focus on Data Mining and Business Intelligence
Bentley University
Berlin School of Economics and Law (Germany)
Master of Science in Business Intelligence and Process Management
Brown University
Carnegie Mellon University
Master of Computational Data Science
Catholic University of America
The Master of Science in Business Analysis
Central Connecticut State University
Master of Science in Data Mining
Graduate Certificate in Data Mining
Central Michigan University
Graduate Certificate in Data Mining
City University London (UK)
Clarkson University
Columbia University
Master of Science in Data Science
Master of Science in Information and Knowledge Strategy
Certification of Professional Achievement in Data Sciences
Cornell University
Dartmouth College
PhD in Quantitative Biomedical Sciences
Data ScienceTech Institute (Paris and Nice, France)
DePaul University
Drexel University
Master of Science in Business Analytics
Donau-Universität Krems (Austria)
Dublin City University (Ireland)
MSc in Computing (Data Analytics Major)
Dublin Institute of Technology (Ireland)
MSc in Computing (Data Analytics)
Ecole Central Paris (France)
Eindhoven University of Technology (Netherlands)
Fordham University
George Mason University
PhD in Computational Sciences and Informatics
Georgetown University
Master of Science in Analytics with a concentration in Data Science
George Washington University
Harrisburg University
Harvard University
Master of Science (SM) in Computational Science and Engineering (CSE)
Heriot-Watt University (Edinburgh, UK)
IE University (Madrid, Spain)
Master in Business Analytics and Big Data
Illinois Institute of Technology
Master of Science in Marketing Analytics and Communication
Imperial College (London, UK)
MSc in Data Science and Management
Indiana University Bloomington
Indiana University-Purdue University Indianapolis School of Informatics
Iowa State University
Jacksonville University
Master of Science in Applied Business Analytics
Jheronimus Academy of Data Science (Netherlands)
Data Science Master’s Programs
John Hopkins University
Master of Science in Bioinformatics
Kennesaw State University
Master of Science in Applied Statistics
Lipscomb University
Master of Science in Informatics and Analytics
Loras College
Loyola University Maryland
Master of Science in Data Science
Louisiana State University
Master of Science in Analytics
Maastricht University (Maastricht, the Netherlands)
MSc in International Business/Business Intelligence
Macquarie University (Sydney, Australia)
Merrimack College
Master of Science in Data Science
Michigan State University
MIT
Master of Business Analytics (M.B.An.)
New College of Florida
New Jersey Institute of Technology
Graduate Certificate in Data Mining
New York University
MS in Applied Urban Science and Informatics
North Carolina State University
Northeastern University
Graduate Certificate in Data Science
Northwestern University
Master of Science in Analytics
Nova Northeastern University
Graduate Certificate In Business Intelligence / Analytics
Oakland University
Master of Science in IT Management – Business Analytics
Pace University
MS in Customer Intelligence and Analytics
Purdue University
Rensselaer Polytechnic Institute
Master of Science in Business Analytics
Robert Gordon University (Aberdeen, UK)
Rutgers University
MBA in Analytics and Information Management
Saint Mary’s College
Master of Science in Data Science
Saint Peter’s University
Master of Science in Data Science
Stanford University
Matser of Science in Biomedical Informatics
Mining Massive Data Sets Graduate Certificate
Stevens Institute’s Wesley J. Howe School of Technology Management
Master of Science in Business Intelligence and Analytics
Graduate Certificate in Business Intelligence and Analytics
Swansea University (Wales, UK)
Syracuse University School of Information Studies
Graduate Certificate of Advanced Studies in Data Science
Texas A&M University
Master of Science in Analytics
Università di Pisa
University College Dublin (Ireland)
University College London (UK)
University of Auckland (Auckland, New Zealand)
Master of Professional Studies–Data Science
University of California, San Diego
Master of Advanced Study in Data Science and Engineering
University of Chicago
Master of Science in Analytics
M.S. in Computer Science/Data Analytics
University of Cincinnati
University of Connecticut
MS in Business Analytics and Project Management
University of Dundee (Dundee, UK)
University of Edinburgh (UK)
University of Essex (Colchester, UK)
MSc Big Data and Text Analytics
University of Glasgow (UK)
University of Illinois at Urbana-Champaign
Master of Science in Statistics/Analytics Concentration
University of Iowa
Graduate Certificate in Business Analytics
University of Magdeburg (Magdeburg, Germany)
MSc in Data and Knowledge Engineering
University of Maryland
Master of Science in Business for Marketing Analytics
University of Maryland University College
Master of Science in Data Analytics
University of Massachusetts, Dartmouth
University of Michigan-Dearborn
University of Rochester Simon School of Business
University of San Francisco
University of Southern California Marshall School of Business
Master of Science in Business Analytics
University of Stirling (UK)
University of Tennessee
Master’s in Business Analytics
Graduate Certificate in Business Analytics
University of Texas at Austin
Master of Science in Business Analytics
University of Virginia
Master of Science in Data Science
University of Warwick (UK)
University of Washington
Virginia Commonwealth University
Master of Science in Business with a decision sciences and business analytics concentration
Worcester Polytechnic Institute
York University
Fellowship/Training Programs
Online University Programs
Aegis School of Business, Data Science and Telecommunication
Post Graduate Program in Business Analytics and Big Data
American Sentinel University
Master of Geospatial Information Systems Program
Arizona State University
Master of Advanced Study in Health Informatics
Bay Path University
Brandeis University
Master of Science in Strategic Analytics
Carnegie Mellon University
Master of Science in Business Analytics
City University of New York
Elmhurst College
Harrisburg University
Indiana University
Lewis University
Master of Science in Data Science
Maryville University
Master of Science in Business Data Analytics
Northwestern University
Master of Science in Predictive Analytics
Nova Northeastern University
Graduate Certificate In Business Intelligence / Analytics
Saint Joseph’s University
Master of Science in Business Intelligence & Analytics
Saint Mary’s College
Southern Methodist University
Master of Science in Data Science
Thomas Edison State College
University of North Carolina
MBA (Data Analytics and Decision Making Concentration)
University of California, Berkeley
Master of Information and Data Science
University of California, Riverside
Master of Science in Engineering (Data Science specialization)
University of Wisconsin
Online Courses (Free)
Coursera
Data Analysis and Statistical Inference
Process Mining: Data science in Action
Data Society Online Courses
Intro to Data Science, Machine Learning, etc.
edX
Data Science and Machine Learning Essentials
Wiretaps to Big Data: Privacy and Surveillance in the Age of Interconnection
Harvard University
Udacity
Introduction to Artificial Intelligence
Online Courses (for a fee)
365DataScience
Booz Allen Hamilton
Coursera
Executive Data Science Specialization
MIT
Tackling the Challenges of Big Data
Udacity
Introduction to Hadoop and MapReduce
University of California, Irvine
Note: For similar lists, including undergraduate programs, see here and here and here and here
Resources
2019 Salaries Of Data Scientists
A Very Short History of Data Science
A Very Short History of Big Data
A Very Short History Of Artificial Intelligence (AI)
Posted in Big Data Analytics, Data Science
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AI by the numbers: Surveys and forecasts, July 2019
What is the state-of-AI in July 2019? Recent surveys, studies, and forecasts illustrate future expectations and current realities regarding the impact of AI on jobs; the conditions, challenges, and benefits of AI adoption; and bits of data related to data or AI fuel.
$142,859: Average salary of machine learning engineer, May 2019 [Indeed]
29.1%: Increase in AI job postings on Indeed over the last 12 months, down from 57.9% increase from May 2017 to May 2018 [Indeed]
20%: Percentage of job seekers (11,000) that fear they will one day lose their job to AI [Ziprecuiter]
Read more here
The End of Big Data and the Beginning of Big Data AI
In December 2014, I asked whether we were at the beginning of “the end of the Hadoop bubble.” I kept updating my Hadoop bubble watch (here and here) through the much-hyped IPOs of Hortonworks and Cloudera. The question was whether an open-source distributed storage technology which Google invented (and quickly replaced with better tools) could survive as a business proposition at a time when enterprises have moved rapidly to adopting the cloud and “AI”—advanced machine learning or deep learning.
Read more here
Posted in Big Data Bubble
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A New Data Science Journal from Harvard and MIT
The Harvard Data Science Initiative (HDSI) and the MIT Press just launched Harvard Data Science Review (HDSR), a “premier research journal, a leading educational publication, and a popular magazine.”
The inaugural issue of HDSR includes contributions from internationally renowned scholars and educators, as well as leading researchers in industry and government, such as Christine Borgman (UCLA), Rodney Brooks (MIT), Emmanuel Candes (Stanford University), David Donoho (Stanford University), Luciano Floridi (Oxford/The Alan Turing Institute), Alan M. Garber (Harvard), Barbara J. Grosz (Harvard), Alfred Hero (University of Michigan), Sabina Leonelli (University of Exeter), Michael I. Jordan (University of California, Berkeley), Andrew Lo (MIT), Maja Matari? (University of Southern California), Brendan McCord (US Department of Defense), Nathan Sanders (Warner Media), Rebecca Willett (University of Chicago), and Jeannette Wing (Columbia University).
Sample articles in the first issue:
- A trio of articles on “Data Life Cycle” by Christine Borgman, UCLA, Sabina Leonelli University of Exeter, and Jeannette Wing, Columbia University
- “A Data in the Life: Authorship Attribution in Lennon-McCartney Songs” by Mark Glickman, Harvard University; Jason Brown, Dalhousie University; Ryan Song, Harvard University
- “Machine-learning with Statistical Imputation for Predicting Drug Approvals” by Andrew W. Lo, MIT; Kien Wei Siah, MIT; and Chi Heem Wong, MIT
Featured articles on AI:
- “Artificial Intelligence—The Revolution Hasn’t Happened Yet” by Michael I. Jordan, University of California, Berkeley, with 11 discussants from pioneering roboticists to leading AI researchers and Jordan’s rejoinder
- “A Unified Framework of Five Principles for AI in Society” by Luciano Floridi and Josh Cowls, University of Oxford and The Alan Turing Institute
- “Mining the Past: Artificial Intelligence” by Stephanie Dick, University of Pennsylvania
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A Very Short History of Portable Music
You will find more infographics at Statista
From BuzzFeed:
The recent discourse about AirPods, whether they’re good or bad, or neutral themselves but separating everyone from the physical, echoes what the original Walkman inspired. “With the advent of the Sony Walkman came the end of meeting people,” a CBS Records vice president complained to the Post. “It’s like a drug: You put the Walkman on and you blot out the rest of the world.” George F. Will defended the Walkman because it separated you from the walkabout realities of everyday life! According to an academic paper, a French interviewer asked young people “whether they are losing contact with reality,” “whether the relations between eyes and ears are changing radically,” “whether they are worried about the fate of humanity.” Allan Bloom’s argument about the decline in college education, The Closing of the American Mind, features a throw-yourself-down-the-stairs grotesque of a teenage boy, toward whom the entire world has now been oriented, wearing a Walkman.
“We have entered the age of the urban hermit,” Walter Shapiro wrote in ’82, lamenting the end of the boom box and calling the Walkman “a potent symbol of an antisocial electronic future.”
Chris Hoffmann / Picture Alliance / Getty Image
Sony debuts its latest Walkman model in 1983.
Results from a New Survey of Data Privacy Regulations in 61 Countries
Privacy policy
It seems that no week passes by without yet another revelation of how the most successful tech companies play with our data. When your business is driven by data, you are driven to ignore possible data leaks, to question the rights of your users to their own data, and to use double-speak whenever the question of data privacy arises.
Read more here
The $250K Median Salary of Data Scientists Managers is Why Google and Salesforce Invested $20B in Self-Service Data Science
2019 salaries of data scientists–managers (Burtch Works)
Earlier this month, Salesforce announced the acquisition of data visualization and analytics leader Tableau for $15.7 billion and Google announced the acquisition of data discovery and analytics platform Looker for $2.6 billion. Both acquired companies will beef up the acquiring companies’ Data Science as a Service (DSaaS) capabilities, providing their enterprise customers with a wide range of easy (or easier) to use tools that “democratize” data preparation, integration, analysis, and presentation.
With self-service data science, all business users that do not have statistical analysis background and don’t know how to code can make data-driven decisions, instead of relying on expensive and hard-to-find data scientists.
How expensive? The average annual base salary for an experienced data scientist in a management position is currently $257,443 according to Burtch Works.
Read more here