Tell your Kids to be Data Scientists (not doctors)!

“According to Burtch Works’ 2014 study of salaries for data scientists… those responsible for a team of 1-3 earn [a median salary of] $140,000 and those responsible for a team of 10 or more earn $232,500.

By contrast, the mean average annual income for a lawyer in America was $131,990 in 2013, while doctors earned$183,940, according to data from the U.S. Bureau of Labor Statistics.”

Source: Linda Burtch, Executive Recruiter.

“It is time to stop subsidizing schools (colleges & universities) that are not producing good results.” (Obama)

NYT blog: The president said rising prices at colleges were partly driven by the distribution of $150 billion in federal assistance to students. He said colleges that allowed tuition to soar should be penalized by getting less federal aid for their students, while colleges that held down costs should get more of the money. He has also announced plans to create a federal rating system that would allow parents and students to easily compare colleges and would urge Congress to pass legislation to link the student aid to the rating system.

I am delighted to share that at NEU we are developing a learning analytics platform that will continuously collect data on key performance indicators to help us make effective decisions.

Big and Open Data from Government

Governments are starting to realize the power of big data and analytics. This McKinsey article shares how three majors in the US share how their governments are making more data available and also improving the effectiveness and efficiency of services. Another source of data for our upcoming Master of Engineering in Big Data at NEU!

Download article Open government Data of the people for the people.

Talent Challenge in the Data Analytics Revolution

Eight senior executives with big data responsibilities (AIG, American Express, Samsung Mobile, Siemens Healthcare, TD Bank, and Wal-Mart Stores) met to discuss big data challenges at their companies. This McKinsey Report outlines their findings: one of them is talent. Couple of highlights in this respect:

        “A widespread observation among participants was that the usual sources of talent—elite universities and MBA programs—are falling short. Few are developing the courses needed to turn out people with these combinations of skills”. 

        “They need more “translators”—people whose talents bridge the disciplines of IT and data, analytics, and business decision making. These translators can drive the design and execution of the overall data-analytics strategy while linking IT, analytics, and business-unit teams. Without such employees, the impact of new data strategies, tools, and methodologies, no matter how advanced, is disappointing”.

Our upcoming NEU Master in Engineering in Big Data (focused on developing these competencies) will certainly help provide them with these professionals!

Six Top Tech Trends to Watch in 2014 (of course, Big Data is one of them)


New Engineering University right on target with its Master of Engineering in Big Data! Read more in this Baseline article 6 Top Tech Trends 2014 (1) and watch for updates and news in!





Picture courtesy of

Big Data: The Next Frontier for Innovation, Competition & Productivity

This McKinsey Global Institute report is a must read. NEU ( is currently developing a Master of Engineering in Big Data to address the need for engineering talent with competencies in big data management, analysis, visualization and data-driven decision making. Anyone needs more info, please contact me. We have scholarships for our first students and we are looking for full-time and part-time faculty.


Big Data: The Next Frontier for Innovation, Competition and Productivity

McKinsey Global Institute Report

“There will be a shortage of talent necessary for organizations to take advantage of big data. By 2018, the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.”