The new Bureau of Labor Statistics labor projections are out for the 2006-2016 period, and once again, despite concerns over the impact of globalization, computing-related occupations are still projected to grow the quickest among all “professional and related occupations.” According to BLS projections, computer and mathematical science occupations are expected to grow by about 24 percent over the next decade, a rate that would add 822,000 new jobs to the field. Those 822,000 new jobs are third only to “Health care practitioners and technical occupations” (1,423,000 new jobs, a 19.8 percent growth rate) and “Education, training and library” occupations (1,265,000 new jobs, a 14 percent growth rate).
The Labor Department projections found that even though the growth rate for computer and mathematical science occupations has slowed compared to the previous decade — as the industry matures and “routine work is outsourced overseas” — strong growth in other aspects of computing will continue to create increasing opportunities in the field.

Computer and mathematical science occupations are projected to add 822,000 jobs—at 24.8 percent, the fastest growth among the eight professional subgroups. The demand for computer-related occupations will increase in almost all industries as organizations continue to adopt and integrate increasingly sophisticated and complex technologies. Growth will not be as rapid as during the previous decade, however, as the software industry begins to mature and as routine work is outsourced overseas. About 291,000—or 35 percent—of all new computer and mathematical science jobs are anticipated to be in the computer systems design and related services industry. The management, scientific, and technical consulting services industry is projected to add another 86,000 computer and mathematical science jobs. This expected 93-percent increase is due to the growing need for consultants to handle issues such as computer network security. Self-employment among computer and mathematical workers is anticipated to increase 19 percent, with most growth appearing among network systems and data communications analysts.

The report projects that, of the six occupations that will be among the fastest growing and register the largest numerical growth, three will be computing related occupations:

  • Computer software engineers, application;
  • Computer systems analysts;
  • and Network systems and data communication analysts.

(The other three are “Home health aides,” “Medical assistants,” and “Personal and home care aides.”)
You can view most of the detail, including information about the methodology used, in the article titled, “Occupational employment projections to 2016” (pdf). The Monthly Labor Review Online has additional articles covering all aspects of the BLS’ employment outlook.
Projections are notoriously difficult to get right, obviously, but it’s encouraging to see that the opportunity that we in the community see in the field (that often runs counter to the *perceptions* of the field) appears to be echoed in these projections.
We’ll have much more detail as we dig into the articles and data a bit more, so stay tuned….
Update: (12/7/2007) — Here’s one interesting cut of the data showing how the computer science job projections compare to the other science and engineering disciplines. (This is also a good excuse for me to try out Google’s new Charts API.)


 

A Washington Post article today talks about the first petascale supercomputers expected to come online next year. The article points out the vast areas of other fields, which are assisted by computing at such a large scale including geography, medicine, and even financial markets. Here’s a sample:

The first “petascale” supercomputer will be capable of 1,000 trillion calculations per second. That’s about twice as powerful as today’s dominant model, a basketball-court-size beast known as BlueGene/L at the Energy Department’s Lawrence Livermore National Laboratory in California that performs a peak of 596 trillion calculations per second.
The computing muscle of the new petascale machines will be akin to that of more than 100,000 desktop computers combined, experts say. A computation that would take a lifetime for a home PC and that can be completed in about five hours on today’s supercomputers will be doable in as little as two hours.
“The difficulty in building the machines is tremendous, and the amount of power these machines require is pretty mind-boggling,” said Mark Seager, assistant department head for advanced computing technology at Lawrence Livermore. “But the scientific results that we can get out of them are also mind-boggling and worth every penny and every megawatt it takes to build them.”

An interesting read and definitely worth checking out.