This paragraph is followed by a large infographic entitled IT vs. Computer Science: Which Degree is Right for You.

Please note as you discover the roles described that all included salary data represents national averaged earnings for the occupations listed and includes workers at all levels of education and experience. Education conditions in your area may vary. The included information comes from Burning-Glass.com and their analysis of 1,162,850 computer science and IT job postings from July 2018 through June 2019; 1,075,216 computer science job postings by education level from July 2018 through June 2019; 139,535 IT job postings by education level from July 2018 through June 2019; 143,469 IT job postings from July 2018 through June 2019; and 1,104,422 computer science job postings from July 2018 through June 2019.

As we go into the graphic, we see that the top panel shows the title and an image of a person typing at a computer keyboard with the Rasmussen College logoa lit torchon their T-shirt.

Below, there are two sections side by side: What is IT? on the left and What is Computer Science? on the right. Below What is IT? the text defines it as: The application of computer programs and networks to solve business processes. Professionals in this industry interact with otherswhether in-person, on the phone or via emailwhile helping solve technological problems. Under What is Computer Science? the text reads: The processes of creating usable computer programs and applications and the theories behind those processes. Professionals in this industry do a lot of independent work writing and testing logic-based code.

The next panel is entitled, What experience do I need? The text underneath notes: The majority of job postings for both fields prefer candidates with 3-5 years of experience. Below, four categories indicate how many years of experience most employers prefer for candidates in the IT and Computer Science sectors: 19.6% employers are looking for candidates with 0-2 years of experience; 48.2% employers are looking for candidates with 3-5 years of experience; 19.7% of employers are looking for candidates with 6-8 years of experience; and 12.5% of employers are looking for candidates with 9+ years of experience.

The next panel asks What education do I need? Underneath, a summary of the data reads: The majority of job postings prefer candidates to have a bachelors degree. A horizontal bar chart below the text indicates that 89% of employers in the computer science sector prefer candidates with a bachelors degree, at minimum. 84% of employers in the IT sector prefer candidates with a bachelors degree, at minimum.

The following panel, Comparing Computer Science and IT Jobs is divided into three sections: IT with hammer, crescent wrench and computer icons; Both with tool icons and coding and computer icons; and Computer Science with coding and computer icons. Each section includes common job titles, the 2018 median salary, and job outlook.

Common IT job titles include computer user support specialists, information technology project managers, and network and computer systems administrators. Computer user support specialists earned around $53,470 in 2018, and their demand is expected to grow 11% between 2016 and 2026. Information technology project managers earned about $90,270 in 2018, and their demand is expected to grow 9%. Network and computer administrators earned about $82,050 in 2018, and their demand is expected to grow 6%.

Common titles for both computer science and information technology include computer systems engineers/architects, computer systems analysts, and database administrators. Computer systems engineers/architects earned about $90,270 in 2018, and their demand is expected to grow 9%. Computer systems analysts earned about $88,740 in 2018, and their demand is expected to grow 9%. Database administrators earned about $90,070 in 2018, and their demand is expected to grow 11%.

Common job titles for Computer Science include software developers, web developers, and software quality assurance engineers and testers. Software developers earned about $105,590 in 2018, and their demand is expected to grow 24%. Web developers earned about $69,430 in 2018, and their demand is expected to grow 15%. Software Quality Assurance Engineers and Testers earned about $90,270 in 2018, and their demand is expected to grow 5%.

The next panel is entitled: What skills do I need? Below the text reads Take a look at the top skills employers are seeking in each field, some of which overlap. A venn diagram compares IT skills, computer science skills, and overlapping skills. IT skills: project management, information systems, customer service. Both: SQL, software development, Java. Computer science skills: software engineering, Python, JavaScript.

The below panel, Where can I work lists IT and Computer Science hot spots by state. The summary underneath the titles reads, You can find job opportunities across the U.S for both of these fields. But where is the concentration of jobs highest when controlling for population? Weve identified several hot spots. IT hot spots: Virginia, Colorado, North Carolina, Maryland, Arizona and Georgia. Computer science hot spots: Virginia, Washington, California, Colorado, Maryland and Massachusetts.

It should be noted that the image was created by Rasmussen College, LLC, to promote our education programs and to provide general career-related information covering computer science and IT careers. Please see rasmussen.edu/degrees for a list of the programs we offer.

Read the original post:

IT vs. Computer Science: Which Degree Is Right for You ...

Rescale

Just as cloud and Software-as-a-Service disrupted the digital world, now it is transforming industries from aerospace and medicine to artificial intelligence and machine learning

SAN FRANCISCO, Feb. 15, 2022 (GLOBE NEWSWIRE) -- Rescale, the leader in high performance computing built for the cloud to accelerate engineering innovation, today released a research paper 2022 State of Computational Engineering Report based on surveying 230+ scientists and engineers building rockets, supersonic jets, designing fusion plants and re-imagining drug discovery that reveals how cloud computing will reshape the world of physical things as profoundly as cloud has disrupted the digital computing world over the past two decades.

Computational Science & Engineering is giving early adopters competitive advantages in every major market around the world today, said Edward Hsu, Chief Product Officer, Rescale. But most workloads remain on premises. Where we see the early and most promising design and discovery breakthroughs is where organizations unlock computational barriers and embrace the cloud. Rescale provides the leading platform that enables those breakthroughs while providing IT the security and control they need.

Computational Science & Engineering includes several important computing industries where companies and governments need computational models to simulate and understand natural phenomena such as weather and quantum mechanics or how engineered products will perform under enormous stresses such as aerodynamics and crash tests. This domain includes standard computer engineering, computer science, high performance computing and supercomputing. Rescales platform also allows its customer to run workloads on the worlds fastest supercomputer, Fugaku by RIKEN in Japan, as well as leading public cloud providers such as AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud and more.

The new report, available free for download here, follows Rescales publication last year of the Big Compute 2021 State of Cloud HPC Report that reported industry analysts forecasting a $55 billion annual HPC market by 2024. Rescale believes the computational engineering and science market may double in size by that time as more and more companies take advantage of its on-premises and hybrid cloud platform to run new workloads in artificial intelligence and machine learning by giving new market entrants easy access to the worlds most powerful computing systems as an operating expense.

Story continues

The 2022 report reveals that a new era of computational engineering is fostering a second wave of massive disruption and innovation in engineered products across all industries. In driving successful engineering innovations, access to massive computing power, a library of thousands of algorithms and proprietary software applications, and automated workflows with granular insights into operating costs, Rescale aims to remove the last remaining computing bottlenecks for companies of all kinds. By giving engineers easy and unlimited access to computing power that offers up to an order of magnitude of higher performance, companies will be able to explore a much wider range of design possibilities and accelerate industry innovations.

Other key findings in the key findings include:

R&D leaders know that researchers spend much of their time on non-research related tasks (e.g., finding lost files, setting up infrastructures). But the impact of this non-R&D time on project success is not well understood;

Organizations that can help researchers focus their time on R&D are more than twice as likely to achieve project goals consistently;

Easy access to compute accelerates innovation velocity and also improves the probability of project success;

Ease of access to computing is highly correlated with the ability of organization to tackle broader science and engineering challenges;

Organizations that use cloud automation platforms generally do so as part of a digital R&D strategy.

About Rescale

Rescale is high performance computing built for the cloud, to empower engineers while giving IT security and control. From supersonic jets to personalized medicine, industry leaders are bringing new product innovations to market with unprecedented speed and efficiency with Rescale the cloud platform that delivers intelligent full-stack automation and performance optimization. IT leaders use Rescale to deliver HPC-as-a-Service with a secure control plane to deliver any application, on any architecture, at any scale on their cloud of choice.

Editorial Contact

Lonn Johnston

lonn@flak42.com

+1.650.219.7764

See the rest here:

Rescale Survey Reveals Profound Disruptions as Industry and Government Shift Workloads to the Cloud for Computational Science and Engineering...

The University of Sydney's School of Computer Science is part of theAustralian Computing Research Alliance (ACRA) group,an informal alliance of computing schools from across Australia.

Other members include the Australian National University, University of Melbourne and University of New South Wales.

This alliance encourages publication of quality peer-reviewed research, in both conferences and journals.

The ACRA group aligns with the Declaration on Research Assessment (DORA) and the Leiden Manifesto for Research Metrics.

This alliance advocates practical and robust approaches for evaluating research, aligned to those of DORA.

Venue impact factors and rankings are not measures of the scientific quality nor impact of an articles research.

ACRA strongly discourage inclusion of such rankings in job applications, promotionapplications, and other career(-progression) and evalutation processes.

They acknowledge that such rankings may serve as a guide for early career researchers, or newcomers to a research area, towards finding quality publications.

However, venue rankings have limited value in comparing one research area with another, they do not discriminate specialist from generalist venues, nor the distinct values of different venues, and they often replicate information contained in standard bibliometric tools.

This ACRA groupingproposes that career processes support academics and assessment panels in:

To assist our colleagues in transitioning, ACRA advocates that research leaders offer specific support for writing research quality and impact cases.

As an example first step, the UK Research Excellence Framework (REF) proposes consideration of the importance of the research problem solved, the approach taken and properties of the solution, the output describing such an approach, and how the approach in the research output has been built on or applied, including concrete evidence of impact.

Proposed wording for announcements and documentation includes: Applicants are actively encouraged not to include conference/journal/venue rankings, but should instead focus on the impact of their research outputs in describing the excellence of their research.

Read the original post:

Australian Computing Research Alliance - News - The University of Sydney

Best listening experience is on Chrome, Firefox or Safari. Subscribe to Federal Drives daily audio interviews onApple PodcastsorPodcastOne.

Two federal science agencies have together launched a plan to bolster U.S. strength in a field known as quantum information science and technology. The Office of Science and Technology Policy, part of the White House crew, and the National Science Foundation parted with a group called the National Q-12 Education Partnership to, as they put it, explore training and education opportunities in quantum. The Federal Drive with Tom Temin spoke with the National Science Foundation director, Dr. Sethuraman Panchanathan about whats going on and why its important.

Tom Temin: This must be important if the director is taking a personal interest in this particular program. So tell us what is quantum, quantum computing and science and why does it matter so much?

Sethuraman Panchanathan: Thank you so much, Tom. We can look at quantum from different perspectives. For example, in physics, it means a smallest, non-divisible amount of a physical property, such as energy, for example. And at that scale, the rules of nature behave very differently from how they behave at the scale of you and me. From a policy perspective, education, popular science and technology, and others, quantum is more often used as a jargon for Quantum Information Science and Engineering, or referred to as few QISE, Sometimes also called QIST, the T is for technology. This use of quantum essentially clones a set of disciplines that are involved: physics, material science, chemistry, computer science, engineering, mathematics and so on. So in collaboration with industry, that youre using unique properties that exist at a quantum scale, to develop practical applications, such as quantum computers, quantum sensors and quantum communication networks. In this context, you often hear about quantum education of quantum workforce as other variations on this theme.

Tom Temin: And this is a technology that China is pursuing. And when we get down to the level of quantum mechanics used in quantum calculation, what can it do that we cant do now?

Sethuraman Panchanathan: The speed of computing that you can do, the speed at which you can do this, the scale at which you can do this, the energy consumption that goes with it, that is a much lower energy consumption, all of things make the future of computing exceedingly exciting. We can solve mega problems, huge problems, whether it is related in relation to climate, or predictive properties, like the prediction of a pandemic, for example. Working with the human genome data, and a whole host of things where you can actually process things at speed and at scale. And thats what makes this very exciting. Clearly, there are many countries who are also pursuing the approaches to enhancing the capacities and capabilities and technologies in quantum, because its a leading edge technology, the future industry, if you want to look at it that way. We have to be in the vanguard of how we make sure that we are not only producing the research, the advanced research concepts, but also translating them into technologies, working with industry, but most importantly, training this diverse workforce that is capable of engaging in this new area, which is not just a disciplinary area, as I said earlier, it is an interdisciplinary area by bringing together multiple disciplines.

Tom Temin: Now you have several companies that have claimed they are at the quantum computing level and using the units of quantum computing that have come into the parlance. Google I think is one, maybe IBM is one, maybe Amazon is one. But it sounds like youre talking to something larger than that, which is been hard to verify. So my question is, isnt this what theyre teaching now anyway, in the computer science schools?

Sethuraman Panchanathan: So when you teach at a computer science school, Im a computer scientist myself, you might see one facet of quantum computing, as it pertains to the computer science aspects of it. But when you want to sort of train people in the broadest sense of what quantum means, for example, a quantum engineer must know elements of coding, quantum mechanics, low temperature physics, material science and electronics in order to build and operate a computer. So as you can see, Tom, it requires training, which brings inspirations from multiple disciplines in training the quantum workforce of the future, and quantum researchers of the future. They may pursue research in a particular facet of it, but they need to have the broadest understanding of what it means to work in this area of quantum. So when you talk about the industry, therefore, theyre looking for such talent being generated at scale, so that we might be in the vanguard of competitiveness.

Tom Temin: Were speaking with Dr. Sethuraman Panchanathan, director of the National Science Foundation. The difference here I guess, is in traditional computer science and electrical engineering, one can proceed relatively free of the other, because you can run something in a new programming language on old hardware. And new hardware can run software designed for an older piece of hardware. But in this case, it sounds like the nation needs a systems approach to getting to quantum.

Sethuraman Panchanathan: Thats an excellent way of saying it Tom, a systems approach. Thats exactly what it is. Right from determining the basic materials to the building of the devices. Theyre building of the system, and programming of the system to do the things that you want it to do. All of this requires training and understanding at the scale that we need to, for example, the quantum workforce, we might need a diverse set of specialists. While they may have this broad set of training and specializations in certain aspects. For example, you could have qualified machinists, producing intricate parts to academic researchers exploring the theoretical limits of a quantum scale environment. So because the field is expanding rapidly, alongside swift technological progress in quantum computing and networking, the demand for qualified workers is increasing, as you talked about earlier, from industry.

But our schools may not always be ready to switch from a disciplinary training to the diverse, multidisciplinary one needed here. So industry, academia and governments alike are facing shortages of qualified people. Which means to every problem that is an opportunity, isnt it Tom? Therefore, the shortage in the QISE workforce opens up opportunities for broadening participation, and including because we talk about diversity of discipline, so diversity of so many facets that can be brought to this challenge that we are facing right now. So for example, minority serving institutions as partners in solving the workforce shortage issue would be a fantastic outcome. So this way, thanks to the disciplinary diversity QRST and QISE offers unique opportunities to broaden participation, and include meaningful activities to include IQ system, missing millions, the talent that is available in our nation, across the broad socioeconomic demographic, and the geographic diversity of the nation being brought fully into the workforce and into the research realm, and creating new entrepreneurs of the future and robust industries of the future. So thats what I believe this quantum revolution will bring to bear.

Tom Temin: All right, so now we have an actual program of the NSF and also of the White House, and of this group called the Q-12, National Education Partnership, what is going to happen under this trilateral type of agreement?

Sethuraman Panchanathan: So the National Q-12 education partnership as you outline, it is a partnership of OSTP, NSF, and key community stakeholders, including industry, professional societies and academia. So it takes all of the above in terms of coming together to build this future. So it builds upon efforts spearheaded by OSTP, an NSF to double up nine key QIS concepts that can be introduced to and adapted for computer science. You talked earlier about what can be done to augment these disciplines adapted for computer science, mathematics, physics and chemistry courses throughout middle and high schools. So the work focuses on helping Americas educators ensure a strong quantum learning environment, from providing classroom tools for hands on experiences, to developing educational materials, to supporting pathways to quantum careers.

So together as a partnership that you talked about, we hope to foster a range of training opportunities to increase the capabilities, diversity and a number of students who are ready to engage in the quantum workforce. So as I said earlier, this partnership provides teaching materials, curriculum development frameworks, learning and teaching resources, informative events and coordination for industry involvement, ultimately, creating opportunities for both teachers and students.

Tom Temin: You have to have the teachers capable of imparting this knowledge in order to have students interested in it. So again, sounds like you need a vertical approach from student all the way up through say, faculty and administration of some of these institutions.

Sethuraman Panchanathan: Exactly, Tom, you brought up the point that is precisely what it is. It is at all levels that we have to address. So it is not just at the research level. It is not just as a teacher training level, all the way up to student levels. How do they excite students to be able to engage in this quantum revolution? Right? For example, when this plan was released, we also announced a $2.2 million grant supplement to the Montana Arkansas, MonArk NSF Quantum Foundry, led by the Montana State University and the University of Arkansas to create the Arkansas, Montana, South Dakota to the quantum photonics alliance to the QP alliance. This alliance extends the MonArk Quantum Foundry that we had already funded to the tune of about $20 million, which focused on novel materials and devices for future quantum computing and networking, as well as chip scale integrated quantum photonics devices. So what were trying to do here is by these augmentations, and as you know, University of Arkansas at Pine Bluff is historically a Black university. And so its thrilling to see how we might bring opportunities to all institutions to be able to engage, develop the appropriate curriculum, train the teachers and also the foundry being such that that is accessible to any fifth or eighth grader whos excited about wanting to play with quantum and learn more and get excited I call it the quantum spark. How do we get them to get that? So these kinds of infrastructure investments then make possible those kinds of things happening also exciting students, even at the high school or even before, and then university students, and then building the research capacity at the same time, all of this happening at the same time. So in fact, the NSF released a dear colleague letter on advancing quantum education workforce development, which essentially opens up existing programs that NSF has with tribal colleges and universities called TCUP Program, and NSFs innovative technology experiences for students and teachers writers program. And NSF includes program among many other programs, to activities that broaden participation in quantum workforce and education.

Tom Temin: Now, early in the Space Race, back in the late 1950s, people saw Sputnik go overhead. And there was the majesty of the great expanse that inspired a generation of people to go into science and engineering in the Space Race. You cant see quantum, you cant touch it. And so how do you get young kids interested in it do you think that say, wow, thats what I want to do?

Sethuraman Panchanathan: The way you do that is, you prove an excellent point, the way you do that is by communicating the excitement of quantum by actually them looking at the outcomes of what a quantum computing can do, or a quantum sensor can do. You know, these days people are working with clearly with these phones that they carry all around, right, which is no trillions and millions of transistors and devices. So what you do is you say, this is what a quantum computer will do. Contrasting it to what it is today, in your hand now, what are the kinds of things it will do? How will it reach, change the whole way in which we look at the future in terms of concrete examples? So the more we talk about it in terms of outcome terms, we can get people more excited. In addition to being able to see things its about experiencing things.

Continue reading here:

A new federal effort to bolster the nations expertise in quantum computing - Federal News Network