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Computer software engineer job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected computer software engineer job growth rate is 21% from 2018-2028.
About 284,100 new jobs for computer software engineers are projected over the next decade.
Computer software engineer salaries have increased 10% for computer software engineers in the last 5 years.
There are over 121,000 computer software engineers currently employed in the United States.
There are 326,143 active computer software engineer job openings in the US.
The average computer software engineer salary is $102,511.
| Year | # of jobs | % of population |
|---|---|---|
| 2021 | 121,000 | 0.04% |
| 2020 | 245,515 | 0.07% |
| 2019 | 163,965 | 0.05% |
| 2018 | 358,195 | 0.11% |
| 2017 | 336,822 | 0.10% |
| Year | Avg. salary | Hourly rate | % Change |
|---|---|---|---|
| 2025 | $102,511 | $49.28 | +3.4% |
| 2024 | $99,133 | $47.66 | +2.3% |
| 2023 | $96,888 | $46.58 | +1.8% |
| 2022 | $95,177 | $45.76 | +1.7% |
| 2021 | $93,578 | $44.99 | +1.9% |
| Rank | State | Population | # of jobs | Employment/ 1000ppl |
|---|---|---|---|---|
| 1 | District of Columbia | 693,972 | 1,140 | 164% |
| 2 | Washington | 7,405,743 | 5,715 | 77% |
| 3 | Delaware | 961,939 | 630 | 65% |
| 4 | Virginia | 8,470,020 | 5,151 | 61% |
| 5 | Massachusetts | 6,859,819 | 3,854 | 56% |
| 6 | Vermont | 623,657 | 347 | 56% |
| 7 | Maryland | 6,052,177 | 3,235 | 53% |
| 8 | Rhode Island | 1,059,639 | 560 | 53% |
| 9 | Oregon | 4,142,776 | 2,131 | 51% |
| 10 | Utah | 3,101,833 | 1,561 | 50% |
| 11 | California | 39,536,653 | 18,576 | 47% |
| 12 | Colorado | 5,607,154 | 2,639 | 47% |
| 13 | New Hampshire | 1,342,795 | 576 | 43% |
| 14 | Wyoming | 579,315 | 234 | 40% |
| 15 | Montana | 1,050,493 | 383 | 36% |
| 16 | North Dakota | 755,393 | 273 | 36% |
| 17 | Idaho | 1,716,943 | 607 | 35% |
| 18 | Minnesota | 5,576,606 | 1,881 | 34% |
| 19 | Alaska | 739,795 | 245 | 33% |
| 20 | Connecticut | 3,588,184 | 1,160 | 32% |
| Rank | City | # of jobs | Employment/ 1000ppl | Avg. salary |
|---|---|---|---|---|
| 1 | Suitland | 3 | 12% | $88,999 |
| 2 | Livermore | 5 | 6% | $134,315 |
| 3 | Natick | 2 | 6% | $101,880 |
| 4 | Mountain View | 3 | 4% | $134,445 |
| 5 | Cupertino | 1 | 2% | $134,363 |
| 6 | Atlanta | 5 | 1% | $81,308 |
| 7 | Huntsville | 2 | 1% | $76,910 |
| 8 | Ann Arbor | 1 | 1% | $84,602 |
| 9 | Bellevue | 1 | 1% | $131,373 |
| 10 | San Diego | 3 | 0% | $114,018 |
| 11 | Albuquerque | 2 | 0% | $78,514 |
| 12 | San Francisco | 2 | 0% | $134,889 |
| 13 | San Jose | 2 | 0% | $134,172 |
| 14 | Baton Rouge | 1 | 0% | $81,171 |
| 15 | Boston | 1 | 0% | $102,022 |
Hampton University
Portland State University
California State University - Sacramento
Nova Southeastern University
Carnegie Mellon University
Kettering University
Seminole State College of Florida
Eastern Washington University
Northwestern University
Stevens Institute of Technology
Southwestern University
University of Wisconsin - Eau Claire
University of Colorado at Colorado Springs
Willamette University
Texas A&M University
Nova Southeastern University
Aurora University
Sepehr Mohammadian: 2. Computer science remains in high demand in today's job market, with California exemplifying this trend. In recent years, the number of open positions in the state has exceeded the average demand rate by 1.5 times. At the University of the Pacific, our CS program is designed to equip students with the necessary skills and experiences to thrive in this landscape. Through our co-op program, in collaboration with recruiters such as Nvidia, HP, and Lawrence Livermore National Lab, students have the opportunity to participate in paid internships lasting approximately 8 months. These internships provide invaluable exposure to real-world work settings and allow students to apply their knowledge in practical contexts and gain valuable industry insights. It is worth noting that many of our graduates choose to return to the same company post-graduation.
Sepehr Mohammadian: 1. This is a pretty broad question. CS degree graduates can engage in different tasks and responsibilities based on the nature of their profession. Examples include 1) software engineering, in which the individual's efforts are toward leading or contributing to software development projects, 2) IT management, where the individual mainly oversees technology strategies and their implementation, 3) cybersecurity, where the individual's responsibilities are associated with the protection of systems and data from cyber threats, and 4) data and AI engineering, where the individual works on machine learning applications and analyze and derive insights from large datasets.
Sepehr Mohammadian: 3. The appeal of computer science among students is often attributed to the relatively short journey from concept to execution. Unlike many engineering fields where hardware constraints can impede the swift realization of ideas, the development of software offers a streamlined process. With nothing more than access to a computer and relative proficiency in programming, individuals can swiftly transform their ideas into tangible solutions. This accessibility and agility contribute to the popularity of CS among aspiring students. On the other hand, CS heavily relies on abstract analysis as a fundamental skill for success. Students who struggle with grasping abstract concepts may find themselves frustrated or disengaged with the field.
Dr. Yohannes Bekele: By entering the computer engineering profession now, individuals can take advantage of the high skilled-power demand in the field, diverse career paths broadly classified under hardware and software sub-areas, lucrative salaries as compared to other fields, continuous learning opportunities, and the potential for entrepreneurship in changing ideas into startup businesses easily. It is a field that offers long-term growth prospects and the chance to contribute to the development of cutting-edge technologies.
Dr. Yohannes Bekele: In being a computer engineer, people like all the advantages in the field including attractive compensation packages and lucrative salaries, the intellectual satisfaction of solving complex problems, opportunities for continuous learning and innovation as technology rapidly evolves, ability to work on cutting-edge technologies and contribute to their development and the diverse career paths across hardware, software, embedded systems, and various industries. The main struggle most people have in becoming a computer engineer is its steep learning curve especially when it comes to hardware design and related areas. It takes years to become proficient in the field as compared to other fields such as software programming where a relatively shorter amount of time is enough to join the workforce. In addition, the ever evolving environment with constantly changing technologies, standards, and the need to keep learning new things makes it difficult to achieve the epitome in the field.
Wu-chang Feng: It's hard to generalize across an entire discipline, but I'd say the vast majority of time, we are constantly learning what is being done, constantly building on top of that, and constantly solving any problems along the way.
Wu-chang Feng: I believe so. With the advent of generative AI, it is now much easier to go from idea to implementation. We can now build things closer to the limits of our imagination.
Dr. Sridhar Ramachandran: As a Computer Science graduate, it’s vital to work on independent projects outside of course projects or assigned tasks. This allows you to apply your knowledge and explore new areas and opportunities. Showcasing these projects in a digital portfolio provides a visual and tangible representation of your skills and growth. Emphasizing your attention to clean coding and documentation reflects your professionalism and attention to detail. The field is vast and rapidly evolving, so stay curious, keep learning, and enjoy your professional journey. Avoid getting caught up in fleeting trends. Understanding the difference between work, job, and career is crucial; find work and jobs that contribute to your long-term career aspirations while steadily maintaining your focus on your career goals. In addition, being aware of the organization’s environment and culture at the workplace you intend to work at is important. Familiarize yourself with workplace methodologies like Agile, Just-In-Time (JIT), DevOps, Scrum, Kanban, Lean, Feature-Driven Development (FDD), Extreme Programming (XP), Rapid Application Development (RAD), and Software Development Life Cycle (SDLC) (to name a few). Each organization will have its unique blend of these elements, and knowing what works best for you will help you thrive in your chosen career path. Remember, the key to success in this dynamic field is continuous learning and adaptation.
Dr. Sridhar Ramachandran: To optimize your earning potential in the field of Computer Science, it’s important to establish a solid educational foundation and master widely-used programming languages and technologies. Internships offer invaluable hands-on experience, and obtaining industrial certifications in specialized areas can significantly increase your marketability. Cultivating a robust professional network and honing your salary negotiation skills are also key. It’s important to stay updated with the latest technological advancements, salary trends, and consider focusing on a niche area in high demand. From the outset of your career conversations, it’s beneficial to communicate clear salary expectations. Conduct thorough research on the current market rates for the role you’re targeting to ensure your expectations are realistic. Understanding your worth in the market is crucial, and you should aim for a salary that not only reflects your skills and experience but also keeps you motivated and invested in your work. Remember, while salary is a significant factor, aspects like work-life balance and job satisfaction also play a vital role in your overall career satisfaction. Aim for a win-win salary negotiation where both you and your employer feel the compensation is fair and equitable.
Dr. Sridhar Ramachandran: The field of Computer Science is a dynamic and rapidly evolving landscape. Over the next 3-5 years, several skills will gain prominence. Artificial Intelligence and Machine Learning will be indispensable due to the surge in data generation. Cybersecurity will become critical as our reliance on digital systems intensifies, and it will be everyone’s prerogative to ensure the security of their digital assets. Essential cybersecurity skills will include understanding of network security, proficiency in security software tools, knowledge of threat and vulnerability assessment, and the ability to implement incident response and recovery plans. Proficiency in Cloud Computing platforms such as AWS, Google Cloud, and Microsoft Azure will be sought after as businesses increasingly transition to the cloud. Data Science and Analytics will continue to be pivotal for data-driven decision making. Quantum Computing, though nascent, holds the potential to revolutionize the field. Soft skills like communication, teamwork, and problem-solving will be vital in managing complex, interdisciplinary projects. In this dynamic field, employees who know how to learn, unlearn, and relearn will have a competitive advantage. This is particularly true with the emerging importance for AI programming languages like Julia, Swift for TensorFlow, and Rust.
Kin Chung Kwan: Computer science is rapidly growing, with new technologies emerging daily. The desired skill set can vary from year to year. We should always stay updated on the latest global developments and prepare to learn something new. Keeping your skills up-to-date and aligning them with the current needs of employers and target customers is crucial to maximizing salary potential.
Kin Chung Kwan: We are in an Artificial Intelligence (AI) revolution. AI development will continue to be a global priority and dominate the tech landscape in the next few years. For computer scientists seeking career progression, gaining a comprehensive understanding of AI is crucial. Furthermore, understanding limitations, ethical considerations, safety and security measures associated with AI is an important responsibility that every computer scientist should be aware of.
Kin Chung Kwan: Programming is the cornerstone of computer science. Solving problems effectively through proficient programming is a vital key to career success. Learning programming is like athletic training. One cannot become a skilled athlete solely through attending lectures. Programming skills can only be improved with consistent practice. Learning new techniques and repeated practice can help professionals refine their programming abilities and achieve career success.
Nova Southeastern University
Computer Software And Media Applications
Junping Sun Ph.D.: Being capable to perform, being competitive to excel, being able to communicate as a team player, being a connoisseur to act, being a clairvoyance to perceive, being creative to innovate, being conscientious with professional integrity.
Junping Sun Ph.D.: Computer Science and its applications in various fields are very dynamic and constantly evolving, and anyone in the fields needs to prepare to be adaptive by lifelong learning.
Junping Sun Ph.D.: Computer science is an algorithm science for problem solving in real world applications. The skills of problem solving require critical thinking with solid foundation of the professional knowledge in the relevant domains. It is crucial to have strong critical thinking skill with sophisticated logical and philosophical perspectives.
Jonathan Aldrich: Hone your skills so you are great at what you do, and gradually build to be great at what you want to do next. When you are confident in your current position, look for the next step--which may be a promotion in your current organization or a new job outside it.
Jonathan Aldrich: AI is a powerful new tool but it is also unreliable. Learn how you can use it but also what its limitations are, so that you can protect yourself and your customers from those limitations. Always have a way to double-check that the results of AI are sensible and appropriate. No one is a lone coder anymore--you'll be more effective if you can work with other people and with tools that multiply your capabilities. Work on your teamwork skills and keep your eye out for new tools and technologies that make you more effective.
Jonathan Aldrich: Be open to new experiences and focus on learning from them. A degree in computing gives you a foundation but there will be new challenges in every job; always be thinking about what you can do to become more effective at your tasks.
Dr. Jim Huggins: Computer science is a problem-solving discipline. Computer scientists help people solve problems. Typically, those problems deal with data; someone has a large set of data and needs to answer questions about that data, or process it in some way. Computer scientists write programs that run on computers to help their clients answer those questions and perform those processing tasks. On a given day, a computer scientist might do any or all of the following tasks, working alone or in teams: - Meet with clients to understand their problems and how a computing system might help them solve their problems. - Design computing systems to meet client needs. - Build computing systems to meet design specifications. - Test computing systems in order to find errors in their construction and fix those errors. - Repair computing systems that are not functioning properly. - Instruct users how to use the computing systems the computer scientist has designed for them. - Brainstorm new ideas for computing systems that would meet the needs of new customers.
Dr. Jim Huggins: Demand for computer scientists in the marketplace is high right now. The US Bureau of Labor Statistics states that employment in computer science is projected to grow much faster than all other occupations in the next ten years and currently pays salaries twice the national average. Working conditions for computer scientists are generally good: pleasant office environments, with the potential for flexible work environments and flexible schedules. But beyond the economic reasons, choosing computer science as a career means choosing a career that helps people solve their problems. Everyone uses computers to perform hundreds of tasks per day; computer scientists design the systems that people are using to make their everyday life more fulfilling.
Dr. Jim Huggins: Computer scientists enjoy the opportunity to be creative every day. Every computing system being designed is different from the last one or the next one; creativity is required to solve new problems every day. Computer scientists enjoy the opportunity to solve problems. There is a great feeling of accomplishment when a team finishes developing a computing system or helps a client solve their problems by using a computing system they designed. Computer scientists are innovative. By definition, they create systems that never existed beforehand. People enjoy knowing that they're creating the future of our world. Each benefit of being a computer scientist can also be a challenge. Working with people, both to determine the requirements for a system that's never existed, and to build that system, can be subject to the same interpersonal conflicts of any discipline. Problem-solving can be frustrating if the solution is not immediately apparent. Building computing systems requires technical skills that can take time to learn and to master.
Holger Findling: Most companies have a fixed range in salary for new hires. There is very limited space to negotiate a higher pay. It used to be a standard practice not to stay more than three years with a company because salary increases are associated with labor grade ranges. A larger salary increase can be realized by moving to a different company. Typically, 5% increase vs 3% salary increase. However, a programmer needs to continue studying in the field of interest. Earn a master's degree. Be the best you can be!
Holger Findling: Decide what technical area you would like to work in your field of expertise. Do you like to work for the aerospace industry? Decide what specific component you are interested in. Aircraft, Missiles, Energy, Navy - ships, Finance? The issue is that these components are developed in different states. For instance, in Florida Mid-Range missiles are developed and flight simulators. However, aircrafts are developed in Texas, Georgia, and Arizona, not in Florida. There are a lot of programmers needed for financial software. Most likely these jobs would be in New York, New Jersey, Atlanta, California and Massachusetts. In other words understand what industry you would like to work for, and understand that the industries are clustered in different states.
Holger Findling: Technologies are changing very fast, and you must change with it. Don't be rigid. AI is going to increase in the next five years, and the demand for programmers will be high. You would have to take courses studying AI concepts. Bio-Medical fields and Biometrics will be expanding in capabilities and these fields will need a lot of programmers. Take some additional courses, for example Biology and Chemistry.
Eastern Washington University
Computer Software And Media Applications
Dan Tappan: As much as possible, become a subject matter expert in the domain you're working in. The biggest problems we have are in not understanding the customer's problem and not understanding the customer's problem domain. Neither side is conversant in the other's world. We can't expect the customer to learn software development, so we have to learn about their world to bridge this gap.
Dan Tappan: This field changes so rapidly, it's hard to predict. Artificial intelligence has really taken off recently. There's no clear distinction between AI, machine learning, big data, and related areas anymore. They all blend together. These aren't just used as solutions to problems; they're also playing an ever-larger role in the tools we use to solve those problems. ChatGPT, for example, helps in writing documentation, and Google products help in writing code. Solid skills in these areas can streamline the development process.
Dan Tappan: There's not much room for salary negotiation as a new graduate with no experience. Every CS graduate shares roughly the same required background. What often distinguishes one applicant from another, or boosts the salary, is non-required experience with personal projects, contributions to open-source development, and so on. This shows not only applications of the required background, but also the initiative to learn and do more than is expected for the degree.
Northwestern University
Information Science/Studies
David Ostrowski: Create value in your position, become an expert in a few key areas to maximize value, concentrate on deep skill sets within a specific application domain, innovate and push the limits of technology.
David Ostrowski: Keep Learning. Some in the past have held the understanding that learning stops after college. While college gives you the foundation and insight, one needs to continually be learning throughout their career. Maintain an entrepreneurial mindset - even and especially if you plan on working for a large corporation (intrapreneur). Take a portion of your workweek to pursue new ideas and innovate. Maintain a portfolio of your work internally or externally. Love your work.
David Ostrowski: Deep technical software skills, incorporating and innovating with AI, programming languages like Golang, Solidity, Rust, JavaScript, understanding and appreciation of the functional programming paradigm. Innovation and pushing the limits of technology.
Anthony Barrese: Pursue opportunities to broaden your experience across systems engineering, development, integration and test, field sales support and professional services positions. Generalist experience becomes invaluable with career advancement. Running a team is much more feasible for leaders who understand the process behind the work their reports deliver.
Dale Dzielski MBA, CMA®, PMP®, SAFe® 4 Agilist: Be prepared for a lifelong learning experience; it just begins now. Be confident in what you know but open to learn more because you will.
Dale Dzielski MBA, CMA®, PMP®, SAFe® 4 Agilist: Enjoying your job is the most important thing for success and longevity.
Smaller businesses usually will pay more but offer the potential to move up as the company grows. Big payoffs can come if the small company that you help to grow sells off to a larger company a few years down the road. You don't have to wait years as this can happen in today's fast pass IT industry in 2-5 years.
Earn a Master's degree such as the WVU Online Master of Science in Software Engineering we offer, ranked #13 in US News, or the MS in Computer Science we offer on campus in beautiful Morgantown, West Virginia. (sorry, I had to put in a plug for our programs) If you don't have the graduate degree when you begin, start as soon as possible as most employers offer some employee benefit, paying for some or for the entire degree.
Dale Dzielski MBA, CMA®, PMP®, SAFe® 4 Agilist: Gain knowledge in Statistics, Data Analytics, cybersecurity, cloud computing, artificial intelligence as well as understanding of Agile Methodology, architecture and design principles/concepts, and development tools such as Jira and GitHub. These will continue to grow in importance to your career. Also, keep watching for disruptive technologies. These will change the way we live and perform our jobs such as the impact AI has already had. I can't name them now because they haven't been innovated or named yet. In fact, you may become a part of doing so.
Jacob Schrum: When it comes to any technology-based field, it is extremely important to be able to learn new things. The tools that today's graduates end up using down the line probably don't exist yet, but there are still foundational skills that are important for graduates to have. The Southwestern University Computer Science program teaches students the core knowledge in data structures, algorithms, programming languages, and more that they need to succeed in various careers related to computer science, but we also give them the chance to do meaningful project-based work that sets them up for career success. This is especially true in the CS Capstone course, which involves meeting with a real-world client, discussing their needs, and then engineering a software solution to meet those needs. This experience allows students to engage with modern tools in an applied context, and requires them to develop the soft skills of communication and negotiation to satisfy the needs of their client.
Jacob Schrum: Generative AI is obviously affecting many industries. Although these systems can write code, this will not eliminate the need for skilled coders and problem solvers. However, those entering the field now can use generative AI systems to quickly write formulaic boiler-plate code, which will give them more time to focus on real problem solving. Systems like ChatGPT, Gemini, and Claude can also serve as interactive troubleshooting tools that can be more effective than searching the web for a specific answer to a very obscure problem. Still, there is ultimately no substitute for having the actual skills to do these tasks on your own. These systems are improving, but they don't get everything right, and they have a major problem with knowing when they are wrong. Furthermore, certain companies and industries don't want their proprietary code disclosed to companies that own these AI systems, and thus do not allow employees to use them. I'll also note that skills not just in using AI systems, but in creating them will be in high demand. Granted, only a few big companies realistically have the kinds of resources to create the models behind ChatGPT, etc, but other companies can either use these models, or make their own much smaller scale models. Furthermore, Machine Learning skills were in high-demand even before generative AI hit the scene, so I would recommend focusing on those skills.
Jacob Schrum: This is definitely not my area of expertise as someone who has mainly been confined to academia for most of his career, but from what I can see, the demand for the skills our students have is still high enough. The main challenge seems to be landing that first job. Once that has been accomplished, it is on the student (now employee) to demonstrate their worth, and keep seeking opportunities to learn and improve. If the company is not giving them the chances for advancement or has a bad working environment, then they should be on the lookout for better opportunities. Granted, there have been some significant layoffs in the tech industry, and that does mean that new graduates entering the market are sometimes in competition with more experienced job candidates. However, the salary expectations of those experienced candidates can make entry-level positions less appealing to them, so there are still opportunities for those entering the field. I suppose this is sort of an unusual way to respond to a question about maximizing salary potential ... I understand that everyone wants to make money, but it is important to be realistic about the job market. Once you have an offer, you can bargain a bit, and you can always be on the lookout for better opportunities, but I think that early on it is a bit more important to gather experience and a steady work record. Ultimately, one will have to weigh the tradeoffs between the opportunities they actually have, and act accordingly.
Lyle Ford: Be flexible and open to new experiences. Technology changes rapidly and your skills will have to evolve to keep up. You will always need your creativity and problem solving skills, but the way in which you implement them will change with your environment which will require you to constantly update your skillset. Always look for opportunities to network. This can give you insights into developing areas and open doors for future paths you may be unaware of.
Lyle Ford: Having a broad base of skills, both technical and interpersonal are very valuable. Often, physics majors are hired to be problem solvers and each problem has its own set of unique conditions that may require a different set of skills to solve. The ability to be an effective team member is vital and proof of that will make you stand out. Evidence of independent work is also helpful so highlight and research or internship experiences you have had.
Lyle Ford: Computer skills (programming, working effectively with AI, and the like) will be important as the world continues to automate. The ability to design, build, and repair electronic and electromechanical systems will also be important for the same reason.
University of Colorado at Colorado Springs
Computer Engineering
Dr. Darshika Perera Ph.D.: Most of our computer engineering students at UCCS get job offers before they graduate with salaries ranging from $80k to $110k. Students should go for industry internships before graduating to familiarize themselves with industry settings and boost their career as well as salary potential. Students should emphasize their technical skills and know-how gained throughout their computer engineering degree program, demonstrate how those skills differentiate from other degree programs (such as computer science) and match with the expertise that companies are looking for, and highlight how they can be a valuable asset to the company to maximize their salary potential when seeking careers in this field.
Calvin Deutschbein: I really think the most important thing when starting a career in computer science is to decide before you begin your career what type of computer scientist you want to be. We all know famous people in tech industry who have made billions off of making the internet less safe for women or building lethal technologies, and I think they get less coverage in the news but there's also incredible scientists doing works of great value to care for and uplift other people. The first time we sign an offer letter it is very easy for us to do something that isn't consistent with our values, but graduates in computer science have skills valuable enough that they can often live their values and take care of their families at the same time.
Calvin Deutschbein: The best way to maximize salary in computer science is the same as in any other field - join a union. I would certainly love tech unionization to be stronger but it gets stronger everyday, and for example the Alphabet Workers Union is 1400+ members across various Alphabet (or Google) sites. Individual negotiations or learning certain skills can take you so far, but a group is always stronger than an individual whether negotiating salary or building a new technology. I've never felt better taken care of then I have as a unionized worker, and when I've been between unions I've really felt taken advantage of from salary to benefits to just general workplace pain points.
Calvin Deutschbein: I may be in a bit of a minority on this, but I really believe the next 3-5 years is going to be a good year from programming language theorists. The big push into AI with LLMs has driven, I believe, a lot of confusion over the current state of code automation when in fact existing technologies in program language theory, rather than machine learning, can help push automation much further. I fundamentally believe this form of thoughtful, systematic research is much better than the hype cycle at protecting people's jobs while still adding enormous value to society. LLMs are not particularly good at writing systems code, that's what Rust is for, and I think keeping in mind the difference between buzzwords and foundational technologies would do well for all of us in the coming years.
Aakash Tyagi: (a) Ability to work at the intersection of AI/ML and vital fields like bioengineering, finance, environmental sciences, Cyberphysical systems, etc., (b) Continual learning and adaptability to changing technology landscape, (c) Critical thinking, problem solving in medium to large team structures.
Aakash Tyagi: Treat your career as a marathon, not a sprint. Early years in one's career are best spent understanding the technology at its core and what drives innovation. You'll be a great developer and a great leader if your technical fundamentals are strong. This has never been so true than now in the age of generative AI and LLM where creativity and depth of understanding is what will set you apart from others (human and machine).
Aakash Tyagi: Salary potential is truly in the eyes of the beholder. Technical depth of knowledge and skills is quintessential, followed closely by a demonstrated track record of willingness to learn and adapt, and ability to communicate clearly.
Dr. Frank Mitropoulos Ph.D.: As you begin your career in Computer Applications, remember that the technology industry highly values adaptability and continuous learning. Commit to staying current with emerging technologies, programming languages, tools, and methodologies. Engage in online courses, attend workshops, and network with other professionals in your field. This dedication to self-learning and the connections you make can lead to job opportunities, mentorship, and collaborations that could shape your future career path.
Dr. Frank Mitropoulos Ph.D.: Maximizing your salary potential as a new graduate with a Computer Applications degree involves strategic positioning, skill enhancement, and effective negotiation. Following are a few strategies to help increase your salary now and in the future: Specialize in High-Demand Areas: Identify and specialize in high-demand areas that generally offer higher salaries. Build a Strong Portfolio: Develop a portfolio that showcases your skills. A compelling portfolio can strengthen your position during salary negotiations. Develop Soft Skills: While technical skills are essential, soft skills like problem-solving, communication, and leadership hold equal significance. Enhancing these skills can give you an edge in negotiations. Do your Homework and Negotiate: Some industries and locations offer higher salaries. Decide what type of industry you want to focus on and do the background research needed to determine whether your skills will help as leverage. Use your portfolio, certifications, and skill set to strengthen your position. Be ready to articulate your value and how you can contribute to the company's success.
Dr. Frank Mitropoulos Ph.D.: As we look toward the future of careers in Computer Applications, several skills stand out for their growing importance. These skills revolve around specific technologies that are expected to continue to grow and evolve. Technologies related to Cloud Computing, Artificial Intelligence (AI), Cybersecurity, and Data Science are quickly evolving and being applied across the technology sector. Cloud Computing: Given the widespread adoption of Cloud services, Cloud computing expertise is indispensable. Understanding how to leverage platforms like Azure, AWS, and Google Cloud is crucial to developing scalable, efficient solutions that meet business needs. Artificial Intelligence: AI and Machine Learning are transforming the world. Skills in these areas to solve real-world problems will be even more critical in the future. Cybersecurity: Digital threats are becoming more sophisticated. Safeguarding data, networks, and systems will require encryption, intrusion detection, development, and regulation skills. Data Science: Skills in Data Science will be increasingly sought after as businesses embrace data-driven decision-making. Extracting meaningful insights from extensive datasets and effectively communicating these findings will be essential. Soft skills: Finally, soft skills such as teamwork, problem-solving, and effective communication cannot be overlooked. Adapting, communicating, and leading will be essential for success.
Aurora University
Mathematics
Dr. Ramona Baima: For sure, in the next 3-5 years the level of technology will increase exponentially with the addition of AI. It is very important for graduates to continue to want to learn and improve their skills in the field of computer science and advanced mathematics in order to be able to be creative, come up with and implement unique ideas.
Dr. Ramona Baima: They can maximize their salary potential by choosing carefully the company they are starting to work for. They should look for companies that offer incentives such as paying for continuing education (such as master degree, certificates), possibility of exchanging ideas with international colleagues, investments within the company (such as 401K and pension). They also should be informed about the actual job hierchacy within the company and the possibilities of advancing their job position.
Dr. Ramona Baima: They can maximize their salary potential by choosing carefully the company they are starting to work for. They should look for companies that offer incentives such as paying for continuing education (such as master degree, certificates), possibility of exchanging ideas with international colleagues, investments within the company (such as 401K and pension). They also should be informed about the actual job hierchacy within the company and the possibilities of advancing their job position.