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Software developer job growth summary. After extensive research, interviews, and analysis, Zippia's data science team found that:
The projected software developer job growth rate is 21% from 2018-2028.
About 284,100 new jobs for software developers are projected over the next decade.
Software developer salaries have increased 10% for software developers in the last 5 years.
There are over 623,431 software developers currently employed in the United States.
There are 294,329 active software developer job openings in the US.
The average software developer salary is $87,521.
Year | # Of Jobs | % Of Population |
---|---|---|
2021 | 623,431 | 0.18% |
2020 | 901,617 | 0.27% |
2019 | 448,041 | 0.13% |
2018 | 825,607 | 0.25% |
2017 | 798,111 | 0.24% |
Year | Avg. Salary | Hourly Rate | % Change |
---|---|---|---|
2025 | $87,521 | $42.08 | +3.4% |
2024 | $84,638 | $40.69 | +2.3% |
2023 | $82,721 | $39.77 | +1.8% |
2022 | $81,260 | $39.07 | +1.7% |
2021 | $79,895 | $38.41 | +1.9% |
Rank | State | Population | # of Jobs | Employment/ 1000ppl |
---|---|---|---|---|
1 | District of Columbia | 693,972 | 993 | 143% |
2 | Rhode Island | 1,059,639 | 582 | 55% |
3 | Virginia | 8,470,020 | 4,569 | 54% |
4 | Washington | 7,405,743 | 3,717 | 50% |
5 | Vermont | 623,657 | 310 | 50% |
6 | Delaware | 961,939 | 465 | 48% |
7 | Massachusetts | 6,859,819 | 3,120 | 45% |
8 | Maryland | 6,052,177 | 2,711 | 45% |
9 | Oregon | 4,142,776 | 1,790 | 43% |
10 | Utah | 3,101,833 | 1,333 | 43% |
11 | Nebraska | 1,920,076 | 709 | 37% |
12 | Colorado | 5,607,154 | 1,949 | 35% |
13 | Minnesota | 5,576,606 | 1,880 | 34% |
14 | New Hampshire | 1,342,795 | 462 | 34% |
15 | Montana | 1,050,493 | 355 | 34% |
16 | South Dakota | 869,666 | 299 | 34% |
17 | California | 39,536,653 | 12,886 | 33% |
18 | New Jersey | 9,005,644 | 2,786 | 31% |
19 | Kansas | 2,913,123 | 914 | 31% |
20 | North Dakota | 755,393 | 237 | 31% |
Rank | City | # of Jobs | Employment/ 1000ppl | Avg. Salary |
---|---|---|---|---|
1 | Annapolis | 82 | 208% | $86,855 |
2 | Lansing | 33 | 28% | $77,176 |
3 | Huntsville | 52 | 27% | $70,710 |
4 | Topeka | 32 | 25% | $70,062 |
5 | Des Moines | 34 | 16% | $74,331 |
6 | Little Rock | 31 | 16% | $72,229 |
7 | Tallahassee | 29 | 15% | $73,586 |
8 | Atlanta | 53 | 11% | $76,880 |
9 | Washington | 69 | 10% | $88,736 |
10 | Boston | 47 | 7% | $87,594 |
11 | Sacramento | 29 | 6% | $109,052 |
12 | Indianapolis | 39 | 5% | $74,523 |
13 | Denver | 29 | 4% | $75,218 |
14 | Phoenix | 52 | 3% | $83,348 |
15 | San Diego | 38 | 3% | $99,506 |
16 | Chicago | 55 | 2% | $79,378 |
17 | New York | 36 | 0% | $91,206 |
California State University - Sacramento
Nova Southeastern University
Carnegie Mellon University
Seminole State College of Florida
Eastern Washington University
Northwestern University
Southwestern University
University of Wisconsin - Eau Claire
Texas A&M University
Nova Southeastern University
Aurora University
Southern Illinois University Edwardsville
Oklahoma State University Institute of Technology - Okmulgee
Texas A&M University San Antonio
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. 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.
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.
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: 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: 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: 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.
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.
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).
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.
Ahmed Imteaj PH.D.: Research Salary Trends, Acquire In-Demand Skills, Gain Relevant Experience, Customize Your Resume and Cover Letter, Prepare for Salary Negotiations, Consider Additional Benefits.
Ahmed Imteaj PH.D.: Artificial Intelligence and Machine Learning (LLMs): With the rise of Large Language Models (LLMs) like GPT-3 and BERT, skills in natural language processing (NLP), transfer learning, and fine-tuning pre-trained models will become increasingly valuable. LLMs have applications in areas such as text generation, sentiment analysis, and language translation.
Sustainable AI: As concerns about the environmental impact of AI and computing grow, skills in sustainable AI practices, energy-efficient algorithms, and green computing will be in demand. Professionals who can develop AI solutions that minimize energy consumption and carbon footprint will play a crucial role in building a more sustainable future.
Cybersecurity: With the ever-increasing threat landscape and sophisticated cyberattacks, cybersecurity skills will remain critical. In addition to traditional cybersecurity practices, such as network security and encryption, skills in areas such as threat intelligence, incident response, and penetration testing will be in high demand.
Cloud Computing: As more businesses migrate their infrastructure and services to the cloud, skills in cloud computing will continue to be in high demand. Proficiency with cloud platforms such as AWS, Azure, and Google Cloud, as well as expertise in areas like serverless computing, containerization, and hybrid cloud architectures, will be valuable for building and managing scalable and resilient cloud-based solutions.
Ahmed Imteaj PH.D.: Research Salary Trends: Before entering the job market, research salary trends for entry-level positions in your field and location. Websites like Glassdoor, PayScale, and LinkedIn Salary can provide valuable insights into typical salary ranges for different roles.
Acquire In-Demand Skills: Identify in-demand skills and technologies in your field and focus on acquiring them through coursework, certifications, internships, or personal projects. Skills such as machine learning, cloud computing, cybersecurity, and data science are highly valued and can command higher salaries.
Gain Relevant Experience: Prioritize gaining relevant experience through internships, co-op programs, part-time jobs, or freelance projects. Practical experience can significantly increase your market value and make you more attractive to employers.Customize Your Resume and Cover Letter: Tailor your resume and cover letter to highlight your relevant skills, experiences, and achievements that align with the job requirements. Highlighting your unique qualifications can increase your chances of landing interviews and negotiating a higher salary.
Prepare for Salary Negotiations: Before entering salary negotiations, research the typical salary range for the position and location, considering factors such as cost of living and industry standards. Practice articulating your value proposition and be prepared to negotiate confidently for a salary that reflects your skills, experience, and market value.
Consider Additional Benefits: In addition to salary, consider other benefits and perks offered by employers, such as health insurance, retirement plans, paid time off, flexible work arrangements, professional development opportunities, and bonuses. These benefits can add significant value to your overall compensation package.
Evgenia Smirni: I would say that quick pivoting and embracing changes is very important - this is a very fast changing field.
Evgenia Smirni: Try to have as many internships as possible as a student. The most important one is the internship of the junior year where typically companies make return offers for a regular position - try to make the most out of it!
Evgenia Smirni: Focus on having a strong basis of the fundamentals. The purpose of your education is to teach you asking the right questions to be able to find the right solutions. This field is changing continuously. Learning how to pivot when new, emerging trends happen, is key for success. Last but not least, do not underestimate the value of liberal arts educations - combining CS with liberal arts can offer communication skills that are of paramount importance for your career trajectory in this tech field.
Ali Alouani: Be confident, work hard, and have good communication skill.
Ali Alouani: Have co-op/internship experience, good GPA, and impress the recruiter.
Ali Alouani: Engineering and Computer Sciences
Oklahoma State University Institute of Technology - Okmulgee
Mining And Petroleum Technologies/Technicians
Mr. Mark Pranger: The first skill would be one I mentioned up in the first question and that is your communication skills. Not only is it important now, but it will also remain important as time goes forward. A skill that many overlook is the ability to teach yourself. We are in a technical field that changes daily. I do countless interviews with students doing their internships and, on the way, out the door, I give the advice of being a lifelong learner. Be prepared to reinvent yourself in about 5 to 10 years. Our technology changes and is that demanding of us. Do not depend on your company to direct your self-learning. Your career is your responsibility. So, oversee your learning. The company may teach you new skills, but they will be skills they want you to have. It might take you far into the company but you still have to manage your career for your best results. My next piece of advice is to consider a non-technical advanced degree. Consider a business degree to complement your technical degree. As you move up in the organization, things like finance, management, and other business disciplines will increase in importance. You may end up managing a department or even the entire organization's technical future. You will need to understand how all those pieces of the business interact with each other and the related business environment. My last skill to suggest is the skill to maintain a work and life balance. If you put too much into work, you may wake up one day and ask yourself, is it worth it? When one spends all their time working to get ahead, when do they get time to be ahead and enjoy it?
Mr. Mark Pranger: The biggest advice here is to show the organization the long haul. It costs a lot of money to advertise, find, recruit, hire, and train employees in our field. The company wants to know their return on that investment will be higher. A large technical breadth versus a deep technical understanding is the balance you have to maintain. Many companies I deal with as an internship coordinator tell me that they can train the technical niche needs that they have but the student has to be able to show that they can learn and absorb that knowledge and put it to use. Going back to the portfolio, this gives someone looking at it insight into what extent you can learn, absorb, and produce. I personally am a true believer in the depth over breadth in the computer science programming field. While syntax changes from language to language, the concepts that we use to engineer our software remain the same. So Java does one activity different than C# or Ruby, that concept though will be important and the syntax can be picked up easier if you understand the concept. To me, a deeper understanding of one language and the ability to adapt quickly to another language is more important than having a little knowledge in a wide breadth of language but no depth. I have been in this field for 30 years now and probably know about half that number of languages that I have used over those 30 years. I didn't start with all those languages, but I did start with a very deep understanding of just one or two. I could spend my time quickly learning syntax to pick up a new language for a new position because I understood the concepts so well in my root language. Learn it deep, understand it deep and show you can transfer it across laterally. Put together that portfolio. The portfolio reinforces the narrative I discussed in the earlier question also.
Mr. Mark Pranger: My first piece of advice a student graduating is to not wait until the last minute to do any networking in their field. If your college/university offers career fairs, start attending those as soon as possible. Start putting your name and associated face out there so when HR sees the name on the resume, they already know the face that goes with it. Put in the shoe leather or other sole material in early and often as possible. My second piece of advice is to target your cover letter, resume, and subsequent contacts such as interviews to the individual companies. Show them that you have taken the time to get to know the company. You may find common ground or may find that you are not a good match. Your time as well as their time is valuable, invest in well into finding the match for you that you can work at and feel rewarded. Make sure to clean up those resumes and other written communications before you send them. One simple grammar or spelling mistake could remove you from consideration in their very competitive world. Practice interviewing if at all possible. Go to any mock interviews your institution offers or clubs offer. If there is not any, ask those in the industry or management positions that you might know to mock interview you for the practice. Show respect for their time and be serious about the mock interview. Show up in person dressed like you are doing a real interview. Your entire interaction with a company and their representatives is your chance to create the narrative they will remember. In that narrative, you take them on the journey of getting to know you, finding out you are a good match to the company, and a good match to the position to which you are applying. The outcome you want is that job offer. One might notice my advice is not technical but more in the way you are looking for a position. Once you get into the position, the actual question that was asked here, start by absorbing anything they are willing to throw at you. Look for opportunities to show the company what you can do and what they can expect from you. Be mindful of your plate size and don't take on too much too early. They will remember two major things about your early days: That you tried and how you handled success and failure. Continue your networking at the job. Though we are in a technical field, we will interact with others not in our field. Our written and verbal communication skills will be put to the test. Nothing kills a great presentation idea more than bad communication skills. Never assume you are the best. Always work on the premise that someone is better and strive to become better. The education has given you the technical side of the coin. But it takes the non-technical side such as communication skills to showcase to others and your company your technical prowess. If you have not already, put together a portfolio of your work. Show the employers what you have done in the field. This includes what you did in school as projects. Having interacted with many hiring managers through advisory committees, one thing that keeps coming up is the creation of a portfolio. Those are not just for the artist, they are for anyone to show what they can do. Don't give up. The pile of rejection letters may become larger before that right position and company comes your way. You do have to search for it but it is out there.
MARLA KRAMER: Do the necessary course work from a reputed institution, where you can get the necessary hands-on experience under the tutelage of an established expert. Create a portfolio of your work on GitHub so that you can share your projects with potential employees. It is more important to demonstrate your skills through code, than it is to provide a list of classes that you have taken. Certification courses are expensive, but getting an accredited certificate in Mobile Application Development or any of the rapidly growing fields is always an advantage. The internet has a lot of uncurated, self-published, and incorrect information, especially when it comes to computer science. It is important that you pick your sources wisely as you build your skills.
MARLA KRAMER: Computer Science, and IS in general, is a field that is constantly evolving. It is not enough to know what everybody else knows. Becoming a subject matter expert with deep knowledge is important to be successful in the long run. You have to pick your area of expertise carefully, keep yourself focused and educated in that specific area, and be prepared for a career of continuous learning.
MARLA KRAMER: It is unlikely that software development will be fully automated in the near future. Writing correct and efficient applications is a skill set that will only grow as we invent more ways to improve the quality of our lives. As more and more commerce and critical services migrate onto the internet, IS development will require a deeper knowledge of cybersecurity, data analytics, and cloud computing. According to the U.S. Bureau of Labor Statistics (BLS), Information Security Analysis jobs are expected to grow by 32% over the next 10 years. The BLS estimates Software Developers, Quality Assurance and Testing will grow by 25% over the next decade.
Right now, however, software development is going through a lull because of competition from abroad. Being an expert in at least two popular programming languages, having a solid theoretical foundation, and being able to innovate is pivotal. Artificial Intelligence is being deployed to solve some problems now, thanks to the powerful computers we have today. Learning to effectively use AI frameworks as part of your application development will add a lot of value to your skillset.
Texas A&M University San Antonio
Computer Science
Izzat Alsmadi: Computing fields are unique that they have a very large spectrum of possible jobs.
New graduates should be open and flexible to seek opportunities beyond a narrow focus that they may have in mind.
The degree itself is a great start but in most cases will not be enough and you have to seek own training in new software, tools, etc.
Certificates can be also important for some particular sub-disciplines (e.g. cyber security)
Izzat Alsmadi: With the quick and rapid evolution language models, they are expected to be great assets in accelerating many jobs. Its important for new graduates to be aware of such models or tools and how they can be used
Programming skills will still be important but languages will be more mature and graduates need to be aware of the different available tools and resources online and how they can be used
Izzat Alsmadi: The market is very large, make your deep analysis on top trending jobs, their pays and requirements, unlikely to have high paying jobs for fresh graduates with extra skills, certificates, etc.