Why More Students Are Choosing To Go After STEM Degrees

Published on: 14 January 2023 Last Updated on: 04 September 2024

STEM subjects are some of the most in-demand fields of study right now. They’re also some of the most competitive.

To stand out in an increasingly competitive job market, students need to make sure they’re making the right choice when it comes to their college education. Even if you don’t plan on pursuing a STEM career, these degrees can open up new opportunities for you after you graduate.

Here are just a few benefits of earning SUNY Math & Science degrees:

You’ll Be Able to Find a Job Fast

In case you were unaware, STEM degree holders are in high demand. And what’s more, there are often more positions than there are candidates available.

That means that after you get a degree in a STEM field, you’ll have a distinct leg up over other job seekers. Job-finding websites like Indeed and SimplyHired are full of hiring managers looking for candidates with a variety of skills in STEM.

Therefore, you’ll be better positioned as a degree holder to stand out from the crowd.

You’ll Have Access to Higher Pay

STEM jobs are some of the highest-paying fields available. Healthcare, for instance, is one of the highest-paying industries, but IT/computer science and engineering are high-demand fields that typically pay well.

However, note that having a degree can help you earn a higher salary. It doesn’t guarantee you’ll earn a higher salary, but it does give you an advantage. Employers seek specific skills, experiences, and traits when filling jobs. They’re also looking to see if you have the motivation and drive to perform well.

That said, having a high-paying job can help you build your savings. This way, you’re more likely to be able to afford a house and a family.

It Can Help Lead to Other Careers

Getting a degree in one of the most in-demand fields opens you up to other careers. You can’t necessarily expect to transition easily into a new career from your current one, but you can use the skills you’re developing in a differnt career. This can open up multiple career paths.

You’ll Develop Important Skills

STEM fields like engineering, computer science, and biology are a part of your daily life. Therefore, as a degree holder in one of these fields, you can look forward to working in a field that requires a significantly different mindset than your typical college courses.

You may already find yourself applying your critical thinking skills as you tackle challenging projects. With a degree in a STEM field, you can continue to refine these skills in a job setting quickly and efficiently, and, ultimately, increase your overall marketability.

Even if you don’t plan on pursuing a STEM career, SUNY Math & Science degrees can open up new opportunities for you after you graduate.

In Conclusion

STEM subjects are some of the most in-demand fields of study right now. They’re also some of the most competitive. To stand out in an increasingly competitive job market, students need to make sure they’re making the right choice when it comes to their college education.

Additional:

Is Health Care A Good Career Path?
Is Transportation A Good Career Path?
Is Consumer Services A Good Career Path?
Top Career Opportunities In Operations Management

how many jobs are available in other consumer services

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How To Become An Artificial Intelligence Architect?: Everything You Need To Know

Globally, artificial intelligence (AI) is gaining popularity quickly. And many leaders and experts think it has the potential to change the world economy completely. Professional services network PwC predicts that artificial intelligence (AI) will contribute $15.7 trillion by 2030. While businesses are already adopting it quickly, inadequate planning and architecture can be a major roadblock. Indeed, according to research from technology research firm Gartner, in 2023, half of IT leaders will be unable to move AI initiatives into production. Here's where Artificial Intelligence architects can help. This crucial function may be essential to promoting the general adoption of AI and its effective use. Want to know more about it and how to become one? I have you covered! Keep reading this blog till the end to learn more… Who is an Artificial Intelligence Architect? AI architects create AI systems to handle a variety of issues. To ensure that their solutions function properly, they bridge the gap between data scientists, engineers, and developers. For this purpose, they use their extensive knowledge of AI algorithms and frameworks. AI architects oversee the development of an organization's AI architecture. Additionally, they create and implement AI architecture strategies using a variety of frameworks and deployment methods. Data scientists, machine learning operations, business leadership, and stakeholders collaborate closely with AI architects. As an AI architect, you will play a key role in assisting companies in advancing the integration of AI into their current systems. You will be responsible for preparing those systems for new applications and programs, enabling them to stay abreast of developing trends. These AI architects create and implement systems, procedures, and artificial networks that enable software, data, and computer capabilities for personal and commercial purposes. An AI architect can create automated programs and artificial networks that organizations and consumers can utilize for various purposes. They can do so by using machine learning, natural language processing, data administration, and AI integration. In simple words, an AI architect is an expert who contributes to much of this job, from safeguarding government data files to creating automated software services. What is the Job of an AI Architect? AI architects use machine learning (ML) and artificial intelligence (AI) to create answers to problems. To improve computer and software functionality, they collaborate with software developers, IT teams, and ML engineers to pinpoint problems in networks, technical systems, and data modules. Some of the main responsibilities of these professionals' jobs include: Researching and creating APIs for machine learning models so they may be used in various applications. Creating AI models that promote enhanced performance and efficiency for sales, marketing, and business information operations while aligning with organizational goals. Constructing infrastructure for data input and transformation technologies that departments or teams may incorporate into organizational processes. Organizing and creating technological and organizational operations with automated solutions. Supervising the creation of AI infrastructure for consumer goods and systems. Investigating and incorporating deep learning and machine learning architecture to develop security apps that safeguard sensitive information. Working together with software engineers, machine learning engineers, and data scientists to design workable solutions using ML and AI models. How to Become an Artificial Intelligence Architect? Now that you know what an Artificial Intelligence architect it is, it is time to learn how to be one. Let me help you out with that: 1. Get The Required Educational Background AI architects typically have a solid computer science background or a closely related discipline. A bachelor's degree is frequently considered a minimal qualification since working in data science and programming demands a deep understanding of these subjects. Certain AI architects may pursue a master's degree in data science or artificial intelligence to advance their education and employment opportunities. 2. Learn Programming Languages The ability to work with programming languages such as Python and Java is a must for AI architects to comprehend and apply the fundamental algorithms of AI. AI architects frequently use these languages in machine learning algorithms and AI development. Several top-notch courses and certifications are available to assist you in learning the essentials and provide you with a qualification that will make you more marketable to companies. 3. Dive Into Data Science And Machine Learning Artificial intelligence relies heavily on data science and machine learning. Without explicit programming or direction, computers may learn and grow. This is all due to machine learning. Additionally, data science insights help artificial intelligence (AI) make better decisions and perform better. AI architects need to be knowledgeable in data architectures, big data, and data analysis in order to integrate this information effectively. To improve your comprehension in any of these areas, think about taking a specialist course or working toward a certification that will verify your mastery of these ideas. 4. Master AI Frameworks And Tools Learning the frameworks PyTorch and TensorFlow is essential if you want to work as an AI architect. PyTorch is helpful for creating deep learning models and accelerating production development following research and experimentation, much like TensorFlow. Additionally, you want to be aware of AI tools that support cloud computing and AI solution scaling, such as Microsoft Azure and Amazon Web Services (AWS). Software for improved visualization and pipeline conversion, like as Tableau and Sisense, is also beneficial. If you wish to get more experience before joining the workforce, several of these tools are covered in online courses and certification programs. 5. Gain Real-World Experience Practical experience is invaluable; although though courses, books, and online how-to guides are beneficial, they cannot replace it. You'll benefit from taking internships, entry-level jobs, or freelancing work as an AI engineer or data analyst to get ready for your career path in AI architecture. You will develop a solid portfolio as you work on various AI projects, which you may provide to prospective employers as evidence of your abilities. Another great approach to develop your abilities and increase your knowledge is to collaborate with other AI experts on projects. 6. Develop Soft Skills To become an AI architect, soft skills like problem-solving and communication are just as crucial as any technical expertise. Gaining more proficiency in these areas can help you communicate your work to audiences who are not tech-savvy as well as those who are, and engage with other stakeholders more effectively. You gain from having soft skills when managing projects and updating stakeholders on the state of ongoing initiatives. Finding the most crucial qualities you want to improve is the first step in developing your soft skills. Since you can't work on everything at once, decide what matters most and what your ultimate objective is. From there, you may ask friends and coworkers for input, look for online resources and courses that are pertinent to the talent you're building, and search for practical chances (like a new leadership role) to hone those skills in a real-world context. 7. Obtain Certifications There are several professional certification choices available to AI architects. Some employers may require certain qualifications for specialized tasks, even though many of the available certifications are optional. Credentials in cloud architecture, data management, AI engineering, programming, and information security are a few certifications to obtain. You might also work toward certifications that will help you grow in your career, depending on your area of expertise. For example, certifications for particular systems and applications, such as those in project management, agile development, or scrum development, attest to your technical proficiency and your adaptable leadership and teamwork abilities. 8. Keep Up With Advancements And Networking People in the artificial intelligence industry must keep their abilities up to date because the area is always changing and evolving. You can learn from industry experts and network with other professionals by attending conferences, following relevant social media accounts, and perusing online forums. Is Artificial Intelligence Architect a Good Career Path? For the ten years preceding 2032, the US Bureau of Labor Statistics (BLS) projects robust job growth across the board for computer and information technology occupations. The Bureau of Labor Statistics (BLS) projects a growth of 8% for database architects and a 23% increase for computer and information research scientist positions. The tremendous expansion of AI combined with the BLS's optimism for all IT professions presents a bright picture for everyone working in AI, even though it makes no predictions specifically for AI architects. The profession also has a strong income potential. According to Glassdoor, the average base pay for an AI architect is $142,663. There might be chances for you to receive bonuses and other types of additional income. How Much Money Does an Artificial Intelligence Architect Make? Because of the job's distinct skill set and current strong demand, AI architects typically receive competitive compensation. But as you may expect, industry, experience level, and geography can all affect typical pay. The Bureau of Labor Statistics (BLS) reports that the typical annual salary for database architects is approximately $135,000. If your income is less than $75,000, you probably earn less than the average for your industry. But the wealthiest ten percent may earn more than $197,000 a year. While database architects in business or enterprise management may make less on average, those in computer design or infrastructure tend to make more money. States with employment rates above 1.6 per 1,000 jobs, like Colorado and Virginia, have a higher concentration of database architects. Database architects in California earn the highest salary in the nation, $152,960 per year. Workers in Texas, where the typical yearly wage is $146,970, are just a few thousand dollars behind. Wrapping it Up! In case you wanted to know about Artificial Intelligence Architect and how to become one, I hope that this blog has been of help to you. If you have any other queries, please feel free to let me know. All that you need to do is scroll down till you reach the bottom of the page. Then leave your comments on the box below. And I will be there to answer them all for you! Learn More About: How To Become A Speech Language Pathologist? Get To Know Here How Artificial Intelligence Is Helping Banking And Financial Institutions? How To Become A Blockchain Developer In 2024? Is It A Good Career Path

How To Become A Data Scientist? Skills, Courses, And Institutions Explained

In recent times, data science has been everywhere. Businesses across the globe are turning to data science, which will help you to solve the most diversified issues out there. This situation has put data scientists in advantageous positions in terms of payment and employment. Data scientists are part of the IT or data science team who can help analyze the data to provide the information. It allows the organization to make data-driven decisions and easily create strategic plans. With the network economy's improvement, the data generation pace has increased. This leads to the single step of strengthening the demand for other data scientists. Artificial Intelligence Architect leads to problem-solving with the help of high-quality technology. It would be the same for data scientists. After all, this can be a good career option for you. What Does A Data Scientist Do? After researching the facts, I developed significant factors for a data scientist. Below, I am going to discuss what a data scientist does. After researching the facts, a data scientist can work intensely to understand and analyze the data, providing such actionable insights. In this business environment, they can work across several other teams where they will lay down the foundations for robust analytics. It means developing such significant strategies so they can easily capture, garner, and clear the cache from the range of several sources. Aside from that, once they are done exploring and analyzing such data, they can quickly build several other solutions and efficiently communicate their findings to an extensive range of business fields. The Step-by-step Guide of How to Become a Data Scientist: Usually, many people are becoming interested in this data science domain. Below, I will discuss a step-by-step guide on how to become a data scientist. 1) Earn a Bachelor's Degree Several data scientists can earn a bachelor's degree, preferably in science streams like engineering, IT, math, or other related fields. You will improve your problem-solving abilities after completing your bachelor's degree in quantitative domain. This will only be possible through critical thinking and analytical skills, some of the most significant skills to possess as a data scientist. Aside from that, you might also pursue an internship during your bachelor's degree, which would help you to get an entry-level job in this domain. 2) Get the Certifications Multiple certifications will help you develop your skill set and showcase your interest. This way, you can become a data scientist for several other potential recruiters. A vast number of courses regarding data science and data analytics are available online on several different websites. In this case, you should consider joining any of these courses to develop your skills and chances of securing a job. This would apply to becoming a data scientist. After all, consider getting these certified by several other educational institutes in India. This also provides courses in data science. 3) Gain Work Experience Data Scientists continue to be in high demand across several other industries. You might consider getting other relevant experience as a data scientist by pursuing internships or entry-level jobs. This happens as a junior data analyst. On the other hand, gaining relevant work experience can help develop your skills. It means you must acquire corporate expertise. Also, if you are working in an entry-level position, several other businesses might provide on-the-job training and other certifications. This can lead to such significant promotions. 4) Build Your Portfolio It would help if you considered building a portfolio of some significant projects, which means you have previously worked. In this way, you can easily showcase your abilities to recruiters and gain an advantage over other candidates. After all, you can also include several other examples of projects through which you can manage this in previous organizations in the visual format. Likewise, you can also get assistance from different online resources on such things as templates to use while building your working portfolio. 5) Pursue a Master's Degree Another best and most significant way to build your career in data science is to pursue your master's degree. In this case, pursuing your master's degree will quickly help you obtain a leadership position in the data science domain. Not only that but having a master's degree might also benefit you significantly from other data scientist candidates. This is mainly applicable while you are applying for higher-paying jobs. 6) Pursue a Doctorate There are several data scientists who also prefer to pursue their careers in computer science or other related fields. In this way, they can quickly achieve leadership positions in their organizations. Above all, you can quickly get high-paying jobs. Even more, having a doctorate might give you a significant position as a nurse anesthetist through which you can earn a teaching position or a higher-paying role. What Is the Skill Set Required to Become a Data Scientist? If you want to become a data scientist, you must enhance several skills required in this domain. Below, I will discuss the skill set that you must have to become a data scientist. 1) Technical Skills If you want to become a data scientist, then you must acquire some relevant data scientist skill set. It includes the following: Proficiency in other programming languages such as R or Python. You must acquire a strong knowledge of mathematics and statistics. Ensure you have experience with machine learning techniques and algorithms. Ensure you are familiar with data visualization libraries such as Tableau and Matplotlib. Ensure you can utilize several other big data technologies like Spark and Hadoop. 2) Analytical Skills Data scientists have superior analytical skills, which helps them visualize problems. This happens from all possible angles. It provides several other solutions after evaluating and considering all other potential solutions. In this case, they review and check the accuracy of information and data. Aside from that, they have the analytical skills which would help them pursue their career seamlessly. They have the analytical skills that would help them do things seamlessly. After all, your ability to visualize numbers and analyze them to other mathematical relations can provide such solutions. Furthermore, this can help them become good data scientists with that visualizing power. This will also help them improve business-related management skills. Data Scientists might be required to work on multiple other projects with such strict deadlines. In this case, time management skills are essential to ensure they deliver on time. Aside from that, time management skills help data scientists efficiently use their time. Even more, they can quickly achieve the desired objectives and outcomes. It means preparing schedules, following them, and managing time effectively will help you assign a significant skill set and proficiency in time management skills. In Conclusion I have discussed the step-by-step guide of how to become a data scientist above in this article. Being a data scientist, you must be professional and must acquire significant knowledge of statistics, mathematics, and several domains like these. Aside from that, you also must gain knowledge about how to solve such complicated issues and ensure you have enough capacity to make data-driven decisions for your organization. I hope you found this article helpful. If you have queries, please comment below! Learn More About: How to Learn Artificial Intelligence And Machine Learning Why More Students Are Choosing To Go After STEM Degrees? Why Is It Important To Study Masters’ Degree In Data Analytics?

How Many Jobs Are Available In Real Estate Investment Trusts?

How many jobs are available in real estate investment trusts? What are the best paying jobs in real estate investment trusts? Is real estate investment trusts a good career path? If you are searching for these queries, then you are at the right place! Real estate investment trusts are firms that hold finance producing real estate across many areas. This company is situated in almost every state of the United States. However, there are various conditions or requirements for a company to fulfill the basic terms and conditions of Real Estate Investment Trusts (REITs). Keep reading this article till the end to learn more about the same... Keep reading this article till the end to learn more about the same... How Many Jobs Are Available In Real Estate Investment Trusts? According to Indeed and LinkedIn, there are more than two thousand jobs available in real estate investment trusts. However, this number can increase or decrease as per the vacancy available in various sectors. REITs are a rapidly growing industry where many investors are willing to invest more and more due to their investing benefits. On the other hand, ranging from the back office to customer support, there are many jobs available in real estate investment trusts (REITs) but the United States is not hiring all individuals. You can apply for the post of real estate investment trusts (REITs jobs). The latest update shows that the total number of jobs in real estate investment trusts is as follows: New York - 130 Jobs Ashburn - 14 Jobs Scottsdale - 12 Jobs Milwaukee - 12 Jobs Virginia Beach - 12 Jobs Tampa - 13 Jobs Philadelphia - 16 Jobs Toledo - 17 Jobs San Diego - 18 Jobs Glendale - 13 Jobs Jersey - 20 Jobs Newark - 26 Jobs Austin - 26 Jobs San Francisco - 27 Jobs Washington - 28 Jobs Denver - 32 Jobs Atlanta - 42 Jobs Houston - 50 Jobs Los Angeles - 50 Jobs Dallas - 72 Jobs Chicago - 74 Jobs Is Real Estate Investment Trusts A Good Career Path? There are many queries regarding the opportunities of real estate investment trusts that it offers to its investors. REITs are a good career path but qualifying all the requirements of REITs may not be possible for every firm or individual. Real estate investment trusts are a good career path, and one of the main reasons is a high return on investment. On the other hand, there are some basic factors that you need to consider before choosing REITs as your career path. According to sources, in recent years, there has been a relatively steady increase in the number of real estate investment trusts (REITs) in the United States. There were 206 REITs in 2022, down from 217 the year before. The market cap increased significantly despite the decrease in the number of REITs. What Are The Best Paying Jobs in Real Estate Investment Trusts? To know how many jobs are available in real estate investment trusts, first, you need to know what are the best paying jobs in REITs. According to our research, the best paying jobs in real estate investment trusts (REITs) are salespeople, leasing agents, broker jobs, fund managers, and much more. The descriptions of all jobs differ and you need to understand the basics of each and then you can proceed to know the best ones for yourself. The benefits will increase more when you own your own real estate investments. Now, let’s discuss the top departments that get the highest salary in the real estate investment trusts. 1. Asset Manager Within REITs, the Asset Management function is responsible for the financial and operational performance of the portfolio. They manage client assets according to investment goals and preferences. Moreover, these managers develop, organize and maintain client portfolios. It is one of the highest-paying jobs, with salaries ranging from $70,000 to $1,000,000. They must monitor the financial and operational success of the business. In addition, they are in charge of marketing, locating investors, and verifying returns. Asset management can be a good career, especially for investment banking, finance students, and high-performing economics. At the end of 2019, BlackRock was the largest asset management firm all over the world, with managed assets of around 7043 trillion US dollars. Thus, this is really a huge amount! 2. Property Manager It will surprise you to learn that approximately 15,000 property managers are employed in the United States at the moment, and this number is growing. Engaging with clients and selling or renting property at the best prices are the responsibilities of a property manager. From leasing to collections and property upkeep, they take care of everything. The best part is that no minimum qualifications are required to apply for this position. The compensation for this occupation goes from $55,000 to $65,000 every year, and the featuring part is that the vocation development is very great. 3. Acquisitions Working for this job profile necessitates a significant amount of analysis because they must identify and evaluate potential acquisition targets. This industry offers a lot of job opportunities, and the good news is that it pays well—about $80,000 per year. They must be able to solve problems well and be aware of new investment opportunities to increase revenue. One of the best jobs in the real estate investment trust industry is this one. Acquisition departments provide paying jobs in real estate investment trusts. However, this is a pretty finance-heavy role within the real estate industry. 4. Investor Relations This department of real estate investment management manages all outward-facing communication with REIT shareholders. An average management investor earns up to $150,000. This is truly huge, and this is regarded as the best paying job role in REITs. If you're looking for a position in the finance and accounts department, this is it. The best part is that it pays very well and has good growth potential. The job of investor relations also includes organizing and preparing for the annual meeting, which includes writing a proxy statement and an annual report for the company. Now, to get this job role, you need an undergraduate degree with a background in finance or accounting. 5. Real Estate Investor This is one of the best jobs in the real estate investment trust industry because, in addition to the high salary, there are good chances of advancement in this industry. Their primary function is to assist individuals in achieving financial independence through real estate investments. This job requires extensive market research before investing and trading, which takes time. You will be required to perform a variety of tasks, including checking, maintaining, flipping, purchasing, and rehabilitating the properties, making it not only mentally but also physically demanding. All of this helps them increase the value of their investments. You need a degree in accounting, finance, or business to become a real investor because you need to come up with ways to make better investments for yourself and your clients. A real estate investor earns anywhere from $15,000 to $15,000 per year. How Many Jobs Are Available In Real Estate Investment Trusts? According to Indeed, there are more than two thousand jobs available in real estate investment trusts. However, this number can increase or decrease as per the vacancies available in various sectors. REITs are a rapidly growing industry where many investors are willing to invest more and more due to their investing benefits. On the other hand, ranging from the back office to customer support, there are many jobs available in real estate investment trusts (REITs). According to sources, in recent years, there has been a relatively steady increase in the number of real estate investment trusts (REITs) in the United States. There were 206 REITs in 2022, down from 217 the year before. The market cap increased significantly despite the decrease in the number of REITs Wrapping It Up! The above discussed are the best paying jobs in real estate investment trusts that you must know before investing in this asset. Besides, I have tried my best to provide you the detailed information about how many jobs are available in real estate investment trusts. Still, if you have any doubts, you can mention them in the comment section below. Read Also About: Is Energy A Good Career Path Is Business Services A Good Career Path Is Other Consumer Services A Good Career Path

Why More Students Are Choosing To Go After STEM Degrees

You’ll Be Able to Find a Job Fast

You’ll Have Access to Higher Pay

It Can Help Lead to Other Careers

You’ll Develop Important Skills

In Conclusion

Should You Be Friends With Your Co-Workers?

How Many Jobs Are Available In Other Consumer Services?

Content Rally

Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.

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How To Become An Artificial Intelligence Architect?: Everything You Need To Know

How To Become A Data Scientist? Skills, Courses, And Institutions Explained

How Many Jobs Are Available In Real Estate Investment Trusts?

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Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.

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Popular

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