How to Become a Computer and Information Research Scientist for 2025
Co-Founder and Chief Data Scientist
In this increasingly digitized world, computer and information research scientists play a vital role in driving innovation, solving complex problems, and shaping the future of technology. Computer and research science encompasses a wide range of sub-disciplines and areas of study, including artificial intelligence, data science, and machine learning. It also includes algorithms, computer architecture, networking, cybersecurity, and more.
Becoming a professional in this field requires not only a deep passion for technology but also a solid foundation of knowledge and skills. These specific sets of skills, such as proficiency in programming languages and software engineering, are what make computer science researchers in high demand. In fact, the demand for computer and information research scientists is expected to grow by 21% from 2021 to 2023 (BLS, 2023).
In this guide, we will highlight everything you need to know about how to become a research scientist. Besides acquiring the necessary skills you need to navigate the field, we will also provide you with information, including the salary, benefits, and career options you can choose from.
Computer and Information Research Scientist Table of Contents
- Why pursue a career in computer and information research science?
- Computer and Information Research Science Career Outlook
- Required Skills for Computer and Information Research Scientist
- How to Start Your Career in Computer and Information Research Science
- How does a bachelor's degree support a career in computer and information research science?
- The Importance of Accelerated Degree Programs in Becoming a Computer and Information Research Scientist
- What types of research projects can computer and information research scientists expect to work on?
- How can I advance my career in computer and information research?
- What challenges do computer and information research scientists face in a rapidly evolving tech landscape?
- Alternative Career Options for Computer and Information Research Scientists
- How is artificial intelligence shaping the future of computer and information research science?
- What emerging trends are shaping the future of computer and information research science?
- What financial investments should I consider for a career in computer and information research science?
- What ethical and legal responsibilities should computer and information research scientists consider?
- How can biotechnology drive interdisciplinary innovation in computer and information research science?
- What role does health information management play in advancing interdisciplinary research science?
- Can advanced interdisciplinary degrees strengthen my research expertise?
Why pursue a career in computer and information research science?
Computer and information science offer a stimulating intellectual environment for those who enjoy tackling challenging puzzles. It involves exploring complex problems, devising creative solutions, and pushing the boundaries of knowledge. By contributing to research in this field, you have the opportunity to shape the future of technology and society.
Researchers in computer science can also work in academic institutions, research laboratories, and technology companies, collaborating with other experts and interdisciplinary teams to tackle complex challenges. Their work contributes to the advancement of knowledge, drives innovation, and paves the way for the next generation of technological advancement.
As technology becomes increasingly integrated into our lives, organizations across industries require skilled professionals to develop new technologies, enhance existing systems, and solve intricate problems. That is why pursuing a career in science, technology, engineering, and mathematics can give you a wide range of job opportunities and a huge potential for career advancement. Additionally, about 3,300 research scientist job openings are projected each year on average over the decade (BLS, 2023).
Lastly, computer and information research science often offers flexibility in terms of work arrangements. Many research projects can be conducted remotely, allowing you to work from anywhere in the world. This flexibility provides the freedom to balance your personal and professional lives, which can contribute to greater job satisfaction and a better work-life balance.
Computer and Information Research Science Career Outlook
The demand for highly skilled computer and information research scientists translates into competitive compensation packages. This field offers the potential for financial stability and rewarding compensation, especially for those who excel in their research and make significant contributions to the field. The specialized expertise and unique contributions can command higher salaries and other attractive benefits.
The field of computer and information research science has a range of job roles available to them, each with its own salary and demand. If you are wondering “What do computer scientists do?", then there are multiple answers. According to our research, the main research scientist jobs in this field include computer and information research scientist, deep learning scientist, AI developer, and data scientist. The salary and demand for these roles vary.
The median annual salary for a computer and information research scientist is approximately $131,490, with a 21% projected growth rate. They formulate research questions, design experiments or simulations, collect and analyze data, develop new algorithms, and share their findings through publications and presentations. Deep learning scientists, who focus on developing and advancing machine learning algorithms and techniques, earn a median salary of $137,642. They also have a 21% projected growth rate.
AI developers have a median salary of $102,200, with a 21% projected growth rate. Their work spans areas like machine vision, robotics, natural language processing, and automated reasoning. Data scientists earn a higher median salary of $141,951, with a 21% projected growth rate. They apply statistical analysis, data mining techniques, and machine learning algorithms to identify patterns, trends, and correlations in the data.
Required Skills for Computer and Information Research Scientist
Becoming a professional in the field of computer and information research science requires a diverse set of skills encompassing technical expertise, analytical prowess, and problem-solving capabilities. By acquiring and honing these skills, aspiring computer and information research scientists can position themselves for a successful and impactful career.
Essential Skills for Computer and Information Research Scientists
- Proficiency in Programming: A strong command of programming languages such as Python, Java, C++, or R is essential for implementing algorithms, developing software prototypes, and conducting experiments. For those who want to advance their careers in computer and information research science, proficiency in multiple programming languages allows for versatility in tackling diverse research projects.
- Algorithm Design and Analysis: Expertise in designing efficient algorithms and analyzing their complexity is fundamental for solving computational problems and optimizing system performance. Strong algorithmic thinking and problem-solving skills are essential for developing innovative solutions and improving existing methods.
- Data Analyzing Skills: A research scientist should have proficiency in data analysis techniques, data mining, and machine learning. Computer and information research scientists need to extract meaningful patterns and insights from large and complex data sets, apply statistical methods, and develop machine learning models for predictive analytics and pattern recognition.
- Troubleshooting Skills: Strong problem-solving skills are essential for identifying and resolving complex issues that may arise during research projects. The ability to think critically, troubleshoot, and iterate on solutions is crucial for overcoming challenges and achieving goals as a computer science researcher.
- Computer Architecture and Systems: Knowledge of computer architecture and systems allows researchers to understand the underlying mechanisms of computing systems and optimize performance. This includes not just learning to research computers but also knowledge of hardware, operating systems, distributed systems, and networks (Sunderland University, 2021).
- Proficiency in Data Security: Awareness of data security and privacy principles is essential, especially when working with sensitive or personal data in the technological world. Understanding encryption, authentication, and privacy protection measures helps professionals in this field ensure the security and integrity of their research. You should also be prepared to handle instances of data breaches as well as comply with industry and government regulations (Taylor, 2021).
General Skills for Computer and Information Research Scientists
- Mathematical and Statistical Skills: A solid foundation in mathematics and statistics is crucial for computer and information research scientists or any of the information science careers. Proficiency in areas such as calculus, linear algebra, probability, and statistical analysis enables researchers to develop robust algorithms, analyze complex data sets, and derive meaningful insights.
- Adaptability and Continuous Learning: Given the fast-paced nature of technology, computer and information research scientists must be adaptable and open to continuous learning. Keeping up with emerging trends in technology, and research developments is crucial for staying relevant in the field.
- Collaboration and Communication Skills: Effective collaboration skills and the ability to communicate complex ideas to both technical and non-technical audiences are crucial. Those who are working in the field of information technology, or computer science, need to collaborate with peers, present their findings, and publish their work effectively in academic journals.
- Strong Ethical Foundations: Awareness of ethical considerations in the field of technology related to data privacy, bias, fairness, and responsible AI is crucial. This is one of the computer science jobs description that applies to those working with sensitive data or developing AI systems that impact society. Some of the most common ethical issues in technology today include misinformation and misuse of personal data (Watters, 2023).
How to Start Your Career in Computer and Information Research Science
Whether you are a student exploring future career options or a professional in the field of computer and information research science, having a roadmap can help you navigate this field. Knowing your career goals will also help in identifying which educational paths to take and the computer science salary that you can expect. In this section, we have listed some of the ways to start your career in computer and information research science.
What can I do with an associate’s degree in computer and information research science?
Job title: Research Assistant in Computer Science
With an associate degree in computer science, you can become a research assistant in computer science or information science. A research assistant in computer science typically supports research projects undertaken by faculty members, senior researchers, or research teams. Their primary role is to assist in various research activities and contribute to the advancement of knowledge in the field. Research assistants can also work in universities under computer science programs to provide support to both students and faculties (Northwestern University, n.d.).
Average salary: $63,335
What can I do with a bachelor’s degree in computer and information research science?
Job title: Computer Data Analyst
A computer data analyst, also known as a computer systems analyst or IT analyst, is responsible for evaluating an organization’s computer systems and processes to improve efficiency and data management. Computer data analysts assess how computer systems can be integrated or modified to improve efficiency and data sharing. They also analyze system interfaces, data exchange protocols, and compatibility issues to ensure smooth integration and interoperability across different systems.
Average salary: $83,067
Can you get a computer and information research science job with just a certificate?
In most cases, a certificate alone may not be sufficient to pursue a career as a computer and information research scientist. This is because computer and information research scientists typically require a higher level of education, such as a bachelor’s, master’s, or doctoral degree in computer science. The good thing is that you can easily acquire a bachelor of computer science online degree to jumpstart your career.
However, obtaining a certificate in computer and information research science can provide you with foundational knowledge and skills in the field. A certificate program typically offers focused training in a specific area or a set of skills within the field and will open up opportunities for a higher computer science salary. Here are a few examples of certificates that are relevant to computer and information research science:
- Certificate in Data Science
- Certificate in Artificial Intelligence (AI)
- Certificate in Big Data Analytics
- Certificate in Cybersecurity
- Certificate in Cloud Computing
How does a bachelor's degree support a career in computer and information research science?
A bachelor's degree in computer science or a related field is the cornerstone for aspiring computer and information research scientists. This degree provides students with foundational knowledge in key areas such as programming, algorithm design, data structures, and systems architecture. By mastering these concepts, graduates are equipped to tackle complex problems, develop innovative solutions, and make significant contributions to technology.
Moreover, many bachelor's programs emphasize hands-on learning through capstone projects, internships, or research opportunities, helping students gain practical experience and build a professional network. For those interested in advancing their education, an accredited online bachelor degree offers a flexible pathway to acquiring these skills while balancing other responsibilities. You can explore some of the best accredited online bachelor degree programs to kickstart your journey in this dynamic field.
Additionally, having a bachelor's degree not only qualifies candidates for entry-level roles but also lays the groundwork for pursuing specialized certifications or advanced degrees. This strong academic foundation is a critical step in preparing for the challenges and opportunities in the rapidly evolving world of computer and information research science.
The Importance of Accelerated Degree Programs in Becoming a Computer and Information Research Scientist
Accelerated degree programs offer a unique pathway for individuals aiming to enter the field of computer and information research science quickly while maintaining the high level of expertise the profession demands. These programs can significantly reduce the time it takes to earn a qualification—without sacrificing academic rigor—thereby enabling professionals to jumpstart their careers in this cutting-edge domain sooner.
One of the primary advantages of pursuing an accelerated program is its ability to align with evolving industry demands. The rapid pace of technological advancements means that skills and knowledge acquired today can quickly become outdated. By enrolling in a fastest computer science degree, professionals can stay ahead of the curve and gain a competitive edge in this dynamic field. These programs often incorporate up-to-date tools and technologies, providing graduates with relevant and current expertise.
Furthermore, the flexibility inherent in many accelerated programs—especially online ones—allows aspirants to balance higher education with other responsibilities, such as work or family. This flexibility ensures that more individuals can pursue advanced knowledge and skills irrespective of geographical or financial barriers. Additionally, these programs can serve as a stepping stone toward specialized certifications or postgraduate studies, both of which are invaluable for career advancement in research-heavy domains.
For those looking to combine speed, efficiency, and academic excellence, an accelerated program is a practical and strategic choice to prepare for roles like AI developer, data scientist, or deep learning researcher. It not only broadens your opportunities in the field but also equips you to contribute meaningfully to the ever-evolving landscape of computer and information research science.
What types of research projects can computer and information research scientists expect to work on?
Computer and information research scientists often engage in cutting-edge research projects that address complex challenges in technology and society. These projects vary widely, providing opportunities to specialize in different areas depending on one’s interests and skills.
- Artificial Intelligence and Machine Learning: Many research scientists focus on developing innovative algorithms and models for artificial intelligence (AI) and machine learning (ML). Projects in this area could involve creating new techniques for natural language processing, computer vision, or autonomous systems, aiming to make machines more intelligent and capable of independent decision-making.
- Data Privacy and Security: Research projects on cybersecurity address the need to secure data and protect user privacy. Scientists may work on developing encryption methods, improving intrusion detection systems, or finding ways to safeguard personal data in digital environments.
- Quantum Computing: A highly specialized field, quantum computing research explores the development of new computing models that leverage quantum mechanics. This area of research has the potential to solve problems far beyond the reach of traditional computers, particularly in fields like cryptography and complex simulations.
- Human-Computer Interaction (HCI): Researchers in HCI work to enhance user experiences with technology by studying how people interact with devices and designing intuitive, accessible interfaces. Projects in HCI can range from wearable tech development to virtual and augmented reality applications.
How can I advance my career in computer and information research?
In 2022, there were about 5 million computer and mathematical jobs in the U.S., representing 3.4% of employment in the country (BLS, 2023). This demonstrates the significant and growing demand for professionals in the computer and information fields. As technology continues to play an integral role in our lives, there is a need for skilled individuals who can drive innovation and understand the power of data.
Advancing your career in computer and information research science requires a proactive mindset and a passion for pushing the boundaries of knowledge and technology. It requires not just advanced education and research experience but also enhanced technical and non-technical skills.
What can I do with a master’s in computer and information research science?
Job title: Computer and Information Research Scientist
A computer and information research scientist is responsible for conducting advanced research and development in the fields of computer science and information technology. Their work involves designing and developing algorithms, models, and systems, as well as analyzing large datasets to extract insights. In most cases, you will need a master’s degree, such as a degree in computer information systems or related fields to fit into the computer scientist job description.
Average salary: $131,490
What kind of job can I get with a doctorate in computer and information research science?
Job title: Research and Development Director
A research and development (R&D) Director is responsible for overseeing and managing the research and development activities within an organization. In this case, they will lead a team of computer information research scientists, guiding them in conducting innovative research, developing new technologies, and exploring novel solutions to complex problems. In addition, R&D directors are responsible for monitoring and evaluating emerging technology, ensuring adherence to timelines, budgets, and regulatory requirements.
Average salary: $221,908
Which certification is best for computer and information research science?
Certifications provide an added layer of expertise and credibility in specific areas, helping you stand out in a competitive job market or advance in your current role. While formal education provides a strong foundation, earning certifications can further demonstrate your proficiency in specific areas such as machine learning and software development (Plural Sight, 2022).
Here are some of the few common certifications that are sought after in this field:
- Certified Computer Scientist (CCS)
- Certified Analytics Professional (CAP)
- Amazon Web Services (AWS) Certified Machine Learning
- Microsoft Certified Azure Developer Associate
- Certified Secure Software Lifecycle Professional
What challenges do computer and information research scientists face in a rapidly evolving tech landscape?
Rapid technological shifts demand constant upskilling to remain proficient with emerging tools and methodologies. Research scientists must navigate challenges such as rapidly evolving cybersecurity threats, integration of multi-disciplinary data sources, and the pressure to maintain regulatory compliance amid increasing privacy concerns. Balancing innovation with risk management requires a commitment to continuous learning and adaptation in both technical expertise and strategic planning. For example, reinforcing cybersecurity skills—possibly by earning the cheapest online master's in cyber security—can be crucial in mitigating risks while advancing research initiatives.
Alternative Career Options for Computer and Information Research Scientists
Aside from the career paths we mentioned before, here are some alternative career options for computer and information scientists:
- Machine Learning Engineer: These individuals focus on developing and deploying machine learning models and algorithms. They also work on creating and optimizing systems that can learn and make predictions or decisions based on large datasets, contributing to advancements in artificial intelligence and automation.
- Cybersecurity Analyst: Professionals holding a degree in cyber security protect computer systems and networks from potential threats and breaches. They assess vulnerabilities, monitor for suspicious activities, implement security measures, and respond to security incidents to ensure data and system integrity.
- User Experience (UX) Designer: The main task of UX designers is creating intuitive and user-friendly interfaces for software applications and websites. They conduct user research, analyze user behavior, and design interfaces that optimize user satisfaction, accessibility, and the overall user experience.
- Data Engineer: Data engineers focus on building and maintaining data infrastructure and pipelines. They design and implement systems for data storage, data integration, and data processing, enabling efficient data management and analysis.
- Software Architect: These individuals design and develop high-level software structures and systems. They analyze business requirements, define technical specifications, and oversee the software development process to ensure the scalability, performance, and maintainability of complex software systems.
How is artificial intelligence shaping the future of computer and information research science?
Artificial intelligence (AI) is increasingly playing a pivotal role in the evolution of computer and information research science, influencing both the research process and the development of new technologies. AI's integration into various areas, including machine learning, data analytics, and algorithm optimization, is transforming the way researchers approach complex problems and innovate within the field.
One of the most significant impacts of AI in research science is the automation of repetitive tasks, allowing researchers to focus more on high-level problem solving and experimentation. AI-driven tools can analyze vast datasets at unprecedented speeds, uncover patterns, and suggest hypotheses, thus accelerating the pace of research. Additionally, AI is enabling the development of smarter algorithms that can predict outcomes with greater accuracy and efficiency, making it a crucial asset for computer scientists working in fields like data science, cybersecurity, and natural language processing.
For those looking to delve deeper into the cutting-edge developments in AI, pursuing an advanced degree, such as the cheapest online master’s in artificial intelligence, can equip you with the specialized knowledge and skills required to drive innovation.
Moreover, AI is not just transforming research methodologies but also the research topics themselves. From improving machine learning models to developing autonomous systems, AI is opening new avenues for exploration in fields like robotics, quantum computing, and human-computer interaction. As AI continues to evolve, computer and information research scientists must stay abreast of its advancements, ensuring they are equipped to apply AI techniques responsibly and effectively in their work.
What emerging trends are shaping the future of computer and information research science?
Emerging trends in computer and information research science are characterized by rapid advancements in quantum computing, AI-driven methodologies, and the convergence of cloud with edge computing. These innovations are redefining research protocols and driving the development of more efficient algorithms, data processing techniques, and cybersecurity frameworks. In parallel, the increasing emphasis on data privacy, ethical standards, and sustainable technology practices is reshaping industry expectations and opening new avenues for specialized roles. Continuous professional development and diversified skill sets are essential for capitalizing on opportunities in these dynamic markets, where positions such as top paying jobs in IT reflect the evolving demand for expertise.
What financial investments should I consider for a career in computer and information research science?
When considering a career in computer and information research science, it's essential to think about the financial investments required to pursue this field. One crucial aspect is the cost of education. Prospective students can explore affordable options such as online degree programs. For instance, finding the cheapest online associate degree in computer science can be a strategic move to minimize costs while acquiring foundational knowledge in computer science. Additionally, considering the potential return on investment, such as higher salary prospects and job security, can help individuals make informed decisions about their career paths in computer and information research science.
What ethical and legal responsibilities should computer and information research scientists consider?
Computer and information research scientists increasingly face ethical dilemmas and legal challenges as technology rapidly evolves. They must implement rigorous frameworks to protect data privacy, ensure algorithmic fairness, and mitigate social impacts deriving from their research. Adhering to emerging regulations and industry standards is paramount for maintaining public trust and fostering responsible innovation. For professionals looking to deepen their expertise in security aspects and ethical practices, consider checking out our post, What can you do with a masters in cybersecurity?
How can biotechnology drive interdisciplinary innovation in computer and information research science?
Advances in biotechnology are increasingly intersecting with computer and information research science, opening avenues for novel problem-solving techniques and data-driven breakthroughs. By integrating computational modeling and bioinformatics, researchers can develop innovative algorithms to analyze complex biological datasets and improve experimental methodologies. This cross-disciplinary approach not only enhances analytical capabilities but also paves the way for advancements in areas such as personalized medicine and systems biology. For professionals looking to broaden their expertise, pursuing a biotechnology master online offers a strategic opportunity to combine technical skills with cutting-edge developments in biotechnology.
What role does health information management play in advancing interdisciplinary research science?
Integrating health information management into computer and information research introduces a strategic advantage by merging health data analytics with advanced computational methods. By honing skills in data governance, regulatory compliance, and clinical interoperability, professionals can leverage these insights to address complex challenges unique to the healthcare sector. This interdisciplinary approach fosters innovative research models that not only streamline patient data management but also enhance the design of technology-driven solutions. For individuals seeking to diversify their expertise and explore opportunities at the intersection of healthcare and technology, pursuing affordable HIM online degree programs can be a transformative step.
Can advanced interdisciplinary degrees strengthen my research expertise?
Evolving industry demands emphasize the value of blending core computational skills with specialized advanced education. Pursuing interdisciplinary degrees can equip computer and information research scientists with the insights needed to address multifaceted challenges and drive innovation across sectors. Focused programs that integrate computing with areas like biology and data analytics enable professionals to bridge gaps between theory and practice. For example, exploring bioinformatics masters programs can provide strategic exposure to emerging bioinformatics trends, thereby enhancing research outcomes and broadening career opportunities.
Is a career in computer and information research science worth it?
The field of computer and information research science is constantly evolving, requiring professionals to stay updated with the latest trends, tools, and techniques. This dynamic environment provides opportunities for continuous learning and personal growth, ensuring that individuals are always at the forefront of technological advancements. So if you are interested in contributing to the advancement of this field, then this career path might be for you.
There are also developments on how technology is changing healthcare that you can look up if you are passionate about helping improve people’s lives. Additionally, these areas of research can lead to the creation of life-changing technologies and advancements in the fields of healthcare, transportation, and communication. By pursuing a career in this field, you have the opportunity to contribute to these remarkable advancements that have the potential to improve everyone’s quality of life.
Key Insights
- High Demand for Professionals: The demand for computer and information research scientists is projected to grow by 21% from 2021 to 2031, reflecting the increasing need for advanced technology and innovative solutions.
- Lucrative Salaries: Computer and information research scientists earn a median annual salary of $131,490, with specialized roles such as data scientists and deep learning scientists earning even higher.
- Diverse Career Paths: Professionals in this field can explore various roles, including AI developers, data scientists, cybersecurity analysts, and software architects, each offering unique challenges and opportunities.
- Essential Skills: Key skills required include proficiency in programming languages, algorithm design, data analysis, computer architecture, and data security. Strong mathematical, analytical, and problem-solving abilities are also crucial.
- Flexible Work Arrangements: Many research projects can be conducted remotely, providing flexibility and the opportunity for a better work-life balance.
- Educational Pathways: A solid foundation in computer science or related fields through bachelor's, master's, or doctoral programs is essential. Certifications in areas such as data science, AI, and cybersecurity can enhance career prospects.
FAQ
1. What is the job outlook for computer and information research scientists?
The job outlook is very positive, with a projected growth rate of 21% from 2021 to 2031. This high demand is driven by the increasing reliance on technology and the need for innovative solutions to complex problems.
2. What educational background is required to become a computer and information research scientist?
Typically, a bachelor's degree in computer science or a related field is required. However, most positions, especially in research, require a master's or doctoral degree. Certifications in specialized areas can also be beneficial.
3. What skills are essential for a computer and information research scientist?
Essential skills include proficiency in programming languages (such as Python, Java, C++, and R), algorithm design and analysis, data analysis, troubleshooting, computer architecture, and data security. Strong mathematical and statistical skills, adaptability, collaboration, and communication skills are also important.
4. What are some common career paths for computer and information research scientists?
Common career paths include roles such as computer and information research scientist, deep learning scientist, AI developer, data scientist, machine learning engineer, cybersecurity analyst, user experience (UX) designer, data engineer, and software architect.
5. How can I advance my career in computer and information research science?
Advancing in this field typically involves gaining experience through research projects, pursuing higher education (such as a master's or doctoral degree), obtaining relevant certifications, and continuously updating skills to keep up with technological advancements. Networking and collaborating with other professionals in the field can also enhance career prospects.
6. Are there opportunities for remote work in computer and information research science?
Yes, many research projects can be conducted remotely, providing flexibility in work arrangements. This allows professionals to work from anywhere in the world and achieve a better work-life balance.
7. What is the average salary for a computer and information research scientist?
The median annual salary for a computer and information research scientist is approximately $131,490. Specialized roles such as data scientists and deep learning scientists can earn higher salaries, reflecting the high demand for these skills.
8. What certifications are beneficial for a career in computer and information research science?
Beneficial certifications include Certified Computer Scientist (CCS), Certified Analytics Professional (CAP), Amazon Web Services (AWS) Certified Machine Learning, Microsoft Certified Azure Developer Associate, and Certified Secure Software Lifecycle Professional.
9. Can I pursue a career in computer and information research science with just a certificate?
While a certificate alone may not be sufficient for most research scientist roles, it can provide foundational knowledge and skills. Combining a certificate with a degree in computer science or a related field can enhance job prospects and open up opportunities for higher-paying roles.
10. What are some alternative career options for computer and information research scientists?
Alternative career options include machine learning engineer, cybersecurity analyst, user experience (UX) designer, data engineer, and software architect. These roles leverage the skills and knowledge gained in computer and information research science to address various technological challenges.
References:
- Bureau of Labor Statistics. (2023). Computer and Information Research Scientists. https://www.bls.gov/ooh/computer-and-information-technology/computer-and-information-research-scientists.htm
- Northwestern University. (n.d.). Research Areas. https://www.mccormick.northwestern.edu/computer-science/research/areas
- Plural Sight. (2022). Top Software Developer Certifications. https://www.pluralsight.com/blog/software-development/best-developer-certifications
- Taylor, S. (2021). Data Security. Corporate Finance Institute. https://corporatefinanceinstitute.com/resources/data-science/data-security
- University of Sunderland. (2021). What is Computer Architecture. https://online.sunderland.ac.uk/what-is-computer-architecture/
- Watters, A. (2023). 5 Ethical Issues in Technology to Watch for in 2023. CompTIA. https://connect.comptia.org/blog/ethical-issues-in-technology
