Is a PhD in Computer Science Worth It in 2024?

Philippe Barr, PhD
12 min readJan 27, 2023

As applicants dutifully craft their graduate school statements of purpose and tailor their applications in hopes of acceptance, a fundamental question lingers — is pursing a PhD in Computer Science truly worth the immense investment of time, money and effort in 2024 and beyond? While a PhD opens doors to prestigious academic research positions and confers the highest academic credential, the opportunity costs and uncertainty surrounding the job market, particularly for new PhDs, are substantial. In this post, we’ll explore both sides of the “Is a PhD in computer science worth it?: question through rigorous analysis of admissions trends, employment outcomes, earning potential and quality of life considerations. Our goal is not to make the decision for you, but to present our perspective on the ROI of a PhD in computer science in today’s rapidly changing technological and economic landscape to help inform your choice.

Navigating the Digital Frontier

In the rapidly evolving digital era, asking the questions: “Is a PhD in Computer Science worth it in 2024?” is a highly relevant question. The decision isn’t trivial, as it involves considering both the significant time and financial investments required for doctoral studies.

One must consider the technological advancements and the increasing demand for advanced skills in artificial intelligence, machine learning, data science, cybersecurity, and other specialized areas of computer science. For example, breakthroughs in AI and machine learning have opened up new avenues of research and practical applications, from self-driving cars to predictive analytics in healthcare, necessitating a deeper understanding that often a PhD education can provide.

At the same time, cybersecurity threats have become more sophisticated, requiring advanced expertise to design robust security systems. Furthermore, the rise in big data has created an escalating demand for data scientists capable of analyzing and interpreting complex sets of information.

Weighing the Pros and Cons

However, if you are asking yourself “Is a PhD in computer science worth it?” there are compelling arguments against pursuing a PhD in Computer Science in 2024. The time commitment is significant, often requiring 4–5 years of dedicated study beyond a master’s degree. This time could otherwise be used to gain practical experience in the industry and climb the career ladder. As rapidly as technology evolves, there is a risk that the specific area of research chosen at the start of a PhD might become obsolete by the time the degree is completed. Moreover, the financial return on investment isn’t always guaranteed.

According to Payscale, the average salary for a PhD in Computer Science is approximately $139,000 per year, while a Software Engineer with a bachelor’s degree and five-plus years of experience can potentially earn around the same salary or even more. Also, the increasing availability and quality of online learning platforms and bootcamps provide cheaper and faster alternatives to acquire advanced skills in AI, machine learning, data science, and cybersecurity, challenging the exclusivity of PhD programs for high-level education in these fields.

While these arguments against pursuing a PhD in Computer Science may hold weight, there are still valid reasons for considering this advanced degree.

Why a PhD?

A PhD in Computer Science does not merely represent the pinnacle of formal education in the field but serves as a conduit to an expansive realm of opportunities and intellectual challenges that go beyond the conventional. It is a journey that encourages the exploration of uncharted territories in technology, the creation of new knowledge, the refinement of existing theories, and the chance to contribute significantly to the evolution of computer science.

Today, the motivations for undertaking this rigorous academic expedition are as diverse as the subject itself. For some, a PhD serves as a stepping stone into academia, a platform from which they can educate future generations of tech enthusiasts and drive forward the boundaries of research. Others are drawn to the comprehensive understanding and mastery of a specific topic that a PhD provides, skills that are highly sought after in a competitive job market.

In an era where technology is rapidly evolving and its impact on society is profound, a PhD also offers the privilege to influence this trajectory and address significant societal challenges. The question then arises, do these motivations still hold true in 2024?

The answer seems to be a resounding yes. As the pace of technological advancement accelerates, the demand for experts capable of navigating and shaping this landscape grows. A PhD in Computer Science continues to open doors to exciting careers in academia, research, and the tech industry while offering the personal satisfaction of an in-depth understanding of the field.

ROI of a PhD

The return on investment (ROI) of a PhD in Computer Science versus a career as a software engineer depends heavily on several factors, including career goals, job market dynamics, and personal interests. On a strictly financial basis, the ROI for a software engineer can be more immediately rewarding in the short and medium-term. Nonetheless, a PhD can offer non-monetary rewards such as personal fulfillment, academic influence, and a deeper understanding of specific areas in the field. Therefore, when evaluating the ROI of a PhD, it is crucial to consider both financial and non-financial returns, as well as individual career aspirations.

Job opportunities

For many, the important question: Is a PhD in computer science worth it? is embedded in career considerations. When it comes to job opportunities, the career paths available to master’s-level graduates and PhD holders diverge significantly, shaped by the educational focus of each degree. Master’s graduates, particularly in computer science, often find themselves in high-demand industry roles like software developers, data scientists, or systems analysts, where they can apply their technical skills and theoretical knowledge directly. Industry demand for such roles is burgeoning with the increasing digitisation of our world and the pivotal role technology plays across sectors.

On the other hand, PhD graduates, equipped with a deeper proficiency and specialisation in their field of study, often find opportunities in academia or research-intensive roles. They contribute to cutting-edge advancements in their field, often as research scientists or professors. The demand in academia, however, does not mirror the explosive growth seen in the industry. The number of academic positions is often limited, creating a highly competitive environment.

However, industry opportunities for PhD holders are on the rise, particularly in sectors like technology, pharmaceuticals, and finance, where research and development are critical. These roles often offer the chance to work on challenging problems, pushing the boundaries of what’s possible in their field.

Consequently, the choice between a master’s or a PhD should hinge on individual career aspirations, whether they lean towards immediate application of skills in industry roles or contributing to the knowledge pool with intensive research.

Lifestyle considerations

When contemplating lifestyle considerations between pursuing a PhD or opting for a career in software engineering, it is crucial to recognise the distinct challenges and rewards each path presents. The PhD journey can be a long and arduous one, often requiring a significant investment of time and intellectual effort over several years. It involves long hours of intensive research, extensive reading, and rigorous academic writing, often with little financial remuneration. Stress levels can be high due to the pressure to publish and uncertain job prospects. The work-life balance can be skewed, with late-night study sessions and minimal time for leisure or family.

However, a PhD can also be immensely rewarding. It offers the chance to delve deeply into a topic of interest, contribute to the body of knowledge in a field, and might lead to a career in academia or high-level research, impacting the future of science, technology, or society.

On the other hand, a software engineering career, while also demanding, provides immediate financial benefits and stability. Work hours in software engineering can be long, especially during project sprints, but they are often compensated by competitive salary packages, comprehensive benefits, and a more predictable work schedule. Stress in this career can stem from tight deadlines, demanding clients, or technical challenges, but the satisfaction of solving problems, seeing tangible results from one’s work, and potential for rapid career advancement can offset these pressures. The work-life balance might be more manageable, with more time for personal pursuits and family. However, it’s worth noting that software engineering does not offer the same depth of specialization or potential for academic contribution as a PhD. Consequently, the choice between these paths should be guided by one’s personal and professional goals, financial needs, and lifestyle preferences.

Alternatives to a PhD

While a PhD offers extensive knowledge and research opportunities, it’s not the only path to gain expertise in fields like AI and ML. A master’s degree in computer science or data science can also provide a solid foundation in these areas and provide a satisfying answer to the “Is a PhD in computer science worth it?” question for many prospective students.

Master’s programs are typically shorter in duration and more application-focused, making them a practical choice for those aiming to enter the industry swiftly. They often allow students to specialize in a sub-discipline, such as AI or ML, and provide hands-on experience through projects and internships.

Further, many prestigious universities and organizations offer online courses on platforms like Coursera, edX, and Udacity. These courses, often taught by industry experts, offer flexible learning schedules and are a cost-effective way to gain knowledge in specific areas. They also provide certificates upon completion, which can enhance your professional profile. For those contemplating a career switch, these options could be valuable.

Bootcamps, intensive training programs that teach coding and data skills, are another alternative. They provide focused, practical training in a short time frame, enabling career transitions into tech roles. However, it’s important to note that while these alternatives can provide the necessary technical skills, the depth of knowledge and research experience that a PhD offers might still be required for certain roles, particularly those in research and academia.

Individual factors

Individual factors play a critical role in determining whether pursuing a PhD is the right choice. First and foremost, personal interest and intellectual curiosity cannot be discounted. A PhD is a rigorous and intensive endeavor, often requiring several years of study, and success in such a program often hinges on having a genuine passion for the subject matter. Those who derive satisfaction from conducting original research and contributing new knowledge to their field may find a PhD to be immensely rewarding.

Additionally, a person’s career aspirations greatly influence the value of a PhD. Those aiming for high-level research roles, faculty positions, or leadership roles in certain technical industries might find a PhD essential, as it provides a level of depth and specialization that’s often sought in these positions.

Conversely, for those interested in roles that prioritize practical skills and immediate application, alternatives like master’s programs or bootcamps might be more beneficial. Furthermore, individual skill sets and learning styles can also impact this decision. A PhD program requires a high level of independence, critical thinking, and resilience in the face of challenges and setbacks. Those who thrive in this type of environment may find a PhD program to be a good fit.

What to look for when choosing a PhD in computer science

When choosing a PhD in computer science, several important factors should be taken into account. The reputation and academic rigor of the institution and program are paramount; they not only affect the quality of education you’ll receive but also how your degree is perceived in the academic and professional community. Look at the university’s research output, faculty expertise, and alumni success to gauge this. Faculty members play a critical role in your doctoral journey; their research interests should align with yours, and they should be open to mentoring students.

The department’s resources, including research facilities and funding opportunities, can greatly impact your PhD experience. Having access to advanced technology and software, research funding, and opportunities to attend conferences or workshops, can enhance your learning and research.

Program curriculum is another important consideration; it should provide a balance of breadth and depth, covering fundamental courses and allowing specialization in your area of interest.

The program’s time length is another factor to consider; a PhD can take anywhere from 3 to 6 years, depending on the program and your pace of study. Evaluating these considerations can help you identify a program that aligns with your career goals and provide a strong foundation for your future in computer science.


How difficult is it to get admitted?

Securing admission into a PhD in Computer Science program in 2024 is anticipated to be quite challenging, given the increasing competition and stringent selection criteria. The surge in the demand for computer scientists, fueled by rapid technological advancements, has led to a rise in applications for such programs.

Universities are looking for candidates with a solid foundation in computer science fundamentals, combined with research experience and potential. Most require a master’s degree in computer science or a related field, although some do admit exceptional candidates with only a bachelor’s degree.

Apart from academic qualifications, universities consider the candidate’s GRE scores, letters of recommendation, research statement, and personal statement. Strong letters of recommendation that attest to the candidate’s research prowess can significantly enhance the application. A well-articulated research statement that aligns with the research interests of the faculty can also make a compelling case for admission. The personal statement should reflect the candidate’s passion for computer science and demonstrate their commitment to contributing to the field.

An applicant’s publications and participation in research projects or internships can further strengthen the application.

In essence, a combination of academic excellence, research experience, and a compelling personal narrative are crucial in securing admission into a computer science PhD program in 2024.

Making the decision: Don’t do it alone

Navigating the complex decision-making process around pursuing a PhD in computer science in 2024 can be significantly eased by seeking the guidance of mentors and experienced individuals in the field. These individuals, be they professors, seniors in academia, industry professionals, or career counselors, can provide a wealth of insights about the current trends, future prospects, and implicit challenges of a career in computer science research. They can assist in evaluating the alignment between individual career aspirations, academic interests, and the commitment required for a doctorate.

Furthermore, mentors can play a pivotal role in strengthening your application process. They can provide feedback on your research statement, help articulate your personal narrative, and might offer invaluable letters of recommendation. The benefits of seeking such mentorship are multifold — from making an informed decision about your future to gaining a competitive edge in the admission process. In a field as dynamic and rapidly evolving as computer science, such mentorship could make the crucial difference between merely surviving and truly thriving in your academic journey.


In conclusion, pursuing a PhD in computer science is not a decision to be taken lightly. While it can open doors to prestigious academic positions and comes with the title of highest academic credential, there are significant opportunity costs and job market uncertainties to consider. However, after delving into admissions trends, employment outcomes, earning potential, and quality of life considerations, it’s clear that a doctoral degree in computer science is still a valuable investment in 2024 and beyond. Ultimately, the choice rests on whether one is truly passionate about research and the advancements of technology, as well as their individual career aspirations.

We hope this post has provided insight into both sides of the argument if you have have been wondeing “Is a PhD in computer science worth it?” and helped guide your decision-making process. Remember, our goal is not to make the decision for you but provide valuable information to empower you in making an informed choice. If you decide that a PhD in computer science is the right path for you, be sure to check out our PhD application services for personalized guidance and support on your journey towards a fulfilling and rewarding career in academia or industry. As always, keep exploring, stay curious, and never stop learning!

With a Master’s from McGill University and a Ph.D. from New York University, Dr. Philippe Barr is the founder of The Admit Lab. As a tenure-track professor, Dr. Barr spent a decade teaching and serving on several graduate admission committees at UNC-Chapel Hill before turning to full-time consulting. With more than seven years of experience as a graduate school admissions consultant, Dr. Barr has stewarded the candidate journey across multiple master’s and Ph.D. programs and helped hundreds of students get admitted to top-tier graduate programs all over the world.

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Originally published at on January 27, 2023.



Philippe Barr, PhD

I am Philippe Barr, founder of The Admit Lab, a graduate school admissions consultancy that helps students get admitted into grad school: