Professor of Data Science

Last Updated:
September 19, 2023

Job Description Overview

A Professor of Data Science is an expert in the field of data analysis, utilizing mathematical, statistical, and computer programming skills to gather and interpret complex data. They work in the education industry, teaching students the fundamentals of data science, and leading research to develop new data-driven solutions. As a Professor of Data Science, they may be responsible for developing and teaching courses on data mining, data visualization, programming languages, and machine learning.

This job requires strong analytical and communication skills, as well as the ability to work well in a team. The Professor of Data Science job description often involves creating lesson plans, lectures and conducting research in collaboration with other educators and industry professionals. They may also mentor students in their research projects or work alongside businesses to help them incorporate data into their operations.

Overall, a Professor of Data Science job description involves a passion for analyzing data and finding insights and trends, as well as sharing that knowledge with others.

Struggling with Product Marketing?ūüĎá
PMMTeam is a world-class Product Marketing Agency with a unique "as a service" subscription model.

Job Duties and Responsibilities

  • Teach students about data science principles, techniques, and tools.
  • Develop course materials and assignments that align with the academic standards and learning objectives of the program.
  • Evaluate and grade student work, provide feedback, and assess their progress.
  • Advise students on academic and career planning, and offer guidance on research and project opportunities.
  • Maintain a deep understanding of emerging trends, tools, and advancements in data science fields.
  • Publish research findings in academic journals or present at industry conferences.
  • Collaborate with colleagues to develop new courses, refine existing curricula, and promote interdisciplinary learning.
  • Serve on academic committees and participate in university service and outreach activities.
  • Uphold academic integrity standards and ethical practices in teaching, research, and service.
  • Foster an inclusive and supportive learning environment that promotes curiosity, critical thinking, and intellectual discovery.

Experience and Education Requirements

To become a Professor of Data Science in Education, you need both education and experience. Usually, you'll need at least a master's or a doctoral degree in Data Science, Computer Science, or related fields. You'll also need some experience in teaching, research, or industry. In general, the more education and experience you have, the better chance you'll have of getting a job as a professor. Besides, you should be passionate about data science, have good communication skills, and be able to work independently and in teams. As a professor, you'll teach students, conduct research, and share your knowledge with others to make a difference in the world of data science.

Salary Range

If you're wondering about the Professor of Data Science salary range in the education industry, the expected salary depends on various factors such as experience, location, and institution. According to Glassdoor, the average base pay for a Professor of Data Science in the United States is around $143,000 per year, with a range of $75,000 to $210,000.

In the United Kingdom, the average salary for a Professor of Data Science is around £77,000 ($106,471) per year, based on data from Payscale. In India, the average salary for a Professor of Data Science is around ₹1,500,000 ($20,163) per year, according to Indeed.

It's important to note that these figures are only estimates and may vary depending on the specific job requirements and qualifications.


  • Glassdoor:,26.htm
  • Payscale:
  • Indeed:

Career Outlook

A career as a Professor of Data Science in the Education industry is highly promising and growing steadily over the next 5 years. Experts project that the demand for data scientists and analysts will rise by 11.5 million by 2026, with data science being one of the most sought-after fields. This trend is expected to be highly prevalent across all industries, including education. The U.S. Bureau of Labor Statistics supports this expectation by estimating a 15.7% employment growth rate of postsecondary teachers, including data science professors, between 2019 to 2029. As data-driven strategies become essential, universities are developing curricula that focus on teaching foundational data skills. As a result, the demand for professors trained in data science will continue to increase, making the career outlook optimistic.

Frequently Asked Questions (FAQ)

Q: What does a Professor of Data Science do?

A: A Professor of Data Science teaches and conducts research on data analysis, machine learning, and statistical modeling. They design curricula, lecture on data science topics, supervise students, and conduct research.

Q: What are the educational requirements to become a Professor of Data Science?

A: Generally, a Ph.D. in Data Science, Statistics, Computer Science, or a related field is required. Some universities may also require you to have teaching experience.

Q: What skills are necessary to be a successful Professor of Data Science?

A: Strong analytical and problem-solving skills, excellent communication skills, and an ability to effectively teach others are essential. Additionally, proficiency in programming languages like Python, R, SQL, and machine learning tools like TensorFlow or Keras is helpful.

Q: What kinds of courses does a Professor of Data Science teach?

A: A Professor of Data Science usually teaches courses in data mining, artificial intelligence, programming, machine learning, and statistical modeling.

Q: What are the job prospects like for a Professor of Data Science?

A: Job prospects are good, as there is high demand for data scientists and data analysis skills. However, competition for professorships is tough, and tenure-track positions are increasingly rare. Therefore, it's important to remain active in research and stay up to date with developments in the field.

Copyright 2023 - All Rights Reserved // Privacy Policy
Terms and Conditions
Do Not Sell or Share My Personal information
All product names, logos, and brands are property of their respective owners. All company, product and service names used in this website are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.