Average IQ for Data Science Majors
Average IQ Range
118–128
IQ Classification
High Average range
Overview
Data science sits at the intersection of statistics, computer science, and domain expertise. The field requires rigorous statistical reasoning to design experiments and draw valid inferences from data, programming proficiency in Python or R to implement models, and mathematical foundations in linear algebra and probability theory. Machine learning, the most in-demand component of data science, requires understanding of optimization theory, probability, and computational complexity. Top data science programs are highly competitive and produce graduates with cognitive profiles comparable to statistics and applied mathematics majors.
To understand what these IQ ranges mean, see our complete IQ score ranges guide. You can also check where specific scores fall: Is 125 IQ Good?
SAT & GRE Correlation
Data science majors combine statistics, computer science, and domain expertise. GRE scores for data science and applied statistics graduate programs typically require Quantitative scores of 160+ at top programs. Undergraduate data science students from strong programs show similar academic profiles to statistics and computer science majors. The field's demand for statistical modeling, programming, and mathematical reasoning aligns closely with IQ quantitative subtests.
For more on how standardized test scores relate to IQ, see our SAT to IQ conversion guide and GRE to IQ conversion guide.
Top Programs
- Carnegie Mellon
- UC Berkeley
- MIT
- University of Washington
Career Paths
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Research Scientist
Curious how these careers compare? See our full IQ by career chart.
How Does Data Science Compare to Other Majors?
| Major | Average IQ Range |
|---|---|
| Data Science | 118–128 |
| Statistics | 122–132 |
| Computer Science | 120–130 |
| Mathematics | 125–135 |
Frequently Asked Questions
What is the average IQ of a data science major?
Data science majors are estimated to average IQ scores of 118–128, reflecting the strong quantitative demands of the field. Data science requires proficiency in statistics, programming, and mathematical modeling simultaneously. Top programs at CMU, Berkeley, and MIT are highly selective and attract students with cognitive profiles comparable to statistics and computer science majors.
Is data science harder than computer science?
Data science and computer science require overlapping but distinct skills. Computer science is more theoretically grounded in algorithms, complexity theory, and programming language theory. Data science requires stronger statistical reasoning and probabilistic thinking. Both are demanding; data science may be more mathematically statistical, while CS is more computationally theoretical. The practical difficulty depends heavily on the specific courses and specializations pursued.
What skills do data scientists need?
Core data science skills include statistical inference and experimental design, programming (Python, R, SQL), machine learning model development and evaluation, data visualization, and domain-specific knowledge. Communication skills are also critical — data scientists must translate complex quantitative findings for non-technical stakeholders. Mathematical foundations in linear algebra, probability theory, and calculus underpin the most sophisticated work.
Explore More Majors
Learn more about what IQ measures, or take our free IQ test to see where you stand.
MyIQScores Editorial Team
Researchers in cognitive psychology, psychometrics & educational science
Last updated
May 10, 2026
All content on MyIQScores is reviewed for scientific accuracy against peer-reviewed research in cognitive psychology and psychometrics. Our editorial team cross-references each article with published literature before publication and updates pages whenever new research warrants a revision.