Mathematical Science Teachers, Postsecondary
Teach courses pertaining to mathematical concepts, statistics, and actuarial science and to the application of original and standardized mathematical techniques in solving specific problems and situations. Includes both teachers primarily engaged in teaching and those who do a combination of teaching and research.
🎬Career Video
📋Key Responsibilities
- •Compile, administer, and grade examinations, or assign this work to others.
- •Evaluate and grade students' class work, assignments, and papers.
- •Prepare and deliver lectures to undergraduate or graduate students on topics such as linear algebra, differential equations, and discrete mathematics.
- •Maintain student attendance records, grades, and other required records.
- •Prepare course materials, such as syllabi, homework assignments, and handouts.
- •Plan, evaluate, and revise curricula, course content, and course materials and methods of instruction.
- •Maintain regularly scheduled office hours to advise and assist students.
- •Initiate, facilitate, and moderate classroom discussions.
💡Inside This Career
The mathematics professor teaches and researches mathematics—educating students in areas from calculus to abstract algebra to applied statistics while producing scholarship that advances mathematical knowledge and its applications. A typical week during the academic term blends teaching with research and service. Perhaps 40% of time goes to teaching: preparing lectures, conducting classes, holding office hours. Another 35% involves research—proving theorems, developing theory, writing papers. The remaining time splits between grading, committee service, advising, and professional activities.
People who thrive as mathematics professors combine exceptional mathematical ability with teaching skill and the intellectual tenacity that mathematical research requires. Successful professors develop research specializations while building the pedagogical skills that help students understand abstract concepts. They must tolerate long periods without research breakthroughs and explain complex ideas to students with varying mathematical preparation. Those who struggle often cannot produce research in highly competitive fields or find teaching service courses to unmotivated students frustrating. Others fail because they cannot communicate mathematical ideas at accessible levels.
Mathematics education provides the quantitative foundation that many fields require while advancing mathematical knowledge through research that may have applications ranging from immediate to decades delayed. The field maintains the pure mathematics tradition while also embracing applied mathematics and statistics. Mathematics professors appear in discussions of STEM education, mathematical research, and the fundamental training that quantitative fields require.
Practitioners cite the beauty of mathematical ideas and the satisfaction of helping students understand mathematical thinking as primary rewards. The elegance of mathematical proof provides aesthetic pleasure. The teaching shapes quantitative literacy. The intellectual freedom is valued. The mathematical community is collegial. The work contributes to enduring knowledge. Common frustrations include the teaching loads that limit research time and the challenge of engaging students who view mathematics as an obstacle rather than opportunity. Many find that most students take math as requirements, not interest. The research can be solitary. The job market is competitive. Applied mathematicians may feel pulled between pure and applied work.
This career requires a doctoral degree in mathematics, statistics, or related field, with research productivity essential for tenure-track positions. Strong mathematical, teaching, and communication skills are required. The role suits those passionate about mathematics who can convey that passion to students. It is poorly suited to those preferring applied work to research, uncomfortable with abstract thinking, or seeking work outside academia. Compensation is moderate to good, with variation by institution and specialty.
📈Career Progression
📚Education & Training
Requirements
- •Entry Education: Master's degree
- •Experience: Extensive experience
- •On-the-job Training: Extensive training
- !License or certification required
Time & Cost
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AI Resilience Assessment
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