In the academic year of 2020/21, about 202,334 Master's degrees were earned in business across the United States, making it the most common master's degree earned. In that same year, another 47,257 Master's degrees were earned in engineering.

The Graduate Students and Postdoctorates in Science and Engineering survey is an annual census of all U.S. academic institutions granting research-based master's degrees or doctorates in science, engineering, and selected health fields as of fall of the survey year. The survey, sponsored by the National Center for Science and Engineering Statistics within the National Science Foundation and by the National Institutes of Health, collects the total number of master's and doctoral students, postdoctoral appointees, and doctorate-level nonfaculty researchers by demographic and other characteristics such as source of financial support. Results are used to assess shifts in graduate enrollment and postdoc appointments and trends in financial support. This dataset includes GSS assets for 2022.

In the academic year of 2022, it is expected that 551,460 female and 331,530 male students will earn a Master’s degree in the United States. These figures are a significant increase from the academic year of 1950, when 16,980 female students and 41,220 male students earned a Master’s degree.

What is a Master’s degree?

A Master’s degree is an academic degree granted by universities after finishing a Bachelor’s degree. Master’s degrees focus in on a specific field and are more specialized than a Bachelor’s. A typical Master’s program is about two years long, with the final semester focusing on the thesis. Master’s degree programs are usually harder to get into than Bachelor’s degree programs, due to the rigor of the program. Because these programs are so competitive, those with a Master’s degree are typically paid more than those with a Bachelor’s degree.

Master’s degrees in the United States

The number of master’s degrees granted in the United States has steadily increased since the 1970s and is expected to continue to increase. In 2021, the Master’s degree program with the worst job prospects in the United States by mid-career median pay was counseling, while the program with the best job prospects was a physician's assistant.

With the enactment of the Higher Education Opportunity Act (HEOA) of 2008, five Predominantly Black Institutions are eligible to receive funding to improve graduate education opportunities at the master’s level in mathematics, engineering, physical or natural sciences, computer science, information technology, nursing, allied health or other scientific disciplines where African American students are underrepresented. Types of Projects Institutions may use federal funds for activities that include: Purchase, rental or lease of scientific or laboratory equipment for educational purposes, including instructional and research purposes; Construction, maintenance, renovation and improvement in classroom, library, laboratory and other instructional facilities, including purchase or rental of telecommunications technology equipment or services; Purchase of library books, periodicals, technical and other scientific journals, microfilm, microfiche, and other educational materials, including telecommunications program materials; Scholarships, fellowships, and other financial assistance for needy graduate students to permit the enrollment of students in, and completion of a master’s degree in mathematics, engineering, physical or natural sciences, computer science, information technology, nursing, allied health, or other scientific disciplines in which African Americans are underrepresented; Establishing or improving a development office to strengthen and increase contributions from alumni and the private sector; Assisting in the establishment or maintenance of an institutional endowment to facilitate financial independence pursuant to Section 331; Funds and administrative management, and the acquisition of equipment, including software, for use in strengthening funds management and management information systems; Acquisition of real property that is adjacent to the campus in connection with the construction, renovation, or improvement of, or an addition to, campus facilities; Education or financial information designed to improve the financial literacy and economic literacy of students or the students’ families, especially with regards to student indebtedness and student assistance programs under title IV; Tutoring, counseling, and student service programs designed to improve academic success; Faculty professional development, faculty exchanges, and faculty participation in professional conferences and meetings; and Other activities proposed in the application that are approved by the Secretary as part of the review and acceptance of such application.

The best master's degree for getting a job was considered to be Physicians Assistant with a mid-career median salary of ****** U.S. dollars in 2021. Salaries for nurse practitioner and computer science master's were also high.

This page provides information about award recipients, project abstracts, and summaries of competitions under the Master's Degree Programs at Historically Black Colleges and Universities Program.

Probabilistic models such as logistic regression, Bayesian classification, neural networks, and models for natural language processing, are increasingly more present in both undergraduate and graduate statistics and data science curricula due to their wide range of applications. In this article, we present a one-week course module for students in advanced undergraduate and applied graduate courses on variational inference, a popular optimization-based approach for approximate inference with probabilistic models. Our proposed module is guided by active learning principles: In addition to lecture materials on variational inference, we provide an accompanying class activity, an R shiny app, and guided labs based on real data applications of logistic regression and clustering documents using Latent Dirichlet Allocation with R code. The main goal of our module is to expose students to a method that facilitates statistical modeling and inference with large datasets. Using our proposed module as a foundation, instructors can adopt and adapt it to introduce more realistic case studies and applications in data science, Bayesian statistics, multivariate analysis, and statistical machine learning courses.

Graduation of master's degree students, within the field of study grouping (Variant of the Classification of Instructional Programs (CIP) Canada 2021 Version 1.0 for Science, technology, engineering and mathematics (STEM) and Business, humanities, health, arts, social science and education (BHASE) groupings) and province or territory of first enrolment, by demographic characteristics. The STEM grouping includes fields of study in science, technology, engineering, and mathematics and computer sciences. The BHASE grouping includes fields of study in business, humanities, health, arts, social science, education, legal studies, trades, services, natural resources and conservation.

In 2024, it was projected that people in the United States with a Master’s degree in Computer Science would have the highest average starting salary, at 85,403 U.S. dollars. People who held a Master’s degree in Engineering were projected to have the second-highest starting salary, at 83,628 U.S. dollars. An abundance of Masters As higher education in the United States has become more common, and even expected, the number of Master’s degrees awarded has increased. During the 1949-50 academic year, about 58,180 Master’s degrees were awarded to students, with the vast majority being earned by male students. In the 2018-19 academic year, this figure increased to about 833,710 Master’s degrees awarded, with the majority being earned by female students. The right career While Engineering might have the highest starting pay for Master’s degree holders, those with a Master’s degree as a Physician Assistant had the highest mid-career median pay in 2021. Engineering continues to be one of the most popular fields for those seeking their Master’s degree, and STEM fields continue to dominate the field in number of Master’s degrees awarded.

Financial overview and grant giving statistics of Sigma Delta Epsilon Graduate Women In Science Inc

This pie chart illustrates the distribution of degrees—Bachelor’s, Master’s, and Doctoral—among PERM graduates from Master Of Science In Statistics. It shows the educational composition of students who have pursued and successfully obtained permanent residency through their qualifications in Master Of Science In Statistics. This visualization helps to understand the diversity of educational backgrounds that contribute to successful PERM applications, reflecting the major’s role in fostering students’ career paths towards permanent residency in the U.S.

The Survey of Graduate Students and Postdoctorates in Science and Engineering (GSS) is an annual census conducted by the U.S. National Center for Science and Engineering Statistics (NCSES) under the National Science Foundation (NSF) and co-sponsored by the National Institutes of Health (NIH). It collects data from all U.S. academic institutions granting research-based master’s or doctoral degrees in science, engineering, and selected health fields as of fall each year. The dataset includes the total number of graduate students (master’s and doctoral), postdoctoral appointees, and doctorate-level nonfaculty researchers, categorized by demographics (e.g., gender, race/ethnicity), field of study, citizenship status, funding sources, and institutional characteristics. Its primary purpose is to track trends in STEM education and workforce development, supporting policy decisions, resource allocation, and research on workforce diversity and training. Key features include its comprehensive coverage of U.S. institutions, granular demographic breakdowns, and longitudinal data for analyzing changes over time. Unique aspects are its role as the sole federal survey capturing institutional-level data on graduate students and postdocs, making it critical for understanding STEM education pipelines and workforce dynamics. The dataset is widely used by policymakers, researchers, and institutions to assess workforce needs and equity in STEM fields.

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in scientific research. Ten years after the publication of "Computing in the Statistics Curriculum,'' the nature of statistics continues to change, and computing skills are more necessary than ever for modern scientific researchers. In this paper, we describe research on the design and implementation of a suite of data science workshops for environmental science graduate students, providing students with the skills necessary to retrieve, view, wrangle, visualize, and analyze their data using reproducible tools. These workshops help to bridge the gap between the computing skills necessary for scientific research and the computing skills with which students leave their statistics service courses. Moreover, though targeted to environmental science graduate students, these workshops are open to the larger academic community. As such, they promote the continued learning of the computational tools necessary for working with data, and provide resources for incorporating data science into the classroom.

Methods Surveys from Carpentries style workshops the results of which are presented in the accompanying manuscript.

Pre- and post-workshop surveys for each workshop (Introduction to R, Intermediate R, Data Wrangling in R, Data Visualization in R) were collected via Google Form.

The surveys administered for the fall 2018, spring 2019 academic year are included as pre_workshop_survey and post_workshop_assessment PDF files. 
The raw versions of these data are included in the Excel files ending in survey_raw or assessment_raw.

  The data files whose name includes survey contain raw data from pre-workshop surveys and the data files whose name includes assessment contain raw data from the post-workshop assessment survey.


The annotated RMarkdown files used to clean the pre-workshop surveys and post-workshop assessments are included as workshop_survey_cleaning and workshop_assessment_cleaning, respectively. 
The cleaned pre- and post-workshop survey data are included in the Excel files ending in clean. 
The summaries and visualizations presented in the manuscript are included in the analysis annotated RMarkdown file.

Historical Dataset of Ms School For Math And Science School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Expenditure Trends,Average Expenditure Per Student Trends,Graduation Rate Trends,American Indian Student Percentage Comparison Over Years (2006-2023),Asian Student Percentage Comparison Over Years (1996-2023),Hispanic Student Percentage Comparison Over Years (2000-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2016-2023),Comparison of Students By Grade Trends

This collection automatically includes metadata, the source of which is the GOVERNMENT OF THE REPUBLIC OF SLOVENIA STATISTICAL USE OF THE REPUBLIC OF SLOVENIA and corresponding to the source database entitled “Masters, specialists and doctors of science at universities and independent higher education institutions by type of education completed and sex, Slovenia, annually”.

Actual data are available in Px-Axis format (.px). With additional links, you can access the source portal page for viewing and selecting data, as well as the PX-Win program, which can be downloaded free of charge. Both allow you to select data for display, change the format of the printout, and store it in different formats, as well as view and print tables of unlimited size, as well as some basic statistical analyses and graphics.

Weighted average tuition fees by field of study for full-time Canadian graduate students. Data are collected from all publicly funded Canadian degree-granting institutions.

Taiwan Number of Graduate: HE: Female: Natural Science data was reported at 1,582.000 Person in 2016. This records an increase from the previous number of 1,545.000 Person for 2015. Taiwan Number of Graduate: HE: Female: Natural Science data is updated yearly, averaging 1,411.000 Person from Jul 1998 (Median) to 2016, with 19 observations. The data reached an all-time high of 1,698.000 Person in 2012 and a record low of 920.000 Person in 1999. Taiwan Number of Graduate: HE: Female: Natural Science data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under Global Database’s Taiwan – Table TW.G057: Number of Graduate.

Taiwan Number of Graduate: HE: Male: Education Science data was reported at 2,397.000 Person in 2017. This records a decrease from the previous number of 2,625.000 Person for 2016. Taiwan Number of Graduate: HE: Male: Education Science data is updated yearly, averaging 3,607.500 Person from Jul 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 4,860.000 Person in 1998 and a record low of 2,397.000 Person in 2017. Taiwan Number of Graduate: HE: Male: Education Science data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under Global Database’s Taiwan – Table TW.G057: Number of Graduate.

In 2016, employability among masters graduates in science was about ** percent, a decrease from about ** percent in 2014. The overall employability rate in 2016 was about ** percent in the south Asian country of India.

Historical Dataset of Dove Science Academy South Ms Okc is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2019-2023),Total Classroom Teachers Trends Over Years (2019-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2019-2023),American Indian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (2019-2023),Black Student Percentage Comparison Over Years (2019-2023),White Student Percentage Comparison Over Years (2019-2023),Two or More Races Student Percentage Comparison Over Years (2019-2023),Diversity Score Comparison Over Years (2019-2023)