This dataset was an inspiration to me to analytically find the best value Master's programs in data science given the statistics and rankings of each respective university. I acquired a majority of this data through Forbes. Though this data doesn't entirely go through every university from last year's ranking system, I went through each schools webpages through the top 250 universities to find the best value programs and if they offered a Data Science MS. I hope you use this data to make the best decision for yourself and make a respectable upgrade in your career as a Data Scientist.

NOTE: Some of the metrics are skewed for my usage i.e. I am a citizen in New York State and the cost of public universities in NY will be lesser than if you did not come from New York.

I also set a standard of 3.0 as a minimum GPA to be admitted to programs if a university did not provide a minimum GPA to be admitted.

Attribute Information:

1) School Name: Name of Given University 2) State: US State Abbreviation 3) City: US City University is located in 4) Ranking: 2021 Forbes ranking of University 5) Online: 0 -> in-person program, 1 -> online 6) Total_Tuition_Cost: Cost of Tuition in USD 7) Program_Years_Full_Time: Number of years to finish program 8) Min_Quant_GRE_Score: Quant GRE score needed to be accepted (blank if not found) 9) Min_Undergraduate_GPA: GPA needed to be accepted into program 10) Median_Salary_10yr: 10 year Median salary of former graduates (Not Exclusive to DS Majors) 11) Need_GRE: 0-> Do not need to take GRE, 1-> must take GRE 12) Institution Type: Either 'Private' or 'Public'

Main Source: (2022 Version)

https://www.forbes.com/top-colleges/

List of Top Schools of Annals of Applied Statistics sorted by citations.

Data on the top universities for Computer Science in 2025.

The top-ranked university in the United States in 2024 according to Forbes was Princeton University in New Jersey. Students at Princeton graduate with an average debt of 7,559 U.S. dollars, but have a median 10-year salary of 189,400 U.S. dollars. The Forbes rankings are based on several categories, including alumni salary, student debt, graduation rate, return on investment, retention rate, and academic success.

SCHOOL PROFICIENCY INDEXSummaryThe school proficiency index uses school-level data on the performance of 4th grade students on state exams to describe which neighborhoods have high-performing elementary schools nearby and which are near lower performing elementary schools. The school proficiency index is a function of the percent of 4th grade students proficient in reading (r) and math (m) on state test scores for up to three schools (i=1,2,3) within 1.5 miles of the block-group centroid. S denotes 4th grade school enrollment:Elementary schools are linked with block-groups based on a geographic mapping of attendance area zones from School Attendance Boundary Information System (SABINS), where available, or within-district proximity matches of up to the three-closest schools within 1.5 miles. In cases with multiple school matches, an enrollment-weighted score is calculated following the equation above. Please note that in this version of the data (AFFHT0004), there is no school proficiency data for jurisdictions in Kansas, West Virginia, and Puerto Rico because no data was reported for jurisdictions in these states in the Great Schools 2013-14 dataset. InterpretationValues are percentile ranked and range from 0 to 100. The higher the score, the higher the school system quality is in a neighborhood. Data Source: Great Schools (proficiency data, 2015-16); Common Core of Data (4th grade school addresses and enrollment, 2015-16); Maponics (attendance boundaries, 2016).Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 7.

To learn more about the School Proficiency Index visit: https://www.hud.gov/program_offices/fair_housing_equal_opp/affh ; https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Date of Coverage: 07/2020

In 2022, the median starting salary for MBA graduates of the Wharton School of the University of Pennsylvania, a leading business school in the United States, was 175,000 U.S. dollars. This figure was the same for MBA graduates of the University of Chicago's Booth School of Business and Stanford's Graduate School of Business, which were also ranked within the top three U.S. business schools in that year.

There are three files: Citations database includes a sheet for each school with citation data and a summary sheet that collects statistics for all schools. H-Index Calculation computes the h-index for all schools. Ranking includes the summary tables and figures that appear in the paper.

List of Top Schools of Springer Series in Statistics sorted by citations.

Data on the top universities for Business and Economics in 2025, including disciplines such as Accounting and Finance, Business Management, and Economics.

Business school rankings based on the share of highly active researchers.

Data on the top universities for Engineering in 2025, including disciplines such as Chemical Engineering, Civil Engineering, and Mechanical and Aerospace Engineering.

Business school rankings based on number of pages per researcher.

In 2022, Darden School of Business in Charlottesville, Virginia was ranked as the 14th best business school in the United States, with an average student debt of 114,043 U.S. dollars and average starting salary and sign-on bonus of 186,974 U.S. dollars for MBA graduates. The number one ranked business school, the Wharton School of the University of Pennsylvania, had a average MBA grad starting salary of 186,279 U.S. dollars but did not report student debt figures for 2022. Only 11 out of the 25 top ranked business schools in the U.S. reported their average student debt in that year.

List of Top Schools of Statistics, Optimization and Information Computing sorted by citations.

Business school rankings based on visibility in WoS and scopus.

A curated dataset of Ivy League admissions metrics by class year and institution, including overall acceptance rate, Regular Decision acceptance rate, Early Decision/Action acceptance rate, % of class filled by early applicants, and application volumes.

The University of Lisbon is projected to rank first in Portugal and 230th worldwide, according to the Quacquarelli Symonds (QS) World University Rankings 2026. The University of Porto follows, ranking 237th worldwide. Such rankings demonstrate the growing presence of Portuguese universities on the international stage and the investment made in improving the quality of higher education in the country. Student enrollment and popular fields of study In the academic year 2023/2024, Portugal had over 448,230 higher education students, with universities attracting the majority of enrollments across all regions. Business sciences, administration, and law emerged as the most popular fields of study, with 97,067 students, followed closely by engineering, manufacturing, and construction, which counted with 89,057 students. Educational performance and socioeconomic factors While Portugal's universities are performing well globally, the country faces challenges in pre-university education. The 2022 Program for International Student Assessment (PISA) results placed Portugal in the bottom half of European countries, with 15-year-old students scoring 484 points in science and 477 in reading. Family income significantly influenced the scores, with students from higher-income families consistently achieving better results across all categories. This may impact the performance of students attending Portuguese universities and, therefore, the institutions' global rankings.

2018 DC School Report Card. The sum of the student group scores using all applicable STAR framework metrics. This is a number from 0 – 100 points. Overall STAR score for the school based on all applicable framework scores and student groups. Star value assigned to the school based on the STAR score.1, 2, 3, 4, or 5. Supplemental:Metric scores are not reported for n-sizes less than 10; metrics that have an n-size less than 10 are not included in calculation of STAR scores and ratings.At the state level, teacher data is reported on the DC School Report Card for all schools, high-poverty schools, and low-poverty schools. The definition for high-poverty and low-poverty schools is included in DC's ESSA State Plan. At the school level, teacher data is reported for the entire school, and at the LEA-level, teacher data is reported for all schools only.On the STAR Framework, 203 schools received STAR scores and ratings based on data from the 2017-18 school year. Of those 203 schools, 2 schools closed after the completion of the 2017-18 school year (Excel Academy PCS and Washington Mathematics Science Technology PCHS). Because those two schools closed, they do not receive a School Report Card and report card metrics were not calculated for those schools.Schools with non-traditional grade configurations may be assigned multiple school frameworks as part of the STAR Framework. For example, a K-8 school would be assigned the Elementary School Framework and the Middle School Framework. Because a school may have multiple school frameworks, the total number of school framework scores across the city will be greater than the total number of schools that received a STAR score and rating.Detailed information about the metrics and calculations for the DC School Report Card and STAR Framework can be found in the 2018 DC School Report Card and STAR Framework Technical Guide (https://osse.dc.gov/publication/2018-dc-school-report-card-and-star-framework-technical-guide).

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

Reading 005, Reading full crime rankings and individual crime statistics updated monthly. See how safe Reading 005, Reading is as well as all recent crimes.