In the academic year of 2021/22, about 880,250 students were awarded a Master's degree in the United States. This figure is projected to increase by the academic year of 2031/32, when it is forecasted that 1,000,460 students will be awarded a Master's degree.

That sounds like a valuable dataset for anyone interested in pursuing a master's degree in Data Science or Analytics in the United States! This dataset is very helpful to pursuing a master's degree in the US. - Are you looking to analyze this dataset for any specific insights or purposes? - Do you need assistance with anything related to it?

About .csv file

• Subject Name: The name or field of study of the master's program, such as Data Science, Data Analytics, or Applied Biostatistics.
• University Name: The name of the university offering the master's program.
• Per Year Fees: The program's tuition fees are usually in euros per year. For some programs, the fees may be listed as "full" or "full-time," indicating a lump sum for the entire program or full-time enrollment, respectively.
• About Program: A brief description or overview of the master's program, providing insights into its curriculum, focus areas, and any unique features.
• Program Duration: The duration of the master's program, typically expressed in years or months.
• University Location: The location of the university where the program is offered, including the city and state.
• Program Name: The official name of the master's program, often indicating its degree type (e.g., M.Sc. for Master of Science) and format (e.g., full-time, part-time, online).

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/

Detailed online statistics for player Master Kaatz from world Celebra. View daily activity and session history.

According to an online survey conducted in February 2025 in the United States, ********* of LinkedIn users held a bachelor degree or equivalent. Additionally, ** percent of LinkedIn users in the U.S. held a masters degree or equivalent.

Detailed online statistics for player Master of Wild Nature from world Secura. View daily activity and session history.

This dataset provides Census 2021 estimates for National Statistics Socio-economic Classification (NS-SeC) by sex in Northern Ireland. The estimates are as at census day, 21 March 2021.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

The quality assurance report can be found here

The pie chart showcases the distribution of app/software spending by store category in Montserrat, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Apparel exhibits the highest spending, with a total expenditure of $1.00K units representing 100.00% of the overall spending. Following closely behind is Gifts & Special Events with a spend of $0.00 units, comprising <0.01% of the total. Sports also contributes significantly with a spend of $0.00 units, accounting for <0.01% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

Detailed online statistics for player Master Bebezinho from world Inabra. View daily activity and session history.

This chart offers an insightful look at the store count by category in Montserrat. Leading the way is Apparel, with 1 stores, which is 33.33% of the total stores in the region. Next is Gifts & Special Events, contributing 1 stores, or 33.33% of the region's total. Sports also has a notable presence, with 1 stores, making up 33.33% of the store count in Montserrat. This breakdown provides a clear picture of the diverse retail landscape in Montserrat, showcasing the variety and scale of stores across different categories.

Descriptive statistics-aggregate data.

Detailed online statistics for player Masters Lulu from world Inabra. View daily activity and session history.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in Northern Ireland by their highest level of qualification, and by broad age bands. The estimates are as at census day, 21 March 2021.

The census collected information on the usually resident population of Northern Ireland on census day (21 March 2021). Initial contact letters or questionnaire packs were delivered to every household and communal establishment, and residents were asked to complete online or return the questionnaire with information as correct on census day. Special arrangements were made to enumerate special groups such as students, members of the Travellers Community, HM Forces personnel etc. The Census Coverage Survey (an independent doorstep survey) followed between 12 May and 29 June 2021 and was used to adjust the census counts for under-enumeration.

'Age' is age at last birthday.

Qualification

• No qualifications: No academic or professional qualifications.
• Level 1: 1-4 GCSEs, O Levels, CSEs (any grades); NVQ level 1; or equivalent qualifications.
• Level 2: 5+ GCSEs (Grades A*-C, 9-4), O Levels (Passes), CSEs (Grade 1); 1 A Level, 2-3 AS Levels; NVQ level 2, BTEC General, City and Guilds Craft; or equivalent qualifications. Apprenticeship.
• Level 3: 2+ A Levels, 4+ AS Levels; NVQ Level 3, BTEC National, OND or ONC, City and Guilds Advanced Craft; or equivalent qualifications.
• Level 4+: Degree (for example BA, BSc), foundation degree, HND, HNC, NVQ Level 4-5, professional qualifications (for example teaching, nursing), or equivalent qualifications.
• Other: Any other qualifications, equivalent unknown.

Quality assurance report can be found here

1. Provides public access to real-time instantatenous water level collected at over 1800 active locations in Canada. These data are collected under a national program jointly administered under federal-provincial and federal-territorial cost-sharing agreements; 2. Provides public access to archived daily water level for stations of interest using search criteria. These data include: daily and monthly mean, max and min of water levels. For some sites, annual peaks and extremes are also recorded. Archived water level data are disseminated online; 3. Provides public access to a MS Access database file containing archived daily water level that users can download to their desktop. These data include: daily and monthly mean, max and min of water level. For some sites, annual peaks and extremes are also recorded. MS Access file is updated quarterly; 4. Provides public access to water level statistics for stations of interest using search criteria.

Motivation

League of Legends is a 5 v. 5 multiplayer online battle arena (MOBA) game developed by Riot Games. They collect data to evaluate the effect of every champion, adjusting and fine-tuning various aspects associated with each champion, to ensure fair and competitive gameplay. Through updates (patches) they can reduce the power of champions that are too strong (known as nerfing) or enhance the abilities of less successful champions (nerfing).

Data

Each row is one of the 162 League of Legends champions. The two datasets show play results (e.g. win rates) for two consecutive patches of the game (12.22 and 12.23).

Variable Description

• Name Name of the champion
• Role Role of the champion in a game
• KDA Average kills, deaths and assists associated with each champion
• WRate Win rates of each champion
• PickRate SPick rates of each champion
• RolePerc Percent of time the champion is used in the expected role
• BanPerc Ban percentages associated with each champion

Questions

• Look for outliers (e.g. in win rate) for the 12.22 patch to identify champions that might need to be buffed or nerfed.
• Look at results for the 12.23 patch to see if outliers identified from 12.22 might have been adjusted of if any different champions are now outliers.

References

Lol champion stats, 12.22 master, win rates. METAsrc. (n.d.). https://www.metasrc.com/5v5/12.22/stats?ranks=master

Lol champion stats, 12.23 master, win rates. METAsrc. (n.d.-b). https://www.metasrc.com/5v5/12.23/stats?ranks=master

Acknowledgement

Foto von Brian Lee auf Unsplash

This chart provides a detailed overview of the number of Montserrat online retailers by Monthly Product Sold. Most Montserrat stores' Monthly Product Sold are Less than 100, there are 3 stores, which is 75.00% of total. In second place, 1 stores' Monthly Product Sold are 100 to 1K, which is 25.00% of total. Meanwhile, 0 stores' Monthly Product Sold are 1K to 10K, which is <0.01% of total. This breakdown reveals insights into Montserrat stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

Table View of Master_OP_EXP - Budgets and Actuals from FY 2016, 2017, 2018, 2019, and FYTD 2020. This View is the data source for Expense Dashboards. Update Schedule: Once per Month.

Detailed online statistics for player Master Santos Lemos from world Astera. View daily activity and session history.