This statistic shows the program outcome data for online education providers that were the most requested by students in the United States in 2016. In 2016, ** percent of schools reported that students asked for placement and employment rates.
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This dataset provides comprehensive information about various Data Science and Analytics master's programs offered in the United States. It includes details such as the program name, university name, annual tuition fees, program duration, location of the university, and additional information about the programs.
Column Descriptions:
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 tuition fees for the program, usually given 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 for 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).
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Like other sub-sectors in the education app market, skills and online training courses experienced significant growth at the beginning of the coronavirus pandemic, as many people lost jobs or were...
Online and Distance Education at Postsecondary Institutions, 2006-07 (PEQIS 16), is a study that is part of the Postsecondary Education Quick Information System (PEQIS) program; program data is available since 1997 at . PEQIS 16 (https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2009044) is a survey that collects data on the prevalence and delivery of distance education courses in the 2006-07 12-month academic year, including the number of courses and enrollment for online courses, hybrid/blended online courses, and all other distance education courses. The survey also collects information about numbers of degree or certificate programs designed to be completed entirely through distance education and the technologies used for the instructional delivery of credit-granting distance education courses. The study was conducted using paper and web surveys. The weighted response rate was 87 percent. Postsecondary institutions were sample for this study. Key statistics produced from PEQIS 16 relate to information on the prevalence, types, delivery, policies, and acquisition or development of distance education courses and programs.
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The online higher education market is experiencing robust growth, fueled by increasing accessibility, affordability demands, and technological advancements. The market's Compound Annual Growth Rate (CAGR) of 19.82% from 2019 to 2024 suggests a significant expansion, likely driven by factors such as the rising adoption of online learning platforms, flexible learning options catering to working professionals and geographically dispersed students, and the increasing recognition of online degrees by employers. The market segmentation, encompassing diverse types of online programs (e.g., bachelor's, master's, certificate programs) and applications across various fields (e.g., business, technology, healthcare), contributes to its broad appeal and expansion. Major players like American Public Education, Adtalem Global Education, and others are deploying competitive strategies focused on enhancing the learning experience, improving student support services, and expanding their program offerings to maintain a competitive edge. The geographic distribution indicates strong growth across North America and Asia-Pacific, driven by higher internet penetration and a growing young population seeking educational opportunities. However, challenges remain, including concerns about the perceived quality of online education compared to traditional institutions, the digital divide limiting access for certain demographics, and the need for continuous investment in technology and curriculum development to meet evolving learner needs. Looking ahead to 2033, the online higher education market is projected to maintain significant momentum, further expanding its reach and influence. Continued technological innovation, including advancements in virtual reality and artificial intelligence, will enhance the learning experience and attract a broader range of students. The growing importance of lifelong learning and upskilling will also drive demand for online courses and degree programs. Competitive pressures will likely lead to further innovation in pricing models, program offerings, and marketing strategies, fostering a dynamic and evolving market landscape. To fully capitalize on this growth, educational institutions must prioritize creating engaging and effective online learning environments, addressing concerns around quality and accessibility, and adapting to the ever-changing needs of students in a globally competitive market.
This statistic shows the distribution of target populations of online education programs in the United States in 2019. In 2019, ** percent of respondents stated that their online education programs were aimed at adult students returning to school after an absence.
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In many undergraduate statistics programs, the two-semester calculus-based mathematical statistics sequence is the cornerstone of the curriculum. However, 10 years after the release of the Guidelines for the Assessment and Instruction in Statistics Education (GAISE) College Report, 2005, and the subsequent movement to stress conceptual understanding and foster active learning in statistics classrooms, the sequence still remains a traditional, lecture-intensive course. In this article, we discuss various instructional approaches, activities, and assessments that can be used to foster active learning and emphasize conceptual understanding while still covering the necessary theoretical content students need to be successful in subsequent statistics or actuarial science courses. In addition, we share student reflections on these course enhancements. The course revision we suggest doesn’t require substantial changes in content, so other mathematical statistics instructors can implement these strategies without sacrificing concepts in probability and inference that are fundamental to the needs of their students. Supplementary materials, including code used to generate class plots and activity handouts, are available online. Received December 2014. Revised June 2015.
In 2023, the most common advice offered by alumni of online higher education programs in the United States, suggested by ** percent of alumni, was to do more research about cost and financial aid. A further ** percent of alumni of online programs said to compare more programs when researching schools.
Online Data Science Training Programs Market Size 2025-2029
The online data science training programs market size is forecast to increase by USD 8.67 billion, at a CAGR of 35.8% between 2024 and 2029.
The market is experiencing significant growth due to the increasing demand for data science professionals in various industries. The job market offers lucrative opportunities for individuals with data science skills, making online training programs an attractive option for those seeking to upskill or reskill. Another key driver in the market is the adoption of microlearning and gamification techniques in data science training. These approaches make learning more engaging and accessible, allowing individuals to acquire new skills at their own pace. Furthermore, the availability of open-source learning materials has democratized access to data science education, enabling a larger pool of learners to enter the field. However, the market also faces challenges, including the need for continuous updates to keep up with the rapidly evolving data science landscape and the lack of standardization in online training programs, which can make it difficult for employers to assess the quality of graduates. Companies seeking to capitalize on market opportunities should focus on offering up-to-date, high-quality training programs that incorporate microlearning and gamification techniques, while also addressing the challenges of continuous updates and standardization. By doing so, they can differentiate themselves in a competitive market and meet the evolving needs of learners and employers alike.
What will be the Size of the Online Data Science Training Programs Market during the forecast period?
Request Free SampleThe online data science training market continues to evolve, driven by the increasing demand for data-driven insights and innovations across various sectors. Data science applications, from computer vision and deep learning to natural language processing and predictive analytics, are revolutionizing industries and transforming business operations. Industry case studies showcase the impact of data science in action, with big data and machine learning driving advancements in healthcare, finance, and retail. Virtual labs enable learners to gain hands-on experience, while data scientist salaries remain competitive and attractive. Cloud computing and data science platforms facilitate interactive learning and collaborative research, fostering a vibrant data science community. Data privacy and security concerns are addressed through advanced data governance and ethical frameworks. Data science libraries, such as TensorFlow and Scikit-Learn, streamline the development process, while data storytelling tools help communicate complex insights effectively. Data mining and predictive analytics enable organizations to uncover hidden trends and patterns, driving innovation and growth. The future of data science is bright, with ongoing research and development in areas like data ethics, data governance, and artificial intelligence. Data science conferences and education programs provide opportunities for professionals to expand their knowledge and expertise, ensuring they remain at the forefront of this dynamic field.
How is this Online Data Science Training Programs Industry segmented?
The online data science training programs industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeProfessional degree coursesCertification coursesApplicationStudentsWorking professionalsLanguageR programmingPythonBig MLSASOthersMethodLive streamingRecordedProgram TypeBootcampsCertificatesDegree ProgramsGeographyNorth AmericaUSMexicoEuropeFranceGermanyItalyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)
By Type Insights
The professional degree courses segment is estimated to witness significant growth during the forecast period.The market encompasses various segments catering to diverse learning needs. The professional degree course segment holds a significant position, offering comprehensive and in-depth training in data science. This segment's curriculum covers essential aspects such as statistical analysis, machine learning, data visualization, and data engineering. Delivered by industry professionals and academic experts, these courses ensure a high-quality education experience. Interactive learning environments, including live lectures, webinars, and group discussions, foster a collaborative and engaging experience. Data science applications, including deep learning, computer vision, and natural language processing, are integral to the market's growth. Data analysis, a crucial application, is gaining traction due to the increasing demand for data-driven decisio
In 2024, around ** percent of internet users surveyed in Brazil said they had used the internet to do online courses. It is the third highest value registered so far, only down from ** percent in 2021 and ** percent in 2023. Online study and education is one of the main reasons for **** percent of internet users in Brazil to access web, thus being one of the most popular video content types consumed in the country.
Online college courses are a rapidly expanding feature of higher education, yet little research identifies their effects relative to traditional in-person classes. Using an instrumental variables approach, we find that taking a course online, instead of in-person, reduces student success and progress in college. Grades are lower both for the course taken online and in future courses. Students are less likely to remain enrolled at the university. These estimates are local average treatment effects for students with access to both online and in-person options; for other students, online classes may be the only option for accessing college-level courses.
During a survey conducted in Spring 2023 in the United States, the most popular factor for choosing online education was the affordability of the program, with ** percent of respondents reporting this as one of their top three reasons. The second most popular factor was the reputation of the school or program.
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BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 3.05(USD Billion) |
MARKET SIZE 2024 | 3.48(USD Billion) |
MARKET SIZE 2032 | 10.0(USD Billion) |
SEGMENTS COVERED | Course Type, Delivery Mode, Target Audience, Subject Focus, Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | increasing demand for data skills, growth of remote learning, advancements in AI technologies, rising corporate training investments, diverse learning resources availability |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Microsoft, FutureLearn, Pluralsight, IBM, edX, Springboard, Kaggle, Codecademy, Harvard University, Udacity, Simplilearn, Skillshare, DataCamp, Coursera, LinkedIn Learning |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Increased demand for data skills, Growth of remote learning platforms, Corporate training partnerships, Expanding global internet access, Customizable learning experiences |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 14.1% (2025 - 2032) |
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Historical Dataset of Kansas Online Learning Program is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2022-2023),Distribution of Students By Grade Trends,American Indian Student Percentage Comparison Over Years (2022-2023),Asian Student Percentage Comparison Over Years (2022-2023),Hispanic Student Percentage Comparison Over Years (2022-2023),Black Student Percentage Comparison Over Years (2022-2023),White Student Percentage Comparison Over Years (2022-2023),Diversity Score Comparison Over Years (2022-2023),Math Proficiency Comparison Over Years (2022-2023),Overall School Rank Trends Over Years (2022-2023),Graduation Rate Comparison Over Years (2022-2023)
The online higher education market share in the US is expected to increase by USD 33.35 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 19.82%.
This online higher education market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers online higher education market in the US segmentation by subjects (commerce and management, STEM, Arts, and others) and courses (non-degree courses and degree courses). The online higher education market in the US report also offers information on several market vendors, including American Public Education Inc., Adtalem Global Education Inc., Apollo Education Group Inc., Graham Holdings Co., Grand Canyon Education Inc., ITT Educational Services Inc., LINCOLN EDUCATIONAL SERVICES Corp., Perdoceo Education Corp., Strategic Education Inc., and Zovio Inc. among others.
What will the Online Higher Education Market Size in the US be During the Forecast Period?
Download the Free Report Sample to Unlock the Online Higher Education Market Size in the US for the Forecast Period and Other Important Statistics
Online Higher Education Market in the US: Key Drivers, Trends, and Challenges
The collaborations between enterprises and educational institutions is notably driving the online higher education market growth in the US, although factors such as designing e-learning courses may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online higher education industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.
Key Online Higher Education Market Driver in the US
The collaborations between enterprises and educational institutions is one of the key drivers supporting the online higher education market growth in the US. Although such collaborations can take numerous forms, the most common are training, partnerships, or R&D partnerships. For instance, IBM-Charlotte was designed by the University of North Carolina-Charlotte (UNC-Charlotte) and IBM with the aim of enhancing the university’s technical vitality, expanding its local personnel resource bank, and ultimately offering IBM's technical communicators a way of earning degrees in their field of work. For UNC-Charlotte, the relationship with IBM gave its developing Technical Communication program community support and visibility and simultaneously provided faculty with research opportunities and practical experience at the workplace. Such collaborations are driving the growth of the online higher education market in the US during the forecast period.
Key Online Higher Education Market Trend in the US
Increased use of wearable gadgets is another factor supporting the online higher education market growth in the US. Technologies such as augmented reality (AR) are also changing the learning experience of participants. 3D simulations and scenarios that are developed using wearable technology devices give users a chance to learn in different learning environments. Moreover, the theoretical explanation of various concepts and step-by-step training on operations in an organization, followed by familiarizing students with on-the-floor working environments, are time-consuming. Therefore, wearable technology devices can help universities or educational institutions to engage with students directly on the floor. This reduces the duration and makes students more comfortable with online learning. Thus, the affordable prices of wearable gadgets will foster their greater adoption, in turn fostering the growth of the online higher education market in the US
Key Online Higher Education Market Challenge in the US
Designing e-learning courses is one of the factors hindering the online higher education market growth in the US. A significant amount of time, money, and resources are needed for developing the content for online courses. On average, moderately interactive online content takes about 90-240 hours to develop and costs developers approximately $10,000 per produced hour for moderate-level content. Similarly, the cost keeps rising as the complexity of the content increases. The major factors impacting the cost incurred on creating online education content are the resources needed, the state of the source content, the elements embedded in the online content, and the interactivity and instructional complexities involved. Therefore, this is a challenging factor for the growth of the online higher education market in the US.
This online higher education market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market
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The online data science training programs market is experiencing explosive growth, projected to reach $1.90 billion in 2025 and exhibiting a robust Compound Annual Growth Rate (CAGR) of 34.73% from 2025 to 2033. This surge is driven by the escalating demand for data scientists across various industries, coupled with the accessibility and flexibility offered by online learning platforms. The increasing availability of high-quality online courses, encompassing both professional degree programs and specialized certifications, caters to a diverse learner base, ranging from career changers to experienced professionals seeking upskilling. North America, particularly the U.S. and Canada, currently holds a significant market share, fueled by a strong technological ecosystem and high adoption rates. However, the Asia-Pacific region (APAC), especially China and India, is poised for substantial growth, driven by a burgeoning tech sector and a large pool of young professionals. The market is highly competitive, with established players like Coursera, Udacity, and Udemy competing with specialized platforms like DataCamp and AnalytixLabs, as well as traditional universities offering online programs. This competitive landscape fosters innovation and ensures a diverse range of courses and pricing models, further contributing to market expansion. Continued growth is anticipated due to several factors. The increasing integration of data science into various sectors, from finance and healthcare to marketing and e-commerce, continuously necessitates skilled professionals. Furthermore, the ongoing advancements in artificial intelligence (AI) and machine learning (ML) are expanding the scope of data science applications, thereby increasing the demand for training programs that address these emerging technologies. While the market faces certain challenges, such as ensuring the quality and relevance of online courses and addressing the digital divide, the overall trajectory indicates a sustained period of growth, promising significant opportunities for both established and emerging players in the online data science education sector.
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Due to the COVID-19 pandemic, the presentation of public health data to lay audiences has increased without most people having the knowledge to understand what these statistics mean. Recognizing that minoritized populations are deeply impacted by the pandemic and wanting to improve the racial representation in biostatistics we developed a training program aimed at increasing the data literacy of high school and college students from minoritized groups. The program introduced the basics of public health, data literacy, statistical software, descriptive statistics, and data ethics. The instructors taught eight synchronous sessions consisting of lectures and experiential group exercises. Five of the sessions were also offered asynchronously. Of the 209 students, 76% were college students; 90% identified as Black, Asian, or Latino/a/x; and the average age was 21 years. In synchronous sessions, 56% of students attended all sessions. All course sessions were rated as good/excellent by most (≥70%) students. The program recruited, engaged, and retained a large cohort (N>100) of underrepresented students in biostatistics/data science for a virtual data literacy training. The program demonstrates the feasibility of developing and implementing public health training programs designed to increase racial and gender diversity in the field.
In 2024, about **** percent of all students who chose online degree programs in the United States said they did so because COVID-19 made it the only option available to them, a slight decrease from ** percent in the previous year. In both 2023 and 2024, however, the most commonly cited reason for students to choose online degree programs was due to existing commitments, such as work and family, preventing their attendance in campus-based courses.
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Historical Dataset of Miami-dade Online Academy- Virtual Instruction Program is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2011-2023),Distribution of Students By Grade Trends,Asian Student Percentage Comparison Over Years (2013-2023),Hispanic Student Percentage Comparison Over Years (2011-2023),Black Student Percentage Comparison Over Years (2011-2023),White Student Percentage Comparison Over Years (2011-2023),Two or More Races Student Percentage Comparison Over Years (2012-2023),Diversity Score Comparison Over Years (2011-2023),Free Lunch Eligibility Comparison Over Years (2011-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2011-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2023),Overall School Rank Trends Over Years (2010-2023),Graduation Rate Comparison Over Years (2013-2023)
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E-Learning Statistics: In today’s fast-moving digital world, e-learning has become a key tool for businesses and people who want to keep improving and growing. E-learning is convenient, easy to access, and flexible, making it a game-changer for traditional education. It’s now an essential resource for staying competitive and adaptable in various industries.
Before the global COVID-19 pandemic, online learning was already starting to show up in schools, from elementary through university, as well as in corporate training. Both students and teachers liked the flexibility it offered to everyone taking part in the lessons.
Don't worry; we've put together a list of important E-Learning Statistics for 2024, bringing together the most useful insights in one handy place.
This statistic shows the program outcome data for online education providers that were the most requested by students in the United States in 2016. In 2016, ** percent of schools reported that students asked for placement and employment rates.