Bachelors in Data Science Programs in the USA: Top 20

20 of the 418 Bachelor's Data Science programmes educads records in the USA, one from each of 20 universities, with the facts we hold for each one.

How this list is ordered: Ordered by each university's QS World University Rankings position where it has one, then by research citations recorded by OpenAlex; one programme per university, and universities with neither measure are left out.

1 Statistics & Data Science

Carnegie Mellon University

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#65
Research citations17,727,847

The Statistics & Data Science Bachelor of Science builds skills in the interpretation and display of complex data, computing, statistical theory, and mathematics. Students can choose between Statistics and Data Science (Mathematical Sciences Track), Statistics and Data Science (Neurosciences Track), Statistics and Machine Learning, and Economics and Statistics, each combining statistical methods with an additional focus such as foundational mathematics, neural computation, machine learning, or advanced data analysis and forecasting for economic systems.The Statistics and Data Science degree includes a customizable concentration to tailor a curriculum to student interests. The Economics and Statistics option is described as a rigorous joint curriculum that teaches students to synthesize data and predict market trends. Graduates are described as equipped for roles that include finance, economics, and public policy, and the program highlights work on real-world challenges using statistical tools. Statistics and Data Science (Mathematical Sciences Track)Statistics and Data Science (Neurosciences Track)Statistics and Machine LearningEconomics and StatisticsStatistics and Data Science

Entry requirements, as the university states them

1 year Science (2 or more preferred)
**Three years of mathematics should include at least algebra, geometry, trigonometry, analytic geometry, elementary functions as well as pre-calculus. Advanced mathematics courses are encouraged.

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2 Data Science

University of Washington

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#81
Research citations98,886,732

The Bachelor's Degree in Data Science at the University of Washington equips students with the critical skills necessary to navigate the growing field of data analytics and interpretation. Throughout the course, students engage with foundational concepts such as statistical analysis, machine learning, and data visualization, providing a well-rounded understanding of how to extract meaningful insights from large datasets. By working on real-world projects and utilizing cutting-edge technologies, students prepare themselves for the demands of a data-driven job market. This program is structured to blend theoretical knowledge with practical application. Core coursework covers programming languages like Python and R, as well as major data tools and databases. Additionally, students have the opportunity to specialize in areas such as artificial intelligence, big data technologies, and predictive modeling, fostering a diverse skill set that can be adapted to various industries. Studying at the University of Washington offers students unparalleled access to a rich resource of academic and industry connections. Located in a vibrant tech hub, students can benefit from internships and collaborative projects with leading companies in the field.

Entry requirements, as the university states them

A solid foundation in statistics and computer science.
Strong analytical and problem-solving skills.
Relevant coursework or experience in data analysis or programming may be beneficial.
IELTS: A minimum overall band score of 6.5, with no individual score below 6.0.
TOEFL: A minimum score of 90 on the internet-based test, with a minimum of 20 in each section.

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3 Data Science

Rice University

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#119
Research citations10,963,903

The Bachelor's Degree in Data Science at Rice University provides students with a comprehensive understanding of data analysis and statistical methods, equipping them with the skills needed to extract meaningful insights from complex datasets. Throughout the course, students will learn about various data science techniques, including machine learning, data visualization, and programming in languages such as Python and R. The curriculum is designed to integrate theoretical knowledge with practical applications, allowing students to engage in hands-on projects that reflect real-world scenarios.Students can expect to cover a wide array of subjects, from foundational mathematics and statistics to advanced topics like big data technologies and artificial intelligence. The program emphasizes interdisciplinary learning, often collaborating with fields such as computer science, engineering, and social sciences. This approach not only broadens students' perspectives but also enhances their problem-solving capabilities in diverse contexts.By studying at Rice University, located in Houston, Texas, students have access to a vibrant tech ecosystem and numerous industry partnerships. This proximity to leading companies provides students with networking opportunities, internships, and job placements.

From the programme record

Machine Learning Engineer
Business Intelligence Analyst

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4 Data Analytics

Ohio State University - Columbus

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#190
Research citations30,354,807

The Bachelor's Degree in Data Analytics at Ohio State University - Columbus is an interdisciplinary program designed to equip students with the necessary skills to analyze and interpret complex data sets. This degree program encompasses a comprehensive curriculum that covers statistical methods, programming, data visualization, and data management. Students will learn how to leverage data-driven decision-making processes in various sectors, such as business, healthcare, education, and government. The typical structure of the program includes foundational courses in mathematics and statistics, followed by specialized courses in data analysis techniques and tools like R, Python, and SQL. Students will engage in hands-on projects and case studies, giving them practical experience in real-world data analytics scenarios. Additionally, the program offers opportunities for internships, allowing students to work with industry professionals and gain valuable insights into the field. Studying Data Analytics in the United States provides students with exposure to cutting-edge technology and methodologies. Ohio State University is known for its innovative research and diverse academic environment, allowing students from various backgrounds to collaborate and share ideas.

From the programme record

Business Intelligence Analyst

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5 Data Analytics

Ohio State University-Main Campus

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#190
Research citations30,354,807

The Bachelor’s Degree in Data Analytics at Ohio State University-Main Campus is designed to equip students with the necessary skills and knowledge to analyze complex data sets and make informed decisions based on their findings. The curriculum covers a range of topics including statistics, programming, data management, and data visualization. Students will engage in hands-on learning experiences that simulate real-world applications, ensuring that they are prepared for various career paths in this dynamic field.Throughout the program, students will learn how to utilize various analytical tools and techniques to glean insights from data. They will develop proficiency in programming languages such as Python and R, which are essential in the realm of data analysis. Additionally, coursework includes training in database management systems and statistical software, allowing students to manage large volumes of data effectively.One of the unique aspects of studying Data Analytics at Ohio State University-Main Campus is the opportunity to collaborate with industry professionals and work on actual data analytics projects. This experiential learning fosters a practical understanding of data analytics' impact across different industries.

From the programme record

Business Intelligence Analyst
Consultant in Data-Driven Strategies

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6 Statistics and Data Science

University of Minnesota - Morris

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#203
Research citations44,929,596

The Bachelor's Degree in Statistics and Data Science at the University of Minnesota - Morris provides students with a solid foundation in statistical theory and practical data analysis techniques. The curriculum combines rigorous mathematical and statistical principles with hands-on experience in data management, statistical computing, and predictive modeling. Students are introduced to various programming languages and software tools essential for data analysis, including R and Python, enabling them to handle real-world data challenges efficiently.This program emphasizes a project-based learning approach, allowing students to apply their knowledge in real-world contexts, enhancing their analytical skills and problem-solving abilities. The course structure typically includes core courses in statistical methods, probability theory, and data visualization, alongside elective modules that cater to specific interests such as machine learning or biostatistics. Students will also engage in group projects and internships that further develop their practical skills.Studying Statistics and Data Science in the vibrant academic environment of Minnesota offers unique opportunities to work with diverse datasets and collaborate with industry professionals.

From the programme record

Machine Learning Engineer
Business Intelligence Analyst

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7 Data Science

University of Minnesota-Twin Cities

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#203
Research citations44,929,596

The Bachelor's Degree in Data Science at the University of Minnesota-Twin Cities is designed to equip students with the essential skills and knowledge needed to thrive in today’s data-driven world. This multidisciplinary program draws from computer science, mathematics, and statistics, ensuring that students receive a well-rounded education that prepares them for various careers in data science. The curriculum covers critical areas such as data mining, statistical analysis, machine learning, and big data technologies, providing students with a comprehensive foundation in both theory and practical applications. Students can expect a blend of theoretical learning and hands-on projects, which is pivotal for building real-world skills. The program typically includes a mix of lectures, laboratory work, and collaborative projects that encourage teamwork and innovative problem-solving. By engaging with cutting-edge technologies and methodologies, students will gain proficiency in programming languages such as Python and R, as well as tools for data visualization and exploratory analysis. Studying Data Science at the University of Minnesota-Twin Cities offers unique advantages, including access to a vibrant tech community and opportunities for internships in a city known for its strong tech sector.

From the programme record

Machine Learning Engineer
Business Intelligence Analyst

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8 Data Science

Vanderbilt University

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#250
Research citations20,118,894

The Bachelor's degree in Data Science at Vanderbilt University equips students with essential skills in data analysis, statistical modeling, and programming. This multidisciplinary program integrates computer science, mathematics, and domain-specific knowledge, allowing students to develop robust data-driven solutions across various sectors. Throughout their studies, students engage in hands-on projects that reinforce theoretical knowledge, preparing them for real-world applications. Typical course structure includes foundational topics such as data visualization, machine learning, and database management. Students will also explore advanced topics, including big data analytics and artificial intelligence. The program emphasizes teamwork, critical thinking, and effective communication, ensuring that graduates can convey complex data insights clearly and efficiently.Studying Data Science in the United States offers a unique advantage, with its thriving tech ecosystem and emphasis on innovation. Students benefit from exposure to industry leaders, networking opportunities, and a robust support system that encourages exploration and creativity in data science.

From the programme record

Business Intelligence Analyst
Machine Learning Engineer
Research Scientist in Data-Driven Fields

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9 Data Analytics

University of Virginia, Charlottesville

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#275
Research citations17,999,711

The Bachelor's Degree in Data Analytics at the University of Virginia prepares students with the skills needed to navigate the vast and ever-evolving field of data. This program covers various essential topics including data mining, statistical analysis, machine learning, and data visualization. Students will engage in practical projects that enhance their understanding of how to collect, analyze, and interpret complex datasets. The course typically follows a structured timeline, beginning with foundational courses that establish basic principles and methodologies. As students progress, they delve deeper into specialized subjects and take on collaborative projects aimed at solving real-world problems. This hands-on approach not only enhances learning but also equips students with the necessary skills to thrive in a competitive job market. In addition to technical skills, students will develop critical thinking and problem-solving abilities that are invaluable in any industry. By studying Data Analytics in the United States, students benefit not only from an advanced curriculum but also from access to cutting-edge technology and industry connections.

From the programme record

Business Intelligence Analyst
Consultant in Data-Driven Decision Making

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10 Environmental Data Science

DeliveryOn campus
Study modeFull time
QS World 2025#389
Research citations11,087,904

Environmental Data Science at Virginia Tech prepares students to work with complex environmental problems such as climate change, water quality and availability, human health, forest management, and conservation using large-scale data. Students develop analytical, decision-making, and data modeling skills, with an emphasis on translating complex data into usable facts and figures. Students take core courses in forest science, geospatial analysis, environmental economics, and natural resources policy. They also complete additional computation courses in business analytics and database technology, remote sensing, systems development, programming, forest photogrammetry, data science, and statistics. The program awards a Bachelor of Science. forest sciencegeospatial analysisenvironmental economicsnatural resources policybusiness analytics and database technologyremote sensingsystems developmentprogrammingforest photogrammetrydata sciencestatistics

From the programme record

Ecological forecasting specialist
Ecosystems services consultant
Environmental data scientist
Machine-learning engineer

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11 Data Science

Colorado State University-Fort Collins

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#442
Research citations10,163,291

The Data Science major at Colorado State University-Fort Collins is a Bachelor of Science degree. CSU describes it as an interdisciplinary program with foundations in computer science, statistics, communications, and mathematics, focused on analyzing large sets of data to answer questions and solve problems.Students complete the degree on campus. The major includes concentrations that let students specialize within data science, with hands-on experiences and depth of information. Concentrations listed include Computer Science, Bioinformatics, Economics, General Data Science, Mathematics, Neuroscience, and Statistics.

From the programme record

Business Intelligence Manager
Data Mining or Big Data Engineer
Machine Learning Engineer
Data Visualization Specialist

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12 Data Science

State University of New York at Stony Brook

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2026#452
Research citations14,298,244

The Bachelor of Science in Data Science at Stony Brook University provides students with a comprehensive understanding of data analytics, statistical modeling, and machine learning techniques. This program is structured to integrate theoretical knowledge with practical skills, allowing students to work with large datasets and extract meaningful insights applicable to a variety of fields.Throughout the course, students will cover essential topics such as data visualization, programming in languages like Python and R, database management, and big data technologies. The curriculum emphasizes hands-on projects that allow students to apply their knowledge to real-world problems, fostering an environment where they can develop critical thinking and problem-solving skills.Studying Data Science in the United States offers unique advantages, including access to cutting-edge technology, a vibrant tech ecosystem, and exposure to diverse industries that are increasingly reliant on data-driven decision-making. Stony Brook's location near New York City provides additional opportunities for networking and internships in one of the world's leading tech hubs.

From the programme record

Machine Learning Engineer
Business Intelligence Analyst

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13 Bachelor of Science in Data Analytics

Washington State University at Vancouver

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#466
Research citations7,838,804

The Bachelor of Science in Data Analytics at Washington State University Vancouver is designed to equip students with essential skills to analyze and interpret complex data sets. This program integrates mathematics, statistics, and computer science with a strong emphasis on practical applications in various industries. Students will learn how to utilize data visualization tools, statistical software, and programming languages to derive insights from data.The curriculum typically covers foundational subjects such as introductory statistics, programming for data analysis, data visualization, and data mining. Moreover, students will engage in hands-on projects and case studies that simulate real-world data analytics challenges. This experiential learning approach ensures that graduates are not only proficient in theoretical concepts but also capable of applying their knowledge to solve practical problems.Gaining skills in data ethics, machine learning, and data governance, students will be prepared for the growing demand for data analytics professionals. The vibrant tech and business sectors in the U.S., particularly in Washington, provide an excellent backdrop for students to immerse themselves in an impactful learning environment. This exposure enhances their academic experience and career prospects in today's data-driven world.

From the programme record

Business Intelligence Analyst
Operations Research Analyst

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14 Data Science

University of Hawaii at Hilo

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#488
Research citations5,966,195

The Bachelor's degree in Data Science at the University of Hawaii at Hilo provides an interdisciplinary education that combines mathematics, computer science, and domain knowledge to analyze and interpret complex data sets. The program is designed to equip students with the essential skills needed to extract insights from data, using statistical analysis and machine learning techniques. Throughout the course, students will engage in hands-on projects and collaborative learning, which allows for practical application of theoretical concepts. The curriculum includes courses in programming, data mining, data visualization, and big data technologies. Additionally, students have opportunities to participate in research and internships, which further enrich their learning experience. Studying Data Science in Hawaii provides a unique cultural experience, surrounded by lush landscapes and a diverse community. The university's focus on experiential learning, along with its strong faculty support, ensures that students are well-prepared for the competitive job market.

From the programme record

Business Intelligence Analyst
Machine Learning Engineer

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15 Data Science

Missouri University of Science and Technology

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
QS World 2025#527
Research citations1,948,358

The Bachelor’s Degree in Data Science at Missouri University of Science and Technology prepares students for an exciting career in data-driven decision-making. The course covers essential topics including statistics, programming, machine learning, and data visualization. Through rigorous curriculum and hands-on projects, students develop a comprehensive understanding of data analysis, predictive modeling, and their applications across various industries. The program structure is designed to ensure a well-rounded education, starting with foundational courses in mathematics and programming, followed by specialized coursework in data mining, big data management, and artificial intelligence. Students also engage in practical experiences through internships and capstone projects, enhancing their skills and understanding of real-world data challenges. Studying Data Science in the United States allows international students to immerse themselves in a diverse cultural environment alongside peers from around the world. The exposure to various industries and networking opportunities helps students build professional connections that can be beneficial for future employment.

From the programme record

Business Intelligence Analyst
Machine Learning Engineer

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16 Data Science

Northwestern University

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
Research citations36,668,431

The Bachelor's Degree in Data Science at Northwestern University is designed to equip students with the skills and knowledge to thrive in the rapidly evolving field of data analytics. This comprehensive program covers a range of topics including statistical analysis, machine learning, data visualization, and big data management. Students will engage with practical applications through hands-on projects and internships, allowing them to apply theoretical concepts to real-world scenarios.Throughout the course, students will learn how to communicate data-driven insights effectively using various tools and technologies. The curriculum is structured to blend technical skills in programming languages like Python and R with a strong emphasis on ethical considerations surrounding data use. With expert faculty guiding them, students will cultivate critical thinking and problem-solving skills vital for success in this dynamic discipline.Studying in the United States allows international students to immerse themselves in a diverse cultural environment while accessing cutting-edge research and technology. Northwestern University, located in the vibrant city of Chicago, offers unique networking opportunities and exposure to industries that increasingly rely on data science for decision-making and innovation.

From the programme record

Machine Learning Engineer
Business Intelligence Developer

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17 Data Science, Arts and Science

University of Missouri

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
Research citations9,249,078

The Bachelor's Degree in Data Science, Arts and Science at the University of Missouri offers a comprehensive curriculum designed to equip students with the skills necessary to tackle complex data challenges. This program combines interdisciplinary knowledge from computer science, mathematics, and statistics, alongside a strong foundation in the arts and sciences. Students will delve into topics such as data mining, machine learning, statistical analysis, and data visualization, allowing them to transform raw data into meaningful insights.The course is structured to provide both theoretical knowledge and practical experiences. Students will have the opportunity to engage in hands-on projects, collaborative research, and internships that connect them with industry professionals. With a focus on real-world applications, this degree prepares students to be adaptive and forward-thinking in various data-driven environments.By studying in the United States, particularly at the University of Missouri, students immerse themselves in a rich academic culture that encourages innovation and critical thinking. The program is strengthened by access to cutting-edge technologies and resources in a vibrant university community, making it an attractive choice for international students seeking a well-rounded education in data science.

From the programme record

Business Intelligence Analyst
Machine Learning Engineer

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18 Data Science, Arts and Science

University of Missouri-Columbia

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
Research citations9,249,078

The Bachelor of Science in Data Science at the University of Missouri-Columbia offers a comprehensive curriculum that merges the fields of arts and sciences. This program covers the vital aspects of data collection, analysis, and interpretation, equipping students with the knowledge required to transform raw data into actionable insights. Students engage with a combination of computer science, statistics, and domain-specific knowledge, which are essential in navigating the complexities of data within various sectors.The typical structure of the program includes core courses in programming, machine learning, data mining, and data visualization, supplemented by electives that allow for specialized focus areas. This allows students to tailor their education according to their interests while ensuring a robust foundational skill set. Moreover, practical experience is emphasized through projects and collaborations that prepare students for real-world applications.Skills gained in this program encompass analytical thinking, problem-solving, and technical proficiency in various data science tools and software. Studying data science in the United States offers international students exposure to advanced technology and methodologies, as well as networking opportunities within a diverse workforce that primes them for successful careers in the global job market.

From the programme record

Business Intelligence Analyst
Machine Learning Engineer

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19 Data science

University of Oregon

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
Research citations7,821,155

The Bachelor's Degree in Data Science at the University of Oregon provides a comprehensive foundation in the principles and practices of data analysis, statistical modeling, and machine learning. Students will explore various data types and learn to apply advanced computational techniques to extract meaningful insights from datasets. The course covers core subjects such as programming, database management, data visualization, and ethical implications of data use, ensuring graduates are well-prepared for the demands of modern data-centric industries.This program is structured to include a combination of theoretical knowledge and practical experience. Students will engage in collaborative projects, internships, and hands-on learning opportunities that foster critical thinking and problem-solving skills. The curriculum emphasizes real-world applications, encouraging students to tackle real-life data challenges, making it an appealing choice for those looking to impact field-specific areas, such as healthcare, finance, and technology.Studying Data Science in the United States provides unique advantages, including access to cutting-edge research, diverse professional networks, and exposure to innovative technologies.

From the programme record

Machine Learning Engineer
Business Intelligence Analyst

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20 Applied AI and Data Analytics

West Virginia University

DeliveryOn campus
Study modeFull time
Duration4 years
StartsFall, Spring
Research citations5,305,733

The Bachelor's Degree in Applied AI and Data Analytics at West Virginia University provides students with a comprehensive understanding of artificial intelligence and data science applications. The curriculum is structured to blend theoretical knowledge with practical skills, preparing students for the rapidly evolving tech landscape. Key topics include machine learning, statistical analysis, data visualization, and ethical considerations in AI.Students will engage in hands-on projects and utilize advanced tools and software used in the industry. This program emphasizes problem-solving, critical thinking, and analytical skills, which are essential in harnessing the power of data for strategic decision-making. The course is designed to equip students with both the technical skills and the industry insight needed to thrive in various sectors.Studying Applied AI and Data Analytics at West Virginia University allows students to immerse themselves in a vibrant academic environment, enriched by research opportunities and access to cutting-edge technology. The university's location in the United States provides exposure to a dynamic job market and a diverse tech community, enhancing job prospects post-graduation.

From the programme record

Machine Learning Engineer
Business Intelligence Developer

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