Masters in Data Science Programs in the USA: Top 20

1 Applied Data Science and Decision Analytics

Brandeis University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations5,708,172

The Master's Degree in Applied Data Science and Decision Analytics at Brandeis University is designed to equip students with the knowledge and skills to utilize data in strategic decision-making processes. This course covers critical aspects of data analysis, machine learning, statistical modeling, and the ethical implications of data use. Students will engage with real-world datasets and learn to apply cutting-edge tools and technologies in various applications, enhancing their problem-solving capabilities.The program typically follows a structured curriculum that includes core courses in data analytics, programming, and data visualization, alongside electives that allow students to explore specialized areas of interest. Students will gain proficiency in programming languages such as Python and R, as well as analytical tools that are pivotal in the field of data science.Brandeis University's location in the United States offers international students a vibrant academic environment with access to a thriving tech industry and numerous networking opportunities. The curriculum is designed not only to provide theoretical knowledge but also to foster practical skills that are highly sought after in the job market. Studying in a diverse international setting enhances cross-cultural communication skills, essential for navigating global business environments.

From the programme record

• Machine Learning Engineer

Full programme details →

2 Data Science

CUNY Graduate School and University Center

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations4,302,690

The Master's Degree in Data Science at CUNY Graduate School and University Center empowers students with advanced knowledge and practical skills vital in today’s data-driven world. The program covers essential areas such as statistical analysis, machine learning, big data technologies, and data visualization. Students will engage with complex datasets, learning to extract insights and make data-informed decisions across various sectors.The structure of the curriculum is designed to provide a blend of theoretical grounding and project-based learning. Core courses equip students with foundational skills, while elective courses allow for specialization in areas such as artificial intelligence, data mining, and computational statistics. Hands-on projects and collaborations with industry partners enhance the learning experience, allowing students to apply their skills to real-world problems.Studying Data Science in this university's country offers unique advantages, including access to a vibrant tech ecosystem, diverse industries, and a rich pool of networking opportunities. International exposure and cultural diversity foster a collaborative environment, preparing graduates to work in global teams and adapt to varying market demands.

From the programme record

• Machine Learning Engineer
• Business Intelligence Developer
• Consultant in Data and Analytics

Full programme details →

3 Data Science and Business Analytics

Wayne State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations11,241,502

The Master’s Degree in Data Science and Business Analytics at Wayne State University prepares students for the rapidly evolving field of data analytics and management. This interdisciplinary program combines statistical analysis, computational modeling, and business strategy to equip students with the necessary tools to transform data into actionable insights. Students will engage with real-world data sets, mastering techniques for data collection, analysis, and visualization, thereby learning how to support decision-making in diverse business contexts.The course structure encompasses foundational topics such as data mining, predictive analytics, machine learning, and data visualization, along with essential business principles like strategic analysis and digital marketing. Throughout the program, students will develop proficiency in various data analysis tools and programming languages, including Python and R, while also gaining a solid understanding of business strategies and organizational behavior.One of the key advantages of studying this program at Wayne State University is its location in Detroit, a city known for its rich industrial history and emerging tech industry.

Entry requirements, as the university states them

• A bachelor’s degree from an accredited institution
• A strong academic background in mathematics, statistics, or a related field
• Recommended prerequisite coursework in programming or data science

Full programme details →

4 Biostatistics and Data Science

Medical College of Wisconsin

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations7,165,017

The Master's Degree in Biostatistics and Data Science at the Medical College of Wisconsin is designed to equip students with the essential skills required to analyze and interpret complex health data. The curriculum combines statistical theory, computational methods, and practical applications in the health sciences, providing a comprehensive understanding of biostatistical models and techniques. Students will explore diverse fields such as epidemiology, clinical trials, and public health, preparing them for significant contributions to healthcare research and policy. Throughout the program, candidates will engage in a variety of coursework that covers topics including advanced statistical methods, data mining, predictive modeling, and machine learning. The structure of the program typically includes core courses, elective options, and a capstone project, allowing students to apply their knowledge in real-world scenarios. This integrated approach not only enhances analytical capabilities but also fosters critical thinking and problem-solving skills. Studying biostatistics and data science in the United States offers international students a unique opportunity to learn in a country recognized for its advanced healthcare and research systems.

From the programme record

• Clinical Research Coordinator

Full programme details →

5 Data Science

University of Wisconsin - Milwaukee

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations5,168,113

The Master's Degree in Data Science at the University of Wisconsin-Milwaukee is designed to equip students with the crucial skills necessary to thrive in an increasingly data-driven world. The program covers foundational topics such as data mining, machine learning, statistical analysis, and data visualization, creating a comprehensive understanding of how to manipulate and interpret complex datasets effectively.Students will experience a blend of theoretical knowledge and practical application, with coursework structured around real-world scenarios and projects. The curriculum typically includes core modules that delve into the intricacies of programming languages such as Python and R, as well as coursework focused on big data technologies and predictive analytics.In addition to technical proficiency, this program emphasizes the importance of ethical considerations in data handling, preparing students to consider the social implications of their work. Opting to study at the University of Wisconsin-Milwaukee means being at the heart of a vibrant environment that fosters innovation and research, amidst a rich cultural landscape.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

6 MS in Data Science

Augusta University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,770,178

The MS in Data Science at Augusta University offers a comprehensive curriculum that combines theoretical knowledge and practical application in the field of data analytics, machine learning, and statistical methods. The program is designed to equip students with the skills needed to analyze large data sets and derive actionable insights that can significantly influence decision-making in various sectors.Students will engage in a variety of coursework that covers essential topics such as data mining, predictive modeling, programming languages (including Python and R), and big data technologies. The program emphasizes hands-on learning through projects and case studies, allowing students to apply what they have learned in a real-world context. Additionally, students will have opportunities to engage in research and collaborate with industry partners.Graduates of the MS in Data Science will possess a robust skill set including advanced analytical abilities, problem-solving skills, and proficiency in data management and visualization. By studying in this university's country, international students will benefit from a diverse and inclusive educational environment, gain exposure to cutting-edge technology and methodologies, and build valuable networks with professionals in the field.

From the programme record

• Machine Learning Engineer
• Business Intelligence Consultant

Full programme details →

7 Accounting and Data Science, M.I.S.

Georgia State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations3,544,874

The Master's in Accounting and Data Science at Georgia State University is designed to equip students with essential knowledge and skills that merge accounting principles with data analytics. The course covers a comprehensive curriculum that includes advanced financial reporting, data mining, statistical analysis, and machine learning techniques oriented towards accounting applications. By integrating these disciplines, students learn to interpret data effectively, make informed financial decisions, and support strategic business initiatives.This program is structured to enhance both theoretical understanding and practical application. Students will engage in case studies, collaborative projects, and internships that simulate real-world challenges faced in the accounting profession. The faculty comprises experts from academia and industry, providing students with insights into current practices and emerging trends in data-driven accounting.Skills gained through this master's program include data visualization, analytical reasoning, financial modeling, and proficiency in various accounting software and programming languages.

From the programme record

• Data Analyst in Accounting Firms
• Business Intelligence Analyst
• Accounting Information Systems Manager

Full programme details →

8 Master of Science degree in Data Science

Kent State University · Kent

• DeliveryOn campus
• Study modeFull time
• Starts1 year
• Research citations2,663,116

The Master of Science degree in Data Science provides a focus on developing scientists who will understand the theories, methods and tools of data science and apply data science to solving research and workplace questions in the natural, health and social sciences for businesses and industries.Data science is an emerging STEM discipline founded on the principles of mathematics and the sciences and developed through a synthesis of mathematics and computer science. One may think of data science as a blending together of methods and ideas from analysis, statistics, databases, big data, artificial intelligence, numerical analysis, graph theory and visualization for the purposes of finding information in data and applying that information to solving real-world problems.

Entry requirements, as the university states them

• Bachelor’s degree from an accredited college or university
• Minimum 3.000 undergraduate GPA (on a 4.000 point scale)
• Prerequisite mathematics and computer science courses1
• Two letters of recommendation
• Minimum 71 TOEFL IBT score (Internet-based version)

Full programme details →

9 Data Analytics (M.A.)

New Mexico State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations2,388,227

The M.A. in Data Analytics at New Mexico State University-Carlsbad provides a comprehensive curriculum designed to equip students with the necessary skills to thrive in the rapidly evolving field of data analysis. The course covers essential topics, including statistical analysis, data mining, predictive modeling, and data visualization, ensuring that students gain a robust foundation in both theoretical and practical aspects of data analytics.The program typically comprises core courses that delve into big data technologies, data management, and machine learning, complemented by elective courses that allow students to tailor their learning experience. Students engage in hands-on learning through practical projects, enabling them to apply their knowledge in real-world scenarios and sharpen their analytical capabilities.In addition to technical skills, the M.A. in Data Analytics emphasizes critical thinking, problem-solving, and effective communication strategies. These skills are crucial for interpreting complex data sets and conveying analytical insights to stakeholders in various industries. Studying this program in New Mexico offers a unique perspective, as students can connect with a diverse array of businesses and organizations that rely on data-driven decisions.

From the programme record

• Business Intelligence Analyst

Full programme details →

10 Data Science

University of Maryland, Baltimore County

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations2,246,824

The Master's degree in Data Science at the University of Maryland-Baltimore County equips students with the skills necessary to extract meaningful insights from vast amounts of data. This comprehensive program covers key areas such as statistical analysis, machine learning, data visualization, and big data technologies. Students engage in both theoretical knowledge and practical applications, enabling them to tackle real-world problems in a variety of settings. Throughout the course, students follow a structured curriculum that includes core modules in programming languages like Python and R, database management, and advanced statistical methods. In addition, elective courses allow for specialization in areas such as artificial intelligence and data mining. This flexibility empowers students to mold their educational journey according to their career aspirations. The program also emphasizes the importance of teamwork and communication skills through project-based learning. This prepares students not only to handle data independently but also to collaborate effectively with other professionals, fostering innovation and strategic thinking. As data continues to influence every sector, studying in the U.S., a global leader in technology and research, provides invaluable exposure to advanced practices and innovative developments.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

11 Data Analytics

State University of New York at Binghamton

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,953,102

The Master of Science in Data Analytics prepares students with analytical, quantitative, technical, and leadership skills for careers in data analysis across all sectors of the economy. The curriculum is highly quantitative and is positioned as a STEM degree through collaboration between Harpur College of Arts and Sciences, the School of Management, and the Thomas J. Watson College of Engineering and Applied Science. The 30-credit program focuses on core analytics fundamentals while also allowing flexibility to explore areas of interest. Learning is hands-on and includes real data problems provided by corporate and organizational partners. Students work independently and in teams, applying analytics and methods to business and nonbusiness problems.

Full programme details →

12 Data Science

Wright State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,483,197

The Master's in Data Science at Wright State University prepares students for a thriving career in the data-driven world. This comprehensive program covers essential aspects of data analysis, machine learning, statistical modeling, and big data technologies. Throughout the course, students will gain hands-on experience with various programming languages and tools, enabling them to analyze complex data sets and extract valuable insights.The program structure typically includes core courses that lay the foundation in data science principles, alongside electives that allow students to specialize in areas such as data visualization, artificial intelligence, and data mining. By encouraging collaboration and real-world problem solving, students are equipped not only with technical skills but also with critical thinking and teamwork capabilities.Studying in the United States, particularly at Wright State University, offers international students exposure to a diverse cultural environment, innovative educational practices, and unique networking opportunities with industry leaders. The university's location also provides ample opportunities for internships and practical experience in various sectors, enhancing students' employability in a competitive job market.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

13 Applied Data Science for Business

Portland State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,412,979

The Master's program in Applied Data Science for Business at Portland State University equips students with essential skills and knowledge to leverage data in making informed business decisions. The curriculum focuses on practical applications of data analysis, data management, and machine learning principles tailored to meet the demands of modern businesses. The cross-disciplinary nature of this program merges statistical methods, programming, and business analysis, providing students with a comprehensive understanding of data-driven decision-making. Students will engage in hands-on projects and case studies, working with real datasets to solve business challenges. Key areas of study include data visualization, predictive analytics, data mining, and the ethical implications of data use. By collaborating with faculty and industry professionals, students will gain insights into the latest trends and technologies shaping the data landscape. Studying in the United States, and particularly in Portland, offers unique opportunities to connect with a vibrant tech community known for its innovation and commitment to sustainability. The city's dynamic business environment, combined with a strong focus on research and development, makes it an ideal location for aspiring data scientists.

From the programme record

• Business Intelligence Analyst
• Machine Learning Engineer
• Operations Research Analyst

Full programme details →

14 Applied Statistics and Data Science (MS)

The University of Texas at Rio Grande Valley

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,350,877

The Master of Science in Applied Statistics and Data Science at The University of Texas Rio Grande Valley is a comprehensive program designed to equip students with the analytical skills and technical knowledge necessary to excel in the rapidly evolving field of data science. This program focuses on the application of statistical methodologies and data analysis techniques to solve real-world problems across various sectors. Students will dive deep into statistical theory, programming, and data management which enables them to handle complex datasets and derive actionable insights.The curriculum typically includes core subjects such as statistical modeling, data visualization, machine learning, and database management systems. There are also opportunities for hands-on experience through projects and internships, allowing students to apply theoretical concepts in practical environments. The program is structured to facilitate collaboration and communication skills through group projects, enhancing the learning experience.Studying in the United States, specifically at UTRGV, offers students exposure to cutting-edge research and practices in data science. The diverse cultural environment and strong industry connections make it an ideal place for international students to learn, network, and grow professionally.

From the programme record

• Business Intelligence Analyst
• Operations Research Analyst
• Machine Learning Engineer

Full programme details →

15 Applied Data Science

Howard University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,287,015

The Master's Degree in Applied Data Science at Howard University equips students with the essential skills and knowledge to analyze and interpret complex data sets. This program covers a broad range of topics including data analysis, machine learning, statistical modeling, and data visualization. Students engage in hands-on learning experiences and theoretical coursework that prepares them for real-world challenges.Throughout the course, students will work with various programming languages and tools such as Python, R, SQL, and Tableau. The curriculum promotes critical thinking and problem-solving skills, encouraging students to approach data-driven decision-making with a multidisciplinary mindset. Moreover, the program emphasizes ethical considerations and the impact of data on society, preparing students to become responsible data practitioners.Studying in the United States provides a unique opportunity due to its diverse technological landscape and its position as a global leader in innovation. Howard University, located in Washington D.C., allows students to draw on resources and networks from various industries including technology, healthcare, finance, and government. This proximity to federal institutions and influential organizations enhances the educational experience and career prospects for graduates.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

16 Data Science M.S.

University of North Dakota · North Dakota

• DeliveryOnline or on campus
• Study modeFull time
• Starts2 years
• Research citations1,249,894

Data scientists are in demand in several fields, and in different roles. Those with the technical expertise to be able to work effectively with data at scale is limited. Rapidly rising salaries for data engineers, data scientists, statisticians and data analysts reflect the shortage and increased interest in recruiting talent in this vital area.With the data science graduate program, you'll can become part of a highly-skilled workforce that will support the expansion of data science-related industries. This advanced curriculum is an ideal marriage of computer science, data science and business analytics for well-rounded expertise in one of the fastest growing areas in the realm of computing. You'll gain strong interdisciplinary knowledge, and a domain-specific, analytics foundation, as well as experience with leading research.

Full programme details →

17 Data Science

Bowling Green State University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations1,170,921

The Master's Degree in Data Science at Bowling Green State University equips students with the essential knowledge and skills to excel in the rapidly evolving field of data analytics. This program covers a multitude of topics including statistical analysis, machine learning, data mining, and data visualization, allowing students to become proficient in deriving meaningful insights from complex datasets. Throughout the course, students will engage in both theoretical learning and practical application. The curriculum is structured to include core courses as well as electives, providing students the opportunity to tailor their learning experience to their interests and career goals. Hands-on projects and case studies are integral components of coursework, ensuring that graduates are well-prepared for the demands of the industry. By studying in the university's location, students will benefit from access to a diverse range of industries, including technology, healthcare, finance, and social services. The program emphasizes the importance of data-driven decision making in today's global economy, and students will gain critical thinking and problem-solving skills that are highly valued by employers. Moreover, Bowling Green State University's commitment to research fosters an environment where students can collaborate with faculty on innovative projects.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst

Full programme details →

18 Data Analytics

Clark University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations970,546

The Master's degree in Data Analytics at Clark University equips students with the essential skills needed to analyze and interpret complex data sets. The program covers a variety of topics including statistical modeling, machine learning, data visualization, and big data technologies. Students will engage with hands-on projects that enable them to apply theoretical knowledge in practical scenarios. This comprehensive curriculum is designed to provide both technical prowess and critical thinking skills that are mandatory in the data-driven job market.The structure of the program is designed for flexibility, featuring core courses, elective options, and a capstone project that allows students to tailor their learning experience to specific interests or career goals. Course delivery combines lectures, workshops, and collaborative projects, ensuring that students gain both academic knowledge and real-world experience. This approach not only enriches the learning experience but also prepares graduates for immediate contributions in their professional roles upon completion.Studying at Clark University, situated in a vibrant academic community, offers international students exposure to diverse ideas and technologies. Massachusetts is a hub for innovation and technology, contributing significantly to the growing demand for data analytics professionals.

From the programme record

• Business Intelligence Analyst
• Machine Learning Engineer

Full programme details →

19 Master of Science in Data Science

Clarkson University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations961,654

The Master of Science in Data Science at Clarkson University prepares students to effectively analyze complex data sets and transform them into actionable insights. This program encompasses a robust curriculum that integrates mathematics, statistics, and computer science, enabling students to master predictive modeling, data visualization, machine learning, and big data technologies. With a focus on both theoretical foundations and practical applications, students will engage in real-world projects that demand critical thinking and problem-solving abilities.Typically structured over two years, the program includes core courses such as Data Mining, Statistical Methods, and Database Management, along with electives allowing customization based on individual career interests. This blend of foundational knowledge and advanced topics is designed to equip graduates with the necessary tools to address the growing demand for data professionals in various sectors.Studying at Clarkson University, located in the United States, provides students with a unique opportunity to immerse themselves in a diverse academic environment while gaining exposure to cutting-edge industry practices. The U.S. is a global leader in technology and innovation, making it an ideal location for aspiring data scientists to connect with leading organizations and build valuable professional networks.

From the programme record

• Machine Learning Engineer
• Business Intelligence Analyst
• Research Scientist in Data Science
• Data Governance Specialist

Full programme details →

20 Applied Statistics and Data Science

Villanova University

• DeliveryOn campus
• Study modeFull time
• Duration1–2 years
• StartsFall, Spring
• Research citations832,201

The Master's in Applied Statistics and Data Science at Villanova University offers a comprehensive curriculum designed to prepare students for the dynamic field of data analytics and statistical research. The program encompasses key areas such as statistical theory, data visualization, machine learning, and predictive analytics, ensuring that graduates are equipped with a diverse skill set applicable to various industries.Students will dive into practical applications of statistical methods across real-world scenarios, mastering techniques for data collection, analysis, and interpretation. The program structure incorporates hands-on projects, collaborative learning, and research opportunities, encouraging students to engage with current challenges in data science. Additionally, courses are designed to facilitate critical thinking and effective problem-solving in complex data environments.Choosing to study in the United States allows students to immerse themselves in a vibrant educational ecosystem and benefit from advanced technological resources. Villanova University, with its emphasis on ethical leadership and innovation, provides an ideal environment for aspiring data scientists and statisticians to thrive.

From the programme record

• Business Intelligence Analyst
• Operations Research Analyst

Full programme details →