2024 Best Data Science Master’s Programs

Stanford University’s Data Science Master’s Program offers a comprehensive curriculum designed to equip students with advanced skills in data analysis, machine learning, and statistical modeling. The program is accredited by the Western Association of Schools and Colleges (WASC) and is delivered through a combination of on-campus and online courses, allowing for flexible learning. The duration of the program typically spans 2 to 3 years, depending on whether students choose to pursue it full-time or part-time. Core courses cover a wide range of topics, including data visualization, predictive analytics, and artificial intelligence, ensuring students gain both theoretical and practical knowledge.

Tuition for the Stanford Data Science Master’s Program is estimated at $56,000 per year, though the exact cost may vary depending on student residency and program choice (full-time or part-time). Additional fees, including those for materials and activities, may also apply.

Stanford is renowned for its cutting-edge research and its proximity to Silicon Valley, offering students unparalleled access to industry leaders and a vast network of alumni in data science and related fields. The program’s focus on both technical skills and problem-solving allows graduates to thrive in a range of industries. With state-of-the-art facilities and faculty who are experts in their fields, students receive an education that prepares them for leadership roles in data science.

The University of California, San Diego (UCSD) offers a Master of Advanced Studies (MAS) in Data Science and Engineering. This highly regarded program is accredited by the Western Association of Schools and Colleges (WASC) and provides students with an in-depth education in both theoretical and applied data science. The program typically takes 1 to 2 years to complete, depending on whether students attend full-time or part-time. Students engage in a combination of core courses and electives, with a focus on data engineering, machine learning, big data analytics, and data visualization. Hands-on experience is emphasized through practical projects and research opportunities, preparing students for real-world challenges in the field.

The estimated tuition for the MAS in Data Science and Engineering at UCSD is approximately $24,000 per year for California residents and $33,000 per year for non-residents. Additional costs for books, materials, and fees are also applicable.

UCSD’s location in San Diego offers students access to a vibrant tech and research community, providing ample networking opportunities with professionals in the field of data science. The program’s curriculum is designed to meet the growing demand for data scientists in diverse industries, equipping graduates with the skills necessary to excel in roles ranging from data analyst to data engineer. UCSD’s strong focus on data-driven problem solving and innovation sets it apart as a top choice for aspiring data scientists.

Saint Joseph’s University offers a Master of Science in Data Science that combines the rigor of data science with the ethical grounding of a Jesuit education. The program is accredited by the Middle States Commission on Higher Education (MSCHE) and can be completed in 1.5 to 2 years, depending on the student’s pace. The curriculum covers foundational areas such as data visualization, machine learning, and big data analytics, along with more specialized topics like natural language processing and data ethics. Students also engage in capstone projects and internships, providing practical experience and exposure to real-world data challenges.

The estimated tuition for the Master of Science in Data Science program at Saint Joseph’s University is approximately $1,200 per credit hour. With a total of 30-33 credits required for graduation, the estimated annual cost is between $36,000 and $39,600, excluding additional fees for materials and activities.

Saint Joseph’s program stands out for its commitment to integrating data science with ethical considerations, ensuring students not only gain technical expertise but also understand the broader social implications of data analysis. The university’s Jesuit values emphasize leadership, social responsibility, and critical thinking, which are integrated throughout the program. The program’s blend of flexibility, academic rigor, and ethical focus prepares graduates to excel in a variety of industries while making meaningful contributions to society.

Texas A&M University offers a Master of Science in Data Science, designed to provide students with a strong foundation in computational tools, statistical methods, and advanced data analysis techniques. Accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), the program is available both online and on-campus, offering flexibility for working professionals. The typical duration of the program is 1.5 to 2 years. The curriculum includes core courses in machine learning, data visualization, and big data technologies, with elective options in artificial intelligence, business analytics, and bioinformatics. The program emphasizes hands-on learning through projects and industry collaborations.

The estimated annual tuition for the Master of Science in Data Science at Texas A&M is approximately $15,000 for Texas residents and $30,000 for non-residents. Additional fees may apply for online students or specific program services.

Texas A&M’s program is renowned for its balance of theoretical and applied learning, preparing graduates to tackle real-world challenges in data science. Students benefit from access to state-of-the-art facilities, distinguished faculty, and a robust alumni network. The university’s partnerships with leading industries offer internship and research opportunities, ensuring graduates are well-prepared for high-demand roles in various sectors. Located in a thriving research and technology hub, Texas A&M also provides excellent career placement support for data science professionals.

Boston University offers a Master of Science in Data Science through its Graduate School of Arts & Sciences. Accredited by the New England Commission of Higher Education (NECHE), the program combines a strong foundation in data analysis, machine learning, and statistical methods with practical applications. The program duration is typically 1.5 to 2 years for full-time students, with part-time options available. The curriculum includes core courses in data mining, artificial intelligence, and computational statistics, along with electives in business analytics, bioinformatics, and natural language processing. A hands-on capstone project allows students to apply their skills to solve real-world problems.

The estimated annual tuition for the Master of Science in Data Science program at Boston University is approximately $60,000, excluding additional fees for materials, activities, and living expenses.

Boston University’s program stands out for its interdisciplinary approach, blending computer science, mathematics, and business analytics. Located in the heart of Boston, a city known for its thriving tech and innovation scene, students have access to numerous networking opportunities, internships, and career placements with leading companies. The program’s focus on both technical expertise and critical thinking equips graduates to excel in diverse industries, from finance to healthcare. BU’s robust alumni network and career resources further enhance job prospects for its graduates.

The University of Virginia (UVA) offers a Master of Science in Data Science through the School of Data Science. Accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), the program is designed to be completed in 11 months for full-time students, offering an accelerated path to expertise. The curriculum integrates key topics such as machine learning, big data analytics, data visualization, and ethics in data science. Students also participate in a capstone project where they collaborate with industry partners to solve complex, real-world problems. The program emphasizes interdisciplinary learning, drawing from computer science, statistics, and domain-specific applications.

The estimated tuition for the Master of Science in Data Science at UVA is approximately $34,000 for Virginia residents and $45,000 for non-residents. Additional fees and living expenses may apply.

UVA’s Data Science program is distinguished by its accelerated timeline and focus on ethical data practices, making it an excellent choice for those seeking a fast yet comprehensive education. The university’s strong connections with industry leaders and government organizations provide students with outstanding networking and career opportunities. UVA’s location in Charlottesville, a burgeoning tech hub, adds to the program’s appeal. The program’s emphasis on collaboration, innovation, and ethical decision-making ensures graduates are well-prepared for impactful careers in data science.

The University of Michigan-Dearborn offers a Master of Science in Data Science through its College of Engineering and Computer Science. Accredited by the Higher Learning Commission (HLC), the program provides students with a robust foundation in data analysis, statistical modeling, and machine learning. The program can be completed in 1.5 to 2 years for full-time students, with part-time options available for working professionals. The curriculum includes courses in big data analytics, data visualization, and artificial intelligence, along with elective tracks in cybersecurity, business analytics, and health informatics. A capstone project allows students to apply their knowledge to practical, real-world challenges.

The estimated tuition for the Master of Science in Data Science program at UM-Dearborn is approximately $15,000 per year for Michigan residents and $30,000 per year for non-residents. Additional costs for fees, books, and materials may apply.

UM-Dearborn’s program is tailored to meet the growing demand for data science professionals, offering a balance of theoretical learning and hands-on experience. Its location near Detroit, a hub for automotive, healthcare, and tech industries, provides students with numerous internship and career opportunities. The program emphasizes real-world applications, and its smaller class sizes ensure personalized attention and mentorship from faculty. Graduates are equipped with the skills needed to thrive in data-driven roles across diverse industries.

The University of Iowa offers a Master of Science in Business Analytics with a focus on data science through its Tippie College of Business. Accredited by the Higher Learning Commission (HLC) and AACSB International, the program combines foundational knowledge in analytics with cutting-edge data science tools and techniques. Designed for flexibility, students can complete the program in as little as 12 months full-time or at their own pace part-time. Core courses include predictive modeling, machine learning, and data visualization, while electives allow students to specialize in areas such as healthcare analytics, marketing analytics, or finance. A hands-on capstone project integrates learning with real-world application.

The estimated tuition for the Master of Science in Business Analytics program at the University of Iowa is approximately $13,000 per year for Iowa residents and $32,000 per year for non-residents. Additional fees and costs for materials may apply.

The University of Iowa’s program is known for its strong industry connections, offering students access to internships, networking events, and job placements with leading companies. Its focus on business applications of data science prepares graduates for impactful roles in diverse sectors. The Tippie College of Business is a nationally recognized institution, and the program’s flexibility caters to both recent graduates and working professionals. The University of Iowa also provides excellent career services, helping students transition seamlessly into the workforce.

The University of Florida offers a Master of Science in Data Science program through its Herbert Wertheim College of Engineering. Accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), this interdisciplinary program blends computer science, statistics, and domain-specific applications to provide a comprehensive education in data science. The program can be completed in 1.5 to 2 years, depending on the student’s pace. Core courses include machine learning, data visualization, and big data analytics, while electives allow specialization in areas like artificial intelligence, bioinformatics, or business analytics. A capstone project and access to cutting-edge research facilities further enhance hands-on learning.

The estimated tuition for the Master of Science in Data Science program is approximately $12,740 per year for Florida residents and $30,134 per year for non-residents. Additional costs for materials, fees, and living expenses may apply.

The University of Florida’s program is highly ranked and provides a blend of technical expertise and practical applications, preparing students for success in data-driven careers. The program’s access to research facilities and partnerships with leading industries offers valuable opportunities for internships and career advancement. Located in Gainesville, UF provides a vibrant academic environment with robust career support services and an extensive alumni network, helping students secure roles in top-tier companies across diverse industries.

The University of Minnesota – Twin Cities offers a Master of Science in Data Science through its College of Science and Engineering. Accredited by the Higher Learning Commission (HLC), the program equips students with advanced skills in data analysis, machine learning, and statistical modeling. Designed for completion in 1.5 to 2 years, the program offers flexibility for full-time and part-time students. Core courses cover big data management, data mining, and visualization, with elective options in artificial intelligence, bioinformatics, and business analytics. A required capstone project provides real-world experience by partnering with industry leaders to solve data-driven challenges.

The estimated annual tuition for the program is approximately $19,200 for Minnesota residents and $28,800 for non-residents. Additional fees and living expenses may apply.

The University of Minnesota’s program stands out for its strong emphasis on both theoretical foundations and practical applications. Located in Minneapolis-St. Paul, a thriving tech and business hub, the program offers unparalleled access to internships, networking events, and career opportunities. Students benefit from small class sizes, personalized faculty mentorship, and access to cutting-edge research facilities. With a focus on interdisciplinary learning and strong industry ties, the program ensures graduates are well-equipped to succeed in various fields, including technology, healthcare, and finance.

Bentley University offers a Master of Science in Data Analytics through its McCallum Graduate School of Business. Accredited by the New England Commission of Higher Education (NECHE) and AACSB International, the program provides a unique blend of technical data science skills and business acumen. Designed for completion in 12 to 18 months full-time, the program also supports part-time schedules. The curriculum includes courses in machine learning, predictive analytics, and data visualization, along with electives in marketing analytics, finance, and healthcare. A capstone project allows students to solve real-world problems in collaboration with industry partners.

The estimated annual tuition for the Master of Science in Data Analytics program at Bentley University is approximately $55,000, with additional costs for fees and materials.

Bentley University’s program is tailored for students seeking to leverage data analytics in business decision-making. Its location near Boston, a hub for technology and innovation, provides excellent opportunities for internships and networking. The program emphasizes practical learning with access to state-of-the-art labs and software tools. Bentley’s dedicated career services and strong industry connections ensure graduates are well-positioned for success in roles across various sectors. The program also offers optional certifications, such as SAS and Tableau, enhancing students’ professional credentials.

Texas Tech University offers a Master of Science in Data Science through its College of Arts and Sciences. Accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), the program combines rigorous technical training with practical applications. Designed for completion in 1.5 to 2 years, the program accommodates both full-time and part-time students. The curriculum covers core topics such as data mining, machine learning, and big data technologies, with elective options in bioinformatics, business analytics, and artificial intelligence. A hands-on capstone project allows students to address real-world challenges in collaboration with industry partners.

The estimated tuition for the Master of Science in Data Science program is approximately $9,350 per year for Texas residents and $17,530 per year for non-residents. Additional costs for materials and fees may apply.

Texas Tech University’s data science program emphasizes a balance between theory and practical application, making it ideal for students aiming to excel in today’s data-driven industries. Located in Lubbock, Texas, the program provides students with access to a growing tech ecosystem and a wealth of networking opportunities. The university’s strong focus on research and partnerships with leading companies offers excellent opportunities for internships and career placement. Small class sizes and dedicated faculty mentorship further enhance the learning experience, ensuring graduates are well-prepared for careers in diverse fields such as technology, healthcare, and finance.

Worcester Polytechnic Institute (WPI) offers a Master of Science in Data Science through its interdisciplinary program that combines computer science, business, and mathematics. Accredited by the New England Commission of Higher Education (NECHE), the program is designed for completion in 1.5 to 2 years full-time, with part-time options available. The curriculum includes courses in machine learning, big data analytics, and data visualization, with opportunities to specialize in fields like financial analytics, bioinformatics, and cybersecurity. The program emphasizes experiential learning, including a required capstone project or thesis, where students solve real-world problems using advanced data science techniques.

The estimated annual tuition for the Master of Science in Data Science program at WPI is approximately $29,040, with additional fees and costs for materials.

WPI’s program is highly regarded for its focus on hands-on, project-based learning. Students work closely with faculty and industry partners, gaining valuable experience in solving practical data challenges. Located in Worcester, Massachusetts, the program offers proximity to Boston’s thriving tech ecosystem, providing students with excellent internship and networking opportunities. The university’s strong industry ties and career development resources ensure graduates are prepared for competitive roles in data science and analytics across various sectors, including technology, healthcare, and finance.

Seattle University offers a Master of Science in Data Science through its College of Science and Engineering. Accredited by the Northwest Commission on Colleges and Universities (NWCCU), the program is designed to provide a strong foundation in both the theoretical and applied aspects of data science. The program can be completed in 1.5 to 2 years, with flexible options for both full-time and part-time students. Key courses include data mining, machine learning, data visualization, and ethics in data science. Students also have the opportunity to participate in a capstone project, where they work with local organizations to solve real-world data challenges.

The estimated annual tuition for the Master of Science in Data Science program at Seattle University is approximately $39,000, with additional fees for materials and resources.

Seattle University’s program is known for its integration of ethics and social responsibility into the data science curriculum, ensuring graduates are not only technically proficient but also aware of the broader implications of data-driven decision-making. Located in the heart of Seattle, a major tech hub, students have access to internship and career opportunities with leading companies such as Amazon, Microsoft, and Boeing. The program’s small class sizes allow for personalized attention and close mentorship from faculty. Seattle University also offers strong career services and a collaborative, community-focused learning environment.

The University of Illinois at Chicago (UIC) offers a Master of Science in Data Science through its College of Engineering. Accredited by the Higher Learning Commission (HLC), this program is designed to equip students with the technical expertise necessary to succeed in the rapidly evolving field of data science. The program can typically be completed in 1.5 to 2 years and is available for both full-time and part-time students. Core courses cover areas such as machine learning, big data analytics, data mining, and data visualization. The program also emphasizes real-world experience through a capstone project, where students work with industry partners to solve data-driven problems.

The estimated annual tuition for the Master of Science in Data Science program at UIC is approximately $17,000 for Illinois residents and $25,000 for non-residents, with additional fees for materials and resources.

UIC’s data science program stands out for its emphasis on interdisciplinary learning, combining knowledge from computer science, statistics, and engineering. The program’s location in Chicago, a major tech and business hub, provides students with ample internship and career opportunities with leading companies in sectors like finance, healthcare, and technology. The faculty at UIC are actively involved in cutting-edge research, and students benefit from small class sizes and close interactions with professors. Additionally, the program offers robust career services to support students in securing post-graduation roles.