A curated selection of accredited online Master’s in Data Science programs designed for part-time students balancing work and study. These programs offer asynchronous learning, capped cohorts, and career-focused curricula to help working professionals upskill without pausing their careers.
Get targeted exposure with custom position pinning and highlighted placement.
The Information Systems MBA or MS in Analytics offers a highly flexible online path with synchronous evening sessions. Known for its rigorous curriculum and strong industry connections, it allows students to customize their focus on data science applications within business contexts.
The Online Master of Science in Analytics is a 10-month program designed for working professionals. It features a blend of core analytical courses and electives, allowing students to gain practical skills in data mining and machine learning while maintaining full-time employment.
Offering an MS in Data Science, this program provides asynchronous coursework ideal for busy schedules. Students can choose concentrations in areas like Big Data, Bioinformatics, or Statistical Learning, with a strong emphasis on ethical data usage and real-world problem solving.
The Online MS in Data Science offers multiple start dates per year and flexible pacing options. It combines foundational statistics and computer science with specialized tracks, including a capstone project that addresses a real-world business challenge for immediate career impact.
While primarily known for its MS in Analytics, Georgia Tech’s curriculum is heavily applicable to data science roles. The online format is highly affordable and rigorous, allowing students to leverage their existing technical backgrounds while studying at their own pace through structured modules.
The Online MS in Data Analytics offers a 12-month accelerated track suitable for working professionals. It focuses on the full data lifecycle from collection to visualization, providing a robust foundation in Python, SQL, and machine learning algorithms through flexible online delivery.
The iMBA with a Data Science concentration or the standalone MS in Data Science offers flexible online learning. Known for its top-tier faculty and extensive alumni network, it provides students with deep analytical skills and strategic business acumen tailored for leadership roles.
The Online MS in Data Science features a 1.5 to 3-year completion window, offering significant pacing flexibility. The curriculum covers statistical modeling and data mining, with opportunities for internships and professional development workshops integrated directly into the online experience.
Penn State’s Online MS in Analytics is designed for part-time learners, allowing students to complete the degree in as little as 15 months. It emphasizes predictive modeling and data visualization, with a curriculum updated regularly to reflect industry trends and technological advancements.
The Online MS in Data Science offers a flexible schedule with courses available in the evenings. It provides a strong technical foundation in machine learning and deep learning, preparing students for advanced roles in tech firms, finance, and healthcare through rigorous online instruction.
The Online MS in Data Science is a terminal degree designed for working professionals seeking specialized knowledge. It offers a flexible path with core courses in statistics and computing, plus electives in healthcare, finance, or public policy, allowing for tailored career preparation.
ASU Online’s MS in Data Science and Analytics offers a flexible curriculum with multiple entry points throughout the year. It focuses on practical applications of data analytics, providing students with hands-on experience using industry-standard tools and technologies in a supportive online environment.
The Online MS in Data Science is designed for working adults, offering a flexible schedule and affordable tuition. The program covers statistical methods, programming, and data visualization, equipping students with the skills needed to extract actionable insights from complex datasets.
The Online MS in Data Science offers a flexible timeline for completion, allowing students to work at their own pace. It emphasizes statistical modeling and machine learning, with a curriculum developed by leading faculty to ensure academic rigor and industry relevance for online learners.
The Online MS in Data Science is designed for working professionals, offering a flexible course schedule and asynchronous learning. The curriculum includes courses in machine learning, data mining, and big data technologies, preparing students for high-demand roles in various industries.
The Stanford MS in Data Science is not fully online, but its professional education offerings are relevant. Students can take individual online courses in data science and machine learning, gaining targeted skills without committing to a full degree program, ideal for specialized upskilling.
The Online MS in Data Analytics offers a flexible schedule and affordable tuition, making it accessible for working professionals. It focuses on data-driven decision-making, with courses in predictive analytics and data visualization, providing a comprehensive foundation for data science careers.
The Online MS in Data Analytics is designed for working professionals, offering a flexible schedule and asynchronous learning. The curriculum covers statistical modeling, machine learning, and data visualization, equipping students with the skills needed to analyze and interpret complex data sets.
UMGC’s Online MS in Data Science offers a flexible schedule and affordable tuition, making it accessible for working professionals. It focuses on practical applications of data science, with courses in machine learning, big data analytics, and data visualization, preparing students for immediate career advancement.
The UoPeople MS in Data Science is a low-cost, flexible online program suitable for budget-conscious students. It covers fundamental concepts in statistics, programming, and machine learning, providing a foundational education for those entering the field with limited prior experience.