A curated selection of high-quality, budget-friendly online Master’s in Data Science programs designed for professionals transitioning into tech. These degrees offer flexible scheduling, practical skill development, and strong return on investment for aspiring data analysts, engineers, and scientists.
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Delivered through the iSchool, this program offers exceptional value with a $12,000 total tuition for the full degree. It provides flexibility with four start dates per year and covers essential topics like machine learning and big data management without requiring GRE scores.
Often referred to as the iMSIDS, this online program is highly regarded for its rigorous curriculum taught by faculty from Kelley and Luddy schools. With a competitive tuition rate and comprehensive coverage of statistical computing and data visualization, it serves as a strong foundation for career changers.
Renowned for its low cost of approximately $7,000, this program offers three tracks: Business Analytics, Health Analytics, and Cybersecurity Analytics. It provides a deep technical understanding of data analysis and is ideal for those seeking top-tier education at an unprecedented price point.
This program leverages the Big Data and Data Analytics Research Center to provide a robust curriculum in data mining and enterprise applications. It is designed for working professionals, offering a blend of theoretical knowledge and practical tools used in industry settings.
UNC Charlotte offers a flexible online format with evening and weekend classes available for synchronous participation. The curriculum emphasizes data wrangling, statistical modeling, and visualization, making it accessible for students transitioning from non-technical backgrounds.
As part of SUNY, this program offers affordable tuition rates while maintaining high academic standards. It covers data mining, machine learning, and database systems, providing a solid technical grounding for students aiming to enter data-driven industries.
FAU provides a streamlined online curriculum focused on practical applications of data science in business and healthcare. The program’s affordability and focus on real-world projects make it an excellent choice for career changers seeking immediate applicability of their skills.
Offered through the College of Engineering, this program is known for its rigorous technical depth and affordability relative to private institutions. It prepares students for roles requiring strong analytical and computational skills, with a curriculum that evolves with industry trends.
WSU’s program is designed for flexibility, allowing students to complete the degree on their own schedule while covering core competencies in programming and statistics. It is particularly appealing to those seeking a cost-effective pathway into the data science field.
This program offers a blend of technical and business perspectives, suitable for those aiming for leadership roles in data. While slightly higher in cost, it provides strong career services and networking opportunities that can enhance ROI for career changers.
UF’s online program leverages the expertise of its renowned research institutions to provide a comprehensive education in data analytics. It focuses on both the technical aspects of data processing and the strategic application of insights in various sectors.
ASU offers a flexible online format with a curriculum that includes machine learning, data visualization, and big data technologies. Its large alumni network and strong industry connections provide valuable support for students transitioning into new careers.
This program emphasizes practical skills in data mining, statistical computing, and database management. Texas Tech’s affordable tuition and flexible scheduling make it an attractive option for students looking to balance work and study while gaining new technical skills.
Designed specifically for working adults, UMGC’s program offers a curriculum tailored to immediate workplace application. It covers data wrangling, predictive analytics, and ethics in data science, providing a practical approach for career changers.
CSU Chico offers an affordable online option with a focus on statistical methods and computational techniques. The program is structured to help students build a strong portfolio of projects, demonstrating their capabilities to potential employers.
UNT’s program provides a comprehensive overview of data science methodologies, including machine learning and data visualization. Its online format is designed to accommodate working professionals, offering a cost-effective route to acquiring in-demand technical skills.
SNHU is known for its accessibility and supportive online learning environment. The program focuses on business intelligence, data visualization, and statistical analysis, making it ideal for those looking to apply data insights in corporate settings.
Liberty offers a Christian-based curriculum that integrates ethical considerations with technical training. The program covers data management, predictive modeling, and business analytics, providing a holistic education for students seeking to enter the data field.
While not exclusively data science, UT Austin’s SMIM program offers strong tracks in data analytics and information management. The program’s prestige and rigorous curriculum provide a significant career boost, although the cost is higher than other options on this list.
The Rochester Institute of Technology (RIT) offers a highly respected online MS in Data Science with a focus on practical skills. It covers topics such as machine learning, deep learning, and data ethics, providing a comprehensive education for aspiring data professionals.