Top Affordable Graduate Degrees in Data Science for Beginners

This highly regarded online program provides a comprehensive curriculum covering machine learning, data visualization, and big data technologies. It is designed to accommodate working professionals with a flexible 12-course structure and offers strong alumni networking opportunities.

Known for its rigorous engineering focus, this online degree allows students to specialize in data science while leveraging the university's strong reputation. The program emphasizes practical skills in statistical modeling and cloud computing for immediate workplace applicability.

This top-tier online program combines theoretical foundations with hands-on projects using real-world datasets. Students benefit from world-class faculty instruction and a curriculum that covers essential tools like Python, R, and SQL for comprehensive data proficiency.

Georgia Tech offers one of the most affordable accredited online degrees through its OMSCS pathway, focusing on computational analytics. The curriculum is rigorous, covering optimization, statistics, and machine learning, making it ideal for technical beginners seeking cost efficiency.

This program offers a flexible pathway for beginners, allowing coursework in either the Information Technology or Engineering colleges. It provides a solid grounding in statistical analysis and data mining with affordable tuition rates for online participants.

Focused on both theoretical knowledge and practical application, this online degree prepares students for roles in data analysis and engineering. The program features a collaborative learning environment and covers key topics like deep learning and big data processing.

This program blends data science with business acumen, teaching students how to derive actionable insights from complex datasets. It is particularly suitable for beginners looking to bridge the gap between technical skills and strategic decision-making.

UCI’s online program emphasizes practical skills in data analytics and visualization, catering to professionals seeking career advancement. The curriculum is designed to be completed part-time, offering flexibility while maintaining high academic standards and industry relevance.

This interdisciplinary program combines computer science, statistics, and domain-specific knowledge to produce well-rounded data scientists. It offers a robust foundation in machine learning and data management, suitable for beginners entering the tech industry.

Recognized for its strong industry connections, this online degree offers specialized tracks in data science and artificial intelligence. The program focuses on scalable data processing and predictive modeling, providing students with highly marketable technical skills.

Purdue’s program offers a strong engineering perspective on data science, emphasizing software development and algorithm design. It is an excellent choice for beginners with some technical background who want to deepen their understanding of data systems.

This program focuses on the end-to-end data science pipeline, from data cleaning to deployment. It is designed for working professionals, offering flexible scheduling and a curriculum that covers essential tools like Hadoop and Spark for big data analytics.

Offering a flexible online format, this degree allows students to customize their learning path with electives in various domains. The program emphasizes statistical rigor and computational efficiency, preparing graduates for diverse roles in data analysis.

MSU’s program provides a balanced approach to data science, covering both theoretical concepts and practical applications. It is designed for beginners, offering foundational courses in statistics and programming alongside advanced topics in machine learning.

This program offers a flexible curriculum that allows students to specialize in data science while maintaining a strong computer science foundation. It is ideal for beginners seeking a rigorous, accredited degree with affordable online tuition.

Northeastern’s program integrates co-op experiences, allowing students to gain practical work experience during their studies. The curriculum covers advanced analytics and data mining, providing a competitive edge for those entering the data science job market.

This extension program offers a cost-effective route to a master’s degree, focusing on practical skills in data analysis and visualization. It is suitable for beginners who want to learn industry-standard tools without the high cost of a full residential program.

USC’s program offers a strong emphasis on interdisciplinary applications, allowing students to apply data science techniques in various fields. The curriculum covers machine learning, deep learning, and big data, preparing graduates for leadership roles in data-driven organizations.

This program focuses on the practical application of data science in business and public policy. It offers a flexible online format with a curriculum that covers statistical modeling, machine learning, and data visualization for beginners.

UMass Lowell’s online program offers a comprehensive curriculum covering data mining, machine learning, and cloud computing. It is designed for working professionals, providing affordable tuition and flexible scheduling while maintaining high academic quality.