Available start dates for the program:  See Academic Calendar

Program language: English or Spanish

Available Schedules: Monday, Tuesday, Wednesday and Thursday from 7:00PM-10:00PM

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Educational offering are delivered through distance education (hybrid)

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M.S. in Data Systems Engineering

The Master of Science in Data Systems Engineering is grounded in the integration of technology, systems thinking, and applied research. It provides students with advanced knowledge and practical tools to design, build, and manage complex data systems that support decision-making in today’s digital economy. The program focuses on the core pillars of data engineering, cloud computing, artificial intelligence, and cybersecurity—offering a foundation for innovation and leadership in the tech industry.

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In a world increasingly driven by data, organizations require professionals who can manage not only the collection and storage of large-scale data, but also its analysis, security, and integration across systems. The MS-DSE program emphasizes a systems-based approach to data lifecycle management—preparing graduates to understand, evaluate, and improve data infrastructure and workflows within diverse organizational environments.

The JMVU Master’s degree in Data Systems Engineering includes in-depth study of cloud architecture, big data platforms, data pipeline engineering, machine learning implementation, and ethical considerations in AI and data use. Courses are designed to reflect real-world challenges, encouraging students to apply engineering principles to design scalable, secure, and high-performing data systems.

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This program embraces the latest research and technological advancements, enabling students to pursue innovative solutions to complex problems. Graduates of this program will be prepared to lead projects, contribute to digital transformation initiatives, and drive strategic value through data in roles such as Data Engineer, Cloud Solutions Architect, Machine Learning Engineer, and Systems Analyst.

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Program Objectives 

1. Design, build, and manage scalable and secure data systems by applying advanced concepts in database technologies, distributed systems, and cloud computing. Students will be able to architect solutions that support large-scale data storage, access, and processing across various platforms.

2. Develop robust data pipelines and processing frameworks for managing structured and unstructured data, leveraging tools such as Apache Spark, Hadoop, and real-time technologies to support data ingestion, transformation, and analytics across multiple environments, including IoT ecosystems.

3. Integrate artificial intelligence and machine learning models into data systems to support predictive analytics, automation, and intelligent decision-making. Graduates will demonstrate the ability to select appropriate algorithms, train models, and implement them in real-world data applications.

4. Apply best practices in data security, privacy, and compliance by implementing strategies to protect sensitive information and ensure systems meet regulatory requirements such as GDPR and HIPAA, while maintaining ethical standards in data management and AI deployment.

5. Demonstrate critical thinking and applied problem-solving skills by completing a capstone project that synthesizes knowledge from all core areas of the program. Students will design, implement, and present a comprehensive data systems solution that addresses a complex, real-world challenge in a professional context.

 

This program is offered exclusively in English or in Spanish.