Data Architecture and Management

Program overview

Northeastern’s Master of Science in Data Architecture and Management is tailored to equip students with the essential knowledge and technical skills necessary to design Big Data systems, manage databases, and derive valuable business insights. This program is designed to meet the increasing demand for data engineers across various industries, allowing students to either enhance their current careers or embark on new professional journeys. The curriculum emphasizes the integration of business intelligence, data warehousing, software engineering, and machine learning techniques, ensuring that graduates are well-prepared for the evolving landscape of data integration.

Program structure

The Master of Science in Data Architecture and Management program is structured to provide flexibility and depth in learning. Key details include:

• Program Length: 24 Months
• Entry Terms: Fall and Spring
• Program Format: Available in both part-time and full-time options
• Personalization: Students can choose from a variety of electives to tailor their degree to their career interests

This program is designed to accommodate the busy schedules of students, allowing them to balance their studies with other commitments while gaining a comprehensive education in data architecture and management.

Featured Experiences

• Engage in cutting-edge coursework that merges business intelligence, data warehousing, and software engineering.
• Learn from industry experts through an employer-aligned and student-centered curriculum.
• Participate in Northeastern’s leading co-op program, gaining up to eight months of full-time work experience.
• Benefit from dedicated career services that connect students to industry leaders.
• Experience project-based learning that allows students to apply their coursework to real-world challenges.
• Study in a top city for STEM professionals, enhancing both education and career opportunities.

Career Options

Graduates of the Master of Science in Data Architecture and Management program can pursue a variety of career paths in Canada, including:

• Data Engineer: Responsible for designing and maintaining data pipelines and architecture, ensuring data is accessible and usable for analysis.
• Database Administrator: Manages and maintains databases, ensuring their performance, security, and availability.
• Business Intelligence Analyst: Analyzes data to provide actionable insights that drive business decisions and strategies.
• Data Scientist: Utilizes statistical methods and machine learning to analyze complex data sets and derive meaningful insights.
• Cloud Solutions Architect: Designs and manages cloud-based solutions, ensuring they meet the needs of the organization and its data requirements.

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.