MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MS in Data Architecture and Management
Boston
INTAKE: Jan & Sept
Program Overview
Northeastern University’s MS in Data Architecture and Management program is designed for individuals seeking to advance their expertise in managing complex data systems and creating robust data architectures. This program equips students with the knowledge and skills needed to design, implement, and maintain data systems that support business intelligence, data analysis, and operational efficiency. Through a blend of theoretical knowledge and practical application, students learn to address the challenges posed by big data, cloud computing, and real-time data processing in today’s digital landscape.
STEM-designated: The MS in Data Architecture and Management program is STEM-designated, meaning it focuses on developing advanced technical skills in science, technology, engineering, and mathematics. This designation not only reflects the program’s rigorous curriculum but also enhances the career prospects of international students by extending optional practical training (OPT) benefits for an additional 24 months. This makes the program particularly attractive for students who want to deepen their technical expertise while benefiting from extended work opportunities in the United States.
Curriculum: The curriculum for the MS in Data Architecture and Management program at Northeastern University is structured to provide students with a comprehensive understanding of data systems, data modeling, database management, and analytics. Students study foundational topics such as database design, data warehousing, data governance, and cloud computing. Advanced courses explore specialized areas like big data technologies, data security, and data visualization. Throughout the program, students engage in hands-on projects and coursework that combine theory with practical skills, ensuring they are well-prepared to meet the demands of the data architecture field.
Research Focus: Research in the MS in Data Architecture and Management program is centered on the development of innovative solutions for managing and securing large-scale data environments. Students have the opportunity to engage in research that explores cutting-edge topics such as data privacy, machine learning algorithms, real-time data processing, and artificial intelligence applications in data systems. Northeastern’s research centers, such as the Institute for Experiential AI and the Data Science and Artificial Intelligence Lab, offer students access to resources and guidance in pursuing interdisciplinary research projects aimed at solving contemporary data challenges.
Industry Engagement: Northeastern University’s strong emphasis on industry engagement is a key feature of the MS in Data Architecture and Management program. The university’s well-established co-op program allows students to gain real-world experience by working with top companies in industries such as finance, healthcare, technology, and government. These co-op opportunities provide students with practical exposure to data management and architecture, allowing them to apply classroom learning in real-world settings. Students also participate in industry-sponsored projects, strengthening their technical skills and building a professional network.
Global Perspective: The MS in Data Architecture and Management program at Northeastern University incorporates a global perspective by addressing the international challenges of data governance, security, and analytics. As data transcends geographical boundaries, students gain insight into global data policies, standards, and best practices. They also collaborate with peers from diverse cultural backgrounds, broadening their understanding of how data management varies across industries and regions. This global outlook prepares graduates to tackle data management challenges in multinational organizations and global markets.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 29824
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Northeastern University in Boston offers a range of scholarship opportunities for international students to help alleviate the financial burden of studying in the United States. These scholarships are designed to support academically talented students from around the world, promoting diversity and fostering an inclusive campus environment.
Merit-Based Scholarships: Northeastern University provides merit-based scholarships to international students based on academic excellence and achievements. These scholarships are awarded during the admissions process and are highly competitive. The amount and criteria for these scholarships may vary, but they aim to recognize students who demonstrate exceptional academic performance, leadership potential, and a strong their chosen field of study.
Northeastern International Scholars Program: This prestigious program offers scholarships to outstanding international students who exhibit leadership, academic excellence, and a desire to contribute to the global community. The Northeastern International Scholars Program provides both financial support and opportunities for personal growth through networking events, leadership training, and involvement in community service initiatives.
Need-Based Financial Aid: Although Northeastern University does not offer need-based financial aid to international students, there are still many merit-based scholarships available that can significantly reduce tuition costs. However, international students are encouraged to seek external scholarships or funding from their home country to help cover the remaining costs.
External Scholarships and Funding: In addition to institutional scholarships, international students at Northeastern University can explore a variety of external scholarship opportunities from governments, foundations, and organizations in their home countries. Many international students receive funding from these sources to support their education at Northeastern.
Graduates of the MS in Data Architecture and Management program at Northeastern University are well-prepared for a wide range of roles in the data management and architecture fields. The program equips students with advanced skills in database management, data systems design, and analytics, making them highly competitive in the job market.
Data Architect: Design and implement large-scale data systems, focusing on creating efficient and scalable architectures to store, process, and manage data effectively across organizations.
Database Administrator: Manage and maintain databases to ensure data integrity, availability, and security, optimizing performance and troubleshooting any issues that arise.
Data Engineer: Build and optimize data pipelines that collect, process, and analyze large datasets, ensuring data is available for business intelligence and analytics purposes.
Business Intelligence Analyst: Analyze data and provide actionable insights to support decision-making and strategy development within organizations, often using tools like data visualization and reporting software.
Data Governance Manager: Oversee the policies and procedures for managing data across an organization, ensuring compliance with regulations, data security, and privacy standards.
Cloud Data Engineer: Design and implement cloud-based data solutions, helping organizations move their data systems to the cloud while optimizing storage, processing, and security.
Data Security Engineer: Focus on safeguarding sensitive data by implementing security measures, detecting vulnerabilities, and ensuring compliance with industry regulations related to data privacy.
Chief Data Officer (CDO): Lead an organization's data strategy, ensuring data is leveraged to support business objectives while managing governance, security, and analytics functions.
