College of Engineering

Data Architecture and Management

Master's: Boston
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The MS in Data Architecture and Management goes beyond data collection and analysis. It addresses crucial activities, including data preparation, data curation, application integration, and data engineering based on the combination of use cases and integration persona.

Boston
Location
Full-Time
Part-Time
Commitment
2 Years
Duration of Program
Yes
Meets F1 Visa Requirements
Overview

The Master of Science in Data Architecture and Management offers a multitude of courses in data engineering, including supplementary courses required to deliver data results to management in a meaningful way. We plan to cover data management, advanced data management, data warehousing and business intelligence, column databases, data science engineering, and big-data engineering. On the software engineering side, we offer advanced big-data programming using the powerful Scala language and a course on advanced data science as well as cloud computing. We also offer multi-thread concurrent computing—important for synchronizing a huge set of servers working in parallel to do large scale analytics, making things run faster by 100s-fold increase in speed. Due to the high-level mathematical operations required to make these programs run, only software engineers can work in these complicated areas. Only they can make the necessary mathematical algorithms execute quickly enough to get the finest results.

More Details

Unique Features

  • Students may pursue a PhD after completion of the master's degree
  • Can be combined with a Gordon Engineering Leadership certificate
  • Graduates of Northeastern's College of Engineering programs have been very successful in obtaining employment during the last 10 years

Looking for something different?

View more Engineering programs
Admissions

A graduate degree or certificate from Northeastern—a top-40 university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.

Program Costs

$53.2K *
Tuition

Finance Your Education We offer a variety of resources, including scholarships and assistantships.

How to Apply Learn more about the application process and requirements.

Requirements

  • Completed online application form
  • $75 application fee
  • Two letters of recommendation
  • Transcripts from all institutions attended
  • Official GRE scores
  • Statement of purpose
  • Resumé
  • TOEFL or IELTS for international applicants

Are You an International Student? Find out what additional documents are required to apply.

Global Engagement Learn how our teaching and research benefit from a worldwide network of students, faculty, and industry partners.

Admissions Dates

Applications received after the stated deadline dates will be accepted and processed when complete as quickly as possible; however it may not be possible to have a decision rendered in time for the applicant to begin taking classes for the desired term if admitted.

Applications submitted by the referenced dates will receive full consideration for the referenced term. Applications received after the referenced dates will be considered on a case-by-case basis.

Fall Semester Entry
Spring Semester Entry
Funding/early action deadline for domestic and international applicants: January 15
Deadline for international applicants (outside the U.S.): May 15
Deadline for international applicants (inside the U.S.): July 1
Deadline for domestic applicants: August 1
Deadline for regional campus applicants: August 15
Deadline for international applicants (outside the U.S.): September 15
Deadline for International applicants (inside the U.S.): November 1
Deadline for domestic applicants: November 15
Deadline for regional campus applicants: December 15
Curriculum

General Requirements

Core Requirements
INFO 6105 - Data Science Engineering Methods and Tools 
4.00 
INFO 6210 - Data Management and Database Design 
4.00 
INFO 7370 - Designing Advanced Data Architectures for Business Intelligence 
4.00 
INFO 7250 - Engineering of Big-Data Systems 
4.00 

Electives

Complete 16 semester hours from the following:

CSYE 7200 - Big-Data System Engineering Using Scala 
4.00 
CSYE 7245 - Big-Data Systems and Intelligence Analytics 
4.00 
CSYE 7250 - Big Data Architecture and Governance 
4.00 
INFO 6215 - Business Analysis and Information Engineering 
4.00 
INFO 6245 - Planning and Managing Information Systems Development 
4.00 
INFO 6255 - Software Quality Control and Management 
4.00 
INFO 6660 - Business Ethics and Intellectual Property for Engineers 
4.00 
INFO 7255 - Advanced Big-Data Applications and Indexing Techniques 
4.00 
INFO 7290 - Data Warehousing and Business Intelligence 
4.00 
INFO 7300 - Engineering Cybersecure Software Systems 
4.00 
INFO 7325 - Introduction to Information Technology Auditing 
4.00 
INFO 7390 - Advances in Data Sciences and Architecture 
4.00 

Please note: This curriculum is for marketing purposes only and is subject to change. Official curriculum can be found within the course catalog.



Experiential Learning

Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Through this program, students gain professional industry experience in their field of interest as part of the academic curriculum while employed from four to eight months in a wide variety of organizations, from large companies to entrepreneurial startups.
 
In 2019, the Graduate School of Engineering placed nearly 1000 students in co-op positions. We have a team that prepares students for the cooperative education experience through resumé building, developing interview skills, and guiding professional development.

Faculty

Our Faculty

Our faculty represents a wide cross-section of professional practices and fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.

Khaled Bugrara

Information Systems Program Director, Graduate School of Engineering
Students

By enrolling in Northeastern, you gain access to a network of more than 255,000 alumni and 3,350+ employer partners, including Fortune 500 companies, government agencies, and global nongovernmental organizations. Our current students and faculty across strategically located regional locations further foster a lifelong, global community of learning and mentoring.

Below is a look at where our Engineering alumni work, the positions they hold, and the skills they bring to their organization.

 

  • Where They Work

    • GE Aviation
    • Raytheon
    • CDM Smith
    • Bose Corporation
    • IBM

  • What They Do

    • Engineering
    • Operations
    • Business Development
    • Program and Project Management
    • Entrepreneurship

  • What They're Skilled At

    • Engineering
    • Project Management
    • AutoCAD
    • SolidWorks
    • Manufacturing

 

Learn more about Northeastern Alumni on Linkedin.

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