A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.
Program
- Award
- MS
- Credential class
- ceterms:MasterDegree
- CIP
- 11.0902
- Catalog edition
- Catalog 2026-2027
- Checklist type
- degree-program
- Description
- Data Architecture and Management, MS (Toronto) Software Engineering Systems, MS (Arlington) Software Engineering Systems, MS (Boston) Software Engineering Systems, MS (Toronto) Blockchain and Smart Contract Engineering, Graduate Certificate (Arlington) Blockchain and Smart Contract Engineering, Graduate Certificate (Boston) Cyber and Information Systems, Graduate Certificate (Online) Engineering Leadership, Graduate Certificate (Boston) Medical Software Engineering, Graduate Certificate (Boston) Software Engineering Systems, Graduate Certificate (Arlington) Software Engineering Systems, Graduate Certificate (Boston) Software Product Management, Graduate Certificate (Online) Interdisciplinary Graduate Programs Graduate Certificate Programs Bouvé College of Health Sciences School of Law College of Professional Studies College of Science College of Social Sciences and Humanities Mills College at Northeastern Gordon Institute of Engineering Leadership Additional Programs Course Descriptions Catalog Archives Student Handbook Print Options // Overview Program Requirements For program contact information, please visit this website . Many MS programs in the data area deal with data collection and analysis but do not, however, address a crucial activity that data scientists, data analysts, business analysts, and many software engineers need to perform to make that data valuable-data integration. That activity may also be referred to as data preparation, data curation, application integration, and data engineering based on the integration of use cases and integration persona. The Master of Science in Data Architecture and Management focuses on these activities. Data systems engineering occurs because data is fragmented and usually scattered across many data sources. However, even if all the data one needed were in one place, there is still an intensive need for integration. Information is data in context and the context of data as collected is different than the many ways it needs to be transformed so as to generate useful information. The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings in more elements from software engineering. This discipline also integrates specialization around the operation of so-called Big Data distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. The Master of Science in Data Architecture and Management offers a multitude of courses in data engineering in addition to supplementary courses that are required to deliver the data results in a meaningful way to management. 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. Multithread concurrent computing is also offered as it is important for synchronizing a huge set of servers working in parallel to do large-scale analytics to make things run faster by hundredfold increases in speed. Due to the high-level mathematical operations required to make these programs run, only software engineers can make the necessary mathematical algorithms execute quickly enough to work in these complicated areas and get the finest results. Degree Requirements Students in the program must complete 32 semester hours of approved coursework with a minimum grade-point average of 3.000. Students can complete a master's degree by pursuing any of one of the three options: coursework, project, or thesis. Master's project and thesis options must be carried out under the supervision of a professor and must have prior approval of the program director. Complete all courses and requirements listed below unless otherwise indicated.
Identifiers
- IPEDS UNITID
- 167358
- CourseShelf checklist
- CK_167358_43a34404
- CollegeTransfer.Net
- Institution Transfer Profile
- Source
- CourseShelf publish 61
Requirements to complete
Every course or condition the catalog lists, in the catalog's order.
Core Requirements
major core · 4 items
- 4
- 4
- 4
- 4
Coursework Option
1 item
- Complete 16 semester hours from the electives course list below.Not resolved to a course16
Project Option
2 items
- 4
- Complete 12 semester hours from the electives course list below.Not resolved to a course12
Thesis Option
3 items
- 4
- 4
- Complete 8 semester hours from the electives course list below.Not resolved to a course8
In addition to completing the thesis course, students must successfully complete the thesis submission process, including securing committee and Graduate School of Engineering signatures and submission of an electronic copy of their MS thesis to ProQuest.
0 items
Electives
electives · 0 items
Complete courses from any of the following subject codes:
0 items
CSYE
0 items
DAMG
0 items
INFO
0 items
TELE
0 items
Optional Co-op Experience
0 items
Complete the following (students must complete ENCP 6000 to qualify for co-op experience):
2 items
- 1
- or: ENCP 6954 Co-op Work Experience - Half-Timeor: ENCP 6955 Co-op Work Experience Abroad - Half-Timeor: ENCP 6965 Co-op Work Experience Abroad0
Source. Northeastern University, catalog Catalog 2026-2027 — https://catalog.northeastern.edu/graduate/engineering/multidisciplinary/data-architecture-management-ms-sea/. Captured page pages/0686.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.