The Master of Science, MS, degree in Software Engineering Systems (formerly Computer Systems Engineering) takes a sociotechnical, engineering approach to software. This engineering foundation is designed to enable master’s students to embrace real-world complexity as a golden opportunity, especially for the more technically advanced student.
Innovative Curriculum - MS in Software Engineering Systems
Our master’s in software engineering systems program offers a multitude of courses in big-data engineering and analytics in addition to supplementary courses with the intention to deliver data-analytics results in a meaningful way to management.
The program covers data management, advanced data management, business intelligence, column databases, data science, and big-data engineering.
Advanced functional programming using the powerful Scala language and a course on advanced data science as well as cloud computing is offered. Multi-thread 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 a hundredfold increase in speed. Due to the high-level mathematical operations required to run these programs, only software engineers have the capacity to work in such complicated areas. Only they can make the necessary mathematical algorithms execute quickly enough to get the finest results.
Our engineers become fluent in data science with the intention of building the actual system. They study how to write machine-learning algorithms on top of statistical packages.
- The fundamentals of logical computing formulation and program construction as well as the mathematical modeling and analysis of algorithms—an essential aspect of data science analytics.
- Clustering techniques, along with topic modeling and classification and logical regression techniques, as well as Bayesian statistics.
- How to configure and operate a Hadoop environment (large clusters of commodity hardware) and in the process how to integrate data from diverse sources, to move and manage data through big-data platforms (in-house or in the cloud). Data ingestion, the filtering and firing of millions of operations to run over large clusters of commodity hardware, is a software-engineering technique that we teach our students how to perform through Scala, multi-threading, Spark programming, and “map-reduce” techniques.
- How to make the business case for analytics projects and how to follow an execution road map that involves understanding the architectures underpinning such gigantic platforms as well as the resourcing and cost issues.
The MS programs’ student learning outcome is the ability to use basic engineering concepts flexibly in a variety of contexts.
Over 15 graduate certificates are available to provide students the opportunity to develop a specialization in an area of their choice. Certificates can be taken in addition to or in combination with a master’s degree, or provide a pathway to a master’s degree in Northeastern’s College of Engineering. Master’s programs can also be combined with a Gordon Engineering Leadership certificate. Students should consult with their faculty advisor regarding these options.
Gordon Institute of Engineering Leadership
Master’s Degree in Software Engineering Systems with Graduate Certificate in Engineering Leadership
Students may complete a Master of Science in Software Engineering Systems in addition to earning a Graduate Certificate in Engineering Leadership. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. The program requires fulfillment of the 16-semester-hour curriculum required to earn the Graduate Certificate in Engineering Leadership, which includes an industry-based challenge project with multiple mentors. The integrated 32-semester-hour degree and certificate will require 16 hours of advisor-approved software design engineering technical courses.
We are committed to shaping our MS in Software Engineering Systems students to be intuitive problem solvers, experienced engineering architects, and result leaders who will have a great impact at the exciting three-way intersection of computer science, engineering, and ethics.
For support with academic questions, contact the student services representative assigned to this program.
Admissions & Aid
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