PlusOne with MS in Data Analytics Engineering

PlusOne with MS in Data Analytics Engineering

Overview

Accelerated Master’s degrees allow students to accelerate the attainment of the master’s degree by applying graduate credits taken as an undergraduate toward both the undergraduate and graduate degrees. Current students apply to enroll in the Accelerated Master’s Program.

With the PlusOne program, students attain their bachelor’s degree followed by a PlusOne year to complete the master’s degree.

Below are the eligible undergraduate majors available to pursue a PlusOne pathway with a master’s degree in Data Analytics Engineering. Also, review the Accelerated Master’s link for further details, including program policies and procedures, as well as how to Apply.

Acceptable Undergraduate Pathways

Eligible Undergrad Majors Additional Prerequisites
BS in Bioengineering (and all combined majors)
BS in Chemical Engineering (and all combined majors)
BS in Civil Engineering (and all combined majors)
BS in Computer Engineering (and all combined majors)
BS in Electrical Engineering (and all combined majors)
BS in Environmental Engineering (and all combined majors)
BS in Industrial Engineering
BS in Mechanical Engineering (and all combined majors)
BS in Biology (COS)
BS in Business Administration (DMSB) MATH 2341, IE 4XXX*
BS in Chemistry (COS)
BS in Computer Science (Khoury)
BS in Economics (CSSH) MATH 2341
BS in Environmental Science (COS)
BS in Math (COS)
BS in Physics (COS)

*IE 4XXX will be a course on Computational Methods for Industrial Engineering

Graduate Course Sharing

Students currently pursuing their Bachelor’s degree should refer to their undergraduate program’s guidelines on how the graduate courses can be shared with their undergraduate degree. College of Engineering undergraduate students should refer to their Plan of Study page.

For other questions on graduate course sharing, please contact Graduate School of Engineering Advising.

Complete the following:

IE 6200 Engineering Probability and Statistics** 4 SH
OR 6205 Deterministic Operations Research** 4 SH

Select remaining shared courses from the following range:

Any approved EMGT, IE, or OR 5000 and 6000 level class as listed in the catalog

**Equivalent courses may be substituted

Program Contacts


Sagar Kamarthi
Sagar Kamarthi
Professor,  Mechanical and Industrial Engineering
Director of Data Analytics Engineering Program,  MS in Data Analytics Engineering
Founder & Advisor of Advanced and Intelligent Manufacturing,  MS in Adv. & Int. Mfg.

Sensing, diagnostics and prognostics for manufacturing machines and equipment, AI for smart and sustainable manufacturing and manufacturing systems integration, Machine learning models for personalized medicine and healthcare, Computational methods for pain assessment physiological sensing systems, Engineering education, personalized learning, and mass-customized instruction model

Academic Advising

For support with academic questions, students should reach out to their undergraduate academic advisor in their home college as well as the Graduate School by emailing coe-gradadvising@northeastern.edu for more information about the PlusOne pathway of interest within COE.