PlusOne with MS in Data Analytics Engineering
PlusOne with MS in Data Analytics Engineering
Overview
PlusOne 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 undergraduate students apply to enroll in the PlusOne program.
With the PlusOne program, students attain their bachelor’s degree followed by a PlusOne year to complete the master’s degree.
Benefits
- Accelerate learning – get your master’s in one year vs. typically two
- Reduce costs – apply some courses toward both your undergrad and master’s degrees, and get the MS for PlusOne tuition scholarship
- Gain a competitive edge – stand out with an advanced 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.
PlusOne with MS in Data Analytics Engineering Pathways
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 5317 |
| 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) |
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 6400 | Foundations for Data Analytics Engineering** | 4 SH |
| IE 7275 | Data Mining in Engineering** | 4 SH |
Select remaining shared courses from the following range:
In addition to IE 6200 and IE 7275, students may choose up to two other approved 5000 or 6000 level Elective classes or Core Requirement courses as listed in the catalog
**Equivalent courses may be substituted
Program Contacts
x.jin@northeastern.edu
data mining, data management, mathematical methods, machine learning, data analytics, emotion detection, remote sensing, atmospheric compensation, data analytics engineering student organization (DAESO)
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 of Engineering.