With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in how to harness this data for continuous analysis and study. This spectrum spans from commercial to nonprofit, from higher education to government, and is constantly expanding with new sectors as data mining becomes the standard for knowledge gathering in the digital age.
The Master of Professional Studies in Analytics helps to meet the demand from employers with a graduate program that provides students with an end-to-end analytics education through a core curriculum with integrated experiential learning opportunities. The program is designed to prepare students with a deep understanding of the mechanics of working with data (i.e., its collection, modeling, and structuring), along with the capacity to identify and communicate data-driven insights that ultimately influence decisions.
Not only will students graduate with a portfolio of work samples that demonstrate their range and depth of skill, they will be part of a larger network of analytics professionals who will serve them now and in the future.
- Build portfolios of real-world projects demonstrating competency with key technologies, visualization and communication techniques, and the ability to translate information into recommended actions.
- Gain a core analytical skill set upon which to layer more specialized technical skill sets or industry-specific applications.
- Develop a relationship to industry leaders and peers so that you may leverage your Northeastern education long after your formal education ends.
- Choose from a host of flexible programming options—all of which share an industry-defined core curriculum and a required, credit-bearing experiential requirement.
- Anticipate and contribute to the future direction of data analytics.
Complete all courses and requirements listed below unless otherwise indicated.
Required Courses
Course List | Code | Title | Hours |
| |
| ALY 6000 | | 3 |
| ALY 6010 | | 3 |
| ALY 6015 | | |
| ALY 6050 | | 3 |
| ALY 6070 | | 3 |
| ITC 6000 | | 3 |
Experiential Learning Course
Course List | Code | Title | Hours |
| ALY 6080 | | 3 |
Experiential Capstone Course
Course List | Code | Title | Hours |
| ALY 6980 | Capstone | 3 |
The remaining quarter hours of the program may be completed by a combination of completing a concentration and additional electives or selecting any courses listed in the concentrations and elective list.
Concentrations
Electives
Course List | Code | Title | Hours |
ALY 6020 | | |
ALY 6030 | | |
ALY 6060 | | |
ALY 6110 | | |
ALY 6120 | | |
ALY 6130 | | |
ALY 6140 | | |
ALY 6150 | | |
ALY 6160 | | |
| Topics | |
| Quantitative Methods | |
| Foundations of Professional Communication | |
COP 6940 | | |
EAI 6000 | | |
EAI 6010 | | |
EAI 6020 | | |
EAI 6400 | | |
EDU 6184 | | |
GIS 5201 | | |
ITC 6020 | | |
ITC 6045 | | |
ITC 6310 | | |
LDR 6110 | | |
LDR 6135 | | |
PJM 6015 | | |
PJM 6125 | | |
PJM 6180 | | |
Program Credit/GPA Requirements
45 total quarter hours required
Minimum 3.000 GPA required
Applied Machine Intelligence
Course List | Code | Title | Hours |
| ALY 6040 | | 3 |
| ALY 6110 | | 3 |
| EAI 6000 | | 3 |
| EAI 6010 | | 3 |
| EAI 6020 | | 3 |
Evidence-Based Management
Course List | Code | Title | Hours |
| ALY 6040 | | 3 |
| ALY 6060 | | 3 |
| ALY 6120 | | 3 |
| ALY 6130 | | 3 |
| PJM 6005 | | 3 |
Statistical Modeling
Course List | Code | Title | Hours |
| ALY 6020 | | |
| ALY 6030 | | 3 |
| ALY 6040 | | |
| ALY 6110 | | 3 |
| ALY 6140 | | 3 |
