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 | Introduction to Analytics | 3 |
| ALY 6010 | Probability Theory and Introductory Statistics | 3 |
| ALY 6015 | Intermediate Analytics | 3 |
| ALY 6050 | Introduction to Enterprise Analytics | 3 |
| ALY 6070 | Communication and Visualization for Data Analytics | 3 |
| ITC 6000 | Database Management Systems | 3 |
Experiential Learning Course
Course List | Code | Title | Hours |
| ALY 6080 | Integrated Experiential Learning | 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 electives list.
Concentrations
Program Credit/GPA Requirements
45 total quarter hours required
Minimum 3.000 GPA required
Applied Machine Intelligence
Course List | Code | Title | Hours |
| ALY 6040 | Data Mining Applications | 3 |
| ALY 6110 | Data Management and Big Data | 3 |
| EAI 6000 | Fundamentals of Artificial Intelligence | 3 |
| EAI 6010 | Applications of Artificial Intelligence | 3 |
| EAI 6020 | AI System Technologies | 3 |
Statistical Modeling
Course List | Code | Title | Hours |
| ALY 6020 | Predictive Analytics | 3 |
| ALY 6030 | Data Warehousing and SQL | 3 |
| ALY 6040 | Data Mining Applications | 3 |
| ALY 6110 | Data Management and Big Data | 3 |
| ALY 6140 | Python and Analytics Systems Technology | 3 |
Electives
Course List | Code | Title | Hours |
| Predictive Analytics | |
| Data Warehousing and SQL | |
| Decision Support and Business Intelligence | |
| Data Management and Big Data | |
| Leadership in Analytics | |
| Risk Management for Analytics | |
| Python and Analytics Systems Technology | |
| Healthcare/Pharmaceutical Data and Applications | |
| Topics | |
| Quantitative Methods | |
| Foundations of Professional Communication | |
| Fundamentals of Artificial Intelligence | |
| Applications of Artificial Intelligence | |
| AI System Technologies | |
| Data Governance and Responsible AI | |
| Advanced Spatial Analysis | |
| Information Systems Design and Development | |
| Information Technology Policy, Ethics, and Social Responsibility | |
| Leading Teams Strategically in a Global Environment | |
| Ethical Leadership | |
| Project Risk Management | |
| Project Evaluation and Assessment | |
| Project Stakeholder Management | |
