Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age. Analysts articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national, or global context.
The Master of Professional Studies in Analytics helps to meet the increasing demand from employers by teaching the competencies that define an analyst's ability to demonstrate the application of the knowledge, skills, and dispositions through behavior that is directly related to performance goals: statistics/mathematics, analytics systems technology, business intelligence, advanced analytics, business process/ management, business analytics agility, communicating with data, and leadership/data governance, policy, and ethics.
The Master of Professional Studies in Analytics program prepares students by applying the principles, tools, and methods of analytics to a project within a sponsoring organization to successfully assist with the extraction, development, delivery, and/or translation/implementation of data analysis for tactical and/or strategic decision making in organizations.
- Graduate with a portfolio of work samples that demonstrate your range and depth of skill
- Be part of a larger network of analytics professionals
- Online, interactive program allows for flexibility for working professionals
- This is a STEM-designated graduate degree
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 credit-bearing experiential requirement.
- Anticipate and contribute to the future direction of data analytics.
What you'll study
Note: ITC 6000 is for students without prior educational or professional experience with data and database structures. Students who do not complete ITC 6000 must complete a third elective course to reach 45 quarter hours.
Experiential Learning Course
Experiential Capstone Course
Complete a minimum of two courses to reach 45 quarter hours:
This program requires successful completion of a minimum of empty credit hours that meet the degree requirements.