Analytics

Degree:
  • Master's
Location: Anywhere

Why Analytics?

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. They propose an effective path to resolution of an analytical problem that may be complicated by the competitive environment, opposing interests, and divergent or uncertain data and information.

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.


More Details

Unique Features

  • 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

Program Objectives

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 skillset upon which to layer more specialized technical skillsets 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

General Requirements

Master of Professional Studies in Analytics General Requirements
ALY 6000 - Introduction to Analytics
3.00
ALY 6010 - Probability Theory and Introductory Statistics
3.00
ALY 6015 - Intermediate Analytics
3.00
ALY 6050 - Introduction to Enterprise Analytics
3.00
ALY 6070 - Communication and Visualization for Data Analytics
3.00

Experiential Learning Course

ALY 6080 - Integrated Experiential Learning
3.00

Experiential Capstone Course

ALY 6980 - Capstone
3.00

Electives

Complete three of the following:

ALY 6020 - Predictive Analytics
3.00
ALY 6030 - Data Warehousing and SQL
3.00
ALY 6040 - Data Mining Applications
3.00
ALY 6050 - Introduction to Enterprise Analytics
3.00
ALY 6060 - Decision Support and Business Intelligence
3.00
ALY 6100 - Data-Driven Decision Making
3.00
ALY 6110 - Data Management and Big Data
3.00
ALY 6120 - Leadership in Analytics
3.00
ALY 6130 - Risk Management for Analytics
3.00
ALY 6140 - Analytics Systems Technology
3.00
ALY 6150 - Healthcare/Pharmaceutical Data and Applications
3.00
ALY 6160 - Business Intelligence in Healthcare/Pharmaceutical
3.00
ALY 6983 - Topics
3.00
ITC 6045 - Information Technology Policy, Ethics, and Social Responsibility
3.00
ITC 6310 - Information Security Governance
3.00
GIS 5201 - Advanced Spatial Analysis
3.00
ITC 6020 - Information Systems Design and Development
3.00
LDR 6110 - Leading Teams
3.00
PJM 6015 - Project Risk Management
3.00
PJM 6005 - Project Scope Management
3.00
PJM 6125 - Project Evaluation and Assessment
3.00
LDR 6135 - Ethical Leadership
3.00
PJM 6180 - Project Stakeholder Management
3.00

INPS 5184 Interdisciplinary Professional Foundations

Concentrations

Concentration in Statistical Modeling
ALY 6110 - Data Management and Big Data
3.00
ALY 6020 - Predictive Analytics
3.00
ALY 6040 - Data Mining Applications
3.00
ALY 6983 - Topics
3.00
GIS 5103 - Foundations of Geographic Information Science
4.00
Concentration in Evidence-Based Modeling
ALY 6060 - Decision Support and Business Intelligence
3.00
ALY 6100 - Data-Driven Decision Making
3.00
ALY 6120 - Leadership in Analytics
3.00
ALY 6040 - Data Mining Applications
3.00
ALY 6130 - Risk Management for Analytics
3.00
Concentration in Informational Design
ALY 6030 - Data Warehousing and SQL
3.00
ALY 6040 - Data Mining Applications
3.00
ITC 6015 - Enterprise Information Architecture
3.00
ITC 6020 - Information Systems Design and Development
3.00
ALY 6060 - Decision Support and Business Intelligence
3.00

Did You Know?

Advanced degree holders earn an average 35% higher salary than those with a bachelor's degree (State Higher Education Executive Officers, 2012).

Did You Know?

By 2022, 18% of jobs will require a master's degree (U.S. Bureau of Labor Statistics).

Average Time to Completion

2-3 Years

Commitment

Full-Time
Part-Time

Entry Terms

Fall
Spring
Winter

Meets F-1 Visa Requirements

No