Analytics

Degree:
Location: Anywhere

Why Analytics?

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. 

    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 program prepares 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.


    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

    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

    Visa Eligible

    No