Applied Analytics

Degree:
  • Certificate
Location: Portland
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Why Applied Analytics?

With the proliferation of data across all sectors of the global economy, there is an immediate need for individuals to be knowledgeable in harnessing data for continuous analysis and study. The Graduate Certificate in Applied Analytics prepares students to draw on analytical findings to make key decisions in an organization’s strategy.

In a global environment characterized by digital transformation, rapid change, and high levels of uncertainty, the ability to hire, reskill, and upskill analytic talent is a major driver of organizational performance. The Graduate Certificate in Applied Analytics will prepare students to develop analytical skills that will support decision-making in an organization’s strategy. The certification focuses on analytical, technological, and human literacies—with an emphasis on experiential learning—required for students to serve as strategic business partners in their organizations.

A total of 18 credit hours are required to complete the analytical certification program.

All Roux Institute programs provide content relevant to the urgent and emerging needs of industry in Maine and the rapidly evolving regional, national, and global economy. Opportunities for experiential learning will be concentrated in Portland, the state of Maine, and the Northeast region. Students are encouraged to pursue co-ops and special virtual Experiential Network projects with the institute’s founding corporate partners, a group of leading employers in Maine.


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Unique Features

  • Program is stackable, allowing for students to take a course as a nondegree professional development option, take a series of courses to earn a certificate, or earn a certificate and stack up to 18 quarter hours (six courses) into the Master of Professional Studies in Analytics.
  • Graduates of the certificate will also be eligible for the Double Husky Scholarship, which provides 25% off tuition for the master's program.
  • The program is delivered through a hybrid model of online and on-site learning.

Program Objectives

  • Demonstrate the foundational knowledge and skills critical to pursue data analytics as a profession in relation to statistics and math.
  • Articulate and effectively defend the significance and implications of work in data analytics in terms of challenges and trends in a local, national, or global context.
  • Demonstrate the knowledge of advanced tools in data analytics.
  • Articulate and effectively defend the significance of leadership, governance, and ethics in data analytics in terms of challenges and trends in a local, national, or global context.
  • Apply the principles, tools, and methods of analytics to a comprehensive real-world problem or project related to data analyses for tactical and/or strategic decision-making.
  • Integrate the major theories, tools, and approaches in data analytics to identify data-driven insights for informed business process management.
  • Design and deliver presentations, reports, and recommendations that effectively translate technical results/data solutions and are coherent and persuasive to different audiences.

Career Outlook

Graduates will have the skills to understand and analyze data. Those who are data-literate are needed and valued across all industries, departments, and seniority levels, making careers in analytics a potentially lucrative one for people of all backgrounds.

In-demand data-oriented careers include business intelligence analyst, business/management analyst, compensation/benefits analyst, financial analyst, HRIS analyst, and operations analyst.


What you'll study

General Requirements

Graduate Certificate in Applied Analytics General Requirements

Required Core Courses

ALY 6000 - Introduction to Analytics
3.00
ALY 6010 - Probability Theory and Introductory Statistics
3.00
ALY 6015 - Intermediate Analytics
3.00
ALY 6070 - Communication and Visualization for Data Analytics
3.00
 

Electives

Complete two 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 6110 - Data Management and Big Data
3.00

This program requires successful completion of a minimum of 18 credit hours that meet the degree requirements.

Average Time to Completion

1 year

Commitment

Full-Time
Part-Time

Entry Terms

Fall
Spring
Summer
Winter

Meets F-1 Visa Requirements

No