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Overview

As Big Data’s influence grows in almost every industry, having a fundamental understanding of data literacy can significantly impact your organization and career.

Northeastern’s Undergraduate Certificate in Analytics allows professionals in any field to learn practical project data analytics skills, data structure and management, statistical literacy, and analytical thinking. You’ll also learn today’s in-demand programming and data visualization tools, including R, Python, Tableau, Qlik, and Power BI.

Our convenient and flexible certificate program allows you to add or sharpen data analytics skills, better prepare for entry-level positions, and advance your current career. Plus, your certificate is stackable if you go on to earn your BS in Analytics or BS in Information Technology degree.


More Details

Unique Features

  • Earn your certificate on your schedule—with classes on-campus in Boston, or a mix of online and on-ground courses.
  • Learn in-demand statistical programming and data visualization tools, including R, Python, Tableau, Qlik, and Power BI.
  • Build your resumé as you learn through real-world data analytics projects.
  • Stack your certificate credits into our BS in Analytics or BS in Information Technology and receive two university credentials upon completion of your bachelor’s degree.

Career Outlook

Graduates from the Certificate in Analytics will be prepared to enter entry-level jobs in industries like:

  • Business Analytics
  • Enterprise Analytics
  • Planning Analytics
  • Product Analytics
  • Healthcare Analytics
  • Marketing Analytics
  • Financial Analytics
  • Digital Analytics
  • Workforce Data Analytics

The program also provides working professionals with the opportunity to gain analytics skills and integrate them into any career—beyond data analyst—that involves working with data or analysis.

Curriculum

General Requirements

Undergraduate Certificate in Analytics Required Courses
MTH 1100 - College Algebra 
3.00 

Choose one of the following two courses:

MTH 2400 - Technology and Applications of Discrete Mathematics 
3.00 
PHL 2310 - Symbolic Logic 
3.00 

Take the following five courses:

ALY 2010 - Probability Theory and Introductory Statistics 
3.00 
ALY 2100 - Introduction to Programming for Data Analytics 
3.00 
ALY 3015 - Intermediate Statistics for Data Analytics 
3.00 
ALY 3070 - Communication and Visualization for Data Analytics 
3.00 
ALY 4000 - Analytics Using R 
3.00 

Note: Prerequisites may apply to some of the above courses.

Complete one of the following:

ALY 3040 - Data Mining 
3.00 
ALY 3110 - Big Data and Web Mining 
3.00 
ALY 4020 - Predictive Analytics Using R and Python 
3.00 

Experiential Learning

Northeastern's signature experience-powered learning model has been at the heart of the university for more than a century. It combines world-class academics with professional practice, allowing you to acquire relevant, real-world skills you can immediately put into action in your current workplace. This makes a Northeastern education a dynamic, transformative experience, giving you countless opportunities to grow as a professional and person.

 

Experiential learning hero image

Industry-Aligned Faculty

Our industry-aligned faculty bring relevant real-world experience, knowledge, expertise, and connections that will help you achieve your career goals.

Alice Mello
Assistant Teaching Professor
Uwe Hohgrawe
Professor of the Practice

Admissions

    Fall, Spring, Summer
    Entry terms
    Are you ready to take your career to the next level? If so, take the next step.

Financial Info

The university's financial aid policies are designed to enrich our campus community by ensuring that Northeastern is affordable for all admitted students. The below cost per credit is for non-lab courses. You can find the cost per credit of lab courses by visiting our Tuition and Fees page.

  • $541 Cost Per Credit