Graduate Certificate in Learning Analytics

Campus Locations Online
Also available 100% Online Yes
Other Format(s)
Credits Required for Graduation 16
Entry Terms Fall Quarter, Winter Quarter, Spring Quarter, Summer Quarter
Meets International Visa Requirements No

Overview

Educators today are “swimming” in data about curricula, student assessment, social media, registrations and demographics stored in data warehouses and "the cloud." This data makes it possible to collect, manage, and maintain massive amounts of educational information. The need to analyze and make data-based decisions in education has led to the emergence of a new field called Learning Analytics.

Through a set of focused courses, our curriculum will give you the opportunity to:

  • Articulate and integrate diverse perspectives on the field of Learning Analytics, including Learning Analytics assumptions, theories, epistemologies, and debates
  • Align Learning Analytics processes to address the needs of educational institutions and answer questions posed by educational leaders
  • Select, prepare, implement, interpret, and evaluate learning analytic models appropriately

And should you choose, you can apply the credits you earn toward your certificate directly to our Master of Education concentration in learning analytics.

 

Learn more about the value of a Northeastern graduate certificate.


Curriculum

 

Please note: Students who started this program prior to Fall 2017 should follow the curriculum reflected on their DegreeWorks audits via the self-service tab of their myNEU portal.  Please consult your advisor with any questions.

The curriculum for the certificate in learning analytics program consists of four foundational courses.

Required Courses (16 q.h.)

EDU 6340 Learning Analytics Concepts and Theories 4 q.h.
EDU 6341 Introduction to Data Mining in Education 4 q.h. 
EDU 6182 Introduction to Educational Statistics 4 q.h. 
EDU 6343 Predictive Modeling for Learning Analytics 4 q.h.

 

Required minimum credit hours: 16 q.h.


Admissions Requirements

Below are the official Admissions Requirements for this program.

  • Online application
  • Statement of purpose (500-1000 words): identifying your educational goals and expectations from the program; please be aware that the University's academic policy on plagiarism applies to applicant's statement of purpose
  • Professional resume: Current resume that displays job responsibilities, relevant experience, and education history
  • Official undergraduate degree documentation
  • Proof of English language proficiency: ONLY for students for whom English is not their primary language: English language proficiency guidelines

For general admissions information and recommended admissions deadlines, Graduate Admissions.

All requirements must be received prior to review.


Tuition

Estimated total tuition for this program is $8,832.00.

Tuition for individual courses is based on the number of quarter hours. Most courses are 3-6 quarter hours. See Graduate Tuition Rates for details.

Use our Tuition Calculator below to see if transfer credit or tuition reimbursement from your employer could reduce your total tuition.

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Please note: The estimated total tuition is based on tuition rates for Academic Year 2017-18 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time.

*A maximum of 9 quarter hours of graduate- or doctoral-level credit obtained at another institution may be awarded as Advanced Graduate Credit to the Doctor of Education program.


Careers

Graduates of our program have an opportunity to emerge as learning analytics professionals with in-demand knowledge and expertise equipping them for positions in higher education (i.e., institutional research, information technology, and enrollment management), K-12 education (e.g., data divisions in district and state departments of education), educational technology companies and startups, educational think-tanks, and other settings.

Professional pathways for the graduate include (but are not limited to):

  • Data Strategist
  • Institutional Research Analyst
  • Learning Analyst

Learning Outcomes

Learning and Instructional Learning Analytics certificate graduates will have the capacity to:

  • Articulate and integrate diverse perspectives on the field of Learning Analytics, including Learning Analytics assumptions, theories, epistemologies, and debates.
  • Align Learning Analytics processes to address the needs of educational institutions and answer questions posed by educational leaders
  • Select, prepare, implement, interpret, and evaluate learning analytic models appropriately

Talk to an Enrollment Coach

We can walk you through your program options and the application process.

 

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Next Term Starts
  • Fall Undergraduate
    Sep 4, 2017 (7.5- and 15-week classes)
    Oct 10, 2017 (10-week classes)
    Oct 25, 2017 (7.5-week classes)
  • Fall Graduate
    Sep 18, 2017 (6- and 12-week classes)
    Oct 30, 2017 (6-week classes)

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