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Human Resource Analytics (MS)

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Human Resource Analytics (MS) – STEM Designated Degree Program

The Human Resources function has evolved greatly in recent years, as organizations seek to enable their employees to thrive in terms of productivity, innovation and work-life balance. In order to meet those needs, leaders increasingly rely on HR data and analysis to help them develop insights and strategies for attracting, managing and retaining talent.

Our 30-credit STEM-designated Master’s program in Human Resources Analytics was designed to provide students with a unique balance of HR management, technical and analytical skills. Whether you are an HR professional seeking to understand the types of problems and opportunities that may be addressed through the application of analytics tools and techniques, or someone seeking to enter the Human Resources field, you will come away with a thorough understanding of the major functional areas of the modern Human Resources organization and how data may be deployed to manage and support them for optimal results.

The program’s content provides an intensive grounding in business analytics and their application in HR settings and functions, alongside graduate-level courses in HR Management. The program’s capstone practicum course is designed to deliver experiential learning via real-world projects, that pairs student teams with organizations seeking assistance with HR challenges.

Jobs and career opportunities for graduates are many as Human Resources organizations strive to add “people analytics” skills to their repertoires, along with processes for collecting and using data to help in making decisions and improving returns on investment in everything from employee benefits and compensation to training, communications and recruiting.

If you are interested in expanding your HR career potential and upgrading your knowledge and applied analytics skills, our specialized Master’s program will help you stand out in the field and achieve your professional development goals.

This program is offered in two delivery formats:

  • Asynchronously Online – Earn your degree online wherever you are – Fall and Spring starts.
  • Blended – A mix of in-person courses, fully asynchronous online courses and hybrid courses – Fall and Spring starts.

Please refer to our programs of study page for a comprehensive list of all of the graduate programs offered within the university.

Admission Requirements

This program is open to students with interdisciplinary backgrounds.

The Office of Graduate Admissions requires the equivalent of a U.S. bachelor’s degree in order to be eligible to apply for a graduate program. Applicants with non-U.S. degrees, please visit the International Applicants page to review the U.S. degree equivalency information.

Newly Accepted students to this program are required to successfully complete an online Basic Statistics Foundation Module prior to beginning the program and registering for program courses. The Basic Statistics Module is an online self-paced module (which you can anticipate will take 25-30 hours to complete) that serves to renew and/or update statistics knowledge in order to be prepared and successful in your program.

Application Checklist

In order to make applying for graduate school as seamless as possible for you, we have
created an application checklist. This checklist can be a reference point for you during the
application process to ensure that you have a comprehensive understanding of the steps
needed to apply, as well as all corresponding supplemental materials for your specific
program of interest.

  • Application Deadline: Rolling Admission.
    • Priority Deadline: May 1st for Fall admission.  Applications that are complete as of the May 1st deadline will receive priority review, and can expect an admissions decision by May 16th or sooner.  Applications completed after the priority deadline will be reviewed on a rolling basis until the program is full.
    • Priority Deadline: November 1st for Spring admission. Applications that are complete as of the November 1st deadline will receive priority review, and you can expect an admissions decision by November 16th or sooner. Applications completed after the priority deadline will be reviewed on a rolling basis until the program is full.
  • Submit Online Application: Please create your online account and submit your application by following the general application instructions and pay (or waive) the non-refundable $60 application fee. Once this step has been completed, the online portal will allow you to upload your supplemental materials.

The following is a list of the supplemental materials that will accompany your application for the Human Resource Analytics (MS) program:

  • Transcript: One from each college attended.
  • Essays/Personal Statement:
    • Please explain how pursuing a graduate program in human resources analytics is a fit with your work and educational background.  If you plan to change careers, please describe your interest in human resources analytics and why you believe the program is right for you academically and professionally.
    • What are your career aspirations and what do you hope to gain from this program upon graduation?
  • Resume: Required.
  • Letters of Recommendation: Two.
  • Applicants with non-U.S. degrees, please visit the International Applicants page to review the US degree equivalency information.
Curriculum

View the curriculum information for the Human Resource Analytics (MS) program.

Contact

If you have any general questions regarding the application process and requirements, please email or call us:

Office of Graduate Admissions
Email: graduate@montclair.edu
Telephone: 973-655-5147
Fax: 973-655-7869

If you have specific inquiries regarding your program of interest, please contact the Human Resource Analytics (MS) Program Coordinator:

Program Coordinator: Lisa Brooks Greaux
Office:
School of Business
Email: brooksgreaul@montclair.edu

Phone: 973-655-4269

*During the summer months, there will be a rotating department chair available to answer your inquiry. Click to find the updated summer chair for this program.*