Advance HR Knowledge Through Research and Innovation

Pursue cutting-edge research in human resource management, organizational behavior, and strategic workforce planning to influence business and academic leadership globally.

Lead and Innovate in HR Management

The PhD in Human Resource Management is designed for professionals aiming to contribute to academic research, policy-making, and high-level HR leadership. The program emphasizes advanced theories in organizational behavior, strategic HR, talent management, and workforce analytics, preparing students to address complex workforce challenges. Graduates can pursue careers as University Professors, HR Directors, Organizational Development Consultants, Research Analysts, or Policy Advisors. The program equips students with advanced research, analytical, and leadership skills, enabling them to design innovative HR strategies, conduct impactful research, and influence organizational performance and policy decisions in diverse industries worldwide.

Detailed Information About The Course

Qualitative and Quantitative Research

The course presents a comprehensive and balanced introduction to both qualitative and quantitative approaches to social research with an emphasis on the benefits of combining various approaches.

Preparing a Thesis

This course combines the practical guidance and theoretical understanding students need to complete their theses or dissertations with maximum insight and minimum stress. The course offers useful strategies for each phase of the writing process, from choosing advisors and identifying topics through writing, revision, and review.

Econometrics

Econometrics course reflects modern theory and practice, with interesting applications that motivates and matches up with the theory to ensure students grasp the relevance of econometrics. The course comprises real-world questions and data into the development of theory, with serious treatment of the substantive findings of the resulting empirical analysis.

Preparatory Thesis I

Preparatory Thesis II

Preparatory Thesis III

Preparatory Thesis IV

Preparatory Thesis V

Dissertation

460+

Graduates past year

78%

Received Financial Assistance

90+

Job Opportunities

42

Expert Faculty Members

Why Choose Us

01

Industry-Relevant Curriculum

Our courses are designed with direct input from industry experts, ensuring that the skills you gain are current, practical, and aligned with real-world demands. You’ll graduate with knowledge that employers are actively seeking, giving you a competitive edge in the job market.

02

Flexible Learning Experience

We understand that every student has unique needs and commitments. That’s why our programs offer flexible schedules, online access, and personalized learning paths, allowing you to balance education with your career and personal life.

03

Expert Faculty & Support

Our dedicated faculty members bring both academic excellence and professional experience to the classroom. Combined with comprehensive student support services, you will have the guidance, mentorship, and resources you need to succeed at every stage of your learning journey.

We’ve Got Your Back, Every Step of the Way

At CUO, you’re never alone on your academic journey. From day one, you’ll have access to dedicated academic advisors, career counselors, writing and research support, peer tutoring, and mental health resources. Our online learning environments are designed to be interactive and collaborative, ensuring a smooth educational experience. Plus, you’ll benefit from networking events, industry guest lectures, and career workshops that prepare you for life beyond graduation.

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Make Quality Education Affordable

We believe that financial constraints shouldn’t hinder your future. CUO offers a range of merit-based, need-based, and international student scholarships for accounting majors. You may qualify for up to 80% tuition coverage based on your academic achievements or financial need. Additional scholarships are available for working adults, women in business, and underrepresented communities. Apply early to secure your financial aid and make your accounting degree more accessible than ever.

Explore Scholarship Plans

What You Need to Enroll In This Program

Eligibility Criteria

Min. Master's Degree

Course Fee

$42,120

Credit Hours

Depends on subjects

Duration of Program

3-5 Years (Self-Paced) Program

What Our Students Say

From classroom learning to career breakthroughs, our students have seen it all. Their success stories highlight the impact of our teaching, support, and industry preparation.

“This course gave me a strong foundation and the flexibility to learn at my own pace. The faculty support was amazing!”
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Sarah Malik B.A. in Economics
“The course structure was practical and helped me apply knowledge directly in my job. Truly career-transforming!”
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Ahmed Khan Master’s in Finance
“Loved the flexibility and the focus on real-world examples. It made learning engaging and meaningful.”
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Ayesha Rauf Financial Analyst Trainee
“The instructors went above and beyond to ensure we understood concepts. I feel fully prepared for the next step in my career.”
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Daniel Joseph Associate in Marketing
“The resources and mentorship I received made this journey smooth. A brilliant learning experience!”
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Fatima Noor Ph.D. Candidate in Management
“The balance of theory and practical application was perfect. This course truly added value to my professional skillset.”
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Omar Shah Certificate in Data Analytics
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Course
Information

Copyright © 2025 Crestwood University of Ohio (CUO)

Qualitative and Quantitative Research

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    The process of conducting research
    Quantitative and qualitative approaches
    Identifying a research problem
    Reviewing the literature
  In Section 2 of this course you will cover these topics:
    Specifying a purpose and research questions or hypotheses
    Collecting quantitative data
  In Section 3 of this exam you will be evaluated on below listed topics:
    Analyzing and interpreting quantitative data
    Collecting qualitative data
  In Section 4 of this course you will cover these topics:
    Analyzing and interpreting qualitative data
    Reporting and evaluating research
    Experimental designs
  In Section 5 of this course you will cover these topics:
    Correlational designs
    Survey designs
    Grounded theory designs
    Ethnographic designs
    Narrative research designs
    Mixed methods designs
    Action research designs

Preparing a Thesis

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    The research process.
  In Section 2 of this course you will cover these topics:
    Citing sources and academic honesty.
  In Section 3 of this exam you will be evaluated on below listed topics:
    Direct quotations.
  In Section 4 of this course you will cover these topics:
    Works cited and references.
  In Section 5 of this course you will cover these topics:
    Writing with precision.

Econometrics

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Economic questions and data
    Review of probability
    Review of statistics
  In Section 2 of this course you will cover these topics:
    Linear regression with one regressor
    Regression with a single regressor: hypothesis tests and confidence intervals
    Linear regression with multiple regressors
  In Section 3 of this exam you will be evaluated on below listed topics:
    Hypothesis tests and confidence intervals in multiple regression
    Nonlinear regression functions
    Assessing studies based on multiple regression
  In Section 4 of this course you will cover these topics:
    Regression with panel data
    Regression with a binary dependent variable
    Instrumental variables regression
  In Section 5 of this course you will cover these topics:
    Experiments and quasi-experiments
    Introduction to time series regression and forecasting
    Estimation of dynamic causal effects
    Additional topics in time series regression
    The theory of linear regression with one regressor
    The theory of multiple regression