Our Eligibility Criteria

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Eligibility Criteria

Min. Master's Degree

Credit Hours

54 Hours

Course Duration

3-5 Years (Self-Paced) Program

Courses Offered

9

Courses Offered In DOCTORATE DEGREE

  • Courses Name

  • Courses Description

  • Credit Hours

  • 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.

  • 6 Credits

  • 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.

  • 6 Credits

  • 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.

  • 6 Credits

  • Preparatory Thesis I

  • 6 Credits

  • Preparatory Thesis II

  • 6 Credits

  • Preparatory Thesis III

  • 6 Credits

  • Preparatory Thesis IV

  • 6 Credits

  • Preparatory Thesis V

  • 6 Credits

  • Dissertation

  • 6 Credits
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Course Details

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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