Overview

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Goals

  • Provide students with an understanding of the relationship between biostatistics, epidemiology and data science.

  • Develop the students’ knowledge of contemporary problems and opportunities in epidemiology.

  • Provide students with the ability to design, conduct and interpret clinical research and studies. 

  • Promote in students an understanding of the role of data science and artificial intelligence in epidemiology and healthcare. 

  • Enable the student to apply fundamental knowledge and skills of data science to find solutions to epidemiological challenges.

  • Strengthen student’s ability to conduct quantitative and qualitative research in epidemiology to improve public health.

Career of Graduates

Graduates of this program are expected to be qualified to work in different fields such as:

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Program Learning Outcomes

Upon completion of this program, students should be equipped with comprehensive knowledge, skills, and abilities to excel in their endeavors.

Epidemiology, Biostatistics & Data Science

Demonstrate knowledge of current issues in epidemiology, biostatistics and data science.

Big Data & Data Science in Healthcare

Examine the growth of big data in healthcare and evaluate the many uses of data science in epidemiology.

Clinical Research & Advanced Analysis

Lead clinical research efforts and use advanced epidemiologic and biostatistical methods in analysis of clinical research and studies.

Health Data Mining & Analysis

Utilize data science tools and techniques to mine and analyze large sets of health data.

Public Health Challenges & Strategies

Assess emerging challenges in epidemiology and develop strategies that will improve public health.

Epidemiologic Research & Data Interpretation

Conduct research on questions in epidemiology, interpret and analyze data using statistical software and communicate results effectively.

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Regestration opend

Sunday, May 19, 2024

Ph.D.
Faculty of Graduate Studies
Campus
Ramallah Campus
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Honored by your visit

Girl in a jacket Sunday to Thursday

Girl in a jacket 8:00 to 16:00

Where can you find us?

Girl in a jacket Deanship of Admission and Registration building (DAR)

Girl in a jacket Near Gate 3, opposite the main Cafeteria

Call us

Girl in a jacket 00970-4-2418888, Ext. 3

Girl in a jacket 00970-4-2510814

Write to us

Girl in a jacket [email protected]

Honored by your visit

Girl in a jacket Sunday to Thursday

Girl in a jacket 8:00 to 16:00

Where can you find us?

Girl in a jacket Deanship of Admission and Registration building (DAR)

Girl in a jacket Near Gate 3, opposite the main Cafeteria