Bio-Health Informatics is a professional diploma offering practical insights into Bioinformatics and Health Informatics for life sciences graduates and researchers with emphasis on clinical applications. Given the high demand and availability of the wide range of biological data being generated to answer scientific questions, it has become necessary to have the skills and knowledge to understand, analyze and interpret these data in a professional manner. Bio-health Informatics diploma with its diverse courses provides students with skills required to meet these needs.

Our vision is to prepare graduates to work on state-of-art research projects and conduct analysis for the currently available massive clinical and biological data on their own. Bridging the gap between biologists and computer scientists is our main challenge, where both groups can stand on a common solid background and be able to grasp both ends of Bioinformatics and Health Informatics.

During their study, students will gain all the required knowledge starting with the necessary knowledge needed for biologists or computer scientists. This knowledge includes statistical analysis methods, computational methods for drug design, programming using certain languages, digital health records, and solutions to the concepts and implementation of precision medicine.

Practical skills are another pillar of this diploma. Students will be able to use computational tools and programs, developing individually customized work pipelines, cheminformatics, and biological structures visualization, choosing the appropriate statistical tests for a given study, R programming, data visualization upstream and downstream analysis for ‘omics data, and Health Informatics implementation and database design.

Graduates will be equipped with all theoretical knowledge and practical skills needed to compete in Bio-Health Informatics jobs in both research and industrial aspects.

Examples of career opportunities for the diploma graduates include working as Biomedical Software Engineer, Bioinformatics Scientist, Health Informatics Analyst, Clinical Informatics Analyst, and Healthcare Data Analyst and several other options.

For Bioinformatics Scientists

You will be able apply computational methods in order to find hidden insights and understand in more depth living biological systems, which in return enhance healthcare systems. You will be familiar with all state-of-art applicatons of using AI and Data Science in health.

For Bioinformatics Engineer

You will be able to develop novel computational methods needed by Bioinformatics users and scientsts and contribute in building all required healthcare management systems used by hospitals. Additonally, you will apply big data and AI for beter diagnosis and treatment of diseases.

For more information about the prgram, watch the following videos:

Who Can Apply

We accept those with any scientific BSc certificate, including faculties of:

  • Medicine
  • Pharmacy
  • Dentistry
  • Science
  • Veterinary Medicine
  • Physiotherapy
  • Computer Sciences
  • Agriculture

Program Outline

Foundation Courses

Course Credit Hours
For non-Biology/Medical Background Students: Principles of Molecular Biology 3
For non-CS/Engineering Background Students: Principles of Biostatistics and Programming 3

Semester 1

Course Credit Hours
Introducton to Clinical Bioinformatics 3
Clinical Omics Analysis for Precision Medicine 3
Pharmaceutical Bioinformatics and Drug Discovery 3

Semester 2

Course Credit Hours
Programming for Analysis and Visualization of Biological Data 3
Artificial Intelligence and Big Data in Healthcare 3
Digital Health and Clinical Informatics 3
Systems Biology (2nd Batch) 3

Program Project

Capstone Project

Program Instructors

Program Fees

Programme fees is EGP 25,000 (other accepted currencies are; United States Dollar (USD), Euro (EUR) and Pound sterling (GBP).

What you are waiting for?

Program Full Catalogue