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Cancer Care Informatics
Completion requirements
Last modified: Saturday, 18 May 2024, 4:59 PM
MSc Cancer Care Informatics (CCI)
Empower the process of cancer care through informatics
About the Program
Launched in 2019, the Master of Science in Cancer Care Informatics (CCI) is a pioneering postgraduate program dedicated to the use of informatics, data, and digital systems to strengthen cancer care. The program combines academic study, multidisciplinary teaching, and applied research to help students improve decision- making, service quality, patient experience, and outcomes across the cancer care continuum. This is a joint program between King Hussein Cancer Center and the University of Jordan, and the degree is awarded jointly by both institutions.
Program Aim
The program aims to graduate qualified professionals who can employ informatics to support and strengthen cancer care within multidisciplinary teams. Graduates are expected to improve the efficiency and effectiveness of cancer care processes while contributing to better patient experience, stronger evidence-based practice, and better outcomes.Learning Outcomes
Graduates of the program will be able to- Critically understand the problems and constraints that may confront cancer care professionals and develop the underlying informatics knowledge and cognitive skills needed to address them.
- Develop critical understanding of the role of information strategy, process architecture, usability, quality management, and requirements engineering in supporting cancer care for both patients and cancer care organizations.
- Apply cancer care informatics principles effectively and responsibly within legal, social, ethical, and professional contexts at national and international levels.
- Demonstrate critical understanding of cancer care decision-making processes and their dependence on timely, reliable, complete, consistent, and accurate information.
- Conduct and appraise advanced research in specialized areas of cancer care informatics using appropriate research methods, frameworks, and tools.
Program Structure
The program consists of 36 credit hours: - Core Courses: 18 credit hours - Elective Courses: 9 credit hours - Master’s Thesis: 9 credit hours- Core Courses (18 Credit Hours)
- Elective Courses (Choose 9 Credit Hours)
- Featured New Module
- Master’s Thesis
- Research Methods and Tooling for Cancer Care Informatics
- Requirements Engineering for Cancer Care Informatics
- Information Strategy and Architecture for Cancer Care Informatics
- Usability and Quality Management for Cancer Care Informatics
- Economics of Cancer Care Informatics
- Legal, Social, Ethical and Professional (LSEP) Issues in Cancer Care Informatics
- Big Data Analytics and Decision Support Systems for Cancer Care
- Integrated Case Studies: Electronic Medical Records Systems (EMRS)
- Integrated Case Studies: Practice Management Systems
- Integrated Case Studies: Clinical Decision Support Systems (CDSS)
- Integrated Case Studies: Personalized/Precision Medicine
- Integrated Case Studies: Cancer Surveillance Systems
- Integrated Case Studies: Clinical Trials Management Information Systems
- Integrated Case Studies: Ancillary and Supportive Systems
- Integrated Case Studies: Digital Cancer Genetic Counselling
- Prompt Engineering & Clinical AI Deployment
Prompt Engineering & Clinical AI Deployment
This new hands-on module is designed to equip students with practical skills in building and deploying clinical AI solutions responsibly. Positioned as a first-of-its-kind offering within the program, it introduces students to large language models (LLMs), safe prompting, retrieval-augmented generation (RAG), model evaluation, cloud deployment, governance, and responsible AI in healthcare.
Delivered across 15 applied sessions, the module covers topics such as: - Foundations of transformers and prompt engineering - Python, GitHub, and data science foundations for AI workflows - OpenAI API use, structured extraction, tool calling, and text-to-SQL - Hugging Face and open-source model workflows - LangChain / LangGraph, tools, and agents for clinical use cases - RAG and clinical document retrieval - Model evaluation, clinical validation, and safety assessment - Django, FastAPI, Azure, and production- oriented deployment - PHI protection, cybersecurity, governance, ethics, and responsible clinical AI - Midterm and capstone projects focused on end-to-end clinical AI solutions
Students complete a 9-credit-hour thesis focused on an original research problem in
cancer care informatics under academic supervision.
Academic leadership
The program is supported by a multidisciplinary group of faculty members, lecturers, and research supervisors from KHCC, the University of Jordan, and collaborating institutions. It is accredited by the Ministry of Higher Education in Jordan.The program is led by:
Dr Iyad Sultan
- Co-Director of the Master in Cancer Care Informatics Chief Health Informatics Officer, King Hussein Cancer Center
- Academic Co-Director of the Master in Cancer Care Informatics Professor of Pharmacogenetics, University of Jordan
Contact Us
We're happy to answer your questions about the program.
Call Us
+962 6 530 0460 ext. 7473 / 2232 / 2230
Email Us
info.cci@khcc.jo
