Master of Data Analytics in Health Management

Source: https://www.hbku.edu.qa/en/cse/md-analytics-health-management Parent: https://www.hbku.edu.qa/en/cse

College of Science and Engineering

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This program is offered in both standard (2 years) and accelerated (1 year) formats.

The Master of Data Analytics in Health Management (MDA-HM) program is the first of its kind in the world. It aims to train talented scientists and researchers to effectively contribute to the design and implementation of data analytic tools in health care systems in Qatar and beyond. It also aims to equip students with knowledge of the latest advances in the tools and principles of big data handling and analysis and their application in managing the ever-growing health data.

During the course of their studies at CSE, students will undergo specialized training that will equip them to develop advanced and effective strategies and policies to enhance preventive care, reduce per capita cost of patient care, and enhance progress in diagnostics and medical research leading to the development of more efficient healthcare systems. Uniquely, the program will also give students a myriad of opportunities to collaborate with professionals from relevant industrial and government sectors around the world, inspiring the student body with positive qualities of leadership, social consciousness, integrity, and general ethics.

Language

English

Program Duration

2 Years

Certification

Masters

Factsheet

• Program Focus
• Curriculum
• Admissions Requirements

Combining data analytics with health care management or the first time, the MDA-HM program uniquely focuses on educating students on the latest advances in the tools and technologies involved in big data analytics for health management applications. Furthermore, the program aims to train participants in various applied techniques, methodologies, and tools to effectively manage and analyze the constant growth of health data, in order to drive higher productivity in the healthcare sector.

Enrolled students will:

• Develop core knowledge in data analytics. Students will acquire essential skills for scientific studies, research work, and decision-making through undergoing core courses that include artificial intelligence in healthcare, principles of health informatics, computational bioinformatics, and research methods and ethics in health and genomics.
• Master big data systems for multiple disciplines, exploring the impact of examining big data (large datasets containing a variety of data types for health or other applications).
• Furthermore, students will be trained to master state- of-the-art tools and methodologies in uncovering hidden patterns, unknown correlations, market trends, customer preferences and other useful business information from big data.
• Study ethics involved in data analytics: Students will obtain a deep knowledge of today’s health management systems and their pitfalls. Importantly, they will apply high ethical standards and propose draft policies for dealing with big data applied to health management. A key objective of the MDA-HM program is to foster a strong understanding of health management values, policies, challenges and opportunities, as well as their impact on health.

A 33-credit program taught in English, typically over two years, which includes:

• Four core courses (12 credits)

| Course Name | | --- | | Artificial Intelligence and Machine Learning in Healthcare | | Principles of Health Informatics | | Computational Bioinformatics | | Research Methods and Ethics in Health and Genomics | - Four elective courses from the College of Science and Engineering and College of Health and Life Sciences with emphasis on health management - Research Thesis (9 credits) - Applied project (6 credits) and an extra elective course - One semester of graduate research seminars

Applicants seeking admissions to the College of Science and Engineering graduate programs at HBKU should have a strong academic record (minimum 3.0 GPA out of 4.0) from a recognized university. Applicants to the master’s programs should have a bachelor’s degree, while applicants to the PhD programs should have a master’s degree. Applicants should check the program they are applying for in order to make sure that they have majored in one of the disciplines mentioned under “required field of study".

Applicants are required to submit a valid IELTS score of 6.5 or a TOEFL score of 79 to demonstrate their proficiency in English. Further details about the language proficiency requirement and the process to seek exemption (where this is an option) are available from CSE Admissions.

For more information regarding Admissions requirements visit CSE Admissions.

Fees and Financial information

Student Financial Information