MASTER OF SCIENCE IN DATA SCIENCE

About Program

MASTER OF SCIENCE IN DATA SCIENCE

The Faculty of Computer and Information Systems (FCIS), Islamic University of Madinah (IUM) has established a graduate program for the faculty including Master Program in Data Science. IUM’s Master program in Data Science, rather than just adapting to the advent of Big Data, is an analytical degree program designed from the ground up to focus on the latest systems, tools, and algorithms to store, retrieve, process, analyze, visualize, and synthesize large data. A central goal of the program is to build systems that integrate in a coherent manner the full data cycle: from data gathering to data visualization and data synthesis aided by computer-human interaction. Every student is required to complete before graduation a competitive Research Thesis in the area and take many fundamental courses covering the various dimensions of Data Science.

Program Mission:

The mission of the data science program is to ensure the graduation of qualified data scientists who have a high academic competence with proven research and entrepreneurship skills to deal effectively with data centric complex problems in real-life. This will allow our graduates to pursue careers in private and public sectors for the betterment of the local and global community.

Professions/jobs for which students are qualified:

Graduating with a Master’s in Data Science allows students to pursue work with a wide variety of

employers, achieve administrative, consulting, and leadership positions as your expertise

expands and applies for positions that bring you better life satisfaction. Some of the key job titles

are as follows:

❖ Data Science Lecturers / Teaching Assistants

❖ Specialists in Data Science

❖ Data Science Research Assistant

❖ Data Scientist in Industry Private or Government

❖ Data Scientist in Companies

❖ Data Scientist in Banks

❖ Data Science Team Lead

❖ Data Science Manager

❖ Data Architect

❖ Data Engineer

❖ Decision Scientist

❖ Machine Learning Engineer

❖ Visual Data Analysts

Program Description

College:
Faculty of Computer & Information Systems
Department:
Computer Science
Specialization:
Master of Science in Data Science
Degree:
Master
Education Approach:
In Class
Education Type:
Regular
Program Description
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Credit Hours

0

Years

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Levels

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Weeks Per Level

  1. Acquire in depth and specialized body of knowledge and understanding that covers theories, principles, and concepts in the field of data science
  2. Acquire critical knowledge and understanding of processes, materials, techniques, practices, conventions and/or terminology relevant to data science.
  3. Acquire advanced knowledge and understanding of recent developments in one or more disciplines or areas of data science;
  4. Acquire advanced knowledge and understanding of a range of established and specialized techniques of research and/or inquiry in data science.
  5. Apply specialized theories, principles, and concepts in advanced contexts of data science;
  6. Assess, critically review and reflect on the main concepts, principles, and theories;
  7. Solve problems in complex and advanced contexts in the field of data science;
  8. Carry out advanced research or professional project using specialized techniques of research and enquiry in data science;
  9. Use processes, techniques, tools, instruments, and/or materials that are advanced and specialized to deal with complex and advanced practical activities;
  10. Carry out complex and advanced practical tasks and procedures in specialized areas related to the field of data science;
  11. Use quantitative and/or qualitative methods to process data and information in complex and advanced contexts, related to data science;
  12. Communicate in various forms to disseminate knowledge, skills, research results, and innovations related to data science to specialist and non-specialist audiences;
  13. Select, use and adapt advanced digital technology and ICT tools and applications to process and analyze a variety of data and information forms to support and enhance leading research and/or projects related to data science.
  14. Commit to integrity, ethics, and academic practices, participate in constructive solutions to societal issues, and commit to responsible citizenship.
  15. Initiate professional planning for continuous learning and specialized work, and independently take decisions that result in a fundamental change or progress.
  16. Participate effectively in research or professional projects or groups and take full responsibility of the work and decisions and participate in developing knowledge and finding new practices and ways of thinking that contribute to fostering quality life for the community.
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