The Data Science and Analysis Program is a program that refines the knowledge, skill and experience of students in collecting, processing and preparing data, then presenting it and extracting the benefit from it and future expectations for it. It also qualifies students in computer science in general, which gives them the ability to embark on all modern computer paths.

 
Program Learning Outcomes
  1. Demonstrates basic knowledge in mathematics and science to identify, analyze and solve problems related to disciplines relevant to the field of study.

  2. Evaluates and classifies algorithms, processes, and systems using analytical methods and modeling techniques.

  3. Learn to build different syntaxes for programming languages and compare the advantages and disadvantages of algorithms to propose solutions to artificial intelligence problems.

  4. Designs, implements and evaluates practical solutions to specific data science problems and analyzes them against a set of requirements in the context of his specialization.

  5. Develops hands-on experience using the tools, techniques, and practices required to solve problems in his field of study.

  6. Demonstrates proficiency in applying appropriate methods for data science operations related to the stages of preparing and transforming data, exploring and processing data, as well as excavating and presenting data.

  7. Applies competence related to presenting and communicating ideas effectively in a variety of professional, academic, and social settings.

  8. Demonstrates an understanding of the professional, ethical and social responsibilities associated with the exercise of his profession, and makes informed judgments.

  9. Demonstrated to be an effective leader who can work independently to propose creative solutions or work effectively as a member of teams.

  10. Applies the fundamentals of data analysis in the areas of computing and related information systems.

  11. Apply appropriate business knowledge models to produce data science problem solutions in computing and information systems.

  12. Evaluates appropriate data science projects that will lead to innovation in the computing and information systems environment.

  13. Discovers and applies new knowledge as needed, using appropriate learning strategies.