Data Science - BSc

Data Science

AUC’s Data Science is the first program leading to a Bachelor of Science degree in Data Science in Egypt and, probably, in the region. Data Science is experiencing very rapid growth due to the availability of huge and complex real-world data. The demand for data scientists is very high both globally and in Egypt. “The demand for data science education is surging, and traditional courses offered by statistics departments are not meeting the needs of those seeking training” (Hicks and Irizarry, 2017).

Working with data requires the mastery of a variety of skills and concepts. The Data Science Program has the advantage of combining including many traditionally associated with the fields of probability, statistics, mathematics, machine learning, databases, and modern programming languages such as R and Python. These areas most relevant and needed for a very strong program in Data Science. This multidisciplinary program provides students with tools for extracting knowledge from data. Decision-makers can then use this knowledge to make evidence-based decisions in various business establishments and governmental organizations.

Because Data Science is a multidisciplinary program, it is administered by a Council of members from several departments, including Mathematics and Actuarial Science, Computer Science and Computer Engineering, Biology, and Chemistry.

Watch Videos on Mathematics and Actuarial Science Programs

Graduates of the Data Science program will be able to:

  • Establish a career as a data scientist who possesses analytical tools for extracting knowledge from data, especially big data

  • Thoroughly analyze complex data sets in various domains and effectively communicate the results to domain specialists.

  • Adhere to high standards of conduct, practice, and qualifications of the data science profession

  • Able to use standard techniques of mathematics, probability, and statistics to address problems typical of a career in data science

  • Apply appropriate modeling techniques to conduct quantitative analyses of complex big data sets

  • Use statistical software packages such as R and Python to solve data science problems.

  • Know standard resources that can be used to stay up to date with current data science issues, practices, and professional developments

  • Summarize and communicate, orally and in writing, data science problems to specialized and non-specialized audiences.

  • Be able to work both independently and in collaboration with others.

  • Apply high standards of ethical conduct and be able to articulate best practices of ethical action in professional practice

  • Articulate the need for lifelong learning

    How to Declare    Apply Now   

Download Brochure