Undergraduate (Bachelors Degree)
Undergraduate Degree in Data Science
Learning period: 3 Years | Type of Program: Single major | Enrollment Status: Registration begins January 29, 2023 | Department web site
The dramatic increase in data availability opens the possibility of inferring new knowledge and the development of predictive models for all areas of society and industry: smart cities with autonomous vehicles, forensics that learn from online activity, support for medical decisions, etc. The data science field encompasses principles and methods for collecting, storing and analyzing data, in order to manage, organize, analyze and understand large sets of a variety of data types. To be a data scientist, a deep understanding of methods and tools in the fields of computer science, statistics and information systems is required.
The program is targeted at outstanding students and leverages the strengths of three departments: matching the task of data exploration to organizational needs and managing big data (information systems); development of computational algorithms for large data (computer science); and production of knowledge from large data (statistics). The program provides broad theoretical knowledge and practical experience in a plethora of methods and tools of data science. It is open for registration in each of the three departments. Most of the courses are joint, and four courses are taught in the chosen focus, where emphasis is placed on: computational modeling and operating systems; matching the data exploration task to organizational needs and managing large data; or stochastic models and multivariate analysis.
The University of Haifa is also advancing the field of data science in terms of research. A data science research center was recently established. The Center aims to promote the development of innovative data science methods. Researchers from the core departments of data science (computer science, information systems, and statistics) collaborate with researchers in a variety of application fields who pose new challenges that can be solved by innovative data science methods. Existing collaborations include marine sciences, biology, medicine, business administration, economics, geography, history, archaeology, cognition, and more.
Non-profit organizations are also involved by contributing data sets and challenges, while the industry offers research collaborations and internships for graduate students, who benefit from learning data science tools used in industry and being involved in cutting-edge research. Research center activities (hackathons, lectures, workshops, and conferences) are also open to undergraduate students from the data science program. For more information about the Center for Data Science Research click here
A unique scholarship for those admitted to the data science program – for full details about the scholarship click here.