The School of Computing and Data Sciences (SCDS) will be lifted and propelled by the following five pillars:
Academic degree programs in Data and Computational Sciences
From literacy modules and academic minors to undergraduate and graduate degree programs, professional and research-oriented, targeting over 500 active degree-seeking students within a period of five years. The school will feature a flagship undergraduate BS program in data science, which will build on the university's longstanding cross-faculty engagement in the field, as it carves a distinctive identity. The program will accompany global revolutionary disruptions in form, content, and applications, and will root students into lasting foundations while equipping them with the skills needed to navigate transformations in academia and the workplace. This will be complemented and further extended into MS and PhD programs in computational and data sciences with core offerings and multi-disciplinary tracks to guide students through their journeys to the mastery of theory and applications and prepare them for advanced careers, locally and globally, in academia and industry.
World-class inter-disciplinary faculty body
The School will comprise more than 25 core faculty members, including 18 new faculty lines, as well as several dual appointments and affiliates from AUB’s seven existing faculties. The school’s faculty body will cover the full spectrum of expertise from theory and fundamentals to tools and applications across disciplines, involving scholars, educators, visionaries, and industry professionals.
CMA-CGM Artificial Intelligence and Insights Institute
A research and development (R&D) engine
that will drive research projects across
disciplines, attract external funding, create
start-ups, shape policy and practice, provide
venues for capacity building, and establish
strategic partnerships. The Institute will
invite, host, enable, collaborate, and incubate,
then interface promising innovations with the
funding of pertinent industries, to spawn off
entrepreneurial ventures in collaboration with
campus wide initiatives.
Data Makerspace (DMS)
Providing tools and services, from data digitization, harvesting and curation to data processing, visualization, and regulation. DMS will offer a vibrant and uniquely adaptable learning environment where students and researchers have an opportunity to explore, design, tinker, collaborate, inquire, experiment, and invent around data at scale.
Research Computing Center (RCC)
Providing high performance computing (HPC) infrastructure – CPUs and GPUs, both on-premises and in the cloud, along with robust security and governance. RCC will offer state-of-the-art services to faculty members and students by highly qualified expert support staff.