The undergraduate degree program is divided into a mandatory course, discipline specific electives, and University elective area. In addition, student must choose university electives from a specified catalog. The elective area serves to acquire additional technical, interdisciplinary, and professional skills. Elective modules can be chosen from the entire range of Courses offered across NUV.
The BSc in Data Science is designed to equip students with a profound understanding of the fundamental principles and practical applications within the field. Rooted in a multidisciplinary approach, the curriculum is meticulously structured to seamlessly integrate theoretical knowledge with hands-on experience, thereby preparing graduates for diverse career trajectories in academia, and industry.
The core courses form the bedrock of the program, providing students with a solid grounding in essential such as Foundations of Mathematics, Statistics, Database system, Data Structures, Programming, Data Analytics in Data Science and Machine Learning. These foundational and core courses lay the groundwork for a deeper exploration of specialized tracks, allowing students to tailor their academic journey based on individual interests and career aspirations.
The program places a strong emphasis on practical training and research, offering laboratory rotations and opportunities to engage in data projects in collaboration with faculty. The inclusion of advanced elective courses allows students to further tailor their education by selecting topics that align with their specific interests, such as Computer Vision, Regression Analysis, Natural Language Processing, deep learning.
A series of seminars on cutting-edge topics in life sciences provides students with exposure to the latest developments in the field. The capstone experience involves presenting research findings in a public forum, showcasing the culmination of a student’s academic journey.
Complementing the academic curriculum is a focus on professional development, including career development workshops, networking events with industry professionals, and optional internships. The program also incorporates a mobility window, providing opportunities for international collaboration or participation in exchange programs.
The culmination of the BSc in Data Science is marked by the successful completion and defense of a thesis, where students conduct independent research, demonstrating their ability to contribute meaningfully to the advancement of knowledge in the field. Graduates emerge from the program with a strong foundation in life sciences, specialized expertise in their chosen track, and the practical skills necessary for success in the dynamic and evolving landscape of life sciences.