Program Information
The Bachelor of Science in Data Science (BSDS) program is designed to equip students with a strong foundation in data-driven decision making, statistical analysis, and computational techniques. This program emphasizes the integration of mathematics, statistics, computer science, and domain knowledge to extract meaningful insights from large and complex datasets. Graduates will be prepared for careers in data analysis, machine learning, artificial intelligence, business intelligence, and research, with a focus on solving real-world problems through innovative data-driven solutions.
Following Program Objectives (POs) have been defined by keeping in view the department’s vision and mission. The graduates of the BS Data Scinece program are expected to have the below mentioned skills after four - five years of their graduation.
Apply analytical thinking, computational knowledge, and problem-solving skills to develop intelligent solutions and contribute to advancements in the field of data science.
Demonstrate effective communication, teamwork, and ethical professional practices in multidisciplinary and collaborative environments.
Employ modern data science tools and technologies to solve societal, environmental, and business challenges, while embracing lifelong learning and continuous professional development.
Following Graduate Attributes (GAs) have been defined by keeping in view the department’s vision and mission. The graduates of the BS SE program are expected to have the below mentioned skills after four - five years of their graduation.
To prepare graduates as computing professionals
Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements
Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations
Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.
Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional