Program Education Objectives
The basic intention of an academic program in Data Science is to develop the student’s critical professional thinking and intuition. BS (Data Science) has a dual emphasis on basic principles of statistics and computer science, with foundational training in statistical and mathematical aspects of data analysis. This program develops foundation on broad computer science principles, including algorithms, data structures, data management and machine learning. This program will prepare graduates for a career in data analysis, combining foundational statistical concepts with computational principles from computer science.
PEO 1. Graduates will be able to exhibit comprehensive knowledge in the Data Science domain as proficient professionals
PEO 2. Graduates will be able to design and implement efficient, data-driven solutions to realworld problems
PEO 3. Graduates will be able to communicate, develop and manage their work responsibly as individuals and in teams
PEO 4. Graduates will be able to demonstrate professional attitudes and ethics in consideration of societal obligation and computing practices.
PEO 5. Graduates will be able to learn emerging technologies and continue professional development and lifelong learning.
Student Outcomes
| GA1 | Academic Education | Completion of an accredited program of study designed to prepare graduates as computing professionals. | ||
| GA2 | Knowledge for Solving Computing Problems | 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. | ||
| GA3 | Problem Analysis | Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines | ||
| GA4 | Design/ Development of Solutions | 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. | ||
| GA5 | Modern Tool Usage | Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations. | ||
| GA6 | Individual and Team Work | Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings. | ||
| GA7 | Communication | 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. | ||
| GA8 | Computing Professionalism and Society | Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice. | ||
| GA9 | Ethics | Understand and commit to professional ethics, responsibilities, and norms of professional computing practice. | ||
| GA10 | Life-long Learning | Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional. | ||