BS DATA SCIENCE
The program essentially puts an emphasis on data science from a computing perspective. It has been designed to equip the students with cutting edge knowledge to foster the evolving need of computer technologies demanding smart and versatile use of data. In addition, the program helps the students’ progress on broad computer science principles. The degree is suitable for students interested in career industry and for the students who wish to pursue more specialized education. The program will help students to enhance their studies through variety of available innovative coursework.
- 4 Years / Onsite
- Intakes: Fall & Spring
Overview
The BS in Data Science program offers a comprehensive education designed to equip students with the skills and knowledge needed to analyze and interpret complex data. The curriculum covers key areas such as statistical analysis, data visualization, machine learning, and programming with languages like Python and R. Students learn to extract valuable insights from large datasets and apply these findings to solve real-world problems in various industries, including technology, finance, and healthcare. The program emphasizes practical experience through hands-on projects and internships, preparing graduates for roles such as data analyst, data scientist, and business intelligence specialist. With a strong foundation in both the theoretical and practical aspects of data science, students are well-prepared to tackle the challenges of the data-driven world.
BS Data Science Program Objectives (POs)
PO 1: Professional Excellence
Graduates will demonstrate strong analytical, computational, and problem-solving abilities to design and develop effective data-driven solutions in diverse professional environments.
PO 2: Innovation and Research Orientation
Graduates will engage in continuous learning, research, and innovation to adapt to emerging technologies in Data Science, Artificial Intelligence, and related domains.
PO 3: Ethical and Social Responsibility
Graduates will practice ethical standards and social responsibility while utilizing data science methodologies to address real-world challenges for societal benefit.
PO 4: Leadership and Entrepreneurship
Graduates will exhibit effective leadership, teamwork, communication, and an entrepreneurial mindset to contribute to industry, academia, and the global digital economy.
Scope of this degree
Graduates are prepared for some of the most in-demand roles in the tech and business worlds:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence (BI) Analyst
Data Engineer
AI Specialist