ABOUT THE PROGRAM

A Data Science degree program typically provides students with the knowledge and skills needed to analyze and extract meaningful insights from vast and complex datasets. It encompasses a multidisciplinary approach, combining elements of computer science, statistics, mathematics, and domain-specific expertise.The program emphasizes the development of technical skills and practical knowledge, providing students with a solid foundation in data science techniques and methodologies.

EDUCATION OPPORTUNITIES

Students who complete the Data Science program will have a thorough education and be prepared to handle, evaluate, and draw conclusions from data using both technical and analytical skills. Programming, statistical analysis, data-driven modeling, data management, and applying data science ideas and techniques to solve practical problems are all covered in the curriculum. Additionally, students gain skills in effectively communicating their findings and solutions. Students acquire practical experience with industry-standard statistical tools and become proficient in a range of data science methodologies during the course of the program. The goal of the curriculum is to close the existing knowledge gap in data science by producing graduates who can assume creative roles in both the public and private sectors.

CAREER AREAS

Students who complete the Data Science program will have a thorough education and be prepared to handle, evaluate, and draw conclusions from data using both technical and analytical skills. Programming, statistical analysis, data-driven modeling, data management, and applying data science ideas and techniques to solve practical problems are all covered in the curriculum. Additionally, students gain skills in effectively communicating their findings and solutions. Students acquire practical experience with industry-standard statistical tools and become proficient in a range of data science methodologies during the course of the program. The goal of the curriculum is to close the existing knowledge gap in data science by producing graduates who can assume creative roles in both the public and private sectors.