Bachelor of Science (B.Sc.) Data Science and Engineering Course Syllabus

Syllabus for B.Sc. in Data Science and Engineering Course

The Bachelor of Science (B.Sc.) in Data Science and Engineering program offers a comprehensive syllabus that combines the fundamental principles of computer science, mathematics, and data analysis with specialized courses in data engineering. In the initial years, students typically study core computer science topics such as programming, data structures, algorithms, and databases. They also delve into mathematics, statistics, and machine learning to develop a strong quantitative foundation. As they progress, the curriculum focuses on data engineering-specific subjects, including big data technologies, data warehousing, data integration, and cloud computing. Students gain hands-on experience through practical projects, where they work with real-world datasets and design data pipelines. Moreover, elective courses may allow students to explore areas like artificial intelligence, natural language processing, or business analytics. The program culminates in a capstone project or internship, where students apply their knowledge and skills to solve data-related challenges. Graduates are equipped with the expertise to work in various industries, including technology, finance, healthcare, and e-commerce, as data scientists, data engineers, or analysts, contributing to data-driven decision-making processes. Specific course offerings may vary among institutions, but the program typically integrates computer science and data engineering principles to prepare students for the rapidly evolving field of data science and engineering.

1st Year OR 1st & 2nd Semester Syllabus of Bachelor of Science (B.Sc.) Data Science and Engineering

2nd Year OR 3rd & 4th Semester Syllabus of Bachelor of Science (B.Sc.) Data Science and Engineering

3rd Year OR 5th & 6th Semester Syllabus of Bachelor of Science (B.Sc.) Data Science and Engineering