Master of Science (M.Sc.) Data Analytics Course Syllabus - Sri Ramachandra College of Engineering and Technology (SRET), Chennai

Syllabus for Master of Science (M.Sc.) Data Analytics Course

The Master of Science (M.Sc.) in Data Analytics program offers an intensive and comprehensive curriculum focused on the principles and practices of data analysis and interpretation. The course syllabus typically spans two academic years, encompassing a diverse range of subjects. Foundational courses introduce students to key concepts in Data Science, Statistics, and Data Visualization, providing a solid theoretical and practical foundation in data analysis. Students delve into areas such as Machine Learning and Predictive Analytics, where they learn about algorithms, model building, and data-driven decision-making. Advanced coursework may include topics such as Big Data Technologies, where students explore tools and technologies for managing and analyzing large datasets. Moreover, students typically engage in hands-on experiences through projects and case studies, where they apply their knowledge to real-world data sets and business scenarios. Many programs also include a research component, allowing students to delve into specialized areas of data analytics and contribute to the evolving field. Overall, the M.Sc. in Data Analytics program equips students with the expertise needed for careers in data analysis, business intelligence, data-driven decision-making, and various industries where harnessing data for insights and strategic planning is essential.

1st Year OR 1st & 2nd Semester Syllabus of Master of Science (M.Sc.) Data Analytics

2nd Year OR 3rd & 4th Semester Syllabus of Master of Science (M.Sc.) Data Analytics