Semester | Subjects |
---|---|
Semester 1 | Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies |
Semester 2 | Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Financial Accounting |
Semester 3 | Data Preparation and Cleaning, Data Visualization, Linear Algebra, Business Economics, Operating Systems |
Semester 4 | Machine Learning, Big Data Analytics, Web Technologies, Research Methodology, Elective I |
Semester 5 | Deep Learning, Natural Language Processing, Cloud Computing for Data Science, Elective II, Project Work I |
Semester 6 | Advanced Machine Learning, Data Science Project Management, Elective III, Project Work II, Internship |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Data Science, Programming Fundamentals using Python, Mathematics for Data Science |
Semester 2 | Database Management Systems, Data Structures and Algorithms, Statistics for Data Science |
Semester 3 | Machine Learning Fundamentals, Data Preprocessing and Visualization, Linear Algebra for Data Science |
Semester 4 | Big Data Analytics, Advanced Database Management Systems, Probability and Stochastic Processes |
Semester 5 | Deep Learning, Time Series Analysis and Forecasting, Elective (Blockchain Technology/ IoT in Data Science) |
Semester 6 | Capstone Project, Industry Internship, Elective (Natural Language Processing/ Computer Vision) |