Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by location and quota | Full-time | Private |
Year | Semester | Subjects |
---|---|---|
1 | 1 | Introduction to Programming, Mathematics for Data Science, Introduction to Data Science, English/Communication Skills, Environmental Studies |
1 | 2 | Programming in Python, Statistics for Data Science, Database Management Systems, Organizational Behavior, Elective 1 |
2 | 3 | Data Structures and Algorithms, Machine Learning Fundamentals, Web Technologies, Professional Ethics, Elective 2 |
2 | 4 | Advanced Python for Data Science, Big Data Analytics, Operating Systems, Financial Accounting, Elective 3 |
3 | 5 | Deep Learning, Data Visualization Techniques, Cloud Computing for Data Science, Project Management, Elective 4 |
3 | 6 | Capstone Project, Internship/Industrial Training |
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 Principles, 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, Natural Language Processing, Data Science Project Management |
Semester 6 | Capstone Project, Ethics in Data Science, Cloud Computing for Data Science |