Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies (Please check the university's official website for the latest fees) | Full Time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Data Science, English Communication, Computer Fundamentals and Office Automation |
Semester 2 | Object-Oriented Programming, Database Management Systems, Data Structures, Environmental Studies, Principles of Management |
Semester 3 | Operating Systems, Web Technologies, Statistical Methods for Data Science, Python Programming, Soft Skills |
Semester 4 | Computer Networks, Advanced Database Management Systems, Machine Learning, Minor Project, Organizational Behavior |
Semester 5 | Big Data Analytics, Cloud Computing, Elective 1, Elective 2, Summer Internship |
Semester 6 | Project Work, Elective 3, Elective 4, Industrial Training |
Module | Important Topics |
---|---|
Introduction to Data Science | Basics of Data Science, Data Types, Data Life Cycle |
Programming for Data Science | Python Programming, R Programming, Data Structures |
Mathematics for Data Science | Linear Algebra, Calculus, Statistics & Probability |
Data Management | Database Management, SQL, NoSQL, Data Warehousing |
Data Analysis | Data Preprocessing, Exploratory Data Analysis, Descriptive Statistics |
Machine Learning | Supervised Learning, Unsupervised Learning, Model Evaluation |
Data Visualization | Matplotlib, Seaborn, Tableau Basics |
Big Data Technologies | Hadoop, Spark, Big Data Analytics |
Deep Learning | Neural Networks, TensorFlow, Keras |
Project Work | Real-world Data Science Projects, Capstone Projects |