Highlights of Syllabus

Syllabus at a glance

» Semester - I
1. Data Science I
2. Advanced Java
3. Cloud Computing
4. AI and Applications
5. Management Information Systems
6. Practicals based on Data Science I (Using R)
7. Practicals based on Advanced Java
8. Practicals based on Advanced Python
» Semester - II
1. Machine Learning with Python
2. Elective I
3. Block Chain Technology
4. Computer Networks
5. Software Engineering with UML
6. Practicals based on Android Applications Development
7. Practicals based on Machine Learning with Python
8. Summer Assignment
» Semester - III
1. Data Science II
2. Elective II
3. Embedded Systems & Robotics
4. Information Security
5. Elective III
6. Practicals based on Data Science II
7. Dissertation / Mini Project
» Semester - IV
1. Entrepreneurship
2. Industry Internship / Software Development Project
» Elective - I
1. Digital Marketing Technology
2. Ethical Hacking
3. Sensor Network and IoT
4. Distributed Database Systems
» Elective - II
1. DevOps, Dockers and Containers
2. Parallel Programming Tools
3. Game Programming using OpenGL
4. Image Processing
5. Design Patterns
» Elective - III
1. Practicals based on iOS Application Development
2. Practicals based on Java Framework