- All courses are hands-on: The course delivery uses modern industry tools.
- Andragogical Teaching Methodology Aligned with Industry 4.0/5.0: Most of the courses focussed upon updated industry standards.
- Industry Mentor for every single student from III semester onwards: All students will get an industry mentor for their subject/project/internship/research implementation.
- Group project during the third year: students should do group projects based on their area of specialization.
- One Full Semester Internship in the relevant Industry: students should undergo industry/project/internship based on their area of specialization.
Electives Streams
Data Science | Cyber Security & Digital Forensics | Cloud & Mobile Computing |
Python for Data Science | Cryptography | Mobile app Development I |
Data Analytics | Ransomware | Mobile app Development II |
Data Visualization and Interface | Digital Forensics | High Performance Computing |
Big Data | Secure Communications | Cloud Networking |
Advanced Machine Learning | Ethical Hacking | Cloud Services |
Mathematical Foundations for Data Science | Artificial Negligence | Internet of Things |
Image Processing | Networking | Performance Engineering |
Ethical & Professional Issues | Ethical & Professional Issues | Ethical & Professional Issues |
Databases | Computer Crime & Digital Evidence | |
Security & Forensic Tools | ||
Law , Experts & Justice | ||
Secure Computer Network | ||
Forensic Computing Practice | ||
Security Data Analytics & Visualization | ||
Networks, Information & Society |
Indicative Courses:
Fundamentals of Computer | X structure of C | Basics of HTML/JAVA/VB Script |
IT Equipment | Data Mining | Core JAVA |
Digital Electronics | Python | WEB Designing |
Big Data | Data Warehousing | Programming in .NET |
Operating Systems | Software Testing | Android |
Mathematical Foundations for Data Science | LAMP | Fuzzy Logic in ML |
Image Processing | Artificial Negligence | WEB Engineering |
Databases | Networking | Advanced JAVA |