Program start date | Application deadline |
2024-07-15 | - |
Program Overview
The one-year Post Graduate Diploma in Computer Application (PGDCA) program prepares students for industry jobs in various specializations, including Artificial Intelligence, Blockchain, Cyber Security, and Data Science. The program includes core courses, specialization courses, life skills, and project-based learning. The curriculum is designed in consultation with industry experts and provides students with opportunities to work on cutting-edge projects.
Program Outline
Degree Overview:
The one-year Post Graduate Diploma in Computer Application (PGDCA) Program (50 credits) prepares the students for various industry jobs. The students are offered courses including, program core, specialisation core, specialisation elective, life skills, and project-based learning.
Outline:
Program Core Courses (25 credits)
Besides other things, the core courses help prepare the ground for students to work on advanced concepts such as data structures, algorithms, network systems, operating systems, software engineering and databases among others.
Life Skills (2 Credits)
Humanity (1 Credits) Entrepreneurship (2 Credits)
Project Based Learning (PBL) (6 credits)
Students are expected to take up two projects: One, on the area of their specialisation; and two, on product design technology.
Specialisations
Each specialisation comprises two core courses and two elective courses. Besides, there is a part for project-based learning in the area of specialisation. The students choose their areas of specialisation at the time of admission.
Specialisation Core Courses (8 credits)
Specialisation Electives (6 credits)
Artificial Intelligence
The CEOs and CXOs of NVIDIA, Aindra, Here Tech, Amazon, and other academicians have contributed to the curriculum design of the specialisation. The specialisation electives offered under AI are Cognitive Modelling, Advanced Computer Vision and Video Analytics, Reinforcement Learning, Image and Video Processing, and Natural Language Processing. These courses match the best of international standards in AI specialisation. The other high point is the arrangement the University has reached with NVIDIA, SAP, Hitachi and Times Internet to enable students to work on cutting-edge projects.
Blockchain
The curriculum for Blockchain specialisation has been developed in consultation with CEOs and CXOs of BankchainAsset.com, Digiledge, besides other subject matter experts. The specialisation electives offered as part of the B.Tech syllabus include Blockchain Technologies, Smart Contracts and Solidity Programming, Digital Currencies and Blockchain, Modern Cryptography, among others.
Cyber Security
With increased dependency on online transactions and other social activities, there is now high demand for a robust Cyber Security framework. Keeping that in mind, the Cyber Security curriculum has been designed by the CEOs and CXOs of the Data Security Council of India (DSCI), QoS Technologies, IBM, and other researchers. The courseware includes topics on Cyber Security with Blockchain, Malware Analysis for Mobile Devices, Security and Privacy for Big Data Analytics, Penetration Testing and Ethical Hacking, among others. Also, to have students work on cutting-edge projects, the University has tied-up with DSCI, Fortinet, CompTIA and CISCO.
Data Science
Data scientists play a key role in the working of smart cities, automation industry, BFSI and Fintech. Given the importance of Data Science, Bennett University has put together a curriculum with the help of CEOs and CXOs of Microsoft, Google, TCS, and other researchers. The curriculum includes elective courses on Structural Equation Modelling; Security and Privacy for Big Data Analytics; Data Visualisation; Big Data Analytics and Business Intelligence; and Satellite Data Analytics.