All Courses

Course Overview

The MCA degree programme at JECRC University seeks to provide students with the necessary abilities to work in the industry that has been concentrating on developing intelligent machines. Experts have designed the programme. You get the chance to interact with the faculty, your fellow classmates, and industry professionals while you learn in a classroom setting. The collaboration with the industry for this specialised degree programme has improved the course materials and academic delivery.

Amazon, NVIDIA, Microsoft, IBM, Accenture, Facebook, Intel, Samsung, and many other companies are looking for AI and ML positions. AI is used widely. Workplaces, banks, autos, homes, hospitals, and even the space have useful uses for it. AI approaches are used in Google's search engine, video games, and computer animation from Hollywood. AI aids governments in making judgments about health and transportation policies as well as helping financiers forecast stock market movement.

A system can learn from data rather than through explicit programming thanks to the specific discipline of artificial intelligence known as machine learning. The use cases for AI have significantly risen in recent years thanks to advances in machine learning techniques, data availability, and computing capacity. Corporations and governments from all over the world have made significant investments in AI. As a result, job prospects in data science and AI have multiplied tremendously.

Highlights:

• Industry experts and academics worked together to balance theory and practise in the curriculum.

• The course covers all crucial ideas in Python, statistics, probability distribution models, and linear algebra.

• Using hands-on instruction with Python, Matplotlib, Panda, Mum-py, and Scikit-Learn, explain the fundamental ideas.

• Individual sessions with specialists will be held for each learner to clear their doubts.

Eligibility:

earned a BCA or B.Sc. with a minimum GPA of 60% in (Computer Science) or B.Sc. (Information Technology).
Note: Candidates who fall under the SC/ST/Rajasthan state OBC Non-creamy layer/women categories will receive a 5% mark relaxation in the minimum eligibility requirements.

Curriculum:

Semester 1

Semester 2

Semester 3

Semester 4

Electives