Christ University

Christ University's Centre for Online Education (COE) does indeed provide online courses. These classes are made to give working professionals and students flexible and convenient learning options. Numerous academic fields, including business administration, data science, artificial intelligence, psychology, and more, are covered by Christ University's undergraduate, graduate, and certification programs. The online courses are designed to incorporate interactive learning through recorded lectures, assignments, tests, and live lectures. The knowledgeable faculty members of the university also provide mentorship and advice to students. Applicants can fill out the online application procedure, pursue the courses offered, and enrol by going to the official Christ University Online Education website. These programs are very helpful for people who want a good education without having to go to school on campus.

The transition from Manav Rachna University to Christ University for the 2nd-year BA LLB admission remains possible although several institutional requirements must be fulfilled. Lateral entry admission is available at Christ University BA LLB programme but students need to fulfill specific university admission requirements that demand at least 50% first-year programme grades. To seek admission at Christ University in your second year of BA LLB you need to get a migration certificate and transfer certificate from Manav Rachna University. Students applying for lateral entry at Christ University must pay a 5000 INR application cost and the BA LLB programme tuition amounts to 2,20,000 INR yearly.

The Bangalore Central Campus of Christ University offers a Bachelor of Science (B.Sc.) programme in Statistics and Data Science. This multidisciplinary curriculum is designed as a dual major that lasts three years, with the possibility of extending to a fourth year to obtain an honours degree. Students will be able to query, acquire, and analyse various data types thanks to the curriculum's careful design, which is in line with the demands of the present Information and Knowledge Era. Throughout the course, students work with a curriculum that prioritises project-based learning, research integration, and tech-enabled team teaching. To conclude structured data, the programme also emphasises integrating logical hypotheses with empirical data for modelling and data inference.