Maths Spl

Guru Ghasidas Vishwavidyalaya is a central university that has been accredited with a B+ grade by the National Assessment and Accreditation Council (NAAC).
It has recently announced the schedule for admission in the 2022-23 academic session, and the admission will be based on the CUET UG score.
Registrations are currently ongoing for the Bachelor of Science (Hons) in Mathematics. The last date for registration is September 30.
Therefore, the CUET cutoff hasn't been declared for this course, and students need to register on the admission portal of the official website of the university before the closing date.
The admission criteria for the B.S. (Honours) in Mathematics offered by the Department of Mathematics is a minimum of 50% aggregate at the 10+2 level with Math from any recognized board or equivalent organization.
Since it has an intake capacity of 75 students, the CUET UG score cutoff will be high for this course.
You can keep checking the official website for updates regarding cutoff.

You can apply for an M.Sc. in data Science after doing a B.Sc. In Maths. M.Sc. Data Science or M.Sc. Data Analytics are near equal degrees. Data Science is a field where Mathematics and Statistics are visually coming alive on scientific decision making based on analyzing any data, be it business, industrial, social, healthcare, pharma, media and so on. You will love to admire your Mathematics and Statistics that you hated while doing them at your B.Sc. Mathematics/Statistics level. You will feel proud that you have chosen the right course at M.Sc. Level in Data Science that will propel you as Data Scientist to which very few contestants are there in the final.
Is it good to do an M.Sc. In data Science after a B.Sc. In Statistics to get jobs? I think a lot of that depends on what hard technical skills you already have. While many people think that more Statistics you know the better, most of what you do in data Science is not straight up Statistics or algorithm creation. Instead there are typically building and deploying models using known and existing algorithms. There are things that you will get out of a data Science programme that you will not get out of a Statistics programme (although this is changing to some extent because of the growth of data Science). .