B.Sc. Computational Mathematics and Statistics

Programme Overview

A B.Sc in Computational Mathematics and Statistics at MIT-WPU is a multidisciplinary degree that combines elements of Applied Mathematics, Statistics, and Computer Science. This programme provides students with a strong foundation in a range of mathematical and statistical concepts, as well as programming and software engineering skills. These skills can be applied in fundamental research, software development, and mathematical modeling in real-life simulations.

Graduates of a B.Sc in Computational Mathematics and Statistics programme are trained for careers in data science and artificial intelligence, as these fields often require a combination of strong analytical and technical skills. This degree also provides a good foundation for graduate study in mathematics, statistics, computer science, or related fields.

3 Years
Programme Name

B.Sc. Computational Mathematics and Statistics

Rs. 75,000 Per Year

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Scholarship Name MIT-WPU CET Score
Dr. Vishwanath Karad Scholarship (100%) 93& Above
MIT-WPU Scholarship I (50%) 91 & Above
MIT-WPU Scholarship II (25%) 90 & Above

Scholarship Detailsbharatasmita

*Terms & Conditions apply:

All Scholarships are awarded on a First Come First Serve basis All Scholarships are awarded as fee adjustments.

To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8.5 CGPA across all semesters attendance is to be maintained at a minimum of 80 percent there should be no disciplinary action against the student.

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Indian Students

"Minimum 55% aggregate score in 10+2/Class 12th or in equivalent examination in science stream, with English subject (at least 50% marks, in case of Backward class category candidate belonging to Maharashtra State only)
Minimum 55% aggregate score in any Engineering Diploma from Any UGC approved University or equivalent."
Programme Highlights
  • Highly qualified faculty, with a strong track record of research and publication
  • Workshops for hands-on experience in software such as R, SAS, Python, HADOOP, SQL, SPSS
  • Guest lectures, seminars, and workshops by eminent corporate leaders
  • Dedicated Centre for Industry-Academia Partnerships to support students for internships and job placements.
  • MOOCs, skill enhancement and interdisciplinary courses for holistic development
  • MIT-WPU Technology Business Incubator (TBI) to support early-stage entrepreneurs, and students through funding, mentoring, and network connection
  • Rural, National and International immersion programmes
  • Industry and Teaching Internship.
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