B.sc Computational mathematics & DS
Course Overview
B.Sc. in Computational Mathematics & Data Science – Curriculum Overview
The B.Sc. in Computational Mathematics & Data Science (DS) curriculum is an interdisciplinary program that integrates core mathematics, computer science, and data science to develop strong analytical and computational problem-solving skills.
The program builds a solid mathematical foundation through subjects such as Calculus, Linear Algebra, Probability, Statistics, and Differential Equations, while simultaneously strengthening computing knowledge with Programming, Data Structures, Algorithms, and Database Systems. These fundamentals support advanced data science learning, including Machine Learning, Statistical Modeling, Numerical Methods, Optimization, and Mathematical Modeling.
A key emphasis of the curriculum is the application of computation to solve complex real-world problems. Students gain hands-on experience using industry-relevant tools and languages such as Python and MATLAB for data analysis, simulation, visualization, and predictive modeling.
By combining theory with practical implementation, the program prepares graduates to analyze large datasets, develop data-driven solutions, and apply mathematical reasoning across diverse domains. This skill set opens opportunities in technology, finance, analytics, scientific research, and emerging data-driven industries
Curriculum Structure
B.Sc. in Computational Mathematics & Data Science – Curriculum Overview
The B.Sc. in Computational Mathematics & Data Science (DS) curriculum is an interdisciplinary program that integrates core mathematics, computer science, and data science to develop strong analytical and computational problem-solving skills.
The program builds a solid mathematical foundation through subjects such as Calculus, Linear Algebra, Probability, Statistics, and Differential Equations, while simultaneously strengthening computing knowledge with Programming, Data Structures, Algorithms, and Database Systems. These fundamentals support advanced data science learning, including Machine Learning, Statistical Modeling, Numerical Methods, Optimization, and Mathematical Modeling.
A key emphasis of the curriculum is the application of computation to solve complex real-world problems. Students gain hands-on experience using industry-relevant tools and languages such as Python and MATLAB for data analysis, simulation, visualization, and predictive modeling.
By combining theory with practical implementation, the program prepares graduates to analyze large datasets, develop data-driven solutions, and apply mathematical reasoning across diverse domains. This skill set opens opportunities in technology, finance, analytics, scientific research, and emerging data-driven industries
Admission Process
The admission to B.Tech Computer Science program is based on entrance exam scores followed by counseling. Here's the step-by-step process:
Check Eligibility
Candidate must have passed 10+2 examination with Physics, Chemistry, and Mathematics as compulsory subjects with minimum 60% marks.
Appear for Entrance Exam
Appear for BCECE (Bihar Combined Entrance Competitive Examination) or JEE Main. The college accepts scores from both examinations.
Online Application
Fill the online application form on the college website during the application window (typically May-June).
Counseling Process
Shortlisted candidates will be called for counseling based on their entrance exam rank. Document verification and seat allotment happens during counseling.
Fee Payment & Enrollment
Selected candidates need to pay the admission fee and complete the enrollment process to confirm their seat.
Career Opportunities
A B.Sc. in Computational Mathematics & Data Science opens pathways to a wide range of high-demand careers that rely on strong foundations in mathematics, statistics, and programming. Graduates are well prepared for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Quantitative Analyst (Quant), and Software Developer, where analytical thinking and computational skills are essential.
The interdisciplinary nature of the program also enables careers in Actuarial Science, Business Intelligence, Cryptography, Financial Analytics, and Academic Research. Professionals from this background are sought after across sectors including technology, finance, healthcare, e-commerce, research organizations, and government agencies.
Top Recruiters
- Wipro
- Amazon
- Paytm