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B.Sc.(Applied Mathematical Computing)
SVKM's NMIMS Deemed to be University, offers a four-year full-time undergraduate B.Sc. in Applied Mathematical Computing under its Nilkamal School of Mathematics, Applied Statistics & Analytics (NSOMASA). This program is designed to equip students with computational techniques in applied mathematics, fostering skills in problem-solving through symbolic, graphical, numerical, physical, and verbal methods. It emphasizes mathematical modeling, data analysis using machine and deep learning algorithms, and converting real-world problems into mathematical frameworks. The curriculum bridges mathematical sciences, computing, and finance, preparing students for applications in economics, medicine, agriculture, engineering, banking, and more
Duration: 3/4 Years (6/8 Semesters) • Aligned with NEP 2020
Eligibility:
Completion of 10+2 (or equivalent) from a recognized board with Mathematics/Statistics as compulsory subjects, securing at least 50% aggregate marks. For International Baccalaureate Diploma holders, 24 credits with 3 subjects at Higher Level (HL) and 3 at Standard Level (SL) are required. Admission is based on NMIMS-MST (NMIMS Science & Technology Entrance Test), followed by merit-based selection.
Fees: 2 Lakhs (approx) per year • Subject to change
Intake: 20 Seats
Key Features
Industry-Aligned Curriculum Developed with input from experts in academia, research, and industry.
Hands-on Training Focus on open-source tools like R, Python, MATLAB, and SageMath for practical problem-solving, case studies, and projects.
Interdisciplinary Approach Integrates core math/stats/computing with economics, finance, and ability enhancement courses like corporate communication and research methodology.
Continuous assessment Includes seminars, quizzes, practicals, presentations, and guest lectures from industry leaders.
Experiential learning Emphasis on blending theory with real-world applications to enhance employability.
Exit Options: Aligned with NEP 2020, allowing exits B.Sc. degree (After 3 years)/ B.Sc. (Honours) degree/ (after 4 years). The program outcomes include proficiency in analytical reasoning, mathematical modeling, data-driven decision-making, and using AI/ML for problem-solving. Graduates are prepared for roles in data analysis, research, academia, banking/insurance, tech firms, and consulting, with opportunities for higher studies (e.g., M.Sc./Ph.D. in Data Science or Applied Math).
Our students are placed in Banking & Finance companies, IT & AI companies, Analytics Firms, Insurance companies, Healthcare industry and Government & Research.
Key Courses
Course Name
Area
Univariate Calculus
Mathematics
Elementary Number Theory
Mathematics
Functional Programming
Computing
Exploratory Data Analysis
Statistics
Mathematics of Discrete Structures
Mathematics
Statistical Methods
Statistics
Data Analysis using Python
Computing
Linear Algebra
Mathematics
Differential Equations
Mathematics
Sampling Distributions & ANOVA
Statistics
Data Management
Computing
Computational Methods of Optimization
Computing
Numerical Analysis
Mathematics
Department Specific Electives: Mathematical Computing / Financial Mathematics Open Electives: Actuarial Science / Data Science / Statistical Computing
Full Curriculum
Program Structure
Complete semester-wise course breakdown across all 4 years — 168 credits, 63 courses.
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