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Undergraduate / CISAT 2026–27

B.Sc. in Computational Mathematics

A rigorous blend of mathematics, computing, statistics, algorithms, modelling and scientific computation for the digital age.

Duration4 Years / 8 SemestersCredits144Recommended tuitionNPR 7,25,000
PROGRAMME OVERVIEW

Learn through theory, practice, projects and research.

Computational Mathematics connects rigorous mathematical thinking with modern computing. It is designed for students who want strong foundations for AI, data science, modelling, scientific computing, algorithms and research.

WHAT YOU WILL STUDY
Computational MathematicsNumerical MethodsAlgorithmsMathematical ModellingComputational StatisticsAIScientific Computing
CURRICULUM

Year 1

  • Calculus & Linear Algebra
  • General Physics
  • General Chemistry
  • Biology
  • Computer Programming
  • Object-Oriented Programming
  • Mathematical Foundations
  • Technical Communication

Year 2

  • Advanced Calculus
  • Discrete Mathematics
  • Probability & Statistics
  • Data Structures & Algorithms
  • Numerical Methods
  • Differential Equations
  • Computer Networks
  • Database Management

Year 3

  • Matrix Theory
  • Computational Operations Research
  • Complex Variables
  • Graph Theory
  • Theory of Computation
  • Computer Architecture
  • Operating Systems
  • Algorithm & Complexity

Year 4

  • Computational Statistics
  • Mathematical Modelling
  • Artificial Intelligence
  • Software Engineering
  • Machine Learning
  • Data Mining
  • Cloud Computing
  • Computational Mathematics Project
  • Internship
CAREER OPPORTUNITIES
Computational ScientistData ScientistAI/ML EngineerQuantitative AnalystResearch ScientistAlgorithm EngineerData AnalystOperations Research AnalystScientific ProgrammerSoftware Developer
LEARNING EXPERIENCE
✓ Laboratory and practical sessions
✓ Project-based learning
✓ Research and analytical work
✓ Professional communication
✓ Industry-oriented assignments
✓ Internship / major project
NEXT STEP

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