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Welcome to the Department of Mathematics at the Jahangirnagar University. We offer exceptional opportunities for study and research in Mathematics at the undergraduate level, graduate level, and at the professional research level in an excellent scientific environment. Join us in exploring these opportunities. 

Master of Science in Applied Mathematics (MSAM)

under weekend program

  • Degree: Master of Science in Applied Mathematics
  • Duration: One Year
  • Total Credit: 30 Credits
  • Class Day: Weekend only
  • Faculty Members: Faculty members of the department of Mathematics
  • Course Features: International standard course curriculum with modern Mathematical methods and techniques to solve real-world mathematical problems.
  • Tuition Fees: Comparatively inexpensive
  • Environment: Air-conditioned classroom equipped with Multimedia and Wi-Fi facilities
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Admission Requirements

Applicants must have at least a CGPA of 2.5 on a scale of 4.00 or 2nd class equivalent in any one the following may apply. Applicants must have at least a CGPA of 2.5 on a scale of 4.00 or 2nd class equivalent in any one the following may apply.

  • B.Sc. (Hons) in Mathematics
  • B.Sc. (Hons) in other discipline
  • B.Sc. (Eng.) degree
  • B.Sc. (Pass) with Mathematics
Duration of MSAM Program

1 Year

Total Credit

30 Credits

Syllabus of MSAM Program

Syllabus for the Master of Science in  Applied Mathematics under weekend Program (MSAM)

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Availability of Application Form

19 May to 21 November, 2024

Admission Test Date

22 November, Friday 2023 at 10am

Admission Test Syllabus
  1. Linear Algebra: Matrix Algebra, different types of matrix, elementary row operations, inverse matrix, rank, system of linear equations, Eigenvalues and eigenvectors, Cayley- Hamilton Theorem.
  2. Differential Calculus: Function, domain range, limit of a function, continuity, techniques of differentiation and application.
  3. Integral Calculus: Techniques of integration, properties of definite integral, application.
  4. Vector: Basic concept of vector, scalar and vector product, gradient, divergence and curl of a vector.
  5. Analytical Geometry: Change of axes, General equation of second degree, Standard forms.
  6. Linear Programming problem (LPP): Formation of LPP and solution using graphical method.
  7. Differential Equations (DE): Formation of DEs, Solutions of linear ODEs, Solutions of higher order ODEs.
  8. Basics of Real and Complex Analysis.

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