Overview
M.Sc. Mathematics at Central Department of Mathematics, Tribhuvan University, Nepal
Course Overview:
The M.Sc. Mathematics program at the Central Department of Mathematics, Tribhuvan University, is a two-year, four-semester program. The total credit hours required to complete the program are at least 100.
Eligibility:
To be eligible for admission, students must pass the M.Sc. Mathematics Entrance Examination, which is based on the B.Sc./BA Mathematics syllabus prescribed by the committee. The entrance examination carries a weightage of 100 full marks and has a duration of 2 hours. A minimum of 35% marks is required to pass the entrance examination.
Admission Criteria:
- Students must pass the entrance examination with a minimum of 35% marks.
- Admission is based on merit, considering the marks obtained in the Bachelor level and the entrance examination.
- The merit list is calculated using the formula: Merit List = 20% (marks obtained in B.Sc.) + 80% (marks secured in the entrance examination).
- 80% of the available seats are filled through open competition, and 20% are reserved for students from specific categories.
- Students applying under the reserved category must fulfill certain criteria, such as passing SLC from community schools or being permanent residents of backward regions.
Curricular Structure:
The M.Sc. Mathematics program consists of various courses, each with a specific number of credit hours, full marks, and pass marks. The course titles and their corresponding credit hours are as follows:
- Topology I
- Problems in Topology I
- Topology II
- Problems in Topology II
- Measure Theory and Integration I
- Problems in Measure Theory and Integration I
- Functional Analysis I
- Problems in Functional Analysis I
- Complex Analysis and Application I
- Problems in Complex Analysis and Application I
- Differential Equations
- Problems in Differential Equations
- Theory of Function I
- Problems in Theory of Function I
- Theory of Function II
- Problems in Theory of Function II
- Differential Geometry
- Problems in Differential Geometry
- Combinatorial Optimization
- Problems in Combinatorial Optimization
- Mathematical Programming
- Problems in Mathematical Programming
- Mathematical Analysis
- Problems in Mathematical Analysis
- Functions of Several Variables
- Problems in Functions of Several Variables
- Elementary Harmonic Analysis
- Problems in Elementary Harmonic Analysis
- Algebra I
- Problems in Algebra I
- Algebra II
- Problems in Algebra II
- Linear Algebra
- Problems in Linear Algebra
- Linear Algebra and Its Application
- Problems in Linear Algebra and Its Application
- Introduction to the Theory of Sets
- Problems in Introduction to the Theory of Sets
- Theory of Numbers I
- Problems in Theory of Numbers I
- Mechanics
- Problems in Mechanics
- Functional Analysis II
- Problems in Functional Analysis II
- Harmonic Analysis
- Problems in Harmonic Analysis
- Special Function I
- Problems in Special Function I
- Special Function II
- Problems in Special Function II
- Partial Differentiation Equations I
- Problems in Partial Differentiation Equations I
- Integral Transforms I
- Problems in Integral Transforms I
- Measure Theory and Integration II
- Problems in Measure Theory and Integration II
- Scheduling Theory
- Problems in Scheduling Theory
- Integer Programming
- Problems in Integer Programming
- Network Optimization
- Problems in Network Optimization
- Graph Theory
- Problems in Graph Theory
- Numerical Analysis
- Problems in Numerical Analysis
- Numerical Optimization
- Problems in Numerical Optimization
- Dynamical Systems
- Problems in Dynamical Systems
- Dynamics of Viscous Fluids
- Problems in Dynamics of Viscous Fluids
- Partial Differentiation Equations II
- Problems in Partial Differentiation Equations II
- Introducing to C Programming
- Seminar
- Thesis
- Integral Transform II
- Problems in Integral Transformation II
- Complex Analysis and Applications II
- Problems in Complex Analysis and Applications II
- Theory of Numbers II
- Problems in Theory of Numbers II
- Scientific Computing
- Analysis of Finite Difference Schemes
- Introduction to Commutative Algebra
- Location Analysis
- Mathematical Models in Biology
- Advanced Ordinary Differential Equations
Career Prospects:
- Teaching and research positions in educational institutions
- Mathematical modeling and analysis in various industries
- Actuarial science
- Financial analysis and risk assessment
- Data analysis and statistics
- Cryptography and data security
- Software development and programming
- Government agencies and research organizations
Fees Structure:
For detailed information about the fees structure and other financial aspects of the M.Sc. Mathematics program, it is recommended to contact the administration office of the Central Department of Mathematics, Tribhuvan University.
Why Choose this Course:
- Provides advanced knowledge and skills in mathematics
- Enhances analytical thinking and problem-solving abilities
- Opens up diverse career opportunities in academia, research, and industry
- Opportunity to contribute to the field of mathematics through research and publications
Scholarship:
Information regarding scholarships and financial assistance can be obtained by contacting the administration office of the Central Department of Mathematics, Tribhuvan University.
It's important to note that the above information is based on the available data up until September 2021, and there may have been updates or changes to the program since then. It's advisable to verify the details with the university or the concerned department for the most accurate and up-to-date information.
