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DETAILS
B.Sc. Applied Mathematics & Statistics is the application of mathematics to real-world phenomena, both observed and yet to be observed. B.Sc. Applied Mathematics & Statistics will help our students to not only explain outcomes in nature and in human societies but also to predict them or, how to affect them. Applied Mathematics & Statistics training will help our students work alongside physical, biological and social scientists.
The student can choose between a 3-year Bachelor's degree or a 4-year Bachelor with Honours degree. For the 3-year degree, the student must complete a minimum of 120 credits through a combination of majors and minors. In the 4-year program, a student will have to complete 160 credits (120+40 credits), the additional credits made up of advanced courses and a project, or research. The 3-year program enables a student to join the Masters’ program while the 4-year program enables the student to directly enter the PhD program. Students can also opt for placement at the end of both, the 3-year program and the 4-year program.
Duration of Program
3 + 1 (optional) Years
Seats
20*
50% in 10th & 12th Math/Eco/Pol.Sc. in 12th will be preferred.
Non-Mathematics background students will undergo Remedial Mathematics module in Semester 1
Aptitude Test / Valid JEE Score / CUET 2022 score
| B.Sc. Applied Mathematics & Statistics | Year |
| Understanding Data | 1 |
| Real Analysis I (Calculus of one variable) | 1 |
| Probability Theory I | 1 |
| Algebra | 1 |
| Introduction to Programming and Data Structures (Python & R) | 1 |
| Real Analysis II (Metric spaces and Multivariate Calculus) | 2 |
| Probability Theory II | 2 |
| Linear Algebra | 2 |
| Introduction to Differential Equations | 2 |
| Real Analysis III (Vector Calculus) | 2 |
| Probability Theory III | 2 |
| Optimization Techniques | 2 |
| Numerical Analysis | 2 |
| Non-linear Optimization Techniques | 3 |
| Introduction to Stochastic Processes | 3 |
| Real Analysis IV (Introduction to Function Spaces) | 3 |
| Discrete Mathematics | 3 |
| Algebra III | 3 |
| Algebra IV | 3 |
| Complex Analysis | 3 |
| Introduction to Differential Geometry | 3 |
| Introduction to Algebraic Number Theory | 3 |
| Trigonometry and Analytical Geometry | 3 |
| Introduction to Representation Theory | 3 |
| Introduction to algebraic geometry | 3 |
| Differential Geometry II | 3 |
| Introduction to Differential Topology | 3 |
| Statistical Methods I | 3 |
| Linear Statistical Models | 3 |
| Parametric Inference | 3 |
| Sample Surveys | 3 |
| Economic and Official Statistics and Demography | 3 |
| Design and Analysis of Algorithms | 3 |
| Nonparametric and Sequential Methods | 3 |
| Design of Experiments | 3 |
| Statistical Quality Control and Operations Research | 3 |
| Statistics Comprehensive | 3 |
*The year in which subjects are taught may change according to academic policies
Eligibility
50% in 10th & 12th Math/Eco/Pol.Sc. in 12th will be preferred.
Non-Mathematics background students will undergo Remedial Mathematics module in Semester 1
Non-Examination Pathway
Aptitude Test / Valid JEE Score / CUET 2022 score
Curriculum
| B.Sc. Applied Mathematics & Statistics | Year |
| Understanding Data | 1 |
| Real Analysis I (Calculus of one variable) | 1 |
| Probability Theory I | 1 |
| Algebra | 1 |
| Introduction to Programming and Data Structures (Python & R) | 1 |
| Real Analysis II (Metric spaces and Multivariate Calculus) | 2 |
| Probability Theory II | 2 |
| Linear Algebra | 2 |
| Introduction to Differential Equations | 2 |
| Real Analysis III (Vector Calculus) | 2 |
| Probability Theory III | 2 |
| Optimization Techniques | 2 |
| Numerical Analysis | 2 |
| Non-linear Optimization Techniques | 3 |
| Introduction to Stochastic Processes | 3 |
| Real Analysis IV (Introduction to Function Spaces) | 3 |
| Discrete Mathematics | 3 |
| Algebra III | 3 |
| Algebra IV | 3 |
| Complex Analysis | 3 |
| Introduction to Differential Geometry | 3 |
| Introduction to Algebraic Number Theory | 3 |
| Trigonometry and Analytical Geometry | 3 |
| Introduction to Representation Theory | 3 |
| Introduction to algebraic geometry | 3 |
| Differential Geometry II | 3 |
| Introduction to Differential Topology | 3 |
| Statistical Methods I | 3 |
| Linear Statistical Models | 3 |
| Parametric Inference | 3 |
| Sample Surveys | 3 |
| Economic and Official Statistics and Demography | 3 |
| Design and Analysis of Algorithms | 3 |
| Nonparametric and Sequential Methods | 3 |
| Design of Experiments | 3 |
| Statistical Quality Control and Operations Research | 3 |
| Statistics Comprehensive | 3 |
*The year in which subjects are taught may change according to academic policies