Approved Courses for Research Degree Students (MA)

Department of Mathematics

MPhil / PhD students are required to fulfill the stipulated core course and electives requirements.

Core Courses for PhD Students (9 credits) for 2019 cohort and thereafter:

Code Course Title Credits

2021-2022
Semester / Term

MA8011 Methods for Applied Mathematics 3 B
AND
Two course with 3 credits each to be selected from the following:
MA8004 Selected Topics in Applied Analysis # 3 B
MA8005 Advanced Partial Differential Equations I # 3 -
MA8006> Functional Analysis and Applications # 3 A
MA8014 Advanced Methods for Scientific Computation # 3 A
MA8019 Topics in Statistical Machine Learning # 3 -

# These 5 courses can also be used as electives but students cannot select the same course as a core course and an elective.

Core Courses for MPhil Students (3 Credits) for 2019 cohort and thereafter:

Code Course Title Credits

2021-2022
Semester / Term

MA8011 Methods for Applied Mathematics 3 B

Research Methodology and Ethics Courses for PhD Students (2 Credits)/MPhil Students (2 Credits) for 2019 cohort and thereafter:

Code Course Title Credits

2021-2022
Semester / Term

MA8003 Research Methodology and Ethics 2 A & B
B & A

Electives for PhD Students (3 Credits)/MPhil Students (3 Credits) for 2019 cohort and thereafter:

Code Course Title Credits

2021-2022
Semester / Term

MA8004 Selected Topics in Applied Analysis 3 B
MA8005 Advanced Partial Differential Equations I 3 -
MA8006 Functional Analysis and Applications 3 A
MA8007 Advanced Partial Differential Equations II 3 B
MA8008 Complexity Theory 3 -
MA8014 Advanced Methods for Scientific Computation 3 A
MA8015 Advanced Learning Theory 3 -
MA8017 Continuum Mechanics 3 -
MA8019 Topics in Statistical Machine Learning 3 -
MA8020 Selected Topics in PDEs 3 -
MA8021 Topics in Applied and Computational Harmonic Analysis 3 -
MA8022 Convex Optimization 3 -
MA8023 Stochastic and Statistical Computation 3 -
MA8024 Introduction to Kinetic Theory 3 -
MA8025 Selected Topics in Random Matrix Theory 3 -
MA8026 Advanced Mathematical Statistics 3 -
MA8027 Linear Models 3 -

Core Courses for PhD Students (7 credits) for 2018 cohort or before:

Code Course Title Credits

2021-2022
Semester / Term

MA8001 Seminars on Applied Mathematics I 1 -
MA8006 Functional Analysis and Applications 3 A
AND
One course with 3 credits to be selected from the following:
MA8004 Selected Topics in Applied Analysis # 3 B
MA8005 Advanced Partial Differential Equations I # 3 -
MA8014 Advanced Methods for Scientific Computation # 3 A
MA8019 Topics in Statistical Machine Learning # 3 -

# These 4 courses can also be used as electives but students cannot select the same course as a core course and an elective.

Core Courses for MPhil Students (4 Credits) for 2018 cohort or before:

Code Course Title Credits

2021-2022
Semester / Term

MA8001 Seminars on Applied Mathematics I 1 -
MA8006 Functional Analysis and Applications 3 A

Electives for PhD Students (7 Credits)/MPhil Students (3 Credits) for 2018 cohort or before:

Code Course Title Credits

2021-2022
Semester / Term

MA8002 Seminars on Applied Mathematics II (PhD students only) 1 -
MA8004 Selected Topics in Applied Analysis 3 B
MA8005 Advanced Partial Differential Equations I 3 -
MA8007 Advanced Partial Differential Equations II 3 B
MA8008 Complexity Theory 3 -
MA8014 Advanced Methods for Scientific Computation 3 A
MA8015 Advanced Learning Theory 3 -
MA8017 Continuum Mechanics 3 -
MA8019 Topics in Statistical Machine Learning 3 -
MA8020 Selected Topics in PDEs 3 -
MA8021 Topics in Applied and Computational Harmonic Analysis 3 -
MA8022 Convex Optimization 3 -
MA8023 Stochastic and Statistical Computation 3 -
MA8024 Introduction to Kinetic Theory 3 -
MA8025 Selected Topics in Random Matrix Theory 3 -