Master's in Applied Mathematics and Computation courses
About MMAC: admission, outcomes and moreMandatory exam
1st Semester
Introduction to Mathematical Finance
IMF
3.0 (6)
Moderate
Multivariate Analysis
AM
3.4 (5)
Moderate
Numerical Analysis
AN📝
4.0 (3)
Moderate
Statistical Methods in Data Mining
MEDM📝
2.5 (2)
Light
Reliability and Quality Control
FCQ
4.5 (2)
Moderate
Foundations of Logic and Theory of Computation
FLTC📝
1.0 (1)
Heavy
Complex Analysis
AC📝
3.0 (1)
Moderate
Linear Model Analysis
AML📝
2.0 (1)
Moderate
Numerical Functional Analysis and Optimization
ANFO📝
3.0 (1)
Light
Computability and Complexity
CC📝
5.0 (1)
Light
Computational Statistics
EC📝
3.0 (1)
Moderate
Mathematical Statistics
EM
5.0 (1)
Moderate
Introduction to Coding Theory
ITC📝
4.0 (1)
Very heavy
Logic and Model Checking
LVM📝
5.0 (1)
Light
Mathematics Option IV
OMI
Mathematics Option V
OMV
Project in Mathematical Modeling
PMM
Research Seminar and Report A
SIRA
Research Seminar and Report B
SIRB
Riemann Surfaces and Algebraic Curves
SRCA📝
Probability Theory
TP📝
Real Analysis
AR📝
Biomedical Statistics
EB📝
Ordinary Differential Equations
EDO📝
Differential Geometry of Curves and Surfaces
GDCS📝
Introduction to Quantum Information and Computation
IICQ📝
Algebraic and Geometric Methods in Engineering and Physics
MAGEF📝
Geometric Mechanics
MG📝
Mathematical Modelling and Applications
MMA
Mathematical Models in Biomedicine
MMB📝
Numerical Methods for Ordinary Differential Equations
MNEDO
Mathematical Quantum Mechanics
MQM📝
Modules and Representations
MR📝
Applications Option I
OA-I
Applications Option II
OA-II
Doctoral Option I
OD-I
Doctoral Option II
OD-II
Doctoral Option III
OD-III
Doctoral Option IV
ODI
Mathematics Option I
OM-I
Mathematics Option II
OM-II
Mathematics Option III
OM-III
Matrices in Mathematics and Physics
MAMF
2nd Semester
Biostatistics
B
3.7 (3)
Moderate
Cryptography and Security Protocols
CPS📝
3.7 (3)
Moderate
Introduction to Stochastic Processes
IPE📝
3.7 (3)
Moderate
Computational Methods in Finance
MCF📝
3.0 (3)
Light
Numerical Analysis of Partial Differential Equations
ANEDP📝
3.5 (2)
Moderate
Partial Differential Equations
EDP📝
4.0 (2)
Moderate
Mathematics for Machine Learning
MAA📝
3.5 (2)
Light
Time Series Analysis
ST
2.0 (1)
Moderate
Applied Bayesian Statistics
EBA📝
1.0 (1)
Light
Riemannian Geometry
GR📝
3.0 (1)
Heavy
Mathematics Option IV
OMI
Mathematics Option V
OMV
Project in Mathematical Modeling
PMM
Research Seminar and Report A
SIRA
Research Seminar and Report B
SIRB
Algebraic Topology
TA📝
Dynamical Systems Theory
TSD📝
Commutative Algebra
AC📝
Functional Analysis
AF📝
Numerical Optimal Control
CON📝
Statistics of Extremes and Applications
EEA📝
Introduction to Learning Theory
ITA
Applications Option I
OA-I
Applications Option II
OA-II
Doctoral Option I
OD-I
Doctoral Option II
OD-II
Doctoral Option III
OD-III
Doctoral Option IV
ODI
Mathematics Option I
OM-I
Mathematics Option II
OM-II
Mathematics Option III
OM-III
Symbolic Knowledge Discovery
DSCon
Introduction to Supersymmetry
IS
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