Master's in Data Science and Engineering courses

About MECD: admission, outcomes and more
Mandatory exam

1st Semester

Machine Learning
AA
★★★★★
4.1 (21)
Moderate
Image Processing and Vision
PIV
★★★★★★
2.3 (12)
Moderate
Artificial Intelligence and Decision Systems
IASD
★★★★★★
2.7 (7)
Moderate
Introduction to Mathematical Finance
IMF
★★★★★
3.0 (6)
Moderate
Spoken Language Processing
PF
★★★★★★
3.5 (6)
Heavy
Multivariate Analysis
AM
★★★★★★
3.4 (5)
Moderate
Parallel and Heterogeneous Computing Systems
CSPH
★★★★★
4.8 (4)
Moderate
Information and Communication Theory
TIC
★★★★★★
4.3 (4)
Light
Statistical Methods in Data Mining
MEDM📝
★★★★★★
2.5 (2)
Light
Big-Data Measuring Systems
SMGE
★★★★★★
4.5 (2)
Light
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
Applied Computational Intelligence
CI
★★★★★
5.0 (1)
Very light
Computational Statistics
EC📝
★★★★★
3.0 (1)
Moderate
Mathematical Statistics
EM
★★★★★
5.0 (1)
Moderate
Applications of Data Science and Engineering
AECD
Component of Integrated Project in Data Science and Engineering
CPIECD
Natural Language
LNP1📝
★★★★★★
4.3 (19)
Light
Data Analysis and Integration
AIDP1📝
★★★★★★
4.4 (11)
Light
Information Visualization
VIP1
★★★★★★
3.7 (11)
Heavy
Computational Biology
BCP1📝
★★★★★
3.8 (10)
Moderate
Network Science
CRCP1📝
★★★★★
4.2 (9)
Moderate
Decision Support Models
MADP1📝
★★★★★
3.8 (4)
Moderate
Logistics and Operations Management
GLOP1
★★★★★
5.0 (1)
Heavy
Geostatistcs
GP1
Deep Learning
APP2📝
★★★★★★
4.3 (20)
Moderate
Information Systems and Databases
SIBDP2📝
★★★★★★
4.3 (3)
Light
Remote Sensing
DRP2

2nd Semester

Optimization and Algorithms
OA
★★★★★★
4.3 (14)
Light
Spoken Language Processing
PF
★★★★★★
3.5 (6)
Heavy
Data Analytics for Smart Grids
ADRI
★★★★★
4.0 (5)
Heavy
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
Mathematics for Machine Learning
MAA📝
★★★★★★
3.5 (2)
Light
Communications Security
SC
★★★★★★
3.5 (2)
Light
Applied Bayesian Statistics
EBA📝
★★★★★
1.0 (1)
Light
Time Series Analysis
ST
★★★★★
2.0 (1)
Moderate
Multimedia Communication
CM
Learning-Based Multimedia Processing
PMBA
Planning, Learning and Intelligent Decision Making
PADIP3📝
★★★★★
3.1 (14)
Moderate
Parallel and Distributed Computing
CPDP3📝
★★★★★
3.1 (9)
Moderate
Data and Information Systems Management
ADSIP3📝
★★★★★★
4.3 (7)
Light
Advanced Algorithms
AAP3📝
★★★★★★
3.5 (6)
Light
Cloud Computing and Virtualization
CNVP4📝
★★★★★
3.9 (11)
Heavy
Intelligent Retrieval Systems
SIPP4📝
★★★★★
3.0 (5)
Moderate
Decision Support Models
MADP4📝
★★★★★
3.8 (4)
Moderate
Enterprise Integration
IEP4📝
★★★★★
4.0 (3)
Moderate

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