Máster de Formación Permanente en Big Data, Data Science e Inteligencia Artificial
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Online
Big data is poised to change the way enterprises function and a society operates, and is changing the way science and engineering is conducted. The MSc program in Big Data Technology jointly offered by the Departments of Computer Science and Engineering and Mathematics integrates different disciplines together to allow students to know all the important aspects of the big data and how it is used in the real world.
Applicants must possess a bachelor’s degree in Computer Engineering, Computer Science, Mathematics or a related field from a recognized university or tertiary institution. Applicants with a bachelor’s degree in other disciplines must have relevant working experience in IT and Mathematics related fields.
The target students for this MSc are graduates of computer / mathematics-related Bachelor´s programs and working professionals in industry, government or other institutions. Fresh graduates who have good academic record are also our targets.
The program is aimed at educating students about big data and issues related to big data. The students are expected to be familiar with the workflow of big data systems and social and societal implications of big data systems.
The program helps to integrate different disciplines together and students in this program will learn the major components of big data:
big data infrastructure
big data integration
big data storage
big data modeling and management
big data computing systems
big data analytic and mining systems
big data security, policy and social implications, as well as human factors
big data applications in various fields (data science)
Students must complete 30 credits of coursework, with 12 credits of core courses and 18 credits of elective courses. Students shall take ten 3-credit taught courses or eight to nine 3-credit taught courses plus independent project(s) offered from the program. Each course listed below carries 3 credits.
Core Courses
MSBD 5001 Foundations of Data Analytics
MSBD 5002 Data Mining and Knowledge Discovery
MSBD 5003 Big Data Computing
MSBD 5004 Mathematical Methods for Data Analysis
Elective Courses
MSBD 5005 Data Visualization
MSBD 5006 Quantitative Analysis of Financial Time Series
MSBD 5007 Optimization and Matrix Computation
MSBD 5008 Introduction to Social Computing
MSBD 5009 Parallel Programming
MSBD 5010 Imaging: Data Analytics and Pattern Recognition
MSBD 5011 Advanced Statistics: Theory and Applications
MSBD 5012 Machine Learning
MSBD 5013 Statistical Prediction
MSBD 5014 Independent Project
MSBD 6000 Special Topics
Courses are offered subject to needs and availability.