University Master`s degree programme in Advanced Analytics on Big

Transcription

University Master`s degree programme in Advanced Analytics on Big
Faculty
Organizers
JoséF.AldanaMontes,UniversidaddeMálaga
JoséM.CarrascoMora,UniversidaddeMálaga
JavierCuboVillalba,UniversidaddeMálaga
JavierDelSer,Tecnalia
Sponsors
ManuelDíazRodríguez,UniversidaddeMálaga
UniversityMaster’s
degreeprogrammein
AdvancedAnalyticson
BigData
RealapplicationsinSmartCitiesandUrban
Mobility,SmartGridsandEnergy,and
eHealthandPrecisionMedicine
BraulioDíezBotella,Lemoncode
STARTSONOCTOBER2016
M.CarmenFernándezGago,UniversidaddeMálaga
JoséM.GarcíaNieto,UniversidaddeMálaga
Contents
DanielGarridoMárquez,UniversidaddeMálaga
SergioGil,Tecnalia
ItziarLanda,Tecnalia
Hadoop,Spark,MongoDB,Excel,Hive,
OpenData,D3JS,PredictiveAnalytics,
ETL,OLAP,Visualization,SmartGrids,Text
Mining,InternetofThings,Cloud
Computing,Security
Empresas colaboradoras
en el programa de prácticas
JavierLópezMuñoz,UniversidaddeMálaga
AlejandroMatéMorga,UniversidaddeAlicante
Features
IsmaelNavasDelgado,UniversidaddeMálaga
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AntonioJ.NebroUrbaneja,UniversidaddeMálaga
IñakiOlabarrieta,Tecnalia
ErnestoPimentelSánchez,UniversidaddeMálaga
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MªdelMarRoldánGarcía,UniversidaddeMálaga
MaciekRybinski,UniversidaddeMálaga
90ECTScredits
Semi-distancelearning
EnrollmentFee:6.000€
TeachersfromAcademicand
Businessbackgrounds
PaidInternships(6months,1.000
euros/month)
Contact
JuanC.TrujilloMondéjar,UniversidaddeAlicante
KhaosResearch
Phone:951952918
Email:[email protected]
http://bigdata.lcc.uma.es
Enrollment
Programme
Description
Module1:IntroductionandBigData
ecosystem
TheMasterinAdvancedAnalyticsonBigDataisa
master’sdegreeofferedbytheUniversityof
Malagaincollaborationwithcompanieswith
extensiveexperienceinthefieldofdataanalysisin
BigDataapplications.Withahighlyprofessional
approach,itisaimedbothatprofessionalswho
wishtobroadentheirknowledge,technical
engineersandgraduateswithtechnicaltrainingin
computersciencewhohaverecentlycompleted
theirstudies.Itoffershigh-leveltrainingina
specializationthatintheimmediatefuturewillbe
highlyindemand.
Module2:Databases
Module3:NoSQLDatabases
Module4:BigDataEcosystemII
Module5:UseCaseI:
SmartMobilityLab
Module6:OpenData
Module7:PredictiveAnalytics
Pre-Enrollment:
29June2016to18September2016
Enrollment:
19September2016a30September2016
Fees6.000€(InstallmentPayment):
Pre-enrollment18September2016:2.000€
1stTerm30September2016:2.000€
2ndTerm15January2017:2.000€
Aims
Module8:DataAnalytics
Module9:DataVisualization
Module10:UseCaseII:
SmartGridsyEnergy
https://www.titulacionespropias.uma.es/c
ursos.php?codigo=3
Module11:TextMining
Module12:RealTime&InternetofThings
Module13:CloudComputing
Module14:Security
Module15:UseCaseIII:
eHealthyPrecisionMedicine
Module16:MasterThesis
Theterm"BigData"referstoapplicationsthatmust
processandanalyzeanenormousamountofdatato
beprocessedquickly(orinstreaming),andwhose
origincanbehighlyvaried.TheMasterinAdvanced
AnalyticsonBigDataisfocusedontheabilityto
analyzeallofthisinformationandhowtoobtain
valuableknowledgefromit.Itscontentsincludea
significantburdenontechnologies:Hadoopand
Spark,NoSQLdatabases,datavisualization,predictive
analytics;andtheapplicationofthreerealusecases;
advancedtopics,suchastheInternetofThings,cloud
computingandsecurity-relatedissueswillalsobe
addressed.Internshipsareinleadingcompaniesinthe
sector.
Module17:Internship*+
Requirements
GraduatesinComputerScience,
TelecommunicationsandIndustrialEngineering
graduatesandgraduatesinphysics,mathematics
andstatistics.Graduateswithtechnicaltrainingin
informationtechnology.
*PaidInternship(6months,1000euros/month)
+Internshipvalidation,ifthestudentisemployed
Professionalswithoutuniversitydegreebutwithat
least3yearsofprovenexperiencerelatedtothe
master’ssubjectmatter.Seniorengineersand
technicians.
Timetable
5October2016to30March2018
Face-to-faceClasses:
ThursdayandFriday,18.00-21.00
LessonHours:175
Internship:
September2017-March2018(sixmonths)
Additional Information
Website:http://bigdata.lcc.uma.es
Twitter:@BigDataUMA
Blog:https://bigdatauma.wordpress.com/
Showyourinterestoraskanyquestion:
http://goo.gl/forms/cDOnHHYoOcq0be642