MSc in Computing (Data Analytics)

• URL: http://www.dit.ie/studyatdit/postgraduate/taughtprogrammes/allcourses/computingdataanalyticsmscdt228aftdt228bpt.html
• Programme Code: DT228B PT
• Qualification Awarded: MSc (Computing - Data Analytics)
• NFQ Ireland: Level 9 (60 ECTS)
• Durantion: 2 Years (min)
• Start Date: September 2017
• Location: College of Sciences and Health, DIT Kevin Street, Dublin 8
  • delivered by: School of Computing
• Notes: Goggle Drive: MsC Computing (DA)

Course Content

• Specialist Core Modules
  • Probability & Statistical Inference
  • Machine Learning
  • Data & Database Design for Data Analytics
  • Data Management
  • Data Mining
  • Visualisation
• Critical Skills Core Modules common to all MSc in Computing specialisms
  • Problem Solving, Communication and Innovation
  • Case Studies in Computing
  • Research Writing & Scientific Literature
  • Research Methods and Proposal Writing
• Option Modules (Two required)

  Students can also take specialist core modules from the other MSc streams as optional modules, subject to availability and schedules.

  • Geographic Information Systems
  • Spatial Databases
  • Ubiquitous Computing
  • Universal Design
  • Man and Machine
  • Bioinformatics
  • Programming for Big Data

Structure

Full details: http://www.dit.ie/computing/prospectivestudents/msc/structure/

• (i) Critical Skills Core Modules common to all MSc in Computing specialisms
  • Research Writing & Scientific Literaturepass
  • Research Methods and Proposal Writing
  • Research Project & Dissertation
• (ii) Specialism Core Modules which vary depending on the specialism (Data Analytics)
  • Working with Data
  • Probability & Statistical Inference
  • Data Mining
  • Machine Learning
  • Data Management
  • Data Visualisation
• (iii) Option Modules

  Students may also take Specialism Core Modules from other specialisms as Option modules, subject to scheduling. A selection of option modules will be offered each year. Option modules availability will be subject to a threshold minimum number of interested students.

  • Geographic Information Systems
  • Programming for Big Data
  • Problem Solving, Communication and Innovation
  • Social Network Analysis
  • Linear & Generalised Regression Models
  • UX Design
  • Universal Design
  • Case Studies
  • Speech & Audio Processing