Griffith College
Griffith College

MSc in Big Data Management Analytics

Griffith College, Ireland

Course Overview

Advance your career by stepping into the role of an independent and analytically-minded big data specialist. The Level 9 MSc in Big Data Management and Analytics is designed to provide students with the essential skills and mindset required to thrive in the dynamic field of data analytics.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€14000
Intake
September 2024 , February 2024 , January 2024
Language Proficiency

Under Graduation:60%

IELTS:6.5

Duolingo:115


Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Griffith College
University Details

Griffith College is among the largest colleges in Ireland, which was founded in 1974. The core faculties and schools of Griffith College include the Faculty of Business, Faculty of Journalism & Media Communications, Faculty of Computing, Griffith Institute of Language, Faculty of Counselling & Psychotherapy, Faculty of Design, Graduate Business School, Faculty of Engineering, Faculty of Professional Accountancy, Faculty of Law, Faculty of Music & Multimedia, Faculty of Pharmaceutical Science, Faculty of Professional Law, Faculty of Teaching and Learning, Faculty of Lifelong Learning and The Leinster School of Music & Drama.

Syllabus

Core Modules

Semester 1
  1. Big Data Analytics
    • Focuses on analyzing and interpreting large datasets to extract meaningful insights.
  2. Information Retrieval and Web Search
    • Covers techniques and algorithms for retrieving and analyzing information from web sources.
  3. Concurrent and Parallel Programming
    • Explores programming techniques for concurrent and parallel computing to optimize performance.
  4. Cloud Computing
    • Examines cloud technologies and their applications in storing and processing big data.
Semester 2
  1. Big Data Management
    • Discusses strategies and technologies for managing large-scale data storage systems.
  2. Data Mining Algorithms and Techniques
    • Introduces algorithms and methodologies for discovering patterns and knowledge from data.
  3. Applied Data Science
    • Applies data science principles to solve real-world problems using big data.
  4. Research Methods
    • Covers methodologies for conducting research, including qualitative and quantitative approaches.

Dissertation / Dissertation by Practice

  • Description: Students complete a substantial research project over a period of twelve weeks, applying their knowledge and skills to address a specific problem or explore an area of interest within big data management and analytics.

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