Msc in Big Data Management and Analytics

Griffith College, Ireland
Msc in Big Data Management and Analytics
Next enrollment cycle September 2024 See all cycles
Total Cost KES 2,294,346
Course Accredited By HECA
1 Years On Campus Postgraduate Degree Up to 25% scholarship

Campus: Dublin Main Campus. Take the next step in your career and become an independent, critically minded big data specialist This specialist Level 9 MSc in Big Data Management and Analytics aims to equip students with the necessary skills and analytic mind-set to pursue a career in a dynamic data analytics industry.

Designed specifically to address a growing need in the industry, the MSc in Big Data Management and Analytics at Griffith College is a 1 year programme which aims to build upon students' knowledge of computing science and create big data specialists. Delivered on a full-time basis, as a graduate of this course, you will:

  • Obtain specialist knowledge and skills essential for a career in Big Data Management and Analytics
  • Understand the advantages of concurrent & parallel programming systems along with developing the skill to write concurrent and parallel programmes to solve real-world problems
  • Gain a practical understanding of appropriate design and implementation strategies used in the development of Big Data solutions
  • Develop the skills to implement an end-to-end Big Data storage system using the most current technology available
  • Build on the foundations of analysis theories to explore the range of contemporary practices surrounding the ever-developing field of big data analysis
  • Fantastic job prospects with a 100% employment record from a sample of 35 graduates

Enrollment Cycles

  • September 2024
  • February 2025

Entry Requirements

  • Candidates applying for this course should have a 2.2 Level 8 honours degree in Computing Science, or a 2.2 Higher Diploma in Computing or related discipline or international equivalent and/or relevant work experience.


  • Big Data Analytics
  • Information Retrieval and Web Search
  • Concurrent and Parallel Programming
  • Cloud Computing
  • Big Data Management
  • Data Mining Algorithms and Techniques
  • Applied Data Science
  • Research Methods

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