Big Data Management & Analytics

Overview

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.



Why Study Big Data at Griffith College?

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



Course Highlights

• Emerging discipline with huge job opportunities

• Develop highly sought after skills

• Fully aligned with industry needs

• Access to innovative tools and technologies

• A dedicated experienced lecturing team

Subjects taught

This programme contains eight taught modules and a final Dissertation / Dissertation by Practice. Four modules are taught per semester; so learners complete eight taught modules over two semesters and then complete a project over a period of twelve weeks. The overall programme is one calendar year long.



Learners who successfully complete eight taught modules and do not wish to submit their dissertation may decide to exit with an award of Postgraduate Diploma in Big Data Management and Analytics (60 ECTS, level 9).



Modules

• 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

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.



English Language

Griffith College is accepting the online Duolingo English Test (DET) as valid proof of English proficiency.

Application dates

To apply for the MSc in Big Data Management and Analytics please submit an online application.



A member of our admissions team will then be in contact with you to request to following documents:

• A copy of your undergraduate degree transcripts

• A copy of your passport or driving licence

Duration

1 year full-time.

Enrolment dates

Intake Dates: February 2025 | September 2025

Post Course Info

Academic Progression

On completion of the Level 9 MSc in Big Data Management and Analytics, students may progress onto a range of Level 10 Doctoral programmes on the National Qualifications Framework. The Postgraduate QQI validation means that your qualification is recognised not only in Ireland and Europe but throughout the world.



Career Progression

Through the MSc in Big Data Management and Analytics, you will have gained valuable professional experience, specialised in a key emerging field and developed many technical skills. There is a wide range of career options for our graduates including:

• Data Analytics

• Business Intelligence Analyst

• Big Data Solutions Lead Engineer

• Technical Product Manager

• Big Data Architect

• Data Analytics Consultant

• Video Analytics and Data Scientist

• Data Science Expert

• Multimedia Systems Developer

• IT Operations Manager

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider