Griffith College

MSc in Big Data Management and Analytics

MSc in Big Data Management and Analytics

MSc in Big Data Management and Analytics

This programme aims to develop independent, critically-minded specialists capable of analysing industry trends and opportunities in the field of Big Data.

MSc in Big Data Management and Analytics
Validated by:QQI
QQI Level:9
Overview

This course will provide you with the specialist skills necessary to find challenging and fulfilling employment in the dynamic I.T. sector. Or if you wish, you can further your education and obtain higher qualifications in computing.

This course enables you to become an independent, critically-minded specialist capable of analysing industry trends and opportunities in the field of Big Data. You’ll be able to take intelligent advantage of those trends and opportunities in the field of Big Data via robust and efficient practical solutions to data storage and analysis.

We prepare graduates to rigorously apply appropriate research, design and implementation strategies in the development of Big Data solutions. You’ll be about to perform in-depth, coherent, and ultimately significant reports on the state-of-the-art and the likely future directions of the field, with respect to a problem domain.

The course extends your in-depth knowledge, understanding and practical skills in meeting the specific technical and design requirements of exacting industry standards as they emerge.

1 Year Full-time, 2 Years Part-time

Please Note:

The duration for full-time students who commence the programme in Semester 2 will be 1.5 years

 

Structure

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 if studied on a full-time basis and over two years if studying on a part-time basis.

Modules Covered:

  • 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

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

Entry Requirements
Course 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.

Fees

Direct Debit Scheme

Students wishing to pay for their fees monthly may avail of our direct debit scheme, please download our Fee Payment Information document to review the payment plan schedule and how to apply.

Sponsorship

Is your company paying for your course?

They will need to complete a Griffith College Sponsorship Form and send this to the Student Fees Office:

  • Post: Student Fees, Griffith College Dublin, South Circular Road, Dublin 8
  • Email: accounts@griffith.ie:

All QQI accredited programmes of education and training of 3 months or longer duration are covered by arrangements under section 65 (4) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby, in the event of the provider ceasing to provide the programme for any reason, enrolled learners may transfer to a similar programme at another provider, or, in the event that this is not practicable, the fees most recently paid will be refunded.

Please Note: A registration fee of Euro 250.00 is applicable each academic year in addition to the fees quoted below.

Campus: 
Dublin
Study Mode: 
Full-Time
EU living Ireland: 
EUR 6,550.00
EU living Abroad: 
EUR 8,000.00
Non EU living Ireland: 
EUR 11,000.00
Non EU living Abroad: 
EUR 11,000.00
Campus: 
Dublin
Study Mode: 
Part-Time
Fee: 
EUR 6,550
How to Apply

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

 

Progression
Academic Progression: 

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

MSc in Big Data Management and Analytics Academic Progression
Career Progression: 

In a report on Big Data growth, IDC said visual data discovery tools will grow 2.5 times faster than the rest of the business intelligence (BI) market and spending on cloud-based Big Data and analytics (BDA) solutions will grow three times faster than spending for on-premises solutions.

However, Big Data is and will continue to be hamstrung by a lack of talent for the coming years. IDC predicts that in the U.S. alone there will be 181,000 deep analytics roles in 2018 and five times that many positions requiring related skills in data management and interpretation. However, there won't be enough qualified applicants to fill those jobs.

Big Data demand will create 4.4 million jobs globally but only one-third of those will be filled. That’s because Big Data analytics require skills beyond just using a dashboard to monitor data streams. You need a high level of skills in data science to set up your searches and parameters for designing filtering algorithms. You won't get those skills with a certification program, they require a master’s degree.

MSc in Big Data Management and Analytics Career Progression

Get in Touch

If you would like to find out more about this course, please do not hesitate in contacting a member of our admissions team.