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MScBig Data Management and Analytics

Tuition fee

Generally tuition fee for a non-EU student would be: €14,000*

*with exception of the:
MSc in Pharmaceutical Business & Technology
and
MSc in Digital Transformation, where the fees are €15,000

In addition to the above R.I.A.P. fees of 835 apply and consist of:
- Registration Fee: €250
- International Student Support Fee: €200
- Protection of Enrolled Learner Fee: €285 (or €305 for programmes with tuition fee of €15 000) – (calculated as 2% of total tuition fee, plus registration fee before scholarship)
+
QQI (Quality and Qualifications Ireland) Award Fee of €200

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There are bursaries and scholarships available to non-EU students:

- Griffith College Bursary of €2000 (and €1000 in case of MSc in Pharmaceutical Business & Technology and MSc in Digital Transformation) – awarded to each successful applicant

- Academic Merit Scholarship (AMS) awarded to students demonstrating strong academic performance. Has 3 levels, offering an award of €500, €1000 or €1500 respectively.

NB! the amount of R.I.A.P. fees and bursaries available is subject to change and can depend on individual circumstances. To confirm the tuition fee applicable, as well as the amount of bursary available to you individually, please talk to your UA consultant.

More information

Expenses, accommodation, working etc.

griffith.ie/..ata-management-and-analytics 

Overview

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

Programme 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.

Career opportunities

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 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

Apply now! Fall semester 2021/22
Application period has ended

Application deadlines apply to citizens of: United States

Apply now! Fall semester 2021/22
Application period has ended

Application deadlines apply to citizens of: United States