Program Overview

---

MSc in Big Data Management and Analytics

Overview

The MSc in Big Data Management and Analytics is a 1-year postgraduate program designed to equip students with the necessary skills and analytic mind-set to pursue a career in the dynamic data analytics industry.

Course Details

Type

Postgraduate

Duration

1 Year Full-Time

Validated by

QQI

Mode

Full-Time

Campus

Dublin Main Campus

NFQ Level

9

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

Intake Dates

• Dublin - Full-Time - September 2025

What our students say

I found the course to be both challenging and rewarding as it gave me the opportunity to acquire a valuable accreditation whilst enhancing my computer expertise. The modules on the course are extremely interesting and beneficial, knowledge of which will prove useful in the IT marketplace.

ANNE-GAELLE GUILCHER
MSc in Computing

Related Courses

• MSc in Network and Information Security
• MSc in Cloud Computing
• Master of Science in Interactive Digital Media

Related articles

• Griffith Creative Show Launch: Spotlight on Photography, Computing and Digital Media
• Flexible Part-Time Courses at Griffith College for Career-Focused Professionals
• How ChatGPT is Transforming Computing Science

Modules

Big Data Analytics

This module aims to equip the learner with a range of most relevant topics that pertain to contemporary analysis practices, and are foundational to the emerging field of big data analytics.

Information Retrieval and Web Search

This module introduces the learner to the concepts of information retrieval (IR) and web search.

Concurrent and Parallel Programming

The future of microprocessor development is based around multiprocessor multicore architectures that will deliver the performance required for future application demands.

Cloud Computing

This module aims to introduce the learner to the concept of cloud computing and how it differs from the client server model of computation that is seen on the web today.

Big Data Management

This module aims to equip the learner with the skills to implement, from the batch to the speed layer, an end-to-end Big Data storage system using the most current technologies.

Data Mining Algorithms and Techniques

This module aims to give learners a thorough understanding of different data mining techniques, algorithms and tools necessary to infer information from large datasets.

Applied Data Science

This module aims to introduce the learner to the fundamental principles of data science and equips them with “data-analytic thinking” necessary for extracting useful knowledge and business value from the relevant datasets.

Research Methods

This module serves to significantly deepen the learner's research skills, both in relation to the module related assignments and later in the completion of a dissertation/dissertation by practice.

Timetables

Timetables will be made available closer to the starting date.

How to Apply

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.

Fees

Tuition Fees

• Irish/EU citizens, living in Ireland: EUR 7,900.00
• Irish/EU citizens, living abroad: Please refer to the Irish/EU Living Abroad Fees.
• International: Please refer to our Non-EU Tuition Fees section.

Flexible payment options

Students wishing to pay their fees monthly may avail of our direct debit scheme.

Progression

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.

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

FAQs

Q1: What is the course duration?

The course duration is 1 year for full-time students and 2 years for part-time students.

Q2. What study modes are available?

The MSc in Big Data Management and Analytics course is available in both full-time and part-time study modes.

Q3. What are the main career opportunities for graduates of the programme?

Graduates of the programme can pursue careers in a wide range of industries, such as finance, healthcare, retail, and technology. Potential job roles include data analyst, data scientist, big data engineer, machine learning engineer, and business intelligence analyst, among others.

Q4. What are the fees for the programme?

The fees for the programme can be found on the Griffith College website. As fees may change over time or vary depending on factors like nationality or study mode, it is advisable to check the course page or contact the admissions office for the most up-to-date information.

Q5. What are the payment options?

Griffith College typically offers various payment options for tuition fees, such as payment in full, payment by instalments, or payment through a sponsor. It is recommended to contact the admissions office or the finance department for specific details regarding payment options

Q6. What services are available to learners on campus?

Griffith College offers a variety of services to support learners on campus, including access to computer labs, a library, study spaces, and Wi-Fi. Additionally, students have access to academic support services, career services, counselling services, and various clubs and societies to enhance their overall learning experience.