Applied Data Science & Analytics - Blanchardstown

Key Points:
Geared towards professionals
High completion rates
High likelihood of peer-reviewed publications from course work
International network of students
Alumni network working in senior data science roles

The course has gained a significant reputation for its high quality, practical approach and relevance to industry contexts. Modules are designed around a data science methodology, allowing integrated coursework that emphasises both mathematical rigour, and data science models that generate actionable insights.

It is ideal for individuals working with, or with access to, data in a real context that allows project work to bring relevance to their day job. The course has attracted cohorts of students that are highly motivated and work to a high standard. It was shortlisted for Grad Ireland’s Post Grad of the Year awards a number of times. Enrolment numbers are kept small to maintain the quality of the course.

While 83% of our graduates live in Ireland, we have had graduates complete the MSc from Canada, Germany, Greece, India, Malta, Netherlands, South Africa, Thailand, UK, USA and Zimbabwe. The average age of participants is 38, evidencing a teaching practice and delivery mode that successfully targets continuing education and lifelong learning. The majority of students have some experience working with data and are looking to upskill by acquiring a deeper theoretical understanding and practical experience of working in a data science discipline.

Graduates are working as data scientists across a variety of industry sectors and companies including Ericsson, IBM, Microsoft, PayPal, Intel, O2, Vodafone, Aer Lingus, Ryanair, Emirate Airlines, Dublin Airport Authority, GlaxoSmithKline, Mallon Technologies, Bank of Scotland, Arvato Finance Solutions, Sky Ireland, Eir, VHI Healthcare, United Healthcare Group, Accenture, SAP, FBD Insurance, Deutsche Bank, Ulster Bank, IBM and many others. Those working in the public sector included employees with MABS, GMS Payments Board, Dun Laoghaire – Rathdown Public Library Service, Dublin City Council, Intelligent Transport Systems, Higher Education Institutions and An Garda Síochána.

The course focuses on the knowledge and skills to select, apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. Students will gain both an in-depth theoretical understanding and practical hands-on experience, including implementing novel and emerging techniques. Participants will be kept abreast of current research and state of the art in data science-related topics. Details of the modules are given below.

For further detailed information in relation to this course, please visit the dedicated course website - https://www.applieddatasciencemasters.com/masters-degree/

Year 1 Semester 1
Business Intelligence
Data Mining Algorithms

Year 1 Semester 2
Data Pre-processing and Exploration
Data Science Applications

Year 2 Semester 3
Electives:
Text Mining and Web Content Mining
Geospatial Data Mining and Knowledge Discovery
Programming for Big Data
Statistics
Multimedia Mining
* Two electives must be selected

Year 2 Semester 4
MSc Research Project

Minimum Entry Requirements?
The minimum entry requirement is a Second Class Honours Grade 2 (GPA 2.5 or equivalent), in a NFQ Level 8 Degree in Computing, Science, Engineering, Business with IT, or equivalent qualification.

The acceptance of candidates with Third Class Honours degrees and appropriate work experience and industrial certification on this course will be allowed provided there is evidence that the candidate can cope with the learning objectives of the course.

Applicants will be requested to submit the following information to enable us score and rank applicants in order of merit.

-A Curriculum Vitae
-Copy of your level 8 award, transcripts for each year showing modules studied and classification of the award. Where transcripts are not in English, you must provide a copy of the original language documents and certified English translations.
-You will also be asked to answer five questions relating to your experience in working with data, statistics, interest in the course etc. We will email the template for completion on receipt of your online application.
-If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6.5 overall (or equivalent).

Applications for courses commencing in September 2024 will open in November 2023.
Apply directly to college.

2 years

Mode of Study Part Time
Method of Delivery Online

Schedule
Online Year 1: Tuesday and Wednesday 6pm-9pm
Online Year 2: Monday and Wednesday 6pm-9pm
All classes are recorded.

Commencement Date: September 2024

What are my career opportunities?
The Master of Science in Computing in Applied Cyber Security will give the skills and knowledge to secure business and personal data and allow graduates to work as security professionals in any of the business and industry sectors.

Former graduates currently work in Deloitte, Integrity360, Fidelity Investiments, Triology, Forcepoint, Rits, Espion, BH-Consulting, Liberty IT, Cobalt Technology, Ward Solutions and larger international companies like Qualcomm, IBM, Deloitte, EY, KPMG, Grant Thornton, Amazon, Google, Microsoft, Ericsson, Zurick Insurance and many more.