Program Overview
The MSc in Data Analytics is a three-year, part-time program delivered entirely online. It equips students with the knowledge and skills of a practicing data analyst, including data collection methods, statistical model development, machine learning techniques, and proficiency in data science programming languages. Graduates of this program are highly employable in a variety of industries, including healthcare, finance, and cloud computing.
Program Outline
Degree Overview:
This online MSc in Data Analytics is a 3-year, part-time program designed for students who wish to develop a career or further studies in data analytics and related disciplines. The program aims to equip students with the in-depth knowledge and skills required by a practicing data analyst, including data collection methods, statistical method development, knowledge and application of machine learning techniques, and proficiency in several data science programming languages. The program emphasizes online learning, providing students with videos, online demonstrations, and interactive games to enhance their learning, with regular feedback and interaction with course tutors. The program is delivered entirely online, allowing students to learn at their own pace and from any location.
Objectives:
The program aims to:
- Develop students' in-depth knowledge of the key skills required by a practicing data analyst.
- Foster proficiency in several data science programming languages, including R, Python, SAS, and C.
- Develop students' analytical, precise, and rigorous approach to problem-solving.
- Enable students to model a broad variety of real-world problems in a statistical framework.
Outline:
The MSc in Data Analytics covers 18 5-credit modules, two per trimester over 9 trimesters or 3 years.
Assessment:
The program is assessed using a variety of tools, including:
- Online assessment
- Individual project work to examine software-based skills
- Written examinations to test mathematical ability
Teaching:
The program is delivered entirely online, with no lectures to attend. Students are provided with videos, online demonstrations, and interactive games to enhance their learning.
Careers:
Data Analysts are in high demand from industry, and graduates of this program are highly employable in fields as diverse as pharmaceuticals, finance and insurance, as well as cloud computing. Some examples of prospective employers include:
- ICT companies (e.g., Google, eBay, Meta, Amazon, Paddy Power)
- The pharmaceutical industry (e.g., Janssen, MSD, GSK)
- The financial services industry (e.g., Bank of Ireland, AXA, EY, Accenture, Deloitte)
Other:
The program is aimed at students who have a passion for analyzing large data sets and are autonomous learners with a creative and critical approach to data analytics. The program provides a learning environment that encourages students to constructively solve data problems in real-world situations, using a variety of software, and to tailor such solutions to individual data sets as they arise.
