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.
University College Dublin
Overview:
University College Dublin (UCD) is a leading research-intensive university located in Dublin, Ireland. It is known for its commitment to academic excellence, innovation, and global engagement. UCD offers a wide range of undergraduate and postgraduate programs across various disciplines.
Student Life and Campus Experience:
UCD provides a vibrant and diverse campus experience for its students. The university emphasizes the holistic development of its students, offering a range of opportunities for personal and professional growth.
Key Reasons to Study There:
Research Excellence:
UCD is renowned for its strong research output and collaborations with industry partners.Global Partnerships:
The university boasts a vast network of partner institutions worldwide, providing students with opportunities for international study and exchange.Transformational Learning:
UCD focuses on providing a transformative learning experience that fosters critical thinking, problem-solving, and leadership skills.Other:
UCD is actively involved in promoting sustainability and social responsibility. The university is committed to creating a positive impact on society through its research, teaching, and engagement activities.
Entry Requirements:
This programme is intended for applicants with a degree in a numerate subject. An upper second class honours or international equivalent is required. Those without this requirement, but with equivalent experience in industry, will also be considered on a case-by-case basis, or can apply for the Professional Certificate in Mathematics for Data Analytics and Statistics which leads directly into the Data Analytics programme.
Language Proficiency Requirements:
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.