M.Sc in Data Analytics
The programme is based on three strands: Data, Tools & Techniques and Analytics. The programme aims to equip graduates with the skills, attitudes and competencies to engage as a data analytics practitioner in fields as diverse as finance, science, web analytics, engineering sports management and bioinformatics. Covering in-demand subjects such as databases, visualisation, SQL, Python, statistics and the R programming language, students will get an opportunity to apply these topics in a practical, capstone project.
Take the guesswork out of decision making with the TUS M.Sc in Data Analytics.
Data Analytics is the process of examining vast quantities of data, often referred to as Big Data, in order to draw conclusions and insights about the information they contain. Some examples of Data Analytics applications include real-time fraud detection, complex competitive commercial analysis, website optimisation, intelligent air, road and other traffic management and consumer spending patterns.
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Big Data presents three primary problems: there’s too much data to handle easily; the speed of data flowing in and out makes it difficult to analyse; and the range and type of data sources are too great to assimilate. With the right analytics and techniques, these big data can deliver hidden and unhidden insights, patterns and relationships from multiple sources using Data Analytics techniques.
TUSÂ has developed an industry-focused, contemporary M.Sc programme that will equip graduates with the skills and aptitudes necessary to excel in the emerging field of Big Data and Data Analytics. This programme will ensure that you will be able to understand the data context, apply appropriate techniques and utilise the most relevant tools to generate insights into such data.
Applied Research Project- In Semester 3 of the programme, students will be required to undertake a data analytics project and associated thesis of 20,000 words.
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Classroom- One Year Full Time
Year 1
Semester 1: (January – May)
Databases (incorporating SQL)
Statistics for Data Analytics
Programming for Data Analytics (Using the Python language)
Semester 2: (September – December)
Data Analytics and Interpretation (Using the R language)
Advanced Databases
Advanced Analytics
Year 2
Semester 1: (January – May)
Research Methods
Data Visualisation
Semester 2: (September – December)
Applied Research Project, including 20,000 word thesisA Level 8 or equivalent honours degree in Business, Science or Engineering, with a minimum grade of 2.1 (60%), comprising of at least 30 ECTS credits in any combination of maths, computer science or engineering. In line with institute policies, non-native English speakers are required to have an IELTS level of 6.5 or higher.
All applicants will be subject to an interview.
Induction – Saturday 11th September 2023
Classes – Week commencing Monday 13th September 2023
€3500 per year (reduced fees available – see details to the below)
We are delighted to announce a partnership with Midland Border East Skillnet that will entail a reduction in fees for all qualifying students. As an applicant, you do not have to do anything extra. Once you apply and have been offered a place on the programme, MBE Skillnet will contact you in relation to the fee reduction. Check out our Social Media channels for more details.
2 Years P/T
Level 9 NFQ , 90 ECTS
The Expert Group on Future Skills Needs report identified Data Analytics as an area of skills deficit. Given the wide range of industries in which Data Analytics can be utilised, the demand for Data Analytics graduates continues to soar. According to careers website, indeed.ie, in Ireland the average salary is for a Data Analyst is €45,757.
As Data Analytics is a relatively new and emerging field, the application of analytics spans a vast range of industries including finance, marketing, healthcare and biopharma. Career opportunities for graduates of this programme include:
- Data Analyst
- Data Scientist
- Performance and Analytics Analyst
- Data Operations Analyst
- Financial Market Analyst
- Business Intelligence Analyst
- Customer Insight Analyst
Design Your Learning Experience
Our flexible courses will suit your needs
We understand that every student has unique needs and schedules. That’s why we offer a wide range of flexible courses to suit your individual needs. Whether you’re a working professional looking to upskill or a full-time student balancing coursework and extracurricular activities, our courses are designed to fit into your busy lifestyle. With options for online, in-person, and hybrid learning, you can choose the format that works best for you.Â
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