NFQ Level 9
Classroom - Daytime
Augusta AdekoyaEmail Phone
Institute of Technology Carlow
The MSc in Data Science NFQ Level 9 programme provides students with a comprehensive knowledge base and skillset to fulfil and succeed in a variety of roles within data science driven organisations.
The programme is designed to meet current industry needs and provides students with a thorough theoretical and practical grounding in the analysis and utilisation of large data sets, together with experience in conducting data science development projects, thereby preparing graduates for positions of responsibility in the Big Data and IT industries.
The aim of this programme is to provide learners with an understanding and ability to critically evaluate and utilise data analytics and the associated processes, systems, algorithms, technologies and insights garnered, ethically, in appropriate contexts. The programme also focuses on current research in the field and enables participants to review and critically assess this research.
Applicants must have obtained either a second class honours level 8 primary degree (or equivalent) in computer science or mathematical sciences or a second class honours level 8 primary degree (or equivalent) with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). In such cases, the programme team must be satisfied that the numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a H2.2 in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or Level 8) and a minimum of 5 years verifiable relevant industrial experience.
Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
The Master of Science in Data Science provides students with a thorough grounding in the analysis and use of large data sets, together with experience of conducting development projects, preparing graduates for responsible positions in the Data Science, Big Data and IT industries. As well as studying a range of taught courses reflecting the state-of-the-art and the expertise of our internationally respected academic staff, students undertake modules on infrastructure, programming and algorithms, and develop their own skills in creating a project proposal and in conducting a significant data science project.
Data science is the interdisciplinary field of study of processes and systems to extract knowledge or insights from data in a variety of formats, either structured or unstructured, which is a continuing evolution of traditional data analysis fields such as statistics, data mining, and predictive analytics. Data scientists who have successfully completed this programme are equipped to work in ICT, finance, business, insurance, marketing and retail, pharmaceutical, biotechnology, telecommunication, media, sports and other sectors. The programme delivers rounded graduates for technical development and/ or data science management positions in the previously mentioned sectors.
1 YEAR — PART-TIME
(run over 3 days of the week)
Institute of Technology Carlow
Apply online at www.springboardcourses.ie
To complete your application process you must email Springboard@itcarlow.ie with the following
(1) A scanned copy of your EU Passport, or a scanned copy of your non-EU Passport with a copy of your Stamp 4 visa. You are not required to provide a copy of your Public Services Card to verify ID.
(2) A copy of your Curriculum Vitae.
(3) A copy of your Level 7 Degree/ Major Award or highest other qualification. Translated if not in English
(4) A scanned copy of a recent payslip if employed showing your PPSN, or a scanned copy of a recent payment slip if in receipt of Jobseekers Allowance/ benefit, or a copy of a recent Bank Statement showing receipt of a different, eligible, Department of Employment Affairs & Social Protection, or a letter from your Accountant confirming that are Self-employed, or an Affidavit signed by you and the appropriate third-party confirming that you are a Homemaker. When sending jpgs they must be attachments to your email, -not jpgs within emails.