Data Science
NCI’s BSc (Honours) in Data Science is practical in nature, providing you with knowledge of the way data science can solve real problems and facilitate business decisions based on evidence.
| Award Name | Degree - Honours Bachelor (Level 8 NFQ) |
|---|---|
| NFQ Classification | Major |
| Awarding Body | QQI |
| NFQ Level | Level 8 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Degree - Honours Bachelor (Level 8 NFQ) | Major | QQI | Level 8 NFQ |
Duration
Four Years Full-Time
Specific Subjects or course requirements
Minimum entry requirements are a grade H5 and above in two higher level subjects together with a minimum of 06 in four other subjects.
A minimum of grade H5 must be obtained in Mathematics.
A minimum grade 06 must be obtained in English.
Please note: NCI offers a mathematics qualifying exam for students who would like to pursue the BSc Honours in Data Science. This provides prospective students with a second chance or an alternative way to meet the required mathematics standard of H5 in Leaving Certificate Maths. To find out more and register for the exam see www.ncirl.ie/ data-science.
Leaving Certificate General Entry Requirements
NCI operates the bonus scheme for Higher level Leaving Certificate Mathematics. 25 points will be added to an applicant’s points score for Higher level Mathematics for grades H6 and above.
Leaving Certificate Vocational Progamme LCVP
NCI recognises the LCVP for admission purposes, and results in the Link Modules element of the programme will be considered as follows:
Grade Points
Distinction 66
Merit 46
Pass 28
This is automatically computed by CAO. The Link Modules may be used as one of the six subjects for overall points calculation but will not be considered as a subject for the purposes of minimum entry requirements.
QQI FET Applicants General Information
NCI welcomes applications from students who are presenting QQI (formerly FET/FETAC) Level 5 and Level 6 awards.
For information on how to apply and minimum entry requirements go to the QQI Students link below.
Careers / Further progression
Career Prospects
Graduates from the BSc (Honours) in Data Science go on to work with a variety of organisations including multinationals, financial services and professional services companies. Related data science roles include data scientist, business intelligence analyst, customer insight lead, risk analyst, knowledge engineer, and data programmer.
Further Study Options
Upon successful completion of the BSc (Honours) in Data Science, graduates can progress to postgraduate courses in computing at level 9 on the National Framework of Qualifications such as the MSc in Data Analytics, MSc in Cybersecurity, MSc in Cloud Computing, MSc in Fintech or the MSc in Artificial Intelligence at National College of Ireland.
Further information
National College of Ireland is committed to providing equal access to education and equal opportunities for mature students. Students who are 23 years of age or older on 1st January can apply directly to NCI for entry to full-time education the following autumn. Applications will be accepted until 31st July. However, this closing date is subject to demand and therefore may change. For this reason and to avoid disappointment, it is advised that applications are submitted as early as possible. Further details can be obtained from the Admissions Office at admissions@ncirl.ie.
NCI also welcomes applicants for advanced entry into the second or third year of our full-time programmes. To be eligible for advanced entry, applicants must have undertaken specific courses and obtained certain results. Applicants should check with their individual institution or College of Further Education to find out to which courses this option is available. To find out more information regarding our advanced entry links, please contact Admissions at admissions@ncirl.ie. You can also contact Karen Campbell, School Liaison Officer at karen.campbell@ncirl.ie.
This course qualifies under the Free Fees Initiative and Student Grant Scheme.
Entry 2024
Early online application (discounted): Fee €30 Closing Date: 20 January 2024 at 5pm
Normal online application: Fee €45 Closing Date: 1 February 2024 at 5pm
Late online application - restrictions apply (see page 3 2024 CAO Handbook): Fee: €60 Closing Date: 1 May 2024 at 5pm
Change of Mind - restrictions apply (see page 3 2024 CAO Handbook): Fee: Nil Closing Date: 1 July 2024 at 5pm
Exceptional online late application (see page 34 of the 2024 CAO Handbook): Fee €60 Closing Date: 22 July 2024 at 5pm
Be sure to complete any action well in advance of closing dates. You should avoid making an application close to a closing date. No extensions to closing dates will be allowed and all application fees are non-refundable.
LATE APPLICATIONS
Late Applications are those which are received after 5pm on 1 February 2024. The closing date for late applications is 5pm on 1 May 2024, subject to the restrictions listed on page 3 of the 2024 CAO Handbook. The online facility for late applications opens on the 5 March 2024 at 12:00 noon - a fee of €60 applies.
Exceptional Late Applications (Exception to the timetable)
The exceptional closing date of 22 July at 5pm applies only to applicants who are registered as an undergraduate student on 1 May 2024 in any year in any one of the participating HEIs (subject to the exclusions listed below). In order to avail of the Exceptional Late Application facility you must have entered the HEI through the CAO system. This is an exceptional late closing date and all steps must be completed by 5pm on 22 July. No changes may be made after this date.
If you did not enter your current course through the CAO system, you must first contact the Admissions Office of the HEI to which you wish to apply and they will inform you if you may submit an application direct to the institution.
Exclusions:
You may submit a late application only for entry to courses other than your existing course. If you wish to repeat the year in the same course you must arrange this within your HEI.
Mary Immaculate College Limerick, Marino Institute of Education, Trinity College Dublin, University of Limerick and Maynooth University have special procedures in place in the case of current or previous students who wish to apply for entry to another course in the same HEI. Such applicants must contact their Admissions Office to determine the application procedure. However, if you are a student in another HEI and you wish to apply to any of these five HEIs, you should apply through CAO.
Refer to page 34 of the 2024 CAO Handbook on how to make an Exceptional Late Application.
Restrictions
As a CAO applicant you may experience one or more of the following restrictions based on your course choices, your category of application, or restrictions imposed by the HEIs that you wish to apply to. Please read the section on 'Restrictions' on page 3 of the 2024 CAO Handbook carefully. This section includes information on:
General Restrictions
1. Making a late application
2. Making changes to your course choices
Restricted Courses
3. Applying for a restricted course
Mature Applicants
4. Mature applicants
Supplementary Admissions Routes
5. Applying for DARE and/or HEAR
About the Course
NCI’s BSc (Honours) in Data Science is practical in nature, providing you with knowledge of the way data science can solve real problems and facilitate business decisions based on evidence. Due to the shortage of suitably qualified data science professionals in Ireland and internationally, this degree offers exceptional job prospects for graduates.
The course is industry focused with a six-month work placement in the third year, which will significantly improve your skills and enhance your employability. NCI students are highly sought after and complete their work experience in companies like Microsoft, Eir, AIB, Irish Life, Vodafone, Intel, Citi, SAP and Workday.
Graduates of this course can apply data transformation, modelling, mining and machine learning techniques to analyse and derive new knowledge and insight from data; understand how to design and implement data science algorithms and applications that solve real-world problems; can effectively visualise and communicate the results of data analysis to support business decision making; and are able to adopt appropriate professional, ethical, legal, security and privacy principles in relation to data science solutions.
Who is the course for?
This course will appeal to students who are interested in developing computing and numeracy skills and pursue a career in data science. The course is for school leavers, mature students, and graduates of QQI level 5/6 programmes who wish to embark on a course of full-time study.
Course Structure and Award
This four-year undergraduate course is run over eight semesters with continuous assessment held throughout and examinations at the end of each semester. On completion you will receive a QQI BSc (Honours) Degree in Data Science at level 8 on the National Framework of Qualifications. The course also prepares students for industry recognised certification in leading technologies.
Year 1
Semester 1
• Computational Thinking
• The Computing Industry
• Problem Solving and Programming Concepts
• Discrete Mathematics
• Introduction to Data Science
Semester 2
• Introduction to Data Modelling & Databases
• Computing Systems
• Programming I
• Statistics I
Year 2
Semester 1
• Programming II
• Advanced Databases
• Data Visualisation
• Statistics II
Semester 2
• Linear Algebra
• Data Mining & Machine Learning
• IT Project Management
• Programming III
Year 3
Semester 1
• Data Architecture
• Scalable Data Analytics
• Advanced Machine Learning
One elective from the following:
• Data Warehousing and Business Intelligence
• Artificial Intelligence
Semester 2
• Work Placement*
*Full six months within an organisation
OR
• Academic Internship
Year 4
Semester 1
Data Science Project
Two electives from the following:
• Systems Modelling, Simulation & Optimization for Analytics
• Strategic Data Analysis
• Neural Networks and Prescriptive Analytics
• Text Analytics
Semester 2
• Data Science Project
• Data Governance, Security & Ethics
One elective from the following:
• IoT Real Time Analytics
• Time Series and Financial Analytics
• Healthcare Analytics
Electives may include prerequisites, are subject to change, and availability is subject to class sizes.
National College of Ireland
Mayor Street, IFSC, Dublin 1
Tel: Reception (01) 4498500
Course/College Info: 1800 221 721
Email: info@ncirl.ie
Web: www.ncirl.ie