Data Science & Big Data Management courses

National College of Ireland

Bsc Honours In Data Science in National College of Ireland

  • Duration : 4 Years
  • Intake : Sept
  • Level : Undergraduate
  • Tuition & fees : € 10,000 Per Year
  • IELTS : 6.0
  • TOEFL : 78
  • PTE : 50

About Bsc Honours In Data Science in National College of Ireland

Data Science is the study of information - where it comes from, what it tells us and how to turn it into a resource for business, government and social strategies. Data can be used to examine performance in key areas of a company, such as sales and marketing, operations, customer services and security, highlighting what’s most and least effective, and driving change based on evidence, rather than gut instinct.

This honours degree will equip the students with the knowledge skills and competence to enable them to apply computing and analytical science and technology in the pursuit of discovering new information by identifying and validating patterns in data.

The course is practical in nature, providing you with knowledge of the way data science can solve real problems and facilitate business decisions based on evidence. It also incorporates work placement in a company which will significantly improve your skills and enhance your employability. Due to the shortage of suitably qualified data science professionals in Ireland and internationally, this degree offers exceptional job prospects for graduates.

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.

Career Prospects

As a graduate of this course you will be able to:

  • Understand how data can be valuable and can help solve business problems and facilitate business decisions.
  • Apply data transformation, modelling, mining and machine learning techniques to analyse and derive new knowledge and insight from data.
  • Design and implement data science algorithms and applications that solve real-world problems.
  • Effectively visualise and communicate the results of data analysis to support business decision making.
  • Adopt appropriate professional, ethical, legal, security and privacy principles in the construction and implementation of data science solutions.

By 2020, it is estimated that there will be a demand for 21,000 additional professionals with high-level data science skills in Ireland.

Graduates of the BSc Honours in Data Science at NCI, may consider a career as a data scientist, business intelligence analyst, customer insight lead, risk analyst, knowledge engineer, or data programmer.

Work Experience

The course is industry focused with a six-month work placement in the third year. NCI students are highly sought after and complete their work experience in companies like Microsoft, Eir, AIB, Irish Life, Vodafone, Intel, Citi, SAP, Workday.

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 or the MSc in Fintech at National College of Ireland.

CAO Points

There are no points for this course yet as this is a new course being offered for 2019.
The CAO course code is NC025.

Minimum entry requirements are a grade H5 and above in two higher level subjects together with a minimum of O6 in four other subjects. A minimum of grade H5 must be obtained in Mathematics. A minimum of grade O6 must be obtained in English.

Cambridge European Framework : B2
Cambridge Exams : FCE

National College of Ireland higlighs

Year of establishment 1951
Also Known As NCI
Total International Students 1300
Size of Campus in acres 20860883
UG/PG Course Ratio 1.03
No.of Campuses 1
Fees components - (1st year Fees and expense)

Tuition & fees :

€ 10,000


€ 10,000

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