Overview
From retail and sports science to journalism and fintech, data scientists are increasingly at the heart of business and government. Whether it’s enabling product recommendations or helping a sports team decide what player to buy next, data science can unlock the secrets of any sector.
If you like maths, creative problem solving and collaborative work, data science could really appeal to you. This course sits at the intersection of computer science, maths and business, enabling you to understand what is possible with cutting-edge technology such as machine learning and artificial intelligence.
Become a skilled communicator
Not only will you learn programming skills and advanced maths so you can analyse and find trends in real world data, but you’ll also gain the communication skills to convey these insights to audiences who’ll appreciate the value of your analysis. You’ll study mathematics, statistics, programming, computational linguistics, computational modelling, cloud technologies, innovation and so much more.
In third year, you’ll get to complete a nine-month INTRA work placement and also have the chance to study abroad. And after you graduate? Almost every industry is crying out for data scientists, data engineers and AI data scientists, so the career opportunities following this course are boundless.
DCU People
Hi my name is Brian Cafferty and I am a 3rd year Data Science student here in DCU.
Read more about Brian Cafferty
I have just completed my final year of studying data science at DCU, and it has been an exceptional journey.
Read more about Jane Adkins
(Photo by Matt Browne/Sportsfile)
Read more about George Dockrell
I chose this course because I enjoyed maths in secondary school and I felt that I could handle a maths-heavy degree.
Read more about Caoimhe Duignan
Entry Requirements
In addition to the general entry requirements for admission to the university the following entry requirements apply
Minimum of H3 in Mathematics.
In addition to the general entry requirements for admission to the university the following entry requirements apply
GCE A Level B Mathematics
Please visit our Admissions webpage for details on course requirements or how to apply to DCU.
Please visit our QQI FET webpage for details on DCU courses, open days, campus tours or school visits.
To apply to DCU, please visit www.cao.ie.
Applicants that have completed at least one year of study at NFQ Level 6, 7 or 8 at another institution may apply to continue their studies on a similar programme at DCU. There should be substantial overlap in content between the two programmes to be considered for a transfer. Results and other supporting documentation must be submitted to CAO by the closing date of 1st July. This is a competitive application process for a small quota of advanced entry places. Offers are made on a rolling basis until all places are filled. Early application is advised. Please note: Applicants should also consider applying through the appropriate route for first year entry to the programme they are interested in. This application process is only for advanced entry.
International candidates are expected to have educational qualifications of a standard equivalent to those outlined above. In addition, where such candidates are non-native speakers of the English language they must satisfy the university of their competency in the English language. 大发体育在线_大发体育-投注|官网 here for further information on international applications.
Course Structure
The DCU BSc in Data Science combines the three key skill sets of computing, mathematics and enterprise to provide the core knowledge needed to succeed in this growing area. The course will introduce students to the major concepts in data analytics, management, processing, modelling, visualisation and enterprise. Partnering with industry provides opportunities to engage with real-world problems and data sets. You will learn to program, to study mathematics and learn to apply these skills to data from the real world, communicating the results to different audiences.
For more information on the programme content visit www.datascience.dcu.ie.
- Computer Systems
- Computer Programming I
- Computer Programming II
- Data Science and Databases
- Introduction to R
- Linear Mathematics I
- Linear Mathematics II
- Probability 1
- Calculus and its Applications
- Developing Internet Applications
- Computer Programming 3 (Data Structure & Algebra)
- Computer Programming 4 (Object Oriented Prog)
- Data Warehousing and OLAP
- Introduction to Machine Learning
- Data Processing and Visualisation
- Programming for Data Analysis
- Calculus of Several Variables
- Statistics I
- Statistics II