BSc (Hons) in Mathematics and Data Science
Course Overview
The course builds strong foundational knowledge in the areas of Mathematics, Statistics and Programming. Well-rounded computing skills are developed allowing students to focus in on high-tech areas within the data and computing domains.
These skills will be built alongside essential programming capability and Systems knowledge: Programming in R & Python, Data/Big Data and Distributed Data Systems, while developing strong mathematical reasoning and in-depth understanding in areas of Computational Mathematics and Mathematical Analysis: Logic, Number Theory, Linear Algebra, Calculus and Mathematical Modelling.
What makes this course different
Work Placement or Study Abroad
There is a 15-week work placement in Year 3 and study also have the option of undertaking a year of study abroad.
Pathway to Teaching
Students who complete the course can progress to complete a Post-graduate Diploma in Education, which depending on Teaching Council requirements, would allow them to move into a career in secondary school teaching in Mathematics and Computer Science.
Great Career Prospects
Data Analytics is identified, both nationally and internationally, as a key future skill and the demand for Data Scientists, Data Analysts and highly numerate graduates continues to grow alongside the massive amounts of available data.
Understanding the Industry
Data Science is the study of information - where it comes from, what it tells us and how to turn it into a valuable resource which enables businesses to make decisions, solve complex problems and create strategies to improve results and performance. Data is being used increasingly in every industry, not just computing. From finance and healthcare to sporting and commercial businesses. People capable of pulling solutions from data’s patterns are becoming increasingly valued employees.
Data Analytics is identified, both nationally and internationally, as a key future skill and the demand for Data Scientists, Data Analysts and highly numerate graduates continue to grow alongside the massive amounts of available data. The course is well suited to numerate students who are looking to develop a more applied, industry-focussed skillset than offered by traditional mathematics courses.
Career Opportunities
This course builds advanced skills in programming, mathematics and statistics, databases and data mining, combined with highly developed problem-solving skills and will allow graduates to take on different roles in a variety of sectors.
Future Careers:
- Data Scientist
- Sport Analyst
- Healthcare Statistician
- Data Analyst
- Data Visualization Developer
- Junior Intelligence Designer
- Statistician
In these areas:
- Banking
- Finance
- Healthcare
- Sport
Course Delivery and Modules
This course is delivered in a combination of lectures, lab classes and tutorials. There are numerous support services available within the department to enable and encourage all students to realise their personal and professional potential.
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Year 1
- Introduction to Programming for Data Analytics
- Probability & Statistics
- Data Science Fundamentals
- Pre-Calculus
- Logic
- Communication Skills
- Bias in Computing
- Tools for Software Development
- Linear Algebra
- Discrete Mathematics
-
Year 2
- Object-Oriented Programming for Data Analytics
- Statistics
- Study Design
- Database Systems
- Geometry
- Analysis
- Project Management
- Big Data Systems
- Number Theory
-
Year 3
- Data Visualisation and Insight
- Distributed Data Systems
- Artificial Intelligence
- Applied Probability
- Cryptography
- Analysis
- Work Placement (15 weeks) OR Approved Semester Abroad
-
Year 4
- Project
- Machine Learning
- Research Methodology
- Data Mining
- Differential Equations
- Advanced Statistics
- Ethics & Professional Practice in Data Science
- Time Series Analysis
- Mathematical Modelling
Work Placement
Students undertake a 15-week work placement in year 3. Students also have the option of undertaking a year of study abroad.
Education Progression
Fees and Funding
Please find information on fees and funding here: www.dkit.ie/fees
Entry Requirements
In addition to the standard entry requirements below, Maths Grade 02 or H6 is also required. Applicants from NI/UK require a GCSE Maths Grade A or AS Level Grade C or A Level Grade E.
- Standard Requirements for Leaving Certificate Applicants
- Standard Requirements for UK/NI Applicants
- Standard Requirements for QQI-Further Education Applicants
Additional Maths Entry Exam at DkIT:
If you have failed to meet the additional Maths Entry Requirements for this course (but you have met the basic maths entry requirement for a level 8 programme at DkIT), you have a second chance at meeting these additional Maths Entry Requirements by sitting the DkIT additional Maths Entry Examination, held in August of each year. More details about the maths entry exam.
Recent CAO Points
310
How To Apply
Apply on CAO
All standard entry first-year applicants must apply for entry through the CAO. See Important application dates for CAO and information for specific applicant types below:
Advanced Entry & Transfer Applications
Advanced Entry is for applicants who have previous educational achievements and/or work experience and want to be considered for direct entry into year 2, 3, or 4 of a course. This includes students looking to transfer to DkIT from another Higher Education provider.
International Application (non-EU)
International Applicants (not from or living in the EU) can apply through an agent or directly to DkIT to study this course.
Ask us a Question
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Disclaimer: All module titles are subject to change and for indicative purposes only. All courses are delivered subject to demand and timetables are subject to change. Elective Module options will only run subject to student numbers. The relevant Department will determine the viability of each elective module option proceeding depending on the number of students who choose that option. Students will be offered alternative elective modules on their programme should their preferred elective option not be proceeding. Award Options for Common Entry Programmes: The relevant Department will determine the viability of each award option proceeding depending on the number of students who choose either option. If the numbers for one of the Award options exceed available places, students for this option will be selected based on Academic Merit (highest grades).