Course Title: Bachelor of Science (Honours) in Physics with Data Science
Physics is the study of the basic principles that govern the physical world around us. This course will provide you with the scientific knowledge and skills required to be a Physicist in addition to learning about the applications of computing and data science techniques in physics and related sciences.
In Year 1 and 2, we will introduce you to a range of subjects including Physics Theory, Physics Problem Solving, Data Science, Numerical Methods and Computational Physics, and Mathematics. You will also get practical experience in a laboratory conducting a variety of stimulating experiments. In Year 3, you will undertake a seven-month work placement in industry or research, and in Year 4, you will study new subjects including Thermal Physics, Ionising Radiation and Nuclear Physics, and Particle Physics and Astrophysics.
Throughout the course, you’ll develop the crucial skills and attributes sought by employers, including interpersonal skills, adaptability, problem-solving and communication skills. IT, Computing and Data Science form a significant part of the course, which also includes extensive practical and project work.
Study Abroad Opportunities
In Year 3, you can choose to spend your work placement in a European country through the Erasmus programme.
Work Placement
In Year 3, you can choose to undertake your work placement in industry or a research setting.
Leaving Certificate Requirements
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Minimum Number of |
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Subjects |
Higher |
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6 |
2H5's |
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Minimum Grade in |
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Maths |
English OR Irish |
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O3/H7 |
O6/H7 |
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Other Grade Requirements |
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At least H4 in one of: Applied Mathematics, Physics, Chemistry, Physics and Chemistry, Biology, Computer Science, Agricultural Science, Engineering, Technical Drawing, Technology or Design and Communication Graphics. |
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QQI/FET Requirements
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QQI/FET Award Required |
Additional Requirements |
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Level 5: 1 OF THE FOLLOWING AWARDS: CASLT / 5M3807 Laboratory Techniques |
DISTINCTION(S) REQUIRED: 5 DISTINCTIONS WHICH MUST INCLUDE 1 OF THE FOLLOWING: C20139 / 5N1833 Mathematics |
| Level 6: Full level 6 award in a relevant discipline | |
In addition to the QQI minimum entry requirements, QQI quotas and QQI points apply. The max QQI points awarded is 390. Further details at www.tudublin.ie/qqi
Mature Applicants
Applications from mature students (23+) are welcome. Further details at www.tudublin.ie/mature
English Language Requirements
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website. Applicants for this course should have a minimum IELTS (Academic Version) English Proficiency of 6 overall (or equivalent) with nothing less than 6 in each component.
Click on the link below to view an indicative timetable for this course. Timetables are subject to change and up to date timetables will be provided to students on commencement.
View Sample Timetable
Graduate Job Titles
- Consultant
- Data Analyst
- Data Scientist
- Developer
- Director
- Lecturer
- Manager
- Physicist, Engineer
- Professor
- Researcher
- Risk Analyst
- Technician
Graduate Employers
- Abbott Diagnostics
- Accenture
- AIB
- DCU
- EPA
- Hertz
- HPRA
- HSE
- IBM
- Intel
- KBC
- Mater Hospital
- MicroSoft
- Pfizer
- RCS
- Realtra Space Systems
- Regeneron Pharmaceuticals
- James's Hospital
- Vincent's Hospital
- TCD
- The AA
- TU Dublin
- UCD
Semester 1
- Introduction to Chemistry [Mandatory]
- Introductory Mathematics [Mandatory]
- Physics Theory I [Mandatory]
- Physics Laboratory Stage I [Mandatory]
- Introduction to Medical Instrumentation [Mandatory]
- Physics Horizons & Programming for Physicists I [Mandatory]
Semester 2
Semester 1
- Mathematics for the Physical Sciences II [Mandatory]
- Physics Theory II [Mandatory]
- Physics Laboratory Stage II [Mandatory]
- Data Science 2 [Mandatory]
- Waves and Vibrations [Mandatory]
Semester 2
Semester 1
- Quantum Physics [Mandatory]
- Thermal Physics [Mandatory]
- Ionising Radiation & Nuclear Physics [Mandatory]
- Career Preparation and Structured Placement [Mandatory]
- Data Science 3 [Mandatory]
- Numerical Methods and Computational Physics 3 [Mandatory]
- Electromagnetisim and Optics [Mandatory]
Semester 2
Advanced Entry applications are accepted to this course. For further information on how to make an Advanced Entry application, please visit our CAO Hub. A full list of courses open for Advanced Entry are listed on the CAO website.
To qualify for Advanced Entry applicants must be currently studying, completing, or have successfully completed, studies at Level 6, 7 or 8 in a Higher Education Institution (HEI) or an equivalent, in a related area. You must demonstrate by providing transcripts of results that you have achieved the learning outcomes for each stage you wish to advance past, for example:
- To enter Year 2 via Advanced Entry, you must demonstrate that you have met the learning outcomes for Year 1.
- For entry to Year 3, you must demonstrate that you have met the learning outcomes for Years 1 and 2.
- For entry to Year 4, you must demonstrate that you have met the learning outcomes for Years 1, 2, and 3.
If English is not your first language you will need to provide evidence of your English language proficiency as detailed on our website.
On graduation, you may continue to postgraduate study at TU Dublin or elsewhere.