Bachelor of Science (Honours) in Physics with Data Science

4 Years On Campus Bachelors Program

Technological University Dublin

Program Overview

TU Dublin’s BSc (Hons) in Physics with Data Science (TU880) is perfect for students who want to combine the problem-solving power of physics with the fast-growing field of data science. The program suits analytical thinkers who enjoy mathematics, computing, and applied science, offering a blend of physics, programming, and machine learning that prepares you for careers in technology, research, and industry.


Curriculum Structure

Year 1

Your first year builds a strong scientific foundation. You’ll study Fundamental Physics (PHYS1702), Fundamental Chemistry (CHEM1005), and Fundamental Biology (BIOL1411), alongside Mathematics 1 (MATH1510). Modules such as Applications of Physics (PHYS1023) and Professional Development Skills (BIOL1900) help you connect theory to practice, while Chemistry Laboratory Skills (CHEM1006) and Human Body and Disease (BIOL1410) add hands-on and interdisciplinary dimensions.

Year 2

In second year, you’ll begin to integrate physics with computing and analytics. Modules include Electronics (ELPH2701), Heat & Thermodynamics (PHYS2701), and Material Structure (PHYS2704). You’ll also study Optics/Optical Instrumentation (PHYS2707) and Astronomy, Environmental & Energy Physics (PHYS1704). Programming skills are developed through Introduction to Programming (PHYS1001), while Mathematics and Statistics (MATH2911 & MATH2912) strengthen your quantitative expertise.

Year 3

Third year emphasizes advanced applications of physics and data science. You’ll study Numerical Methods & Computational Physics (PHYS2836), Applied Optics (PHYS3701), and Semiconductor & Vacuum Technology (PHYS3706). Modules such as Acoustics and Industrial Noise & Vibration (PHYS3703) and Renewable Energy/Technology for Sustainability (PHYS3709) highlight applied contexts. A Year 3 Project & Professional Skills (PHYS3707) module allows you to apply your learning in a practical research or industrial setting.

Year 4

Your final year consolidates your expertise with advanced modules such as Data Science Applications in Physics (PHYS4801), Machine Learning for Scientists (PHYS4802), and Advanced Computational Physics (PHYS4703). You’ll also complete a Final-Year Project (PHYS4707), often linked to TU Dublin’s research centres, showcasing your ability to conduct independent research and communicate findings effectively.


Focus Areas

Physics fundamentals, data science, programming, machine learning, computational physics, renewable energy, applied optics, industrial applications.


Learning Outcomes

Graduates will be able to:

  • Apply physics principles to data-rich scientific and industrial contexts.
  • Use advanced computational and statistical tools to analyze large datasets.
  • Conduct independent research and communicate scientific findings effectively.
  • Transition into careers in technology, research, or education with confidence.

Professional Alignment (Accreditation)

This is a Level 8 NFQ Honours Bachelor of Science degree, preparing graduates for professional roles in physics and data science, and enabling progression into postgraduate study or accredited teaching pathways.


Reputation (Employability Rankings)

TU Dublin is consistently recognized for strong graduate employability, with physics graduates progressing into roles in data analytics, machine learning, renewable energy, and industrial R&D. TU Dublin holds the Athena Swan Bronze Award for equality in higher education and is a member of the European University Association, reflecting its international reputation.

 

Experiential Learning (Research, Projects, Internships etc.)

TU Dublin’s BSc (Hons) in Physics with Data Science (TU880) is designed to give you more than theory—it immerses you in practical, applied learning from the very beginning. You’ll spend time in laboratories, learn programming and computational methods, and apply data science tools directly to physics problems. By your final year, you’ll complete a major research project and benefit from TU Dublin’s strong industry and research connections.

Students gain practical skills through structured lab modules, computing workshops, and applied projects that mirror professional practice. To show you how experiential learning is embedded in this program, here are the highlights:

  • Specialist Laboratories: Access to TU Dublin’s physics labs at the Grangegorman campus, equipped for optics, electronics, acoustics, and computational physics experiments.
  • Programming & Software Training: Modules such as Introduction to Programming (PHYS1001) and Advanced Computational Physics (PHYS4703) train you in coding, simulation, and data analysis software widely used in industry and research.
  • Data Science Applications: Final-year modules like Data Science Applications in Physics (PHYS4801) and Machine Learning for Scientists (PHYS4802) give you hands-on experience with big data tools, statistical modelling, and machine learning frameworks.
  • Group Projects: Collaborative modules such as Year 3 Project & Professional Skills (PHYS3707) require teamwork to design, run, and present applied physics investigations, building communication and project management skills.
  • Final-Year Research Project (PHYS4707): Each student undertakes an independent project supervised by TU Dublin staff, often linked to research centres, showcasing your ability to conduct research and communicate findings effectively.
  • Digital Tools & Data Analysis: Training in computational modelling, numerical methods, and statistical software ensures you can handle large datasets and apply physics to industrial and scientific contexts.
  • Industry-Relevant Facilities: Modules in Semiconductor & Vacuum Technology (PHYS3706) and Renewable Energy/Technology for Sustainability (PHYS3709) give you hands-on experience with instrumentation used in manufacturing, energy, and environmental monitoring.
  • Library & Learning Resources: The TU Dublin Library at Grangegorman provides access to physics, computing, and data science collections, alongside digital databases to support coursework and projects.
  • Campus Experience: Opportunities to attend seminars, guest lectures, and outreach activities hosted by TU Dublin’s School of Physics, connecting you with Ireland’s wider scientific and data science community.

This blend of labs, projects, and applied modules ensures you graduate not only with knowledge but with the confidence to apply it in industry, healthcare, or further study.

Progression & Future Opportunities

Graduates of TU Dublin’s BSc (Hons) in Physics with Data Science (TU880) are uniquely positioned at the intersection of science and technology. With expertise in physics, programming, and machine learning, alumni typically move into roles such as data scientist, computational physicist, quantitative analyst, or technology consultant. This program equips you with both scientific depth and digital fluency, making you highly employable in Ireland’s expanding tech and research sectors.


Progression & Future Opportunities

Here’s how TU Dublin supports your journey from student to professional:

  • University Career Services: TU Dublin’s Career Development Centre provides tailored support through CV workshops, employer networking events, and structured placement opportunities that connect students with technology companies, finance firms, and research institutes.
  • Employment Stats: TU Dublin consistently ranks among Ireland’s top institutions for graduate employability, with physics graduates reporting strong outcomes in both industry and academia.
  • Industry Partnerships: The program benefits from TU Dublin’s collaborations with Ireland’s renewable energy sector, medical technology companies, and data-driven industries, ensuring students gain exposure to applied projects and career pathways.
  • Accreditation Value: This is a Level 8 NFQ Honours Bachelor of Science degree, recognized nationally and internationally, providing graduates with accredited pathways into professional roles and postgraduate study.
  • Graduate Outcomes: Alumni have progressed into careers in big data analytics, machine learning applications, financial modelling, and scientific computing, reflecting the program’s strong alignment with Ireland’s innovation economy.

Further Academic Progression

After completing the Physics with Data Science program, you can continue into advanced study at TU Dublin or internationally:

  • MSc in Data Analytics – ideal for graduates aiming to deepen expertise in big data, machine learning, and applied analytics.
  • MSc in Computing (Artificial Intelligence or Big Data) – perfect for those who want to expand into computer science and AI applications.
  • PhD opportunities in Computational Physics and Data Science – TU Dublin’s research centres provide supervision in cutting-edge areas such as sensor data, nanoscience, and applied analytics.
  • Professional Education Pathways – graduates can also pursue teaching qualifications to apply their physics expertise in education.

This progression ensures you can tailor your future—whether you want to advance data science research, contribute to technology innovation, or inspire the next generation in education.

Program Key Stats

€12,500 (Annual Cost)
€3,000
€ 55
Sept Intake : 1st Jun


86 %

Eligibility Criteria

3.0
-
70

1090
21
6.0
80

Additional Information & Requirements

Country Requirements

Career Options

  • Consultant
  • Data Analyst
  • Data Scientist
  • Developer
  • Director

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