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Physics with Data Analytics

Course Details

CAO Code:
Course Type:
Undergraduate
NFQ Level:
8
Placement:
Yes
Delivery Modes
Full-Time
Minimum Points
N/A
Duration
1 + 3 Years
Phone:
+353 (0) 1
700 7797

By doing this groundbreaking degree, you’ll combine the skills and knowledge of a physics degree with the advanced data analytics tools you need to solve real-world problems in new and exciting ways.

Overview

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It’s definitely for you if you’d like to work as a physicist in industry, finance, tech or other demanding corporate sectors, where physicists are among those working to interpret that data and revolutionise how technologies are harnessed. 

This degree combines lectures, tutorials, stimulating laboratory work, and projects combining fundamental physics concepts with exciting, real-life technological skills and applications. You’ll study physics, maths, programming, machine learning, artificial intelligence and quantum computing, among other topics.

Gain work and research experience
In third year, you can do an INTRA work placement or work in one of the research groups in the School of Physical Sciences or DCU-affiliated research centres, where you’ll help with cutting-edge research projects. Either way, you’ll do your final year project in DCU’s world-class laboratories and research centres. 

As a graduate, you’ll be sought after as an analyst or project manager by technology startups, semiconductor or pharmaceutical industry, banks, insurers, gaming companies, software firms, global tech firms and multinational professional services organisations. A future in middle or higher management will be a concrete option if it interests you.

DCU People

Careers & Further Options

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Careers

Physics in itself is a gateway to a wide range of careers. Armed with highly marketable skills, you will be a powerful and versatile addition to any workforce. 

Graduates from the BSc in Physics with Data Analytics will be much sought after as analysts and project managers by technology start-ups, semiconductor industries, banks, insurers, gaming companies, software firms, global tech firms and multinational professional services organisations. 

A future in middle or higher management will be a concrete option for those interested in it.

Further useful materials and resources on the many interesting and diverse career opportunities available to physics graduates are available on the Institute of Physics website.

  • Manufacturing Industries
  • Medical Physics/Pharmaceutical
  • Financial Services
  • Software Engineering
  • Education
  • Technical Consultancy

DCU graduates are highly sought after by employers. Our Graduates work in environments ranging from large multinationals to SMEs, family businesses and start-ups across every sector.

DCU Careers Service has a number of learning and development initiatives in place for our students, giving them the skills they need for a successful career path.

Go to our Careers site to find out more about career planning, our mentorship programme, skills development and online resources for students when working on CVs and making applications.

Entry Requirements

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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.

Course Structure

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You will enter BSc in Physics with Data Analytics via the Physics General Entry route (DC175), confirming your choice at the end of Year 1.

Programme Learning Outcomes

Upon successful completion of this programme of study, graduates will be able to demonstrate: 

  • an understanding of the theory, concepts and methods pertaining selected areas of physics, which includes mechanics, electricity and magnetism, quantum physics, optics, electronics, statistical physics. In addition, a graduate will be able to demonstrate an understanding of mathematics specifically statistical methods, programming and data manipulation and data privacy regulations, machine learning, artificial intelligence and emerging technologies such as quantum computing;
  • capability of identifying the various aspects of physics theory which underlie common physical phenomena and instrumentation and be capable of describing these aspects of theory in both a qualitative and quantitative fashion;
  • an ability to solve numerical and qualitative problems in selected areas of physics, as well as for global societal problems. They will be able to summarise the key elements of the problem, develop an appropriate strategy, choose and apply this strategy to the problem in an iterative way and finally be able to judge the reliability and range of validity of their solution;
  • an ability to use and develop numerical methods to analyse and visualise various physical and societal datasets;
  • research skills which will enable them to pursue research degrees;
  • an ability to competently apply the mathematical and computing/ICT tools acquired during their study to various aspects of their studies and future work including situations different to the context within which they first encountered such tools;
  • competency in the use of computational simulations of natural phenomena, including having a working knowledge in validating models with real laboratory instruments used by physicists, and an understanding of how to use same and apply to other fields such as chemistry, biology, finance and computer science;
  • an ability to communicate the motivation, topics, approaches and solutions in their work efficiently and competently to peers and the broader community via both oral and written media, based on their experience of written and oral presentations of project and/or laboratory work during their studies;
  • an ability to use their experience in group assignments and project work to foster team-working and management/leadership skills both in technical and non-technical situations;
  • an ability to evaluate and apply their knowledge and training to technical problems in the core areas covered in the programme;
  • an ability to select appropriate mathematical and computing/ICT tools acquired during their study to various aspects of their studies and future work including situations different to the context within which they first encountered such tools;
  • competency to exercise judgement and make decisions or recommendations based on their physics, mathematical and statistical knowledge;
  • an ability to critically evaluate problems and alternative solutions in a wide variety of work/professional environments;
  • an ability to draw upon their technical abilities in conjunction with their experience in project work during their degree (in particular their 4th year project work), to conduct research, development, professional or other advanced technical activity upon completion of their studies;
  • an ability to risk assess technical and data processing situations such as research or development projects, based on their experience of risk assessment exercises during their studies and to be accountable for the proposed solutions;
  • an ability to use advanced skills to conduct research in a variety of physics and data-related environments;
  • an ability to take on a leadership/management role in a technical or non-technical context;
  • an ability to work in a team or independently both in technical and non-technical situations;
  • an ability to apply their analytical, programming and mathematical skills to diverse and complex problems/situations in the workplace.
  • an ability to assess their needs for ongoing professional development and training through appraisal of their working environment and other indicators and should be able to identify appropriate routes to meet these demands, whether through professional bodies, further study, mentoring etc.;
  • an ability to productively use online resources and learning platforms to independently further their education;
  • an awareness of the role of a physicist and data scientist in society and the need to communicate effectively in this environment;
  • an awareness of the need for the highest ethical standards in their work environment specifically on evaluating significance of results, uncertainties of computational models and results, but also data privacy and other societal needs;
  • an appreciation of the importance of taking on board the opinions of work colleagues in planning and execution of their work.

 

In Years 1 and 2 the basic foundations of physics, maths, and programming will be laid. This is achieved through a combination of lectures, online material, tutorials, stimulating physical and virtualized laboratory work, and projects that allow you to explore both fundamental physics along with exciting real-life technological applications.

In Year 3, you will explore fundamentals such as quantum and statistical physics, and you will have the opportunity to work in industry as part of our industrial training programme (INTRA) or optionally spend your placement working in one of the research groups in the School of Physical Sciences or DCU affiliated research centers, where you will assist with cutting-edge research projects. 

In Year 4, you will learn about image processing, quantum computing, advanced machine learning, and artificial intelligence along with additional choice physics modules.  You will also conduct your Year 4 research project in DCU’s world-class laboratories and research centres and work in groups within a Data Analytics module together with students from other disciplines.

Fees and Funding

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Fees

All programme fees are per annum and subject to an annual increase.

Student Contribution.
€2,543
EU Status Fee
€6,679
Non EU Fee.
€16,900

How To Apply

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Applications are made via the CAO Advanced Entry route which will open on the 06th November to the 1st July.

Life On Campus

Life on Campus
DCU Campus Glasnevin

DCU Glasnevin Campus

FAQs

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