Collaborative Organisation and Form of Collaboration
Qualification and Programme Title
B.Sc. Physics with Data Science Full-time
Programme Code
849G
Delivery Location
Campus
Language of Study
English
Length of Programme
3 Year(s)
Accreditations
Institute of Physics (IOP)
Aims of the Programme
To develop investigative computational and mathematical skills focussed in Data Science
To develop experimental and other transferable skills
To provide students with a broad based Physics education which will make them numerate, articulate and employable.
To learn to plan investigations and to collect and analyse data.
To develop the capacity for independent study and learning.
To develop skills in the writing of reports, and other presentational methods.
To become proficient in both conventional and open ended project work.
To provide a sufficiently large range of physics options in later years to develop a broad knowledge and to see theoretical ideas applied in a variety of contexts.
By these means, students will acquire the knowledge and skill base necessary to be in the forefront of career opportunities for physicists requiring skills, expertise and experience in Data Science, including career paths in academia, industry and finance.
Programme Outcomes
Students are expected to have Knowledge and Understanding of:
Which will be gained through the following Teaching and Learning methods:
and assessed using the following methods:
1. Core physics such as Quantum Mechanics, Electromagnetism, Mechanics, Thermal and Statistical Physics and Atomic Physics (BSc, MSci)
2. Mathematics and its application to a broad range of subject areas including taught modules, laboratory and project work (BSc, MSci)
3. Fluent in advanced statistical and computational methods (including machine learning) for analysing and interpreting data, and use mathematical analysis, data manipulation, and the modelling of physical systems (BSc, MSci)
4. Best practice around code testing and validation, code sharing and version control (BSc, MSci)
5. The analysis and interpretation of experimental data, including setting up and running of experiments, an awareness of the limitations of techniques and the estimation of errors (BSc, MSci)
6. A range of more advanced topics reflecting the wide and deep research base of the school. These will include lecture modules, laboratory and project work (BSc, MSci)
1. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work 2. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work 3. Lectures supported by problem classes, workshops and tutorials; computer classes; and project work 4. Lectures supported by computer and project work 5. Computer classes; laboratory classes and project work 6. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work
1. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 2. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 3. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 4. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 5. Continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 6. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment
Students are expected to have attained the following Skills and other Attributes:
Which will be gained through the following Teaching and Learning methods:
and assessed using the following methods:
1. Acquire analytical and problem solving skills, equipping them to apply their knowledge in a wide range of situations (BSc, MSci)
2. Develop mathematical skills and the ability to apply them to many different areas of physics including both seen and unseen problems (BSc, MSci)
3. Demonstrate mastery of a range of advanced statistical and computational methods for accessing, handling, and analysing data (BSc, MSci)
4. Develop a range of practical skills in physics including experimental work, data manipulation and analysis and numerical modelling (BSc, MSci)
5. Demonstrate a range of transferable skills including verbal and written communication, self-organisation, and general computational skills (BSc, MSci)
6. Show self-motivation and the ability to work independently as well as being effective team members (BSc, MSci)
1. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work 2. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work 3. Problem classes, workshops and tutorials; computer classes; laboratory classes and project work 4. Problem classes, workshops and tutorials; computer classes; laboratory classes and project work 5. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work 6. Lectures supported by problem classes, workshops and tutorials; computer classes; laboratory classes and project work
1. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 2. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 3. Continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 4. Continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 5. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment 6. Examinations and continuously assessed work; assessed reports and talks, observation of practical skills, viva voce interviews, peer and self assessment
