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MPhys Physics with Data Science

University of Leicester

Institution
University of Leicester
Level
undergraduate
Subject
Physics with Data Science MPhys
Duration
4-5 years
UCAS code
FG36
Typical offer
A-level ABB

Entry requirements

A level: ABB including Physics and Maths

About this course

MPhys in Physics and Physics with Data Science BSc, combining physics with data science. Core topics include Programming, Data Analysis, Statistics, Research Methods, and Artificial Intelligence & Machine Learning. The MPhys is accredited by the Institute of Physics (IOP), fulfilling the educational requirements for Chartered Physicist status. Students undertake a Research Project in the final year.

Modules

  • Mechanics
  • Electricity and Magnetism
  • Mathematical Physics 1.1
  • Light and Matter
  • Waves and Quanta
  • Mathematical Physics 1.2
  • Physics Skills and Professional Development 1
  • Experimental Physics 1
  • Foundations in Modern Scientific Frontiers
  • Mathematical Physics 2
  • Relativity, Quantum Physics and Particles
  • Electromagnetic Fields
  • Thermal and Statistical Physics
  • Condensed Matter Physics
  • Physics Skills and Professional Development 2
  • Experimental Physics 2
  • Intermediate Astrophysics and Data Science
  • Intermediate Data Science and Space Science
  • Intermediate Data Science and Climate Science
  • Physics Skills and Professional Development 3
  • Quantum Mechanics
  • Radiation and Matter
  • Physics Challenge
  • Research Project
  • Python
  • Models and Methods for Scientific Data
  • Medical Physics
  • Quasars and Cosmology
  • The Space Environment
  • Climate Change: Impacts, Vulnerability and Adaptation
  • Industry Project
  • Astrodynamics
  • Physics in Education
  • Numerical Programming in C++
  • Mathematical Physics 3
  • Sustainability Enterprise Partnership Project
  • Physics Special Topics
  • Physics Skills and Professional Development 4
  • Advanced Research Project
  • Scientific Data Analysis
  • Space Plasmas and Planetary Atmospheres
  • Radiative Processes in Astrophysics
  • General Relativity and Quantum Fields
  • Earth Observation of the Atmosphere
  • Quantum Theory of Solids
  • Advanced Space Science
  • Supermassive Black Holes and Exoplanets
  • Computational Fluid and Space-Phase Flows
  • Data Mining and Neural Networks