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917 Short courses in Natural Sciences & Mathematics

Pet Care - Veterinary Assistant
Do you have a passion for animals? Is it your dream to work in a setting such as a veterinary clinic, zoo or animal shelter? Take the next step in your professional journey with the Pet Care - Veterinary Assistant course from International Career Institute (ICI).

Zoology - UK
Love animals? Want to play your part in protecting precious species? The Zoology - UK course from International Career Institute (ICI) - UK could help to make your dream job a reality.

Floristry - USA
If you have a keen eye for detail and a creative flair, then why not take advantage of your natural skill set with a career in floristry? Join the Floristry - USA programme from International Career Institute (ICI) - USA.

Zoology - USA
Love animals? Want to play your part in protecting precious species? The Zoology - USA course from International Career Institute (ICI) - USA could help to make your dream job a reality.

Zoology
Love animals? Want to play your part in protecting precious species? The Zoology course from International Career Institute (ICI) could help to make your dream job a reality.

Floristry
If you have a keen eye for detail and a creative flair, then why not take advantage of your natural skill set with a career in floristry? You can be a key part in your customers’ celebrations, helping them to make their special occasions truly memorable. The Floristry programme from International Career Institute (ICI).

Floristry - UK
If you have a keen eye for detail and a creative flair, then why not take advantage of your natural skill set with a career in floristry? You can be a key part in your customers’ celebrations, helping them to make their special occasions truly memorable. Join the Floristry - UK programme from International Career Institute (ICI) - UK.

Medicine and Life Sciences Summer School
The Medicine and Life Sciences Summer School course at Imperial will introduce you to new research techniques and subject content.

Chemistry Summer School
Within the Chemistry Summer School course at Imperial you will build your fundamental understanding of the molecular world, and explore exciting interdisciplinary applications, where Chemistry, the central science, can make a major global impact.

Physics Summer School
The Physics Summer School course at Imperial is led by Professor David Colling and Dr Alexander Richards from Imperial’s Department of Physics.

Screening Semiconductors for Photoelectrochemical Transistors (Internship)
This Screening Semiconductors for Photoelectrochemical Transistors (Internship) project from King Abdullah University of Science and Technology (KAUST) aims to explore various semiconducting materials in transistor channels and characterize their nonlinear response to light stimuli.

Statistical Models Based on Stochastic Partial Differential Equations (Internship)
The aim of this Statistical Models Based on Stochastic Partial Differential Equations (Internship) project from King Abdullah University of Science and Technology (KAUST) is to implement and compare these models for applications to longitudinal medical data and spatial environmental data.

Investigating the Carrier Dynamics of Emerging Wide Band Gap Semiconductor for Novel Optoelectronic Applications (Internship)
The Investigating the Carrier Dynamics of Emerging Wide Band Gap Semiconductor for Novel Optoelectronic Applications (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on studying the fundamental physics of the carrier dynamics of wide-bandgap semiconductors such as III-nitrides and oxides.

Robust or Differentially Private Machine Learning (Internship)
This Robust or Differentially Private Machine Learning (Internship) project from King Abdullah University of Science and Technology (KAUST) mainly focuses on how to design robust (especially robust against to outliers or heavy-tailed distributions) or private (or forgettable) algorithms for some fundamental problems in machine learning, deep learning or statistics.

Autonomous Mining - Leveraging Silicon Photonics-Integrated LiDAR for Driverless Systems (Internship)
The Autonomous Mining - Leveraging Silicon Photonics-Integrated LiDAR for Driverless Systems (Internship) project from King Abdullah University of Science and Technology (KAUST) focuses on enhancing the solid-state Frequency Modulated Continuous Wave (FMCW) LiDAR systems.

Next Generation 3d Understanding (Internship)
The Next Generation 3d Understanding (Internship) project at King Abdullah University of Science and Technology (KAUST) covers a broad range of critical applications such as autonomous driving, augmented reality, robotics, medical imaging, and drug discover rely on accurate representation of the three-dimensional data.

Coral Microbiology and probiotics (Internship)
This Coral Microbiology and probiotics (Internship) project from King Abdullah University of Science and Technology (KAUST) has proposed and proven the concept that BMCs can mitigate the impacts caused by thermal stress and pathogens (Rosado et al., 2019).

Machine Learning Techniques for Divergence-free Field Reconstruction (Internship)
The Machine Learning Techniques for Divergence-free Field Reconstruction (Internship) project is offered at King Abdullah University of Science and Technology (KAUST).

Defining the Role of CLN6 in Lysosomal Function and Neurodegeneration (Internship)
The Defining the Role of CLN6 in Lysosomal Function and Neurodegeneration (Internship) project from King Abdullah University of Science and Technology (KAUST) will investigate neuronal ceroid lipofuscinosis type 6 (CLN6 disease) by generating a CLN6 knockout cell model and deriving induced pluripotent stem cells (iPSCs) from patient fibroblasts with homozygous CLN6 mutations.

Zero-carbon Fuels, e-Fuels and Biofuels - Analysis, Experiments and Modelling (Internship)
The student of the Zero-carbon Fuels, e-Fuels and Biofuels - Analysis, Experiments and Modelling (Internship) project from King Abdullah University of Science and Technology (KAUST) will also develop and optimize chemical kinetic models to predict the performance of these fuels in practical devices.