Imperial College of Science, Technology and Medicine
Main building. Wikipedia
Founded 1907 as a merger of the Royal College of Science, the Royal School of Mines and the City and Guilds College, and the Imperial College School of Medicine. Merged with St Mary's Hospital Medical School, 1988, and the National Heart and Lung Institute, 1995, Charing Cross and Westminster Medical School and Royal Postgraduate Medical School, 1997 to form with the existing departments on the St Mary's and Royal Brompton campuses the Imperial College Faculty of Medicine. Wye College and the Kennedy Institute of Rheumatology merged with the College in 2000.
Funding:
Public
Grades 3
Languages 1
Divisions 7
- Co-Curricular Studies Centre
- Environmental Policy CentreFields of study: Environmental Studies
- Population Biology Centre
- Medicine Faculty
- Natural Sciences FacultyFields of study: Cell Biology, Molecular Biology, Biological and Life Sciences, Environmental Studies, Biology, Physics, Chemistry, Mathematics
- Business SchoolFields of study: Health Administration, Marketing, Finance, Economics, Management, Business Administration
Requirements
- Admission details: General Certificate of Education (GCE) with 3 subjects at Advanced ('A') level, or recognized equivalent
Short online courses 63
- 3D Graphics in Android: Sensors and VR
- A Guide to Healthcare Innovation: Principles and Practice
- A-Level Further Mathematics for Year 12 - Course 2: 3 x 3 Matrices, Mathematical Induction, Calculus Methods and Applications, Maclaurin Series, Complex Numbers and Polar Coordinates
- A-level Further Mathematics for Year 12 - Course 1: Complex Numbers, Matrices, Roots of Polynomial Equations and Vectors
- A-level Mathematics for Year 12 - Course 1: Algebraic Methods, Graphs and Applied Mathematics Methods
- A-level Mathematics for Year 12 - Course 2: Calculus, Newton’s Laws and Hypothesis Testing
- A-level Mathematics for Year 13 - Course 1: Functions, Sequences and Series, and Numerical Methods
- A-level Mathematics for Year 13 - Course 2: General Motion, Moments and Equilibrium, The Normal Distribution, Vectors, Differentiation Methods, Integration Methods and Differential Equations
- Accounting Essentials
- Advanced App Development in Android Capstone
- Android Graphics with OpenGL ES
- Applying Participatory Approaches in Public Health Settings
- Building on the SIR Model
- CARE: Nutrition in Ageing
- Climate Change: Financial Risks and Opportunities
- Coaching Skills for Learner-Centred Conversations
- Corporate Renewable Procurement: Opportunities in India
- Creating a Pro-Renewables Environment
- Creative Thinking: Techniques and Tools for Success
- Creative Thinking: Techniques and Tools for Success
- Customising your models with TensorFlow 2
- Data Analysis Essentials
- Design and Implementation of Digital Health Interventions
- Developing the SIR Model
- Evaluation of Digital Health Interventions
- Finance Essentials
- Foundations of Public Health Practice: Behaviour & Behaviour Change
- Foundations of Public Health Practice: Health Protection
- Foundations of Public Health Practice: The Public Health Approach
- Foundations of Public Health Practice: The Public Health Toolkit
- Getting started with TensorFlow 2
- Global Disease Masterclass: Communicable Diseases Epidemiology, Intervention and Prevention
- Global Disease Masterclass: Global Disease Distribution
- Global Disease Masterclass: Non-communicable Diseases
- Health Coaching Conversations
- Health Systems Development: A Focus on Health Service Delivery and Human Resources for Health
- Health Systems Development: Health systems, Policy and Research
- Health Systems Development: Introduction to Health Systems
- Healthcare Entrepreneurship: Taking Ideas to Market
- Healthcare Innovation: What Does Success Look Like and How to Achieve It?
- Incorporating Renewable Energy in Electricity Grids
- Interventions and Calibration
- Introduction to Android graphics
- Introduction to Corporate Sustainability, Social Innovation and Ethics
- Introduction to Digital health
- Introduction to Participatory Approaches in Public Health
- Introduction to Statistics & Data Analysis in Public Health
- Linear Regression in R for Public Health
- Logistic Regression in R for Public Health
- Mathematics for Machine Learning: Linear Algebra
- Mathematics for Machine Learning: Multivariate Calculus
- Mathematics for Machine Learning: PCA
- Maths Essentials
- Measuring Disease in Epidemiology
- Probabilistic Deep Learning with TensorFlow 2
- Public Involvement in Research
- Science Matters: Let's Talk About COVID-19
- Study Designs in Epidemiology
- Survival Analysis in R for Public Health
- Tackling Antimicrobial Resistance: A Social Science Approach
- Tobacco Control: Agile Policy, Research and Practice
- Validity and Bias in Epidemiology
- Why Move Towards Cleaner Power
