Computing (Visual Computing and Robotics) MSc
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
This MSc Computing program focuses on visual computing, robotics, and bio-medical image computing. It equips students with practical skills and research expertise in these areas, preparing them for specialized careers in visual computing and robotics. Through a combination of core and optional modules, students receive training in advanced computer graphics, machine learning for imaging, and robotics, as well as management and research skills through individual projects. The program is delivered by Imperial College London's Department of Computing, offering a comprehensive and industry-relevant education.
Program Outline
Degree Overview:
This MSc Computing (Visual Computing and Robotics) program specializes in the study of vision, graphics, intelligent behavior, and biomedical image computing. It aims to equip students with practical skills and research expertise in these areas. The program examines emerging trends in computing and explores how these techniques can be adapted for industrial applications. Students will receive practical programming training using Prolog and Matlab. They will also enhance their management and research skills through an individual project exploring an area of visual computing or robotics.
Outline:
Core Modules:
- MSc Computing (Specialist) Individual Project: This module allows students to demonstrate independence and originality on an individual project, specializing in an area of visual computing and/or robotics.
Optional Modules:
Students choose nine optional modules in total, divided into three groups:
- Group A (at least two modules):
- Advanced Computer Graphics
- Machine Learning for Imaging
- Robot Learning
- Probabilistic Inference
- Human-Robot Interaction
- Group B (between three and seven modules):
- Advanced Computer Architecture
- Graphics
- Custom Computing
- Deep Learning
- Mathematics for Machine Learning
- Probabilistic Model Checking and Analysis
- Scalable Systems and Data
- Reinforcement Learning
- Introduction to Machine Learning
- Computer Vision
- Robotics
- Deep Graph-Based Learning
- Group C (up to three modules):
- Distributed Algorithms
- Logic-Based Learning
- Network and Web Security
- System Performance Engineering
- Advanced Computer Security
- Complexity
- Computational Finance
- Computational Optimisation
- Natural Language Processing
- Principles of Distributed Ledgers
- Privacy Engineering
- Program Analysis
- Quantum Computing
- Scalable Software Verification
- Software Reliability
- Knowledge Representation
- Modal Logic for Strategic Reasoning in AI
- Independent Study Option
- Prolog
- Scheduling and Resource Allocation
Assessment:
The program utilizes a variety of assessment methods, including:
- Written exams
- Coursework
- Lab work
- Presentations and demonstrations
- Technical reports
- Dissertations
Teaching:
The program employs a range of teaching and learning methods, such as:
- Lectures
- Tutorials
- Practical work
- Laboratory sessions
- Group work
- Research projects
Careers:
Graduates of this program are well-prepared for specialist careers in visual computing or robotics. The degree also opens up a variety of career opportunities in other areas of IT and computing, including:
- Application/web development
- Networking
- AI
- Media
- Finance
- Robotics
- Computer games Other potential career paths include:
- Chip design
- Cyber security
- Data management
- Bio-medical systems
- Transport
Other:
The program is delivered by the Department of Computing at Imperial College London. Students should consult with the relevant department for the most up-to-date information.
Tuition Fees
Home fee: £22,250
Overseas fee: £41,750
Overview:
Imperial College London is committed to achieving excellence in research and education across science, engineering, medicine, and business, aiming to benefit society through its strategic vision. The college leverages its strong disciplinary foundations, collaborative culture, global partnerships, and top-tier ranking to address significant global challenges through its ambitious strategy, "Science for Humanity."
Mission and Values:
Imperial College London's mission is to harness science and innovation for the greater good, focusing on societal impact. The institution emphasizes interdisciplinary collaboration and aims to nurture talent, drive innovation, and tackle global grand challenges. Core values include a dedication to inquiry, precision, and a scientific mindset that drives understanding and transformation.
Unique Approach:
Imperial College London stands out for its commitment to interdisciplinary research and a comprehensive approach to addressing complex global issues. The college's strategy involves creating new cross-institutional Schools of Convergence Science, focusing on climate, AI, health, and space, among other areas. The Imperial Global network will enhance global collaboration to address grand challenges.
Academic Focus:
Imperial College London emphasizes a strong STEMB focus and interdisciplinary research to address complex challenges. The institution fosters connections across various disciplines and sectors to advance scientific knowledge and societal impact.
Student Life:
The college provides an inspiring environment for scientific inquiry and innovation, offering resources and support for students to explore, dream, and ask significant questions. It maintains a culture of discovery and entrepreneurial thinking.
Meaningful Impact:
Imperial College London operates with the agility and forward-thinking of a startup, pursuing breakthrough science with transformative impact. It is recognized as a trusted partner for research and innovation, contributing to the global landscape through its work in London.
Legacy of London:
Situated in a vibrant global city, Imperial College London benefits from London's energy, creativity, and opportunities, reflecting the city's diverse and dynamic character in its global impact.
Entry Requirements:
- Minimum academic requirement: First class Honours in a subject with a substantial computing component.
- English language requirement: All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial. For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification.
- International qualifications: We also accept a wide variety of international qualifications. The academic requirement above is for applicants who hold or who are working towards a UK qualification. If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.
Language Proficiency Requirements:
- All candidates must demonstrate a minimum level of English language proficiency for admission to Imperial.
- For admission to this course, you must achieve the higher university requirement in the appropriate English language qualification.
