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Computer Science×

King’s College London, Full Time MSc Degrees in Computer Science

We have 11 King’s College London, Full Time MSc Degrees in Computer Science

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The Computing & Internet Systems MSc programme is an innovative computer science course that will improve your ability to solve challenging computing-related problems arising in the context of the internet. Read more

The Computing & Internet Systems MSc programme is an innovative computer science course that will improve your ability to solve challenging computing-related problems arising in the context of the internet. This course is an ideal study pathway for graduates who already possess a good foundation in computer science. 

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will learn advanced software engineering skills preparing you for leading creative roles in the professional and research communities.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

Rooted in the renowned research strengths of the Department of Informatics, this programme will introduce core topics like data structures and their implementation in C++, web infrastructure and software engineering of internet applications and then allow you to specialise through your choice of modules.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of around 15,000 words. You will also participate in a group project that will provide you with invaluable experience of working in a team to design, implement and document a substantial internet application.

Course purpose

For graduates with a substantial background in Computer Science, this programme will enhance your ability to solve a broad range of challenging computing-related problems and gain a broad introduction to aspects of the Internet. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The individual project will be assessed through a 15,000-word dissertation. 

Regulating body

King’s College London is regulated by the Higher Education Funding Council for England.

Location

The majority of learning for this degree takes place at the Strand Campus, with occasional lectures and practical sessions taking place at the Waterloo Campus. 

Career prospects

Our graduates have continued on to find employment in general software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Recent employers include Logica and Inteliscape.

Other graduates have entered into the field of academic and industrial research in areas such as software engineering and computer networks.



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The Computing & Security MSc course aims to provide graduates with the knowledge and practical expertise to evaluate, design and build computer security systems that protect networks and data from cyber-crime or terrorist attack. Read more

The Computing & Security MSc course aims to provide graduates with the knowledge and practical expertise to evaluate, design and build computer security systems that protect networks and data from cyber-crime or terrorist attack. This course is an ideal study pathway for graduates who already possess a good foundation in computer science.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) , and the Institution of Engineering and Technology (IET).
  • You will learn advanced practical techniques and implementation skills for solving complex computational problems.
  • Opportunities to address a growing interest in advanced security methods by providing theoretical and practical knowledge of a broad range of techniques for developing security solutions.
  • Flexible study pathway that covers a broad range of security and related computing topics
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Computing & Security MSc programme responds to the growth in interest in advanced security methods for solving a huge range of problems, including combating crime and terrorism. You will study Cryptography and Information Security, Security Engineering, Network Security, and Computer Forensics and Cybercrime. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of around 15,000 words. 

Course purpose

For graduates in computer science, science, or engineering, this MSc will provide specialised training in computing and security. Completing research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The individual project will be assessed through a 15,000 word report. 

Career prospects

Some graduates work in general software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Recent employers include Hang Seng Bank, Lloyds Banking Group and Merrill Corporation. Other graduates have entered into the field of academic and industrial research in areas such as software engineering, algorithms and computer networks.



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The Advanced Computing with Management MSc programme is an innovative computer science course, combining high-level programming with an introduction to core management theories and skills in an IT context, making this an ideal study pathway for engineers who already possess a good foundation in programming. Read more

The Advanced Computing with Management MSc programme is an innovative computer science course, combining high-level programming with an introduction to core management theories and skills in an IT context, making this an ideal study pathway for engineers who already possess a good foundation in programming. This course aims to improve your abilities to solve advanced computational problems by gaining knowledge of data structures, design quantitative analysis of algorithms, their applications and implementation.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) , and the Institution of Engineering and Technology (IET).
  • You will learn advanced practical techniques and implementation skills for solving complex computational problems.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Advanced Computing with Management MSc is an innovative course designed to provide you with an in-depth understanding of management roles within the IT industry. The programme will also equip you with essential research, analytical and critical thinking skills.

The course is made up of optional and required modules, completed in one year studying from September to September. You will take modules totalling 180 credits to meet the requirements of the qualification, of which 60 will come from an individual project of around 15000 words.

You will study a range of required modules such as Principles of Management, Algorithm Design and Analysis, and Data Structures and their Implementation in C++ and you will choose further related modules to support your study interests.

Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation within the context of software development and with core management theories. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed on one 15,000-word dissertation.  

Career prospects

Our graduates have continued on to have very successful careers in general software consultancy companies, in specialised software development companies and IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem-solving as well more conventional software development, maintenance and project management roles.

While some of our graduates have chosen to go on into academic and industrial research in software engineering, bio-informatics, algorithms and computer networks.



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Our Advanced Computing MSc programme will provide you with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. Read more

Our Advanced Computing MSc programme will provide you with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. Built around modules such as Algorithm Design and Analysis, Data Structures and their Implementation in C++, and Parallel and Distributed Algorithms, and offering a broad range of optional modules, the course will enhance your abilities to solve advanced computational problems and implement algorithms.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will learn advanced practical techniques and implementation skills for solving complex computational problems.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

Rooted in the renowned research strengths of the Department of Informatics, this programme introduces core topics such as systems programming and algorithms before allowing you to specialise through your choice of modules. The course comprises of optional and required modules, and you will complete the course in one year, studying September to September. You must take modules totalling 180 credits to meet the requirements of the qualification, 60 of which will come from an individual project of around 15,000 words.

Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project and dissertation will be assessed on one 15,000-word extended piece of writing. 

Career prospects

Our graduates have continued into very successful careers in general software consultancy companies, in specialised software development companies and IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem-solving as well more conventional software development, maintenance and project management roles. Some of our graduates have chosen to persue academic and industrial research in software engineering, bio-informatics, algorithms and computer networks.



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The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. Read more

The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. It will give you a broad understanding of web intelligence and a thorough knowledge of techniques for developing intelligent software. 

Key benefits

  • Located in central London giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • Opportunities to explore the fundamental roles and practical impacts of the use of artificial intelligence techniques in advanced computing.
  • Key study areas include fundamental internet technologies with complementary aspects of artificial intelligence, algorithmic issues on the web, and agents and multi-agent systems.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in web intelligence and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Web Intelligence MSc will provide you with the practical knowledge and expertise to evaluate, design and build intelligent software for the internet. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from a research project and dissertation of 10,000 words. You will study Artificial Intelligence, Agents and Multi-agent Systems as well as Software Engineering of Internet Systems. There are also opportunities to explore a broad range of optional modules allowing you to develop a study pathway that reflects your interests.

Course purpose

A graduate in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will provide you with the practical knowledge and expertise to enable you to evaluate, design and build intelligent software for the web. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation. 

Career prospects

Our graduates have continued on to have very successful careers in industry and research. Recent employers have included general software consultancy companies, specific software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Some graduates have entered into the field of academic and industrial research in software engineering, bio-informatics, algorithms, artificial intelligence and computer networks.



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The Computer Systems Engineering with Management MSc course is an advanced computer science programme that will develop your technical skills and knowledge of computer systems engineering in areas such as embedded systems and robotics. Read more

The Computer Systems Engineering with Management MSc course is an advanced computer science programme that will develop your technical skills and knowledge of computer systems engineering in areas such as embedded systems and robotics. The course also introduces core management theories and techniques to support careers within the IT industry.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will learn advanced software engineering skills preparing you for leading creative roles in the professional and research communities.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

Our Computer Systems Engineering with Management MSc is a flexible study pathway that prepares science and engineering graduates who have excellent computer programming skills for managerial careers in computer systems engineering, robotics or and the IT sector. The programme will also equip you with essential research, analytical and critical thinking skills.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of around 15,000 words. Alongside the technical elements of the course you will study principles of managementoperations and project management, which will give you an understanding of how computer systems engineering works in practical and commercial environments. There are opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.

Course purpose

This programme aims to prepare graduates with a science or engineering background and good computer programming skills to pursue a career in Computer Systems Engineering project management, Robotics project management or a career in the IT sector at management level.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through an individual projectof 15,000 words. 

Career prospects

Our graduates have continued on to pursue successful careers at a managerial level, working in the major positions of engineering and manufacturing.



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The Advanced Software Engineering MSc is an advanced study pathway that provides computer graduates with a thorough understanding of the role of IT in business, and how information systems impact on trade and organisational processes. Read more

The Advanced Software Engineering MSc is an advanced study pathway that provides computer graduates with a thorough understanding of the role of IT in business, and how information systems impact on trade and organisational processes.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) , and the Institution of Engineering and Technology (IET).
  • You will learn advanced software engineering skills preparing you for leading creative roles in the professional and research communities.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Advanced Software Engineering MSc course focuses on complex techniques for the development of software systems, with an emphasis on the construction and management of internet-oriented, agent-oriented and large software systems. The programme will also equip you with essential research, analytical and critical thinking skills.

The course is made up of optional and required modules, and you will complete the course in one year, studying September to September. You must take modules totalling 180 credits to meet the requirements of the qualification, and 60 credits will come from an individual project of around 15,000 words. You will also participate in a group project that will provide you with invaluable experience of working in a team to design, implement and document a substantial software product.

Course purpose

For graduates with substantial experience of computer science, this programme will develop your expertise and skills in software engineering, preparing you for a career in software engineering, software maintenance and software testing. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed on a 15,000-word dissertation.  

Extra information

Location

The majority of learning for this degree takes place at the Strand Campus, with occasional lectures and practical sessions taking place at the Waterloo Campus. 

Career prospects

Our graduates have continued on to have very successful careers working for software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Recent employers include Ernst & Young, Accenture and M-Netics. Some of our graduates have entered into the field of academic and industrial research in areas such as software engineering, algorithms and computer networks.



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The Advanced Software Engineering with Management MSc is an advanced study pathway that aims to provide computer graduates with a thorough understanding of the role of IT in business, and how information systems impact on trade and organisational processes. Read more

The Advanced Software Engineering with Management MSc is an advanced study pathway that aims to provide computer graduates with a thorough understanding of the role of IT in business, and how information systems impact on trade and organisational processes. The course also introduces core management theories and essential problem-solving skills in preparation for senior roles in the IT industry.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will learn advanced software engineering skills preparing you for leading creative roles in the professional and research communities.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields. 
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Advanced Software Engineering with Management MSc course focuses on innovative techniques for the development of software systems, with an emphasis on the construction and management of internet-oriented, agent-oriented and large software systems. You will develop your expertise and skills in software engineering, preparing you for a career in software engineering, software maintenance and software testing. The programme will also equip you with essential research, analytical and critical thinking skills.

The course is made up of optional and required modules, and you will complete the course in one year, studying September to September. You must take modules totalling 180 credits to meet the requirements of the qualification, and 60 credits will come from an individual project of 15000 words. You will also participate in a group project that will provide you with invaluable experience of working in a team to design, implement and document a substantial software product.

Course purpose

For graduates with substantial experience of computer science, this programme will develop your expertise and skills in software engineering, preparing you for a career in software engineering, software maintenance and software testing. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. 

Extra information

Location

The majority of learning for this degree takes place at the Strand Campus, with occasional lectures and practical sessions taking place at the Waterloo Campus. Please note that locations are determined by where each module is taught and may vary depending on the optional modules you select.

Career prospects

Our graduates have continued on to have very successful careers working for software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Recent employers include Ernst & Young, Accenture and M-Netics. While some of our graduates have entered into the field of academic and industrial research in areas such as software engineering, algorithms and computer networks.



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The Intelligent Systems MSc degree course is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques. Read more

The Intelligent Systems MSc degree course is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies including the Chartered Institute for IT (BCS), the Institution of Engineering and Technology and the Institution of Mechanical Engineers (IMechE).
  • Opportunities to focus on topics such as intelligent systems, robotics and management skills while studying theoretical and practical electronic engineering and management topics.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in electronic engineering and related fields.

Description

The Intelligent Systems MSc will prepare you for work developing intelligent control and engineering systems. You will study Artificial Intelligence, Agents and Multi-agent Systems, Pattern Recognition, Computer Vision and Biologically Inspired Methods. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of 15,000 words. 

Course purpose

For graduates in engineering, computing or a related scientific discipline, with a good knowledge of computer programming and mathematics, from this programme you will gain specialist training in designing, building and evaluating intelligent systems using a range of tools and techniques in preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation.

Career prospects

Our graduates have gone on to pursue successful careers in industry, commerce and academia.



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This programme is now closed but you may want to consider other courses such as the . Advanced Computing MSc. The Data Science MSc is an interdisciplinary study programme that will provide you with advanced technical and practical skills in the collection, collation, curation and analysis of data. Read more

This programme is now closed but you may want to consider other courses such as the Advanced Computing MSc.

The Data Science MSc is an interdisciplinary study programme that will provide you with advanced technical and practical skills in the collection, collation, curation and analysis of data. It also examines the professional, legal and ethical responsibilities of data scientists. This is an ideal study pathway for graduates with a background in quantitative subjects, or who possess relevant work experience in the current methods and techniques of data science.

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will gain an in-depth understanding of the general principles of the computational and statistical approaches and methods used in data science, as well as their underlying assumptions and limitations.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • Exposure to interdisciplinary aspects of Data Science through opportunities to interact with multiple departments and faculties across King's diverse campuses
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Data Science MSc degree will provide you with the practical skills needed to effectively assemble, collate, store, manage and analyse data required for data science projects and the critical judgement to decide the appropriate statistical and computational data modelling and analysis techniques to evaluate data science activities and projects. You will study the computational approaches and techniques used to examine mathematical statistics, as well as developing an appreciation for the professional, ethical and legal responsibilities of the data scientist, along with standard conceptual or scientific models in at least one domain of application of data science. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from a research project and dissertation.

Course purpose

The purpose of this degree programme is to train graduates from quantitative disciplines or with relevant quantitative work experience in current methods and techniques of data science, particularly the science of large-scale data collections. These methods and techniques include both computational techniques and methods from mathematical statistics. The MSc will also provide you with an appreciation for the professional, ethical and legal responsibilities of the data scientist, along with standard conceptual or scientific models in at least one domain of application of data science. Your individual project will typically aim to apply these methods to a problem in a specific application domain, and provide valuable preparation for a career in research or industry.

Course format and assessment

Lectures; tutorials; seminars; laboratory sessions; optional career planning workshops. Assessed through: coursework; written examinations; final project report.

Career destinations

Via the Department’s Careers Programme, students are able to network with top employers and obtain advice on how to enhance career prospects.



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The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. Read more

The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today's markets. This will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto-currencies. The programme is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions.

Key benefits

  • An understanding of modern financial technology (FinTech) including electronic trading and distributed-ledger technology.
  • Practical hands-on techniques for working with and analysing financial data, which draw on modern developments in Artificial Intelligence and Big Data technology.
  • The opportunity to understand the practical aspects of quantitative finance and FinTech from Industry experts located in the heart of one of the World’s financial centres.

Description

Computational Finance studies problems of optimal investment, risk management and trade execution from a computational perspective. As with any engineering discipline, computational finance analyses a given problem by first building a model for it and then examining the model. In computational finance, however, our model is typically analysed by running computer programs, rather than solving mathematical equations. In addition to standard computational methods such as Monte-Carlo option pricing, you will also learn more advanced modelling techniques such as agent-based modelling, in which the model itself takes the form of a computer program.

The programme will provide a foundation in the core skills required for successful risk management and optimal investment by giving a grounding in the key quantitative methods used in finance, including computer programming, numerical methods, scientific computing, numerical optimisation, and an overview of the financial markets. You can then go on to study more advanced topics, including the market micro-structure of modern electronic exchanges, high-frequency finance, distributed-ledger technology and agent-based modelling.

Career prospects

Students are expected to go in to careers such as Investment Banking, Hedge Funds and Regulatory Bodies.  



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