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Computer Science×

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

We have 15 King’s College London, Full Time Masters Degrees in Computer Science

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The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. Read more
The PGCE Information Technology and Computer Science enables ICT & computing professionals and graduates to become effective teachers of computing (curriculum previously called ICT and now including a strong Computer Science element) in secondary schools. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

The programme combines the theory and practice of education which is why students spend 60 days in College and 120 days in schools. The course is research-led and you will develop your knowledge of how pupils learn; how assessment can improve learning and teaching; how to plan lessons, and how to make appropriate use of computers and the Internet to teach effectively. The programme emphasises learning through critical reflection on theory and practice and discussion with colleagues.

Key Benefits

- Our Programme, judged 'Outstanding' by Ofsted, is taught by one of the strongest team of computer science education tutors in the country.

- The programme at King's is challenging and students are encouraged to take a critical view of policies and practice.

- It is a sociable course where you will be expected to work with others, discussing issues and problems about teaching.

- You have the opportunity to work with tutors who are actively engaged in research and development in computer science education.

Visit the website: http://www.kcl.ac.uk/study/postgraduate/taught-courses/pgce-information-technology-and-computer-science.aspx

Course detail

- Description -

The programme combines the theory and practice of education. We work in close partnership with schools in designing, delivering and assessing our course.

University based: You will work with other trainees and tutors in your subject area to consider the principles and practice of teaching your subject including curriculum design, the development of materials, classroom management and lesson planning. You will also work with trainees from other subjects in a programme of lectures and seminar groups to examine broad generic issues. During both secondary school placements there are occasional days in college for tutorials to support and monitor progress towards the standards for Qualified Teacher Status (QTS). There are cross-curricular research tasks and assignments.

School based: For 24 of the 36 weeks the training takes place in schools, mainly in two complementary secondary schools but with two short primary school experiences. This introduces you to recognising key constituents of good teaching, helps develop your own teaching skills and gain an understanding of how schools work and how children learn.

- Computer Science Subject Knowledge Enhancement (SKE) courses -

Our Subject Knowledge Enhancement courses are intensive and flexible programmes for graduates in IT/computing who want to teach computer science but whose degree is not a direct match or whose specialist subject knowledge needs deepening prior to training for qualified teacher status (QTS). King's College London in conjunction with Queen Mary College, University of London, has designed a 12-unit SKE programme for computer science funded by the National College for Teaching and Leadership.

In order to be eligible for SKE (for which you may also obtain a bursary) you need an offer of a place on one of the King's PGCE programmes: either computer science or information technology and computer science. At the PGCE interview we will assess your SKE needs and determine which units you should take. Our SKE courses are also open to candidates who have PGCE offers, conditional on SKE, from other institutions. The programme runs between April and September. Please note that it is not intended for graduates in non-IT disciplines who wish to retrain in computer science: for that we recommend a conversion MSc programme (eg http://www.eecs.qmul.ac.uk/postgraduates/programme/view/21).

- Course purpose -

Our programme is for computing/ICT specialists wishing to train to be teachers of pupils aged 11-18 in computing (previously called ICT) to GCSE level and information technology to A-level. A parallel programme, PGCE Computer Science, enables computer science specialists to train to be teach computer science to A-level. The programme will lead to the Department for Education's (HM Government) Standards for QTS which are assessed through teaching practice observation, portfolios and written assignments.

- Course format and assessment -

The 45-credit honours-level module will be assessed by a combination of a written portfolio (equivalent to 8,000 words) and assessment of your teaching practice against the teaching standards as set out by the government’s Department for Education. Progress in meeting the teaching standards will be monitored through three progress reports that will be completed by staff at the placement school.

The 30-credit master’s-level modules will each be assessed by an 8,000-word written assignment.

The 15-credit honours-level module will be assessed by a 4,000-word written assignment.

Career prospects

The majority of trainees go into teaching or other areas of education: many become heads of departments or members of senior management teams; some take up careers in educational administration in the advisory or inspection services.

How to apply: http://www.kcl.ac.uk/study/postgraduate/apply/taught-courses.aspx

About Postgraduate Study at King’s College London:

To study for a postgraduate degree at King’s College London is to study at the city’s most central university and at one of the top 20 universities worldwide (2015/16 QS World Rankings). Graduates will benefit from close connections with the UK’s professional, political, legal, commercial, scientific and cultural life, while the excellent reputation of our MA and MRes programmes ensures our postgraduate alumni are highly sought after by some of the world’s most prestigious employers. We provide graduates with skills that are highly valued in business, government, academia and the professions.

Scholarships & Funding:

All current PGT offer-holders and new PGT applicants are welcome to apply for the scholarships. For more information and to learn how to apply visit: http://www.kcl.ac.uk/study/pg/funding/sources

Free language tuition with the Modern Language Centre:

If you are studying for any postgraduate taught degree at King’s you can take a module from a choice of over 25 languages without any additional cost. Visit: http://www.kcl.ac.uk/mlc

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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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Our Computing PGCE is designed to allow computing professionals and graduates to become inspiring secondary school teachers. The course emphasises learning through critical reflection on theory, practice and discussion with colleagues. Read more

Our Computing PGCE is designed to allow computing professionals and graduates to become inspiring secondary school teachers. The course emphasises learning through critical reflection on theory, practice and discussion with colleagues. The course covers topics such as how pupils learn, how assessment can improve learning and teaching, how to plan and deliver outstanding lessons.

Key benefits

  • Our course, judged Outstanding by Ofsted, is taught by one of the strongest team of computer science education tutors in the country.
  • You have the opportunity to work with tutors who are actively engaged in research and development in computer science education.
  • King’s is home to Computing at School (CAS) which is at the forefront of developing computing subject knowledge amongst teachers across the Greater London Area. Trainees benefit from collaboration with CAS staff.

Description

The PGCE Computing is a full-time course that consists of four required modules and two blocks of teaching experience based in secondary schools within London and the South East. You will complete the course within ten months, studying September to June. You must take modules totalling 120 credits to meet the requirements of the qualification.

You’ll engage in education, pedagogy and professional studies sessions and curriculum workshops. These will take place in both university and school settings, and will develop your expertise in general educational and

professional issues, and subject pedagogy.

You’ll gain the skills and understanding to take up positions in schools as a teacher of your subject with the potential to contribute fully to the life of the school. The course carries the Accreditation of Qualified Teacher Status (QTS).

Course purpose

Our programme is for computing/ICT specialists wishing to train to be teachers of pupils aged 11-18 in computing to GCSE level and computer science to A-level. It will lead to the Department for Education's (HM Government) Standards for QTS which are assessed through teaching practice observation, portfolios and written assignments.

Course format and assessment

Teaching

You can typically expect:

  • the equivalent of over 50 days of academic sessions at King’s (typically three hours in the morning and/or afternoon spread throughout the academic year)
  • approximately 120 days of teaching placement.* This includes a short period of placement in primary schools (typically four days)
  • a number of one to one tutorials totaling five to seven sessions across the year
  • two visits from a tutor whilst on placement to observe lessons and monitor progress
  • regular** meetings with a mentor, who will be a member of staff at your placement school, whilst on placement
  • written feedback on all credit-bearing assignments within four weeks of the deadline.

*This 120 day figure represents the standard number of placement days. In certain cases, following assessment by course tutors and mentors, students may be required to undertake a greater number of placement days to demonstrate their ability to meet the Teacher Standards.

**Typically each trainee will have a meeting with their mentor during each week they are on placement. In certain circumstances the frequency may vary.

The types of learning commitment encompassed within the course vary depending on modules. For this course one credit represents the equivalent of 10 hours of learning and engagement.

Assessment

  • The 45-credit honours-level module will be assessed by a combination of a written portfolio (equivalent to 8,000 words) and assessment of your teaching practice against the Teaching Standards as set out by the government’s Department for Education. Progress in meeting the teaching standards will be monitored through three progress reports that will be completed by staff at the placement school.
  • The 30-credit master’s-level modules will each be assessed by a written assignment of 6,000 words heavily based on in-school research that trainees undertakes.
  • The 15-credit honours-level module will be assessed by an assignment focusing on data collection methods in the school environment.

The study time and assessment methods detailed above are typical and give you a good indication of what to expect.

Location

Students undertake placements in secondary schools that work in partnership with King’s College London. Partnership schools are located across central London and the Greater London area. Whilst every effort is made to place PGCE trainees in local schools, due to the changing nature of initial teacher education and limited availability of placements in certain subject areas, trainees should be prepared to travel to their placement schools throughout the Greater London area and beyond.

Students also organise their own short placement at a state primary school. Further information on this short placement is provided in the offer holder pack and during the course

School direct Route: Students undertake teaching placements in secondary schools selected by their Lead School. Whilst every effort is made to place PGCE trainees in local schools, due to the changing nature of initial teacher education and limited availability of placements in certain subject areas, trainees should be prepared to travel to their placement schools throughout the Greater London area and beyond.

Career prospects

The majority of trainees go into teaching or other areas of education; many become heads of departments or members of senior management teams; some take up careers in educational administration in the advisory or inspection services.



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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.



Read less
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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This course give you a unique opportunity to explore the many forms of digital culture and their profound effects on society from a number of different angles. Read more

This course give you a unique opportunity to explore the many forms of digital culture and their profound effects on society from a number of different angles. It aims to develop participants' skills in forming their own assessments of digital technologies and their impact on society and culture. 

Graduates of this coursewill have gained the analytical tools required to understand how digitisation and internet technologies have shaped and are shaping modern culture.

 Key Benefits

  • Develop an understanding of the role and impact of digital technologies in contemporary culture, broadly interpreted to include such areas of activity as performing arts, telecommunications, information technology, philosophy, law and education.
  • Study digital technologies within an interdisciplinary and cross-cultural framework, combining modules from participating departments.
  • Obtain on-the-job training in a month long internship within a relevant organisation.
  • Take field trips to major London cultural institutions, such as Tate Modern, National Gallery, Institute of Archaeology and the BBC Archives.

Description

On this Digital Culture & Society MA programme you will focus on how technology and culture are connected in today’s society. We broadly interpret this to include such areas of activity as performing arts, telecommunications, information technology, philosophy, law and education. We aim to develop and enhance your awareness and understanding of a range of subjects relevant to digital culture and technology, including:

  • The key information and communication technologies that shape contemporary society.
  • The key developments in contemporary cultural expression, specifically how these are driven, mediated or influenced by digital technologies.
  • The role of digital technologies in the study of culture and cultural artefacts from the past.
  • How digital technologies are shaping today’s society, including social intercourse, social structures, government, international politics, education and law.
  • The current critical and theoretical debates around digital culture and the role of technology in cultural life.
  • The ethical, moral and philosophical issues that arise from the role and impact of technology in cultural and social life.

Course purpose

The aim of the MA Digital Culture & Society programme is to develop participants’ understanding of the role and consequences of digital technologies in contemporary culture, broadly interpreted to include such areas of activity as performing arts, telecommunications, information technology, philosophy, law and education. The programme is conceived as fundamentally interdisciplinary, drawing for its teaching on four academic Schools: Arts and Humanities; Law; Physical Sciences and Engineering; and Social Science & Public Policy. It is aimed at a diverse range of participants, offering technological insights to those with non-technical backgrounds, and cultural perspectives to those who have not thought about digital culture in a systematic way.

Course format and assessment

Teaching Style

If you are a full-time student, we will provide 120 to 180 hours of teaching through lectures and seminars, and we will expect you to undertake 1674 hours of independent study.

If you are a part-time student, we will provide 90 hours of teaching through lectures and seminars in your first year, and 50 hours in your second. We will expect you to undertake 720 hours of independent study in your first year and 954 hours in your second.

Assessment

We will assess our modules entirely through coursework, which will mostly take the form of essays, with some project work.

Regulating body

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



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This course in Digital Humanities brings digital theory and practice to the study of human culture. from history, English and music to museums, digital publishing and beyond. Read more

This course in Digital Humanities brings digital theory and practice to the study of human culture: from history, English and music to museums, digital publishing and beyond.

Digital technology provides many new opportunities and challenges to those working with textual, visual or multimedia content and this course studies the history and current state of the digital humanities, exploring their role in modelling, curating, analysing and interpreting digital representations of human culture in all its forms.

Key benefits

  • This world-leading course is highly multidisciplinary and draws on a wide range of expertise in web technologies, digital publishing, open software and content creation, digital cultural heritage, coding in humanities/cultural contexts and maps, apps and the Geoweb.
  • The course provides opportunities to scope, build and critique practical experiments in digital research with an arts, humanities and cultural sector focus.
  • Through the optional internship module students can have direct access to some of the world’s most important culture and media institutions.
  • The MA can lead to further research or to careers in cultural heritage institutions (such as museums, libraries, and archives), in multimedia and new media companies, in internet companies, in publishing houses, and in web based businesses in London and overseas.

Description

In an age where so much of what we do is mobile, networked and mediated by digital culture and technology, digital humanities play an important role in exploring how we create and share knowledge. On this course, we will develop and enhance your awareness and understanding of a range of subjects that are relevant to the digitally mediated study of human culture, including:

  • How we model human culture using computers and how we can create memory and knowledge environments which facilitate new insights or new ways of working with the human record.
  • How the ethos of openness that the internet encourages – open access, open data – influences the knowledge economy.
  • The role of digital culture in changing concepts of authorship, editing and publication.
  • The potential application and limitations of big data techniques to further the study of human culture in an era of information overload.
  • The place of coding in our digital interactions with culture and cultural heritage.

We will give you a broad understanding of the most important applications of digital methods and technologies to humanities research questions and what they do and don’t allow us to do. You will be able to scope, build and critique practical experiments in digital research with an arts, humanities and cultural sector focus, and you will learn to provide critical commentary on the relationship between creativity, digital technology and the study of human culture.

Course purpose

The MA in Digital Humanities is designed to develop your understanding of digital theory and practice in studying human culture, from the perspectives of academic scholarship, cultural heritage and the commercial world.

Digital technology provides many new opportunities and challenges to those working with textual, visual or multimedia content and this course studies the history and current state of the digital humanities, exploring their role in modelling, curating, analysing and interpreting digital representations of human culture in all its forms.

The MA course is aimed at a diverse range of participants and aims to equip students with a variety of strategic, technical and analytical skills to provide direction and leadership in these areas.

Course format and assessment

Teaching

If you are a full-time student, we will provide 120 to 180 hours of teaching through lectures and seminars, and we will expect you to undertake 1674 hours of independent study.

If you are a part-time student, we will provide 90 hours of teaching through lectures and seminars in your first year, and 50 hours in your second. We will expect you to undertake 720 hours of independent study in your first year and 954 hours in your second.

Assessment

We will assess our modules entirely through coursework, which will mostly take the form of essays, with some project work.



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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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