Software Engineering and Artificial Intelligence MSc, PGDip, PGCert

We currently have places available in Clearing across a range of our courses, with many of our courses available with a foundation year. We consider each application individually but as clearing entry requirements may change throughout the day as our places fill, we would recommend getting in touch with us as soon as you can to see if we can make you an offer. Our BSc Artificial Intelligence (including foundation year) course aims to prepare you for meeting this demand. You will obtain a comprehensive perspective of the current developments, the needs and the potential of AI by learning about AI models, algorithms, and systems.

This module aims to provide you with necessary skills and tips that should support you to work independently within your discipline and to successfully apply project management tools and techniques to a mini project related to your subject discipline. Year 2 of the course will build upon the solid foundations you will have laid down in Year 1. You’ll take modules from streams 1 to 5 to deepen your learning and start on two further streams studying intelligent systems and undertake a group engineering project. You will start to develop your interests which you will then begin to focus on in Year 3. In the first case, (1), supervision is led by an academic in the Department of Computing, or by a member of staff in another department at Imperial College. There may be significant industrial involvement, and these projects can range from embracing applications of AI and machine learning in industry, to cutting-edge research, whether theoretical or more practically applied.

Current Students

If English is not your first language then an IELTS score of 6.0 overall with a minimum of 5.5 in each component (or equivalent) is essential. Please speak to our admissions team for more details of fees, scholarships, discounts and support. If you don’t have an IELTS or equivalent certificate, you can take our free online English test to assess your proficiency.

We have invested £105m in new facilities over the past five years to offer our students an exceptional learning environment. Recent developments include the £39m Graduate Centre, https://www.metadialog.com/ providing 7,700 square metres of learning and teaching space. Teaching for all modules includes a combination of lectures, seminars and a virtual learning environment.

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The course includes optional support sessions provided by our Careers Service, such as Marketing Yourself delivered in Semester 1. In addition, the course includes workshops for non-technical skills, covering topics including research and study, critical-thinking and problem-solving, and Developing Effective Study Skills. Each module is delivered through a artificial intelligence engineer degree combination of lectures, practical computer laboratory work, and tutorials. Module content is also made available online in our virtual learning environment, including recorded lectures and interactive exercises. The MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background.

You will create code and algorithms, make frameworks for artificial emotions and ideas, prepare data, and write clear technical documentation. You must have an understanding of machine learning toolsets and how to integrate them into bigger projects. Ensuring your machine learning engineering skills are excellent is the best way to stand out and succeed in this career. You’ll look at the development of software applications for mobile devices, with a practical focus on the Android operating system. You’ll consider and use the software development environments for currently available platforms and the typical hardware architecture of mobile devices.

This course consists of six 20-credit modules (composed of 200 hours teaching each). We place an emphasis on Activity-Led Learning, and you will be supported throughout with our comprehensive student support. If you can see your future self working in this area, this course aims to equip you with the knowledge and skills needed to help drive the ongoing digital revolution. Whether you want to develop your expertise in a field you’re passionate about or get the skills you need to put your knowledge to work, discover the benefits of doing a Master’s and how it can boost your career.

In this video he talks about how work placements have helped towards his achievements while a student and his current career as a near field communications expert. Through an extensive blend of networks, mentors, societies and our on-campus startup incubator, we also support aspiring entrepreneurs looking to build their professional enterprise skills. (More Information)This information is based on historical data and may have been aggregated. Artificial intelligence engineers work in research centres, AI development companies, as well as other large companies.

Course content

Applicants currently at school or college will be provided with advice on the process; however, applicants who have left school or who are based outside the United Kingdom may obtain information directly from UCAS. The Scholarships and Funding website lists scholarships and funding schemes available to UCL students. These may be open to all students, or restricted to specific nationalities, regions or academic department. Various funding options are available, including student loans, scholarships and bursaries. UK students whose household income falls below a certain level may also be eligible for a non-repayable bursary or for certain scholarships. Full details of UCL’s tuition fees, tuition fee policy and potential increases to fees can be found on the UCL Students website.

Our inspirational staff are experts in their fields of research and we are ranked 5th out of 89 computer science departments in the UK for research excellence. Our courses are designed to challenge you and prepare you for a career in industry, research, or teaching. Our inspirational staff are experts in their fields of research and we are ranked 5th out of 89 computer science departments in the UK for research excellence (REF 2014).

We know how competitive the graduate job market can be, that’s why you also learn computer programming in Java – a language widely used in business and industry that will ensure you stand out in future applications. During your time with us you will take part in group work which will allow you to develop key skills essential for both a career in industry or research. This will be your opportunity to acquire valuable skills in teamwork, project planning, time management and presentation.

This will involve designing, implementing and evaluating a substantial piece of software and documenting the research through writing a dissertation. There is increasing demand for graduates with relevant computer science and AI knowledge. To help you achieve your potential we emphasise learning as a collaborative process, with a range of student-led and real-world activities.