MSc Artificial Intelligence Manchester Metropolitan University
It covers the fundamental concepts of databases, and prepares the student for their use in commerce, science and engineering. Artificial intelligence (AI) has become increasingly important in addressing complex problems faced in many different aspects of our society, including economics, business, healthcare, medicine, education and agriculture. With recent developments in AI techniques and large-scale computing infrastructure, the exploitation of big data further pushes forward on all fronts. This rapid advance leads to a growing demand for students who can understand and exploit AI. We have invested £105m in new facilities over the past five years to offer our students an exceptional learning environment.
- Assessment is by a combination of coursework and end-of-year examination and details are shown in the module outlines on the web.
- At the end of the module, we will introduce basic recurrent neural networks as examples of dynamical systems with multiple timescales.
- Your I-Explore module offers you choices from a range of subjects hosted outside of the department.
- The core of this programme has been designed to give you an overview of computing.
- The University reserves the right to increase fees for subsequent years of study in line with increases in inflation (capped at 5%) or to reflect changes in Government funding policies or changes agreed by Parliament.
- Our strong links with industry and academic excellence put us at the forefront of technological development.
The aims of this module are to provide students with the relevant concepts of robotics from the AI perspective and the skills for developing planning and learning systems that apply to robotics. Our Artificial Intelligence master’s is for students who want to build on a first degree in Computer Science or a related discipline with specialised modules in AI technologies and their applications. We’re the first computer science department in the UK to launch its own student-run software company, Genesys.
What’s the difference between Computer Science BSc and Artificial Intelligence BSc?
However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The following modules are based on the current course structure and may change in response to new curriculum developments and innovation. If you are interested in applying and have already received your results, use our Clearing application form to apply for 2023 entry and find out if you are eligible.
- This module provides a comprehensive introduction to computer vision
and practical skills for solving real-world applications.
- Successful applicants typically hold a First-class honours degree (70% average) from a UK university, or the overseas equivalent, in a Computer Science degree with a minimum of 50% Computer Science content.
- Teaching is based on lectures, with practical classes and seminars, but we are also introducing more innovative ways of teaching, such as virtual learning environments and work-based tuition.
- At Essex we pride ourselves on being a welcoming and inclusive student community.
- The module will teach different techniques and tools to thoroughly test software systems, and will teach how to automate testing tasks, including test generation.
Core courses include Biologically Inspired Computation, Data Mining, Machine Learning, and Research Methods. Optional courses range from Advanced Interaction Design to Intelligent Robotics. The MSc project, often in collaboration with external organisations, caps the programme, allowing full-time students to delve deeper into AI application development. This comprehensive course primes graduates for impactful contributions in AI-driven industries or academia. The MSc in Artificial Intelligence at St Andrews is an advanced research-driven programme focusing on logic, constraint programming, language processing, machine learning, and neural networks.
Access student and graduate talent
Our courses are especially designed, at every stage, to equip you with the knowledge, academic skill and transferable skills you need for a successful career in industry or research. Applicants studying A levels or the International Baccalaureate Diploma, will be eligible for direct entry if you meet your chosen programme’s entry requirements. For study on our Foundation and Undergraduate programmes, English language at grade C or above in the ACSE is sufficient to meet the standard English language requirements. We will consider students who have taken A Level examinations and the International Baccalaureate (IB) for entrance to undergraduate programmes.
Receive useful information about our life in our undergraduate community and download our latest Study Guide. You can also apply for a means-tested Maintenance Loan to ai engineering degree help towards your living costs. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status.
The year 1 and 2 modules are similar across all our Electronic Engineering courses and provide a grounding in essential engineering topics. Careful consideration will be given to an individual’s academic achievement, taking in to account the context and circumstances of their pre-university education. AI is revolutionising the world – and that could have a big impact on your career. From self-driving cars to ChatGPT, it is rapidly bringing futuristic ideas into our everyday lives, including our work. While some people are concerned about what that means for their jobs, AI holds great potential for anyone who chooses to study it.
Again, these are based on the current academic session and are subject to change. Our modules are designed to focus on real-life industry scenarios to enhance your employability. You will also be able to enjoy projects and extracurriculars related to your course. This course lets you explore this subject with optional modules in user experience design, autonomous systems and machine learning.
Access to Higher Education
During this year, we will encourage you to consider taking a work placement before your third year. Teaching is based on lectures, with practical classes and seminars, but we are also introducing more innovative ways ai engineering degree of teaching, such as virtual learning environments and work-based tuition. Work includes group projects, case studies and computer simulations, with a large-scale project of your own choice in the final year.
One is to understand natural intelligence through the use of computer models. The other provides techniques and technology for building systems capable of intelligent decisions and actions. As you progress through your degree, you’ll learn to navigate, explore and apply these graduate skills, learning to demonstrate and articulate to employers how future skills give you the edge. This information is published a long time in advance of enrolment and module content and availability is subject to change. Modules that are in use for the current academic year are linked for further information.
Fees & How to Apply
Our beautiful green campus offers a student-friendly setting in which to live and study, within easy reach of the action in the city centre. It’s easy to get around – everything is within walking or pedalling distance, or you can use the fast and frequent bus service. We have a dedicated team to help you prepare for industrial placements, including our year in industry. Our modern, self-contained building houses four software laboratories, two hardware laboratories and a range of social learning spaces. Our modules may change to reflect the latest academic thinking and expertise of our staff. Explore how computational systems can communicate, learn and reason, and understand the implications for society as a whole.
Can I learn AI in 3 months?
If you're starting from scratch and learning the basics of AI, you should be able to do it in about six months. At that point, you can start looking for entry-level positions. If you're learning more complicated AI, such as data science, you may need an advanced degree that will take several years to earn.
We will consider students who have taken GCE A Level examination, or the International Baccalaureate (IB) for entrance to onto our undergraduate programmes. Holders of the Shahadat-al-thanwiia-al-a’ama are not normally eligible for direct entry onto our undergraduate courses without completion of a suitable foundation programme, such as one of our foundation pathways. In addition to academic requirements, we are looking for you to demonstrate a proven interest in computing and a clear understanding of what studying robotics and artificial intelligence entails. We are keen to admit students with an interest in subjects that relate to applications of computer technology.
Dedicated placements team
In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7. We offer a number of postgraduate https://www.metadialog.com/ taught scholarships and awards to outstanding UK and international students each year. Following completion of the academic credits for your MSc award, this course is available with an optional one-year placement in your second year.
Within it, there is a dedicated student working area, with workstations and electronics bench equipment, alongside the main 80m2 robotics arena. There is also a workshop area with CAD, soldering and 3D printing facilities. This can be through working in the labs, which are accessible 24 hours a day, seven days a week, or through reading recommended materials or working through problems. Consequently, you’ll need to be self-motivated, self-disciplined and willing to learn outside regular classes.
The technology is revolutionising industries and sectors, including healthcare, finance (Fintech), energy, transport (autonomous vehicles), manufacturing, central government, neuroscience companies, plus marketing, social media, mobile and gaming. We support your independent learning through a range of excellent facilities, including our 24-hour campus library, online resources, and dedicated learning zones. When not attending lectures, seminars and other timetabled sessions, we encourage you to continue learning independently through self-study. Our computing students have the opportunity to attend training for the PRINCE2 Foundation Level exam. This three-day course gives you the opportunity to achieve an industry-recognised qualification and add another desirable qualification to your CV.
How hard is an AI degree?
Is AI easy to learn? Learning AI is difficult for many students, especially those who do not have a computer science or programming background. However, it may be well worth the effort required to learn it. The demand for AI professionals will likely increase as more companies start designing products that use AI.