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Buckinghamshire New University: Artificial Intelligence
| Institution | Buckinghamshire New University |
|---|---|
| Department | School of Creative And Digital Industries |
| Web | http://www.bucks.ac.uk |
| advice@bucks.ac.uk | |
| Telephone | 0330 123 2023 |
| Study type | Taught |
Summary
Studying Artificial Intelligence at postgraduate level is an exciting and hands-on opportunity to explore how computing and machinery are completely changing the landscape of business as we know it.
Designed by our academic experts and industry specialists this degree will help you develop a deep understanding of how to work collaboratively in this dynamic and fast evolving branch of computer science. From business intelligence to robotics and machine learning to AI there are plenty of avenues that will be open to you with our postgraduate qualification.
Why study at Buckinghamshire New University? We are a student focused and employer-led university which means that you are at the forefront of all that we do. Buckinghamshire New University is invested in you and your future. We work hard to ensure that our courses are designed with you and industry in mind, so that you can graduate confident that you can make the next steps in your career.
We are committed to helping equip you with the knowledge that will allow you to progress your career and specialise in various areas, such as machine learning, artificial neural networks, data analysis, expert and fuzzy systems. We believe it is important for you to stay in the loop with the latest industry guidance and our industry experienced academics are perfectly placed to share their wealth of knowledge and utilise their connections to ensure you are learning and developing the most in-demand skills and knowledge.
What facilities can I use? BNU has invested in our facilities to ensure that you can learn on industry standard systems and software, meaning that you can make an easy transition from education into employment. We have a range of large labs, most filled with dual-screen, dual boot (Windows and Linux) systems. Latest industry standard software is also included on devices to allow you to develop your skills to what is needed in the workplace. Labs have been custom built to provide the best spaces to nurture the specific skills needed for game and internet development.
What will I study? You’ll study areas such as machine learning and artificial neural networks, data analysis, expert and fuzzy systems, which underpin AI systems development. However, this course also has its roots firmly in the field of computer science so you will also implement artificially intelligent machines, whether these are in the form of knowledge-based systems, intelligent agents or robots. In addition, throughout the course you will be encouraged to adopt recognised software engineering principles, which form the foundations of system development. We will also make sure that you have plenty of opportunity to put professional and ethical practices into action, including the appropriate adoption of software engineering principles.
The programme is distinctive in that as well as providing students with a strong theoretical background in AI, it also includes a significant practical element so students will learn to use a range of AI-related tools and professional development platforms. Furthermore, you are given the opportunity to understand and consider the role of AI in the wider, social context as well from the point of view of potential employers.
Across the course you will study a wide range of important components from theoretical concepts, critical and computational thinking, and the practical use of a range of AI-related software tools to examine real-world problems and challenges. You will also have the chance to explore the role of an AI expert in social and professional contexts.
You will be learning from innovative, forward-thinking and highly motivated expert lecturers. Our lecturers have close industrial links and all work together to ensure that you have the best possible enriched and stimulating learning environment.
Master of Science - MSc (PG)
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants will be assessed on their academic qualifications although previous experience and interest in computing, IT, business or management is desirable. A typical offer will include 2:2 honours degree or equivalent qualification in computing, web development, computer sciences, software engineering, system engineering, mathematics with computer science, physics with computer science or a related discipline. Applicants who don’t meet the above requirements but have technical/management experience in industry could be considered (subject to interview). General Postgraduate Requirement for IELTS - 6.5 (6.0). |
| Location | Buckinghamshire New University Queen Alexandra Road High Wycombe HP11 2JZ |
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