Computer Systems Engineering (Artificial Intelligence)

About this course

Computer systems engineering with artificial intelligence addresses the challenge of building the physical and logical infrastructure through which AI systems operate. Computer systems engineering is concerned with the design and implementation of both hardware and software: the architecture of processors, memory, and communication systems, the embedded software that controls them, and the integration of components into functional computing systems. Adding artificial intelligence to this engineering foundation means you also develop expertise in the algorithms, data-driven techniques, and learning systems that allow machines to perform intelligent tasks. This is a combination of growing importance as AI moves from software running on conventional servers into embedded systems, robotics, autonomous vehicles, and edge computing. At Brunel University London, this three-year full-time BEng

Where its graduates go

The 5 largest scored destinations, covering 85% of graduates; the headline also reflects the subject baseline.

• 72 / 100Information Technology Professionals · 40% of graduatescards →
• 48 / 100Business and public service associate professionals · 5% of graduatescards →
• 40 / 100Sales occupations · 5% of graduatescards →
• 40 / 100Science, engineering and technology associate professionals · 5% of graduatescards →
• 28 / 100Engineering professionals · 30% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).