Master of Science [M.Sc] [Control, Automation and Artificial Intelligence] From Coventry University

• This professionally accredited course covers areas ranging from classical control system design to optimal, adaptive and intelligent control systems, such as proportional + Integral + Derivative (PID) control, Smith Predictor, Model Predictive Control (MPC), state variable feedback pole placement.
• Program aims to develop your skills required to design, analyse and simulate automatic control systems. Teaching is practical in nature with laboratory sessions in specialist software, including MATLAB/Simulink and LabVIEW. Following these simulation studies, you should be able to deploy control systems on specialist hardware.
• Program aims for dissertation project work across this course to be based on real-life situations to gain familiarity of methods and techniques from our industrial collaborators, or to support on-going research projects in automotive control systems, cooperative and autonomous vehicles, and preventive maintenance applied to medical devices.Where appropriate, research seminars, including staff, research students, and external guest speakers from industry are invited to provide a lecture/presentation to supplement and reinforce the practical relevance of the material.
• In addition, students are also encouraged to attend externally organised seminars, workshops, training, or internships to gain wider knowledge and experience, as well as build their professional network.

The MSc Artificial Intelligence covers the theoretical underpinning of a wide variety of AI-related techniques including data and text mining, machine learning, reasoning, natural language generation, knowledge representation, and distributed AI systems as well as the technology, techniques, tools, software and methodologies used to apply these underlying theories to real-world problems.

You will learn how to engineer and evaluate AI systems and also engage in debates around the legal and ethical issues involved in the ethics of AI technology. The programme culminates with a research project, which you will undertake under the supervision of a member of staff and can also be undertaken with an external company or organisation. Typical projects include extending, improving or adapting existing AI theories or techniques to solve different problems or comparing competing techniques or tools to solve a particular problem.

The skills and knowledge you will learn on this programme is shaped by the latest research in AI. The University of Aberdeen has over 30 years’ of experience, and a worldwide reputation in AI-related research, focusing on areas such as machine learning, data science, natural language generation, and multi-agent systems. Data and AI is one of five interdisciplinary research priorities for the University of Aberdeen and the department has strong links with the University's Centre for Data and Artificial Intelligence

Students must achieve 60% in a 3 Year Undergraduate Degree or 55% in a 4 Year.Undergraduate Degree Students from the following Universities will be considered with 55% in a 3 Year Undergraduate Degree (unless applying for Health and Life Science courses): Delhi, Mumbai, Kolkata, Chennai (Madras), Anna, Amity, Andhra Pradesh, Aligarh Muslim, Pune, Bangalore and JNTU.

For State and Central Universities a minimum of 60% for programmes requiring a 2.2 degree. For Private and Deemed Universities a minimum of 65% for programmes requiring a 2.2 degree.