MSc Artificial Intelligence with a Professional Placement Year
Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets.
Learn the ethical and social impacts of AI technologies while developing your critical judgement, intellectual integrity and practical skills on client-facing projects.
This unique course provides specialist knowledge in areas such as automated reasoning, knowledge representation and machine learning. You also have the opportunity to customise your learning experience to suit your interests and career aspirations by choosing from a range of optional modules, professional work placements and projects.
You will apply for a paid 7-12 month professional work placement to be undertaken on completion of the taught phase of the program. This provides valuable work experience to develop your IT Professional skills. You will be supported in finding and applying for this placement, but it should be noted that this may not be in an AI specific area, and the main focus for the placement is around employability skills related to your degree.
Graduates from the programme will be ideally placed to develop careers such as data scientists, artificial intelligence engineers, and data engineers.
This two-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics.
Explore the techniques and applications of artificial intelligence (AI) and develop your practical skills through exposure to real-world problems and datasets.
Learn the ethical and social impacts of AI technologies while developing your critical judgement, intellectual integrity and practical skills on client-facing projects.
This unique course provides specialist knowledge in areas such as automated reasoning, knowledge representation and machine learning. You also have the opportunity to customise your learning experience to suit your interests and career aspirations by choosing from a range of optional modules, professional work placements and projects.
You will apply for a paid 7-12 month professional work placement to be undertaken on completion of the taught phase of the program. This provides valuable work experience to develop your IT Professional skills. You will be supported in finding and applying for this placement, but it should be noted that this may not be in an AI specific area, and the main focus for the placement is around employability skills related to your degree.
Graduates from the programme will be ideally placed to develop careers such as data scientists, artificial intelligence engineers, and data engineers.
This two-year degree falls under the umbrella of the Data Science Academy (DSA), run by the School of Computer Science and Informatics.
Requirements
Modules
- Knowledge Representation
- Automated Reasoning
- Principles of Machine Learning
- Applications of Machine Learning: Natural Language Processing/Computer Vision
- Penetration Testing and Malware Analysis
- Machine Learning for NLP
- Introduction to Computational Robotics
- Distributed and Cloud Computing
- Human Centric Computing
- Computer and Network Forensics
- Cybersecurity Operations
- Cloud and Database Systems Security
- Advanced Topics in NLP
- Programming Paradigms
- Business Continuity and Transformation
- Developing Secure Systems and Applications
- Operating Systems Security
- Computational Linguistics
- Foundations of Operational Research and Analytics
- Foundations of Statistics and Data Science
- Placement
- Dissertation
