Program Overview

Introduction to the Applied Artificial Intelligence MSc Program

The Applied Artificial Intelligence MSc program at Cranfield University is designed to equip students with the advanced skills necessary to apply artificial intelligence (AI) to real-world problems. With a focus on the transformative potential of AI, this program covers a broad range of topics, including logic and reasoning, data analytics, deep learning, and ethical considerations.

Overview of the Program

• Start Date: October
• Duration: One year full-time, two-three years part-time
• Delivery: Taught modules (40%), group project (20%), individual research project (40%)
• Qualification: MSc
• Study Type: Full-time / Part-time
• Campus: Cranfield campus

Course Details

The program includes eight compulsory modules, which cover subjects such as data analytics, deep learning, and ethical, regulatory, and social aspects of AI. Students are also supported through participation in industry seminars, group discussions, and project work, ensuring a comprehensive learning experience.

Compulsory Modules

1. Data Analytics and Visualisation: Introduction to data analytics, challenges, and solutions, including predictive and descriptive data mining and unsupervised learning techniques.
2. Deep Learning for Autonomous Decision Making: Practical deep learning techniques for real-world applications, including recurrent neural networks and reinforcement learning.
3. Deep Learning for Computer Vision: Advanced deep learning algorithms and architectures for computer vision, including convolutional neural networks and generative AI.
4. Ethical, Regulatory, and Social Aspects of AI: Exploration of ethical, regulatory, and social issues related to AI, including data management, personal control, and biases.
5. Multi-Agent Systems: Study of multi-agent behavior, interaction, and planning, with applications in robotics and autonomous systems.
6. Search and Optimisation: Introduction to optimisation and decision theory, including linear and non-linear programming and decision analysis.
7. Smart Cyber-Physical Systems: Analysis of cyber-physical system enabling technologies and best practices for design and evaluation.
8. Statistical Learning Methods: Practical knowledge of statistics for assessment and quantification of uncertainties in real-life scenarios.

Career Opportunities

Graduates from this program are equipped with the skills to pursue careers in various industries, including:

• Autonomous systems engineer
• Machine learning engineer
• Applied machine learning engineer
• Data scientist
• Research scientist
• Big data engineer

Organisations that have employed graduates of this course include Airbus, Apifon, BAE Systems, Frazer-Nash Consultancy, Nissan Technical Center Europe, and Rolls-Royce.

Part-time Route

The part-time study option is designed for students who wish to balance their studies with full-time employment. Part-time students attend teaching on campus in one-week blocks over a 2-3 year period and have the option to complete an individual dissertation instead of a group design project.

Fees and Funding

• Home (Full-time): ｣13,005
• Home (Part-time): ｣13,005
• Overseas (Full-time): ｣29,025
• Overseas (Part-time): ｣29,025
• Deposit: ｣1,000 (Home), ｣3,000 (Overseas)

Various funding opportunities are available, including the ASEAN-UK: Women in STEM Scholarships, Cranfield University GREAT Scholarship, Postgraduate Loan from Student Finance England, Chevening Scholarships, and Commonwealth Scholarships for Developing Countries.

Entry Requirements

• Academic Background: Usually a UK lower second-class undergraduate degree with honours or equivalent international qualification in relevant subjects.
• English Language: IELTS Academic (6.5 overall, 5.5 in all skill components), TOEFL iBT, Cambridge Assessment English, Duolingo English Test, Kaplan Test of English, LanguageCert Academic, Pearson PTE Academic, Skills for English SELT, or Trinity College London Integrated Skills in English.

Conclusion

The Applied Artificial Intelligence MSc program at Cranfield University offers a comprehensive education in AI, preparing students for careers in a rapidly evolving field. With its strong industry connections, diverse funding opportunities, and flexible study options, this program is an attractive choice for those looking to advance their skills in AI and its applications.