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| ### MSc Artificial Intelligence and Robotics (Sep 25, 2025 – Sep 24, 2026) | |
| University of Hertfordshire | |
| This MSc programme combines the principles of artificial intelligence with the engineering of robotic systems. It prepares students for careers in intelligent system design, autonomous robotics, and machine learning engineering. Delivered by the School of Physics, Engineering and Computer Science, it offers a balance between theory, hands-on lab work, and industry-focused applications. | |
| ### Course Duration and Study Options | |
| You can study this programme in one of the following formats: | |
| - Full-time: 1 year (Sep 25, 2025 – Sep 24, 2026) | |
| - Part-time: 18 months | |
| - With Placement Year: 2 years (Sep 2025 – Sep 2027) | |
| There are three available award routes: | |
| 1. MSc Artificial Intelligence and Robotics | |
| 2. MSc with Placement Year | |
| 3. MSc with Advanced Research | |
| ### Entry Requirements and Prerequisites | |
| To be accepted into the MSc Artificial Intelligence and Robotics, applicants typically need: | |
| - A good honours degree (2:2 or above) in Computer Science, Engineering, or a closely related discipline. | |
| - For international students, an IELTS score of at least 6.0 overall. | |
| - Experience with programming, particularly in Python or C++, and basic knowledge of algorithms or control systems is advantageous. | |
| ### Tuition Fees and Available Funding | |
| For the academic year 2025–2026: | |
| - UK students: approximately £8,925 to £12,360 | |
| - International students: approximately £16,450 to £17,950 | |
| Scholarships such as the Chancellor’s International Scholarship and regional scholarships may be available. The placement year does not incur additional tuition fees. | |
| ### Modules and Course Structure | |
| The course includes the following core modules, designed to build both theoretical knowledge and practical skills: | |
| - Artificial Life with Robotics | |
| - Neural Networks and Machine Learning | |
| - Theory and Practice of Artificial Intelligence | |
| - Responsible Technology | |
| - MSc Project in AI and Robotics | |
| Students on the placement track also complete: | |
| - Placement Preparation | |
| - Professional Work Placement | |
| ### Teaching Style and Assessment Methods | |
| The programme is delivered via lectures, seminars, and practical labs. Students will work with real robotic platforms, simulation environments, and AI frameworks. Assessments include project work, reports, presentations, and a substantial research project. | |
| ### Learning Facilities and Student Support | |
| Teaching takes place in the state-of-the-art Spectra building. Facilities include: | |
| - Robotics labs with humanoid and wheeled robots | |
| - AI development suites | |
| - Vision and sensor systems labs | |
| Support services include the Academic Support Hub, career mentoring, and 24/7 access to Learning Resource Centres. | |
| ### Placement and Career Opportunities | |
| Students can take part in a one-year paid industrial placement after completing the first 60 credits. Graduates from this programme typically pursue careers such as: | |
| - Robotics Software Engineer | |
| - AI/ML Engineer | |
| - Autonomous Systems Designer | |
| - Research Scientist in AI and Robotics | |
| ### Professional Accreditation | |
| This course is accredited by BCS, The Chartered Institute for IT, supporting your path toward becoming a Chartered IT Professional (CITP). | |
| ### Research Opportunities | |
| Students choosing the Advanced Research route can engage in supervised research in topics like reinforcement learning, robotic vision, swarm robotics, or explainable AI. This pathway is ideal for students intending to pursue a PhD or academic career. | |
| ### Tools and Technologies Used | |
| Throughout the course, students will work with: | |
| - Python, C++, ROS (Robot Operating System) | |
| - TensorFlow, PyTorch | |
| - MATLAB, OpenCV | |
| - Real robotic platforms (NAO, Turtlebot, etc.) | |
| ### Learning Outcomes | |
| By the end of the course, students will be able to: | |
| - Design and implement intelligent robotic systems | |
| - Apply machine learning and AI techniques to real-world problems | |
| - Evaluate and communicate the ethical and societal implications of AI | |
| ### Testimonials and Success Stories | |
| “After this MSc, I joined a robotics startup developing warehouse automation using AI.” | |
| “The placement option helped me secure a role as a Machine Vision Engineer.” | |
| ### Why Choose This Course? | |
| This programme offers a unique blend of AI and robotics, delivered by expert faculty and backed by leading-edge research. With flexible award options, industrial placement, and modern labs, students gain practical, job-ready experience. | |
| ### Official Links | |
| To learn more about this programme, visit: | |
| - Official Course Page: https://www.herts.ac.uk/courses/postgraduate-masters/msc-artificial-intelligence-and-robotics | |
| To apply for the MSc Artificial Intelligence and Robotics, use the university’s official application portal: | |
| - Click here to apply: https://www.herts.ac.uk/study/postgraduate/how-to-apply |