Students entering this programme are expected to have a 2:1 honours bachelor's degree, or its international equivalent, in Computer Science or Computer/Electronic Engineering or Informatics or Artificial Intelligence or Mathematics or Physics. In addition, the student must meet all of the below requirements:
The applicant must have taken at least one module on Machine learning, artificial intelligence, data science or data mining.
The applicant must have completed a module with a significant programming component in at least one of the following: C, C++, C#, Java, Python or R. Alternatively, a module on algorithms or data structures or software engineering with a programming focus can also be considered.
The applicant is expected to have a strong background in mathematics with one or more modules covering some of the following subjects/topics: calculus (differentiation and integration), linear algebra (vectors and multi-dimensional matrices), discrete mathematics and mathematical reasoning (e.g. induction and reasoning, graph theoretic models, proofs), and probability.
Alternatively, applicants can also enter this programme if they have a 2:2 honours bachelor’s degree and have at least 2 years of industry experience working on AI (machine learning, deep learning, computer vision, natural language processing, optimisation) or data science applications. In this case, the students need not satisfy the requirement of having done modules on AI, programming and basic mathematics.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 with not less than 6.0 in any strand, or equivalent 5.
Build deep knowledge of advanced AI technologies such as deep learning, generative AI, reinforcement learning, evaluation methodologies, optimisation, AI systems and their deployment etc. Evaluate trade-offs involving complexity, interpretability, scalability, robustness, and generalisability of AI models Proficiency in applying AI to real-world problems in various domains. Students will select several option modules from applications of AI in different sectors such as health, audio and speech, time-series from sensor devices, recommender systems, human-computer interaction etc. and learn to apply the advanced AI techniques in the different application areas Learn the potential and limitations of different advanced AI technologies and understand the techniques appropriate for different applications Learn to apply the AI technologies in an ethical and responsible way Learn to communicate the insights from data and the AI techniques to executives and understand how to interpret the AI results correctly Our diverse range of modules and assessments ensures a comprehensive and engaging learning experience, preparing you for a career in the field of AI. Our one-year, full-time MSc in Advanced AI is delivered on-campus at UCD. The programme spans three trimesters, beginning in September and concluding in August. To earn the MSc degree, students must accumulate 90 ECTS credits. You will learn the cutting-edge technologies through the core modules in the first and second trimesters and select from a wide range of application modules to accumulate a total of 60 credits. The third trimester offers three options: Conduct in-depth research under academic guidance. Apply AI techniques to a specific problem. Please note that internship placements and dissertation opportunities are competitive and not guaranteed. Ireland's vibrant tech industry, coupled with the ongoing demand for AI expertise, offers promising career avenues for our MSc in Advanced AI graduates. As AI continues to transform diverse sectors, our alumni find opportunities across both industry and academia: Industry Employers: Recent graduates have joined a range of established companies and emerging tech firms, including Deloitte, JPMorganChase, F5 Inc., Bentley Systems, Moonshot AI, Kefron, Protex AI, and Storyful. Further Academic Research: Many of our graduates successfully progress to prestigious, fully funded PhD positions at leading research institutions. Students are offered the opportunity to undertake an internship during the course. The following internships are examples of past placements: Accenture, Deloitte, Protex AI, Guidewire, AdviceBytes, Proveye. *Placements are secured through a competitive process and are not guaranteed. Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information. Incoming Stage 1 undergraduate
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 149 位 | 纽卡斯尔大学Newcastle University | 1年 | 32800英镑/年 |