MA European Studies (Double Degree)
The MA European Studies program at the University of Limerick offers a comprehensive ex...
Bachelor of Science in Artificial Intelligence and Machine Learning
Limerick
INTAKE: September
Program Overview
The Bachelor of Science in Artificial Intelligence and Machine Learning at the University of Limerick is a cutting-edge undergraduate program designed to equip students with the knowledge and skills to harness the power of artificial intelligence (AI) and machine learning (ML) technologies. This interdisciplinary program integrates principles from computer science, mathematics, statistics, and engineering to train students in developing AI-driven solutions for real-world problems. Students learn about the theoretical foundations of AI and ML, as well as practical techniques for data analysis, pattern recognition, natural language processing, robotics, and intelligent systems development.
Curriculum: The curriculum of the Bachelor of Science in Artificial Intelligence and Machine Learning program is comprehensive and hands-on, covering a wide range of topics relevant to AI and ML. Core modules include Introduction to Artificial Intelligence, Machine Learning Fundamentals, Data Science and Analytics, Deep Learning, Reinforcement Learning, Natural Language Processing, Computer Vision, and AI Ethics and Governance. Students also have the opportunity to undertake practical projects and internships, applying AI and ML techniques to real-world problems in domains such as healthcare, finance, cybersecurity, robotics, and autonomous systems.
Research Focus: The University of Limerick has a strong research focus in artificial intelligence, machine learning, and related fields, with faculty members conducting cutting-edge research in areas such as deep learning, neural networks, cognitive computing, and AI applications. Students in the Bachelor of Science in Artificial Intelligence and Machine Learning program have the opportunity to engage in research projects, seminars, and conferences, working alongside faculty members and industry partners to address challenging research questions and develop innovative AI solutions. Research-focused modules provide students with valuable experience in experimental design, data analysis, and scientific communication.
Industry Engagement: The University of Limerick collaborates closely with industry partners to ensure that the Bachelor of Science in Artificial Intelligence and Machine Learning program is aligned with industry needs and trends. Students have opportunities for internships, work placements, and industry projects with leading companies in sectors such as technology, healthcare, finance, manufacturing, and entertainment. Industry engagement activities provide students with practical experience, industry insights, and networking opportunities, enhancing their employability and preparing them for careers in AI and ML-related roles.
Global Perspective: The Bachelor of Science in Artificial Intelligence and Machine Learning program at the University of Limerick emphasizes a global perspective on AI and ML, recognizing the international nature of technological innovation and collaboration. The curriculum includes modules on global AI trends, cross-cultural considerations in AI development, and ethical implications of AI technologies. Students have the opportunity to participate in international research collaborations, study abroad programs, and industry partnerships, gaining exposure to diverse perspectives and global best practices in AI and ML.
Location
Limerick
Score
IELTS 6.5
Tuition Fee
€ 21000
Undergraduate Entry Requirements
Application Fee: € 50
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 90 with a minimum of 21 in each section.
- PTE: Overall score of 61 with a minimum of 59 in each section.
- DET: Overall score of 120 with no section score below 110 is required.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
The University of Limerick (UL) is supporting the academic aspirations of international students by offering various scholarship opportunities that recognize academic excellence, talent, and diverse backgrounds.
Merit-Based Scholarships: UL provides a range of merit-based scholarships for international students based on academic achievements, varying from undergraduate to postgraduate levels. These scholarships are awarded to high-achieving students who demonstrate exceptional academic performance.
Country-Specific Scholarships: The university also offers scholarships specifically tailored to students from certain countries or regions. These scholarships aim to encourage diversity and attract exceptional talent from different parts of the world, providing financial support to deserving candidates.
Sports Scholarships: UL values sporting achievements and offers scholarships to international students who excel in sports. These scholarships support athletes pursuing their academic goals while representing the university in various sporting events.
Graduates of the Bachelor of Science in Artificial Intelligence and Machine Learning program from the University of Limerick are well-equipped to pursue exciting careers in various industries that leverage artificial intelligence (AI) and machine learning (ML) technologies.
Data Scientist: Graduates can pursue careers as data scientists, leveraging their skills in AI and ML to analyze large datasets, extract insights, and develop predictive models. Data scientists work across industries such as finance, healthcare, e-commerce, and telecommunications, helping organizations make data-driven decisions and optimize business processes.
Machine Learning Engineer: Graduates can work as machine learning engineers, designing and implementing ML algorithms and systems for applications such as recommendation systems, fraud detection, autonomous vehicles, and natural language processing. Machine learning engineers collaborate with cross-functional teams to deploy ML models in production environments and optimize their performance.
AI Researcher: Graduates with a passion for research can pursue careers as AI researchers, contributing to advancements in AI and ML technologies through academic or industry research. AI researchers explore topics such as deep learning, reinforcement learning, computer vision, and robotics, pushing the boundaries of AI capabilities and solving complex problems.
AI Software Developer: Graduates can work as AI software developers, building AI-powered applications, platforms, and systems for diverse use cases. AI software developers code algorithms, integrate AI frameworks, and deploy AI solutions in software products and services. They may specialize in areas such as computer vision, speech recognition, or intelligent automation.
Robotics Engineer: Graduates interested in robotics can pursue careers as robotics engineers, designing and developing autonomous robots and robotic systems. Robotics engineers apply AI and ML techniques to enable robots to perceive, navigate, and interact with their environments. They work in industries such as manufacturing, healthcare, agriculture, and space exploration.
AI Consultant: Graduates can work as AI consultants, providing strategic advice and technical expertise to organizations seeking to adopt AI and ML technologies. AI consultants assess business needs, identify AI opportunities, and develop AI strategies and roadmaps. They help clients implement AI solutions, train personnel, and ensure successful AI adoption.
Data Analyst: Graduates can pursue careers as data analysts, focusing on the analysis, interpretation, and visualization of data to derive actionable insights. Data analysts work with AI and ML tools to perform descriptive and diagnostic analytics, uncovering patterns, trends, and anomalies in data. They communicate findings to stakeholders and support decision-making processes.
AI Product Manager: Graduates can work as AI product managers, overseeing the development and deployment of AI-powered products and services. AI product managers define product requirements, prioritize features, and collaborate with engineering teams to build scalable and user-friendly AI solutions. They also conduct market research, gather customer feedback, and drive product innovation.
Ethical AI Specialist: Graduates can specialize in ethical AI and work as ethical AI specialists or AI ethicists, ensuring that AI systems are developed and deployed responsibly, ethically, and inclusively. Ethical AI specialists assess the social and ethical implications of AI technologies, advocate for fairness and transparency, and design AI systems that respect human rights and values.
Entrepreneur: Graduates with entrepreneurial aspirations can start their own AI and ML ventures, launching startups or consulting firms focused on AI innovation, product development, or AI-driven solutions. Entrepreneurs in AI may develop AI-powered apps, platforms, or services, targeting emerging markets or addressing societal challenges with innovative AI solutions.
