MSc Digital Marketing Strategy
The MSc in Digital Marketing Strategy at Trinity College Dublin (TCD) is an advanced pr...
Dublin
INTAKE: September
The MSc in Computer Science with a focus on Intelligent Systems at Trinity College Dublin (TCD) is a forward-looking program aimed at providing students with in-depth knowledge and skills in artificial intelligence (AI), machine learning (ML), and intelligent computing systems.
Curriculum: The curriculum encompasses a wide range of subjects including AI algorithms, machine learning models, natural language processing (NLP), robotics, and cognitive computing. Students engage in practical projects, hands-on workshops, and case studies, developing expertise in building intelligent systems.
Research Focus: The program emphasizes a research-oriented approach, allowing students to delve into advanced topics in intelligent systems. Research areas may include deep learning, reinforcement learning, human-robot interaction, explainable AI, or applications of intelligent systems in diverse domains.
Industry Engagement: TCD collaborates with tech companies, research centers, and AI-driven enterprises. This collaboration provides students with opportunities for internships, industry projects, or collaborations, enabling them to apply AI and intelligent systems in real-world settings.
Global Perspective: Recognizing the global impact of intelligent systems, the program explores international advancements and applications of AI across different industries and regions. It considers ethical implications, cultural diversity, and global trends in AI, preparing students for international career prospects.
Dublin
IELTS 6.5
€ 25240
Postgraduate Entry Requirements
Academic Qualifications: For admission to postgraduate programs at Trinity College Dublin, international students are typically required to have achieved a minimum academic score of 65% or above in their prior qualifications.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Trinity College Dublin offers an array of scholarships to attract and support international students seeking to pursue undergraduate and postgraduate studies. These scholarships aim to recognize academic excellence, promote diversity, and provide financial assistance to talented individuals from around the world.
Trinity Global Graduate Award: This award provides financial assistance to high-achieving international students applying for postgraduate programs. It covers full tuition fees for successful applicants, ensuring access to Trinity's exceptional academic offerings.
Trinity College Dublin Scholarships: These scholarships are available for both undergraduate and postgraduate international students based on academic merit and may cover partial tuition fees or provide stipends to support living expenses.
Government and External Scholarships: TCD facilitates numerous external scholarship programs offered by governments, foundations, and organizations worldwide. These scholarships vary in criteria and scope, providing opportunities for international students across different academic disciplines.
Specific Program Scholarships: Certain academic departments or faculties within Trinity College Dublin may offer scholarships tailored to specific fields of study or research areas. These scholarships aim to attract exceptional talent and encourage students to pursue specialized programs.
Sports Scholarships: TCD also recognizes athletic excellence by offering scholarships to international students with outstanding sports achievements. These scholarships support student-athletes in balancing their academic pursuits with sports participation.
Graduates from the MSc in Computer Science - Intelligent Systems program at TCD have diverse career paths.
AI/Machine Learning Engineer: Graduates often pursue roles as AI or ML engineers, developing algorithms and models for intelligent systems in technology companies or research institutions.
Data Scientist: Some graduates become data scientists, working on data-driven projects, and applying AI techniques to derive insights from large datasets.
Robotics Engineer: Alumni may work as robotics engineers, designing and developing intelligent systems for automation or robotics applications.
AI Consultant: Graduates might become AI consultants, offering expertise in implementing intelligent systems across industries like healthcare, finance, or manufacturing.
Research Scientist: Some graduates pursue research careers, contributing to advancements in intelligent systems through innovative research in academia or industry.