Data Science and Artificial Intelligence

Program Overview

The MSc Data Science and Artificial Intelligence program at Leeds Trinity University equips students with the skills and knowledge to thrive in the era of big data and AI. It focuses on developing data analysis, machine learning, and ethical AI expertise, preparing graduates for careers in data science, AI development, and related fields. The program emphasizes hands-on experience using industry-standard tools and technologies, and promotes responsible and ethical use of data and AI.

Program Outline

MSc Data Science and Artificial Intelligence at Leeds Trinity University

Degree Overview:

This program aims to equip students with the necessary skills and knowledge to thrive in the era of big data and artificial intelligence. It focuses on developing data analysis, machine learning, and ethical AI expertise, alongside hands-on experience using industry-standard tools and technologies. The program prepares graduates for careers in data science, AI development, and related fields.

Outline:

• Duration: Full-time (1 year) or Part-time (2 years)
• Modules:
• Fundamentals for Data Science
• Programming for Data Science and Artificial Intelligence
• Machine Learning
• Big Data Analytics and Visualization
• Ethics, Transparency and Accountability
• Project (with options for individual interests and industry partnerships)
• Course Structure:
• Full-time: 3 semesters with a mix of lectures, workshops, and individual supervision.
• Part-time: 4 semesters with a similar structure.
• Assessment:
• Continuous assessment throughout the program through assignments, projects, presentations, and examinations.
• Focus on real-world problem-solving and application of knowledge.

Teaching:

• Lecturers: Experienced professionals and academics with expertise in data science and AI.
• Teaching Methods: Interactive lectures, hands-on workshops, individual supervision, and project work.
• Unique Approach: Emphasis on ethical considerations and responsible AI development alongside technical skills.

Careers:

• Potential Careers: Data Analyst, AI Developer, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Strategic Data Insight, and more.
• Opportunities: The program prepares graduates for a wide range of roles in various industries, including technology, finance, healthcare, and research.
• Outcomes: Graduates are equipped to contribute to decision-making processes based on data-driven insights and ethical considerations.

Other:

• Scholarships: Available for eligible students from underrepresented groups.
• Professional Work Placements: Available for students to gain practical experience.
• Access to cutting-edge facilities and software: Including Cloud Services, ML Pipelines, Tableau, Hadoop, and more.

Additional Information:

• The program welcomes students from diverse academic backgrounds, including those without prior experience in computer science.
• The program aims to develop graduates who are not only technically skilled but also responsible and ethical in their use of data and AI.
It is recommended to visit the official program website for the most up-to-date and detailed information.