Atlantic Technological University

Overview

The MSc in Computing in Big Data Analytics and Artificial Intelligence at Atlantic Technological University equips students with the essential skills to analyze large-scale data and develop AI-driven solutions. This program emphasizes the practical application of machine learning, natural language processing, and computer vision techniques to tackle real-world challenges across various industries.

• Level: Master of Science (MSc)
• Duration: Typically 12 months full-time or 24 months part-time
• Credits: Credit structure may vary by study mode (please confirm with the program team)
• Delivery: Available in full-time or part-time formats (timetable and module availability may vary)
• Focus: Big data analytics, machine learning, artificial intelligence, computer vision, and natural language processing
• Language of instruction: English
• Tuition fees: Please refer to the program website for current fee information
• Intakes: Check the program website for available start dates

What you'll study

The MSc program is designed to progress from foundational topics in analytics and AI to more advanced and applied modules. The specific sequence of modules may vary based on the intake and study mode.

• Big Data Analytics
• Machine Learning
• Principles of Artificial Intelligence
• Mathematics for Analytics
• Big Data Architecture
• Artificial Intelligence for Vision and NLP

Capstone / final assessment: The program typically culminates in a final assessment or project that focuses on applications of big data analytics and AI. Please verify the format of the final module (such as project or dissertation) with the program team.

How you learn: The learning approach includes a blend of lectures, problem-based learning, practical assignments, and model development activities, fostering an applied understanding of AI and analytics.

Entry requirements

To be eligible for admission to the MSc in Computing in Big Data Analytics and Artificial Intelligence, candidates generally need to hold a minimum of a Lower Second Class degree or an equivalent qualification from a recognized institution.

Career prospects

Graduates of this program will be well-positioned for a variety of roles in the rapidly expanding fields of big data and artificial intelligence. Potential career paths include data analyst, machine learning engineer, AI consultant, and data scientist, among others. The skills acquired during the course prepare students to address complex challenges in numerous sectors, enhancing their employability in a competitive job market.