Program Overview

MSc Data Science and Artificial Intelligence Programme

The MSc in Data Science and Artificial Intelligence (AI) will prepare students to become future-ready AI professionals with expertise in advanced machine learning, generative models, data engineering, and data science. The programme combines theoretical foundations with practical experience, enabling students to design scalable, ethical, and innovative AI solutions across industries.

Programme Modules

• Machine Learning and AI Algorithms (30 credits) - Compulsory
  • This module aims to equip students with an understanding of machine learning and artificial intelligence algorithms, focusing on both theoretical and practical foundations of state-of-the-art techniques.
• Applied Data Science Life Cycle (15 credits) - Compulsory
  • This module equips students with practical and strategic competencies in applying Data Science to business contexts, blending the art of use case development with the science of analytical modeling.
• Ethics, Privacy, and Security in Data Science and AI (15 credits) - Compulsory
  • This module provides a comprehensive exploration of the ethical, legal, and security dimensions associated with data science and artificial intelligence.
• Data Visualisation, Computer Vision and Imaging (30 credits) - Compulsory
  • This module provides an understanding of the methods, theories, and techniques relevant to interactive visual data analysis.
• Data Engineering (15 credits) - Compulsory
  • This module focuses on the applied aspects of data engineering critical for executing Data Science workloads at scale.
• Generative AI and Large Language Models (LLMs) (15 credits) - Compulsory
  • This module aims to equip students with a comprehensive understanding of Generative AI and Large Language Models (LLMs), such as GPT and BERT.
• Individual Project (60 credits) - Compulsory
  • This capstone project offers students the opportunity to consolidate and extend their knowledge by engaging with a real-world data science problem.

Programme Content

The programme provides a solid foundation in artificial intelligence, generative AI, data engineering, and data science, combining theoretical knowledge with hands-on experience. Students will explore advanced topics such as large language models (LLMs), deep learning, natural language processing, and big data analytics, with a focus on real-world applications across multiple sectors.

Course Overview

• Fees (Full-Time): 74,263 AED (inclusive of VAT) for January intake, 76,491 AED (inclusive of VAT) for September intake
• Fees (Part-Time): Not specified
• Intake: January (part-time), September
• Duration: 1 year full-time, 2 years part-time
• Attendance: Full-time and part-time options available
• Course Leader: Dr. Krishnadas Nanath

Entry Requirements

• An Honours degree normally classified 2.2 or above, or equivalent, in engineering, computer science, or any numerate discipline.
• English Language Requirements:
  • IELTS Academic: 6.5 (with 6.0 in each component)
  • TOEFL Internet-based: 79 (Reading min 18, Writing min 21, Listening min 17, Speaking min 20)
  • Pearson PTE Academic: 59 (with 59 in all components)
  • Dubai Campus MDX Internal English Test: 6.5 (with 6.0 in each component)

Teaching

The course is taught through a series of practical workshops as well as self-directed study and project-based learning. Specialist facilities have been developed on campus exclusively for this degree, and students will be taught by experienced staff.

Work While You Study

Evening classes are designed to fit around a busy lifestyle, making it possible to work during the day while pursuing studies. This flexible schedule allows students to gain valuable professional experience or manage personal commitments alongside academic goals.

Future Career and Employment

The MSc Data Science and Artificial Intelligence programme equips graduates with advanced technical skills and ethical grounding, preparing them for high-demand roles in AI and data-driven industries. With a focus on deep learning, generative AI, data engineering, and responsible AI, graduates are ready to take on impactful roles across sectors such as AI Engineering, MLOps, Data Engineering, Applied Machine Learning, and Enterprise AI. Opportunities include working in innovative AI-driven industries, contributing to national initiatives, or pursuing further research and academic careers.