MSc Data Science and Artificial Intelligence
Dubai, United Arab Emirates
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
On-Campus
Key Summary
About: The MSc Data Science and Artificial Intelligence at Middlesex University Dubai focuses on responsible AI, industry collaboration, and real-world application. You’ll study generative AI, large language models (LLMs), deep learning, natural language processing, big data analytics, data engineering, modeling, data preprocessing, interactive visualization, and AI governance. The programme includes research methods and an independent research or industry project across sectors such as healthcare, finance, and education.
Career Outcomes: Graduates gain technical grounding to pursue roles across AI, data and industry sectors. Potential paths include AI engineer, MLOps engineer, data engineer, applied machine learning engineer, data scientist, or doctoral study.
With a strong emphasis on responsible AI, real-world application, and industry collaboration, you will be equipped to lead in the rapidly evolving field of artificial intelligence.
Mode of Study Options: All classes are held in person on campus, at the Dubai Knowledge Park campus in the heart of the city.
What You Will Study on Your MSc Artificial Intelligence and Data Science Programme
This programme provides a solid foundation in artificial intelligence, generative AI, data engineering, and data science, combining theoretical knowledge with hands-on experience. You 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.
The curriculum also addresses the ethical, legal, and societal implications of AI, along with research methods to support innovation. Graduates will be equipped with the technical and critical thinking skills required for careers in AI, data science, or further research at doctoral level.
Advance Your Expertise in AI, Machine Learning, and Data Science Solutions
The programme will equip you with advanced skills in AI and machine learning, including the design and optimisation of generative models and large language models (LLMs) for diverse tasks. You will gain hands-on experience in data preprocessing, modelling, and analysis of structured and unstructured datasets using modern AI tools. Emphasis is placed on creating interactive visualisations and AI-generated narratives to support data-driven decision-making. Ethical, legal, and governance frameworks will also be explored to ensure responsible use of AI technologies.
You will complete an independent research or industry project, applying AI and data analytics to real-world problems in sectors like healthcare, finance, and education.
Compulsory Modules
- Machine Learning and Advanced AI Algorithms - 30 credits (Compulsory)
- AI in Business: Applied Analytics Life Cycle - 15 credits (Compulsory)
- Ethics, Privacy, and Security in Data Science and AI - 15 credits (Compulsory)
- Data Visualisation, Computer Vision and Imaging - 30 credits (Compulsory)
- Data Engineering for AI - 15 credits (Compulsory)
- Generative AI and Large Language Models (LLMs) - 15 credits (Compulsory)
- Individual Artificial Intelligence Project - 60 credits (Compulsory)
Please Note:
Both core and optional modules are constantly updated and under review. As with most academic programmes, please remember that it is possible that a module may not be offered in any particular year, for instance, because too few students opt for it. Middlesex University reserves the right to vary or withdraw any course or module.
Where Your UK Degree Will Take Your Career
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 like Dubai’s AI Strategy 2031, or pursuing further research and academic careers. The programme's strong emphasis on scalable AI systems and real-world applications positions graduates for leadership in a rapidly evolving technological landscape.
Our on-campus and Virtual Open Days are held regularly throughout the year. There’s no better way to learn about studying at Middlesex University Dubai. You can enjoy a campus tour of our state-of-the-art facilities, engage with our faculty members, conne
Teaching
Classes are held at Dubai Knowledge Park campus Monday to Friday, between 8:30 am and 5:30 pm. No classes are scheduled on Fridays between 12.00 pm and 2.00 pm. Occasional sessions may be scheduled over weekends or holiday periods, and you can expect plenty of notice for these. Attending scheduled weekly classes is an important requirement for completion of the programme.
Students will be involved in a range of learning, teaching, and assessment approaches. Such approaches aim to put students at the centre of their own learning so that they are engaged and involved in all aspects. The programme requires active involvement and collaboration with fellow students, including working and learning as part of small groups. Learning activities may occur both within and outside the classroom.
Students will be supported by technology, and faculty will use existing and emerging tech to engage with students. The programme may be facilitated using a variety of online tools (My Learning on UniHub, podcasts, wikis, etc.). By engaging with e-learning, students will be developing additional skills highly valued by employers. These include working flexibly, communication, understanding of IT, and teamwork.
