考文垂大学 · 数据科学与计算智能理学硕士 硕士

📖 项目简介

There is a demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.

• Study topics in big data management, data protection and data ethics, statistical modelling, machine learning, deep learning, computer vision, natural language processing, generative AI and reinforcement learning.
• Explore how data science can be used to extract meaningful insights from both structured and unstructured data, leveraging concepts and tools from mathematics, statistics, computer science, machine learning and related disciplines.
• Learn about computational intelligence and how it plays a pivotal role in solving complex problems and simulating human-like intelligence in computational systems.
• Comprehensive technical knowledge - get an in-depth understanding of a broad range of concepts, algorithms, models, applications, and issues in data science and computational intelligence.
• Advanced AI applications - engage deeply with complex challenges in natural language processing, reinforcement learning, computer vision, big data management and statistical modelling.
• Ethics and responsibility - learn about critical legal, ethical, social and professional aspects, including responsible AI use, bias mitigation, data protection, transparency and sustainability.
• Research-informed teaching - study a course that has been designed in collaboration with Coventry University’s Centre for Computational Science and Mathematical Modelling. Our current research staff are involved in teaching some modules, supervising student projects and using current research to inform curriculum content.
• Professional placement opportunity - gain practical experience and boost your CV with an additional professional placement. See the modules for more details. 2

for overall satisfaction in Engineering and Technology

Postgraduate Taught Experience Survey (PTES) 2026 (ranked out of 44 HEIs)

The module The Data Science Professional meets the criteria set by the Chartered Management Institute (CMI) for the CMI Level 7 Certificate in Strategic Management and Leadership Practice. Students who successfully pass this module will be eligible to gain the award as an additional qualification at no additional cost.

I’m really enjoying the Data Science and Computational Intelligence MSc programme, especially learning from the experienced professors at Coventry University’s Centre for Computational Science and Mathematical Modelling whose expertise and passion make the experience both very rigorous and inspiring. The programme not only offers classes on classical ML but also has a strong focus on cutting edge areas like Generative AI. All in all a full stack AI programme.

📋 项目参数

🎯 入学要求

Typical entry requirements:

• UK
• International

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computer science, mathematics, statistics or engineering.

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

Select your region to find detailed information about entry requirements:

Africa

Americas

Central Asia

East Asia

Europe

Middle East

South Asia

South East Asia

You can view our full list of country specific entry requirements on our Entry requirements page.

Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computer science, mathematics, statistics or engineering.

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

• IELTS: 6.5 overall (with at least 5.5 in each component area)

If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

For more information on our approved English language tests visit our English language requirements page.

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