MSc Data Science and AI

The standard minimum entry requirements for this course are: 

• An honours degree in a relevant subject such as Computer Science, Data Science, Computing, Mechanical or Electrical Engineering, Joint Computer Science + Arts/Humanities programme.  
• OR a professional qualification recognised as equivalent to an Honours degree in a technology-related or engineering discipline. 
• AND typically, at least Grade B/Grade 6 at GCSE Mathematics. 

For fees and funding information, please see website 

Computing graduates are highly sought after across sectors and our degrees facilitate progression to a wide range of careers in both industry and academia. Graduates can join large companies or start their own business using their engineering skills and their knowledge of computational innovation.

Graduates can become:

• Data scientists for large and small technology companies
  Specialists in NLP, voice technology and computer vision
  Data science researchers
• IT professionals across a variety of sectors
• Founders of technology start-ups in sectors such as finance, healthcare and the creative industries.

Opportunities for Further study:

• PhD level study both within the CCI and at other institutions nationally and internationally

Studying Data Science and AI at master’s level with us gives you the opportunity to deepen your core competencies in data science and AI, and to strengthen your skills in developing data- and AI-driven products and services. Furthermore, the ethical and social dimensions of data science and AI are actively explored in this course—ensuring you have a deep and critical understanding of the impacts of related technologies, and a familiarity with human-centred methods for designing and reasoning about new systems.

In this course, you will apply scientific and mathematical principles to guide the creation and evaluation of mathematical models of real-world problems, using computer programming. You will also use programming to implement, experiment with, and deploy machine learning systems. You will focus on applications of data science and AI to a broad range of domains, involving diverse types of data and content, from numerical data to text and media. You will critically engage with contemporary thinkers from diverse disciplines concerned with the ethical and social implications of data science and AI. You will also work in collaborative, creative problem solving which leverages and strengthens your technical and teamwork skills, your critical thinking, and your knowledge of application domains and stakeholders.

You will undertake a thesis project that targets your preferred technology sector or domain of work, supporting your progression to industry or further academic research.

What to expect

• Technical skills for data science and AI: You will learn advanced coding, data science and AI skills that make use of key modern programming languages and technical frameworks, which can be applied in a wide range of data science and AI industries and beyond.
• Project-based learning: You will complete a range of data science and AI projects, applying your skills and knowledge to real-world problems. Frequent and regular hands-on learning activities give you ample time to practice new skills while receiving rich feedback.
• Ethical data and AI practices: You will learn how data and AI practices have the potential to impact individuals and society, and you will learn about techniques for human-centred design and critique of data and AI systems.
• Collaboration and creativity: You will collaborate with your postgraduate peers to creatively solve problems together, bringing your varied undergraduate, professional, and personal experiences to advanced problems. These abilities and attributes are sought after by many graduate employers.
• The CCI community: you will join a significant community of students, academics and researchers who are passionate about the future of computing. We believe that becoming an effective and ethical professional computing practitioner requires training not only in technical skills, but also in creative thinking, awareness of how computing intersects with society and the environment, and development and design practices that put people first. You will learn alongside MSc students on our other postgraduate courses. You will also be part of our integrated online community where you can access technical support, events, employment opportunities and more.
• A supportive environment: you will have access to both technical and pastoral support and be part of a community committed to promoting accessibility, diversity and inclusion.