1. Queen Mary University of London
  2. Program
  3. Masters
  4. Data Science and Artificial Intelligence (Conversion Programme) MSc

Data Science and Artificial Intelligence (Conversion Programme) MSc

1 Year On Campus Masters Program

Queen Mary University of London

Program Overview

The MSc in Data Science & Artificial Intelligence (Conversion) at Queen Mary University of London equips students — including those from non-computing backgrounds — with the core programming, statistics, machine-learning and data-analysis skills needed for careers in AI and data science. It suits graduates seeking to transition into technical, analytical or AI-driven roles across industry.

Curriculum Structure

What students learn (Full-time, 1 year)

Students begin with intensive foundational training in programming and statistics to ensure they can confidently progress into advanced topics.
They then study core modules such as Programming for AI and Data Science, Statistics for AI and Data Science, Principles of Machine Learning, Neural Networks and Deep Learning, and Data Mining & Information Retrieval, gaining skills in model-building, data processing and analytic reasoning.
The year concludes with a Major Project / Dissertation, where students apply AI and data-science methods to a substantial real-world or research challenge, building an industry-ready portfolio.

Focus areas: “Programming; statistics; machine learning; deep learning; data mining; information retrieval; applied AI project”.

Learning outcomes: “Develop programming and statistical competence; build machine-learning and deep-learning models; analyse and interpret complex datasets; design AI-driven solutions; complete an end-to-end data-science or AI project”.

Professional alignment (accreditation): Designed as a conversion route for non-CS graduates, the programme aligns with industry demand for AI and data-science professionals trained in both foundational and advanced methods.

Reputation (employability rankings): Queen Mary is widely recognised for strong research and teaching in AI and data science, supporting strong employment outcomes for graduates entering analytics, machine learning, AI engineering and related fields.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science and Artificial Intelligence (Conversion) at Queen Mary University of London provides intensive practical programming and analytical skills for students from non-computing backgrounds. Students apply core AI and data science techniques using professional tools in dedicated computing facilities.

Key experiential components:

  • Software & Tools: Foundational to advanced programming in Python (Pandas, NumPy, scikit-learn, TensorFlow/PyTorch), data management with SQL, and analysis within Jupyter notebooks, using Git for version control.

  • Computing Facilities: Access to Queen Mary's High-Performance Computing (HPC) facilities and teaching labs within the School of Electronic Engineering and Computer Science, equipped for data-intensive computing and machine learning.

  • Group Projects: A significant collaborative software and analytics project, where student teams work together to design, build, and evaluate a data-driven AI application, simulating a professional development environment.

  • Applied Conversion Focus: The programme is designed to build a strong technical portfolio from the ground up. The final individual project is a substantial piece of work, applying data science and AI methods to a substantial problem, often with a research or industry application.

Progression & Future Opportunities

Graduates of Queen Mary University of London's MSc Data Science and Artificial Intelligence (Conversion Programme) secure roles as data scientists, machine learning engineers, AI developers, and analytics consultants across tech, finance, healthcare, and retail sectors:​

  • Careers Service offers CV workshops, interview coaching, industry networking, and alumni support for post-study job transitions.​

  • Average salary £37,166; Machine Learning Engineers earn £60k+ amid high London demand.​

  • Research collaborations in ML, NLP, computer vision via cutting-edge labs and projects.​

  • BCS accreditation supports Chartered IT Professional status for senior AI leadership.​

  • Strong outcomes in business solutions, environmental/healthcare AI, or research.​

Further Academic Progression: Graduates can pursue PhD in data science/AI at QMUL/elsewhere, extending major project on ML/NLP into advanced research.

Program Key Stats

£33,000 (Annual cost)
£ 29
Sept Intake : 1st Sep


No
Yes

Eligibility Criteria

3.2
3 or 4 Years

N/A
N/A
N/A
6.5
92
2:1
60 - 70
6 - 7
70 - 80

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • AI Developer
  • Data Analyst
  • Business Intelligence Developer
  • Research Analyst (AI/Data)

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