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BSc (Hons) Artificial Intelligence and Data Science

  • Undergraduate
  • London
Last Updated: 02/07/2026View on Institutions website
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BSc (Hons) Artificial Intelligence and Data Science
Middlesex University London

Course Overview

Intake

N/A

Duration

3 years

Course Description

The Artificial Intelligence and Data Science BSc Honours at Middlesex University London is designed for students eager to master the latest AI technologies and data science systems. This course provides a comprehensive foundation in machine learning, Python programming, and data analysis, preparing students for the high-demand global job market. Students can choose a three-year full-time path, a four-year route including an optional industrial placement year to gain professional experience, or a six-year part-time study mode. The curriculum covers advanced topics such as Large Language Models (LLMs), neural networks, and robotics, taught by leading experts in the field. Learning takes place in state-of-the-art laboratories, ensuring students develop practical, real-world skills. Whether aiming for a career in AI development, data analysis, or further postgraduate study, this programme equips students with the technical expertise and entrepreneurial mindset needed to thrive. Nova Pathways is here to assist you in understanding these course details and guiding you through the application process to Middlesex University London.

Tuition Fee Details

For the 2026/27 academic year, the full-time UK tuition fee is £9,790. Part-time study is charged at £81 per taught credit for UK students. Tuition fees are subject to annual review and the institution reserves the right to increase fees in line with changes to legislation, regulation, and government guidance. Applicants should check the institution website for the latest fee information.

Entry Requirements

Academic Requirements

UK qualifications

UCAS: 80-112 tariff points.

A-Levels: BB-BBC.

BTEC: MMP-DMM.

Access to HE: Overall pass including 45 credits at level 3 (15 Distinction, 30 Merit or higher).

Other qualifications

The institution accepts a wide range of international qualifications.

English Language Requirements

Other

Applicants must meet the institution's English language requirements; pre-sessional English courses are available.

Other Requirements

Other

Mature students (over 21) are welcomed and individual circumstances are considered.

For more information about the General Entry Requirements please visit the institution page

Course Structure

Programming for Data Communications and Networks

30 Credits

Introduction to AI and Data Science

30 Credits

Algorithms and Data Analysis

30 Credits

Foundations of Computing

30 Credits

Frequently Asked Questions

Graduates can pursue roles such as data scientist, software developer, AI developer, machine learning engineer, and business intelligence analyst across industries like tech, healthcare, and finance. Nova Pathways can help you explore how these career paths align with your professional goals.