Course Details

BSc (Hons) Artificial Intelligence and Data Science

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

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Start Date

Contact for Details

Duration

3 years

Campus

London

Tuition Fee

£9,790 per year (UK home)

Study Mode

Full-time

Fee information

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.

Structure

Course Structure

Year 1

Programming for Data Communications and Networks
Introduction to AI and Data Science
Algorithms and Data Analysis
Foundations of Computing

Year 2

Web Applications and Databases
Data Analysis for Enterprise Modelling
Machine Learning and Other AI Techniques
Large Language Models

Year 3 - Placement Year (Optional)

Industrial Placement

Year 3 or 4 (Final Year)

Current Trends in AI
Undergraduate Individual Project
Biologically Inspired Algorithms - Optional
Artificial Intelligence (AI) in Robotics - Optional
Defensive Security - Optional
Mathematics of AI in Data Science - Optional
Spiking Neural Networks - Optional

Requirements

Entry Requirements

Learn about our mission to make higher education accessible and empowering for every

Academic Requirements

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). The institution accepts a wide range of international qualifications. Mature students (over 21) are welcomed and individual circumstances are considered.

English Language Requirements

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

FAQs

Frequently Asked Questions

What career options are available for me after completing Artificial Intelligence and Data Science BSc Honours from Middlesex University London?

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.

Can I study part-time at Middlesex University London?

Yes, this course is available as a six-year part-time programme. Please contact us at Nova Pathways if you would like support in understanding the structure of part-time study.

What kind of student support will I get from Middlesex University London?

Students have access to academic support, the Sheppard Library (open 7am-11pm), free laptop loans, and free printing. The institution also provides dedicated student wellbeing and support services.

Does Middlesex University London provide employability services?

Yes, the 'Careers and Futures' service offers lifetime career support, networking opportunities, and access to over 1,000 industry links. Nova Pathways can assist you in preparing for these opportunities during your application.

Does Middlesex University London offer placements and/or internships?

Yes, there is an optional year-long industrial placement available between the second and third years to enhance your employability. We can help you understand the benefits of this placement year.

Does Middlesex University London offer scholarships?

The institution offers various scholarships and bursaries to support students. You can find more information on their undergraduate finance page, and Nova Pathways can help you identify potential funding options.

What makes this course different from similar courses?

This course focuses on real-world skills from day one, using cutting-edge systems like Large Language Models (LLMs) and neural networks in state-of-the-art labs. It is taught by experts working at the forefront of AI.

Will this course help me build practical skills?

Absolutely. The course is heavily focused on practical experience, including software development, data analysis, and the creation of artefacts, supported by laboratory sessions and real-world projects.

What will my learning experience look like?

You will engage in a mix of workshops, seminars, labs, and independent study. The programme balances on-campus teaching with self-study, research, and collaborative group projects.

What should I know before applying for this course?

You should ensure you meet the UCAS point requirements and English language standards. Nova Pathways is available to guide you through the application process and ensure you have all necessary documentation.

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BSc (Hons) Artificial Intelligence and Data Science | ZSOS