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MSc Applied AI and Data Science

  • Postgraduate
  • London
Last Updated: 01/07/2026View on Institutions website
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MSc Applied AI and Data Science
Middlesex University London

Course Overview

Intake

N/A

Duration

1 year

Course Description

The Applied AI and Data Science MSc at Middlesex University London is designed for individuals with a background in mathematical science or computing who wish to advance their expertise for a career in data science. This postgraduate degree offers a unique fusion of machine learning, visual analytics, and corporate data governance, balancing theoretical foundations with practical, industry-recognised skills. Students can study full-time over one year or part-time over two years. The course includes an optional professional placement, which can extend the programme duration to 15 months for full-time students or 24 months for those on the extended placement route. Throughout the programme, students gain hands-on experience using industry-standard tools such as Python, AWS, and Apache Spark. The curriculum is designed to prepare graduates for diverse roles in sectors including technology, healthcare, finance, and public policy. By combining academic rigour with real-world data challenges, the institution ensures that students are well-equipped to excel in the rapidly evolving field of artificial intelligence and data science.

Tuition Fee Details

Full-time UK students: £11,700. Part-time UK students: £78 per credit and £38 per dissertation credit. A placement fee of £3,000 per year applies. The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. The tuition fees for part-time UK study are subject to annual review and the institution reserves the right to increase the fees each academic year by no more than the level of inflation.

Entry Requirements

Academic Requirements

UK qualifications

A minimum 2:2 honours degree in computer science, or a minimum 2:2 in a relevant subject (such as maths, physics, or engineering), or two or more years of relevant working experience (such as programming, data analytics or machine learning).

Graduate-level professional qualifications.

English Language Requirements

Other

Applicants must meet the institution's English language requirements. Pre-sessional English courses are available for those who do not meet the minimum criteria.

Other Requirements

Other

Relevant qualifications or work experience may be considered towards entry requirements.

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

Course Structure

AI-Enhanced image processing and computer vision

15 Credits

Machine Learning and AI for Data Science

30 Credits

Cloud and Big Data Technologies

15 Credits

Applied Data Science: From Processing to NLP and LLMs

30 Credits

Visual Data Analysis

15 Credits

Legal and Ethical Aspects of Data Science and AI

15 Credits

Research Methods and Postgraduate Project

60 Credits

Preparing for the Professional Placement

Credits

Postgraduate Work Placement - Optional

Credits

Postgraduate Work Placement (extended)- Optional

Credits

Frequently Asked Questions

Graduates are well-positioned for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and AI Developer across sectors like technology, healthcare, finance, government, and retail. Nova Pathways can assist you in exploring these career paths further.