Overview
The Artificial Intelligence & Data Analytics M.Sc. at Northeastern University London provides students with the technical foundations and ethical perspectives required to lead in the rapidly evolving field of intelligent systems. This programme blends rigorous academic theory with applied experience to ensure graduates can design and manage complex AI solutions. Students benefit from a flexible curriculum that allows for specialisation in areas ranging from strategy and leadership to technical engineering.
Why Artificial Intelligence & Data Analytics at Northeastern University London?
Studying at this institution offers a unique vantage point in a culturally diverse global city, placing you at the heart of London’s tech and innovation sector. As part of a global network of campuses, the university provides access to state-of-the-art facilities and a community of over 300,000 alumni. The programme is distinguished by its experiential learning approach, including a unique postgraduate project that offers hands-on industry experience and professional feedback.
Tuition Fee Breakdown
- International fee: GBP 25522 per year
- National fee: GBP 11900 per year
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum covers the full spectrum of modern AI, from foundational principles to advanced autonomous decision-making. Modules may include:
- Agentic and Generative Artificial Intelligence
- Artificial Intelligence and Data Ethics
- Academic and Professional Enquiry Methods
- Machine Learning and Natural Language Processing
- Artificial Intelligence Dissertation Project
- Postgraduate In-the-Field Experiential Project
- Algorithms and Analytics
- Software Architecture for Artificial Intelligence
- Data-Driven Transformation
Careers with Artificial Intelligence & Data Analytics
Graduates are prepared for impactful roles across an economy increasingly driven by intelligent systems. The programme equips students with the strategic awareness and technical capability to excel in various sectors, including financial services, healthcare, and government policy. Dedicated careers support and employer events help students connect with a vast network of industry partners.
Potential career paths include roles such as AI Engineer, Machine Learning Developer, and AI Ethics Specialist. Graduates may also find success as Digital Transformation Consultants, AI Product Managers, or Strategy Leads. The focus on both technical and leadership skills ensures that alumni can communicate effectively with both specialist and non-specialist audiences in high-growth innovation environments.
Programme Structure
Courses include:
Programming for Data Applications
Theory and Applications of Data Analytics
AI & Data Ethics
Fundamentals of Computation, Data, and Algorithms
Machine Learning
Project Management and Communication
Advanced Data Engineering
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
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National: Applications are accepted year-round.
International: Apply as early as possible, and ideally at least three months before your start date
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Artificial Intelligence Data Analytics View 244 other Masters in Data Analytics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Offers are typically made to applicants holding an undergraduate degree with at least upper second-class honours (or equivalent)
Please note that GCSE Grades 4 or C in English and Mathematics, or the equivalent, are required for the MSc Artificial Intelligence & Data Analytics.
Applicants should be confident in Python in a data setting and have an awareness of machine learning (i.e. logistic or linear regression).
Knowledge of the following packages is also required:
- IDE’s – PyCharm, Eclipse
- Jupyter Notebook
- pandas
- Matplotlib
- NumPy
- seaborn
- unittest
- Databases
- sklearn
Each applicant will be assessed on an individual basis through their application, a reference, a personal statement and an interview.
Tuition Fees
-
International Applies to you
Applies to youNon-residents25522 GBP / year≈ 25522 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents12197 GBP / year≈ 12197 GBP / year
Additional Details
Part-time:
- Home: £5,695
- International: £11,905
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence & Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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