MSc Artificial Intelligence & Data Science Northeastern University London
The MSc Artificial Intelligence & Data Science will develop professional practice, contextualised to the workplace using industry-standard technologies and approaches that are shaped by modern businesses. Learners studying this programme are likely to be working, or aspiring to work, in roles that focus on the advanced application of artificial intelligence (AI) and data specialisms within a business context.
The MSc award is 180 credits and students will be considered part-time. Each course, typically 15 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical work activities that are expected in an AI and data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.
In their daily work, an employee in this occupation interacts with a broad spectrum of people and collaborates with, and provides technical authority and insight to, a diverse business community of Senior Leaders, Data Scientists, Data Engineers, Statisticians, Analysts, Research and Development Scientists and Academics. Their interactions extend to working externally alongside other organisations, such as local and international governments, businesses, policy regulators, academic research scientists and non-technical audiences. They will work independently and collaboratively as required, reporting to Heads of Data, Chief Architects, Company Directors, Product Managers and senior decision makers within any organisation.
The flexible, part-time structure of this programme allows students to learn at the highest level and progress into higher-skilled occupations. Our programme has been built with an employer group to ensure that learners can be more productive at work as soon as possible, getting involved in activities at work to embed the knowledge, skills, experience and behaviours learned throughout the degree programme.
We deliver our learning for this degree in flexible, modular courses based on each individual’s prior knowledge, skills, and experience. We offer multiple start times throughout the year, learning through block sessions, online courses, assignments and project work.
Learners will need to study for approximately 49 days in the first year (committing to one day per week for 44 weeks and one five-day online bootcamp) and for approximately 33 days in the second year (one day per week for 28 weeks and one five days online bootcamp).
- Offers are typically made to applicants holding a minimum of a lower second-class honours undergraduate degree (or equivalent) in a STEM discipline.
- Please note that GCSE Grades 4 or C in English and Mathematics, or the equivalent, are required for the MSc Artificial Intelligence & Data Science.
- 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
Each applicant will be assessed on an individual basis through their application, a reference, a personal statement and an interview.
For international students
English language requirements
- English language proficiency proof. Students for whom English is not their primary language must submit one of the following:
- Official associate or bachelor’s degree transcript from an accredited college or university in the U.S., stating degree conferral and date
- TOEFL, IELTS, PTE, Duolingo, or NU Global Exam scores
English Language Requirements
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