MSc Artificial Intelligence & Data Science

Entry requirements

Offers are typically made to applicants holding a minimum of 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
• 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.

Months of entry

January, September

Course content

The MSc Artificial Intelligence & Data Science offers a programme of study that has been designed to support the career development of AI and data science professionals by providing graduates with the in-depth knowledge, skills and experience that are required by businesses and organisations in the technology sector.

By studying this programme, learners will gain an in-depth understanding of the statistical and mathematical foundations of AI and achieve advanced practical knowledge of AI and machine learning methodologies applied to complex datasets to meet business objectives.

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.

Suitable for recent graduates and for those looking to retrain or restart careers, the MSc Artificial Intelligence & Data Science provides an ideal pathway for those aspiring to further their career in the advanced application of artificial intelligence (AI) and data specialisms. Learners will have the opportunity to further their career from day one of the programme by gaining professional skills, status and accreditation as they progress.

Information 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

Fees and funding