MSc Artificial Intelligence & Data Analytics
Entry 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.
Months of entry
January, September
Course content
The MSc Artificial Intelligence & Data Analytics programme is designed to support the career development of AI aThe MSc Artificial Intelligence & Data Analytics programme is 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.nd 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.
Our MSc Artificial Intelligence and Data Analytics will enable students to specialise in AI and Data Analytics to work in an economy where this skill set is greatly needed. Students will build on their previous computational expertise and acquire the skills they need to become AI and Data specialists with commercial awareness.
Fees and funding
Scholarships:
September 2023 cohort
Home: £1,500
International: £3,500
January 2024 cohort
Home: £1,000
International: £2,500
Qualification, course duration and attendance options
- MSc
- part time24 months
- Campus-based learningis available for this qualification
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions