Course summary
AI is transforming the way businesses operate and creating an unparalleled demand for experts who can leverage its power effectively. Our Business Analytics and Artificial Intelligence programme focuses on the interface between technology and business, preparing you to thrive in this transformative era. You’ll gain the skills and confidence to harness the power of data and AI, driving innovation, boosting efficiency, and making a real impact. The programme balances technical skills in analytics and AI, including generative AI, industry-standard tools, predictive analytics, and data management, with essential behavioural competencies demanded by employers, such as storytelling, influencing, and problem-solving. It also places a strong emphasis on ethics, responsible AI, sustainability, and governance, ensuring you are equipped to lead with integrity. At NTU, you’ll learn from industry leaders, connect with a global network of peers and professionals, and receive personalised career support every step of the way. We’re here to help you stand out and succeed in a competitive, fast-changing world. We’re proud to be one of the 1% — the small proportion of business schools worldwide to earn the ‘Triple Crown’ of EQUIS, AACSB and AMBA accreditation. We’re also one of the United Nations’ 47 global PRME Champions, leading the way in sustainable, responsible business education. You’ll find that same ethical commitment in NTU’s masters programmes.
Modules
For information about the modules for this course, please visit: https://www.ntu.ac.uk/course/nottingham-business-school/pg/msc-business-analytics-and-artificial-intelligence
Assessment method
A range of assessment methods are used across the course, the choice of which reflects the needs and demands of the different types of module. Some modules will assess the ability to work collaboratively in a team and others will assess individual capability. Types of assessment will range from examinations to group presentations including essays, reports, financial analyses, literature reviews and research based projects. The interactive nature of the taught sessions offers opportunities to gain feedback on your performance before being formally assessed and increasing use is made of eLearning to further support the feedback process.
Entry requirements
A UK honours degree (2.2 or above) containing some evidence of quantitative ability. Applicants will require a solid foundation on quantitative methods that could have been acquired through modules completed during their undergraduate studies, i.e. Statistics, quantitative methods, financial mathematics, data analytics, and any coding-related modules. Applicants with non-standard entry requirements and / or relevant experience will be considered on an individual basis. International students need IELTS 6.5 (with minimum of 5.5 in reading, listening, speaking and writing). One academic reference is required.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
For information about our fees and funding, please visit: https://www.ntu.ac.uk/course/nottingham-business-school/pg/msc-sustainable-finance
Sponsorship information
Nottingham Trent University offers a range of competitive scholarships. Find out more about funding support here: https://www.ntu.ac.uk/study-and-courses/postgraduate/fees-and-funding/postgraduate-scholarships.
Provider information
Nottingham Trent University
50 Shakespeare Street
Nottingham
NG1 4FQ