2-Term International Incorporated Masters (IIM) - Continue to Master of Science - Applied Artificial Intelligence and Data Analytics

The Pre-Masters is offered over one or two terms and is designed for students who do not qualify for direct entry to the masters programmes at the university, this could be because of the grades achieved in a bachelor degree; current qualifications are not equivalent to a UK bachelor degree or because students have a different background.

After successfully completing the Pre-Masters students will continue on to a chosen postgraduate degree course at the University of Bradford. During the IFY students will: • Study at the university campus • Have full access to the university amenities and student benefits

Applied Artificial Intelligence and Data Analytics

The world is more data-driven than ever, and while specialist analytical, digital, data science, and artificial intelligence skills are in high demand, the supply is still very limited. There is a lack of experts in data science and artificial intelligence and this lack of expertise means that, currently, only few companies are actually able to exploit the full potential of their data sets and transform the same into a competitive advantage. This MSc course has been designed in response to the shortage of Artificial Intelligence (AI) and Data Analytics (DA) specialists in the UK. It will give you the skills and professional insight you need to launch a career in these diverse and fast-growing sectors. This course will provide you with an applied understanding of Artificial Intelligence and Data Analytics. And suitable for applicants from all backgrounds and no prior technical knowledge is required. You will develop the relevant technical skills you need as part of the course. Technical skills you will develop include knowledge in applications such as, Python, R, AWS, MS Azure, SAS, SPSS, and Excel. Non-technical soft skills, the development of which are key to your long-term success in any industry, include data-driven decision-making, critical thinking, business acumen and entrepreneurship, and communication, teamwork and leadership skills. You will graduate as a confident, creative, enterprising, independent data modeller and interpreter, able to select appropriate AI and DS tools for a given practical problem and perform empirical analysis that feeds into data-driven decision-making.