MSc Business Analytics and Artificial Intelligence

Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:

• MSc (full-time)
  UK students (per annum): £20,000
  International, including EU, students (per annum): £35,700

The fees quoted above are fully inclusive of tuition, administration and computational costs.

Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

We know that student finance can be complicated. The links below provide further information to help guide you.

Learn more about - student finance options for UK students.

Learn more about - fees and finance for international students.

Graduates of The University of Manchester and Manchester Metropolitan University can receive a 10% discount on their master's degree tuition fees as part of our Manchester Alumni Loyalty Discount scheme.

An MSc in Business Analytics and Artificial Intelligence’s dissertation is a piece of original scholarship work written under the direction of a supervisor. An MSc in Business Analytics and Artificial Intelligence’s dissertation provides students with the opportunity to develop a critical understanding of relevant literature and to apply the skills and knowledge gained from the overall MSc in Business Analytics and Artificial Intelligence programme to investigate a specific research problem/question. The dissertation process requires the students to review existing literature, identify a research problem/question, develop a conceptual framework for investigation and research hypotheses (propositions), apply appropriate quantitative research methods and rigorous analytical techniques, synthesise and evaluate the study findings, and design a clear statement of conclusions and recommendations.

An MSc in Business Analytics and Artificial Intelligence’s dissertation is a piece of original scholarship work written under the direction of a supervisor. An MSc in Business Analytics and AI dissertation provides students with the opportunity to develop a critical understanding of the relevant literature and to apply the skills and knowledge gained from the overall MSc in Business Analytics and AI programme to investigate a specific research problem/question. The dissertation process requires students to review existing literature, identify a research problem/question, develop an appropriate research design, apply quantitative or contemporary data analytics research methods and rigorous analytical techniques, synthesise and evaluate the study findings, and present a clear statement of conclusions and recommendations.

Introduction to the dissertation 
Problem framing and project scoping
How to conduct a comprehensive literature review
Research Design
Impact: practical and managerial impact
Presentation skills and writing skills
Research process for the business analytics problem.

Lectures= 10 hours
Supervision= 6 hours 
Independent study = 584 hours.
This course will consist of lectures, seminars/ workshops.
In the lectures, students learn various techniques required for their dissertation, such as conducting literature review, and formulating a research question.

During their independent learning time, students are expected to apply the data analytics methods learned in the programme to their project case, with feedback from their project supervisor.

Students are also expected to apply academic theories and approaches to their individual research during the independent learning time.

Critically evaluate and synthesize up-to-date literature to establish the theoretical framework and rationale for the research.

Develop a concrete research design to investigate the research problem.

Apply business analytics and AI approaches to the business problems.

Identify a research problem, formulate research questions and refine objectives related to the research under investigation.

Present complex arguments and ideas.

Organise, structure, and present an independent piece of scholarly research.

Select and apply appropriate quantitative and Contemporary research methodologies to design and conduct an independent piece of research.

Apply rigorous analytical techniques to analyse and synthesise the study findings.

Individual dissertation thesis 100%

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