12 monthsProgramme duration
24,952 GBPTuition Fee/year
Sep, JanStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc in Business Analytics and Consultancy provides you with a solid understanding of the theories and practices that underpin business analytics. You’ll gain an in-depth knowledge of Big Data and analytics and examine how these tools support managerial decision-making. You’ll also explore the principles of management consultancy and financial reporting, giving you a well-rounded understanding of the organisational context in which analytics is applied.
This programme is aimed at graduates or those already in the industry seeking to deepen their knowledge and skills in business analytics and consultancy, enabling you to make strategic, data-driven decisions that drive success in complex and fast-changing business environments.
Our close collaboration with an industry advisory board made up of business leaders ensures that our teaching remains aligned with current professional needs. This means you’ll graduate with the highly sought-after skills required across modern management roles, including business strategy, leadership, project and change management, quality management, and inventory planning.
Reasons to study this programme:
- Comprehensive, customisable curriculum: Provides opportunity to specialise in several areas through optional courses, including quality management, project management and system thinking.
- Expert faculty: Learning will be informed by expertise of our research-active academics whose work covers Employment, Work and the Professions, Logistics and Sustainability, Networks and Enterprise Excellence and Social and Economic Data Analysis.
- Supported learning: Delivered through a combination of lectures, case studies and computer lab-based sessions and be assessed by coursework, examinations and a dissertation while receiving support and feedback throughout the programme.
- Applied learning and industry relevance: Opportunity to apply analytical tools and techniques using real company data, helping development in confidence working with industry-relevant software and solving real business problems.
- Blend of skills: A curriculum based on a mix of mandatory and elective courses to develop skills that combine strong business acumen with advanced data analytical skills and the ability to communicate insights clearly and effectively.
- Professional accreditation: Accredited by the Institute of Analytics (IoA) and meets the highest global academic, professional and ethical standards set by the IoA, in conjunction with industry expectations which gives employers confidence in the quality of this programme and helps graduates gain a competitive edge in the data age.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our MSc in Business Analytics and Consultancy provides you with a solid understanding of the theories and practices that underpin business analytics. You’ll gain an in-depth knowledge of Big Data and analytics and examine how these tools support managerial decision-making. You’ll also explore the principles of management consultancy and financial reporting, giving you a well-rounded understanding of the organisational context in which analytics is applied.
This programme is aimed at graduates or those already in the industry seeking to deepen their knowledge and skills in business analytics and consultancy, enabling you to make strategic, data-driven decisions that drive success in complex and fast-changing business environments.
Our close collaboration with an industry advisory board made up of business leaders ensures that our teaching remains aligned with current professional needs. This means you’ll graduate with the highly sought-after skills required across modern management roles, including business strategy, leadership, project and change management, quality management, and inventory planning.
Reasons to study this programme:
- Comprehensive, customisable curriculum: Provides opportunity to specialise in several areas through optional courses, including quality management, project management and system thinking.
- Expert faculty: Learning will be informed by expertise of our research-active academics whose work covers Employment, Work and the Professions, Logistics and Sustainability, Networks and Enterprise Excellence and Social and Economic Data Analysis.
- Supported learning: Delivered through a combination of lectures, case studies and computer lab-based sessions and be assessed by coursework, examinations and a dissertation while receiving support and feedback throughout the programme.
- Applied learning and industry relevance: Opportunity to apply analytical tools and techniques using real company data, helping development in confidence working with industry-relevant software and solving real business problems.
- Blend of skills: A curriculum based on a mix of mandatory and elective courses to develop skills that combine strong business acumen with advanced data analytical skills and the ability to communicate insights clearly and effectively.
- Professional accreditation: Accredited by the Institute of Analytics (IoA) and meets the highest global academic, professional and ethical standards set by the IoA, in conjunction with industry expectations which gives employers confidence in the quality of this programme and helps graduates gain a competitive edge in the data age.
Admission Requirements
A minimum of honours degree at 2:2 or non-UK equivalent in a relevant subject. Whilst we can consider applicants from a wide range of academic backgrounds such as Logistics, Engineering, Business Admin/ Management, Journalism, we hope to see demonstrable evidence of numeracy. This can include algebra, statistics, calculus, Accountancy and Finance, or similar subjects that shows ability to manipulate numbers.
We welcome applications from international students and accept qualifications from around the world. Please refer to the entry requirements for your country for more details.
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