MSc Operations Management and Data Analytics

Our specialised data analytics and operations management course will prepare you for the next step by helping you focus on refining the skills and knowledge that matter to businesses right now. You’ll cover topics such as data handling, risk management, and supply chains, as well as having the opportunity to complete your own original research project on an area of operations management that’s relevant to your role.

Course details

Prove you’re ready to take your career to the next level with our MSc Data Analytics and Operations Management degree. As a specialist masters course, this degree is the ideal choice if you’re already working in industry or have previous experience in operations management and want the opportunity to expand and enhance your knowledge.
  • Mode of study: online
  • Intake: Intakes: September, January, April
  • Course length: 1 year
  • Course fee: 9500 per year

Arden University London

Course overview

Whether you’re already leading in your organisation in an operations role, or want to take on a higher management position in your current organisation, this course has been designed to help you achieve your professional ambitions.


Entry requirements

To be eligible for this Data Analytics and Operations Management Master’s Degree course at Arden University you must normally have:

  • A UK Honours Degree at a minimum of second class (2.2) or equivalent


Here’s a snapshot of just some of the roles you could progress to:

  • Senior Data Analyst
  • Statistician
  • Data Manager
  • Operations Manager
  • Director
  • Supply Chain Manager
  • Production Manager
  • Business Intelligence Expert


On this course you’ll master data analysis and develop a deeper knowledge of operations, giving you the skills and knowledge needed to demonstrate your management flair. What’s more, you’ll develop your broader business skills through teamwork, presentations, and projects based on real-world scenarios.
  • Data Design
  • Data Handling and Decision Making
  • Data Visualisation and Interpretation
  • Ops and Supply Chain Management
  • Risk Management and Innovation
  • Quality Management
  • Research Project