MSc Operations Management and Data Analytics Arden University

Course overview

This professional postgraduate course will give you the range of skills and knowledge to prepare you for roles in operations management, learning core topics of innovation, risk and quality. Delivered 100% online, our MSc programme with data analytics will make you stand out from the crowd, giving you the edge to progress in your career with the valuable and sought-after skill to utilise data effectively to make strategic business decisions.

Arden student takes silver in Tokyo Olympics

photo courtesy of Arden University

Course Modules:

Data Design
Understand how to approach data by addressing key questions about your intended business outcomes, and select the most appropriate data collection method. You will learn to design deployment approaches and implement instruments and systems for data collection to achieve valuable outcomes.

Data Handling and Decision-Making
With access to more data than ever, those equipped to handle and interpret this data can add real value to the workplace. The focus of this module is learning how to both interpret data, and make key business decisions shaping the future of an organisation.

Data Visualisation and Interpretation
Gain the crucial data skills that give businesses their significant competitive advantage by learning to present this data in a universally engaging manner, which can be understood by specialists and non-specialists alike.

Operations and Supply Chain Management
The importance of operations management grows with customer demands, resource scarcity, and sustainability concerns. Learn how to ensure inputs become outputs that meet your performance objectives, and evaluate how this impacts the ability to deliver on these objectives through the case studies and interactive tasks assigned in this module.

Risk Management and Innovation
This module will equip you with a grounding in two topics that go hand in hand – risk management and innovation theory. Applying in practice within the engineering environment, you will learn to evaluate the relationship between risk, and the ways to leverage it to facilitate innovation. You will tackle the implications this has on organisational culture, and use practical scenarios to investigate the varied impacts on business practices.

Quality Management
This module will encourage your understanding of quality product delivery with key theories. You’ll appreciate quality in both tangible and intangible products, and this module will allow you to promote this philosophy in your current or future role. Your introduction to quality management will include the tools and systems to measure quality in a working situation, and you will put ideas into practice against specific business needs.

Research Project:
This vital project gives you a chance to research an area of your choice, related to the programme theme, and develop your critical abilities. You’ll create a research proposal and choose between a conventional dissertation, or an academic article and presentation. Then you’ll apply all of your knowledge from the programme with the opportunity to link your research to your actual work needs.

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Eligibility requirements

To be eligible for this course you must normally have:

• A UK honours degree at a minimum of second class (2.2) or equivalent.
• For students whose prior learning was not taught in English: IELTS 6.5 or equivalent (no less than 6.0 in any element).

What if I don’t have academic qualifications?

We positively encourage and consider applications from those with substantial management experience (typically 5 years) able to demonstrate their motivation to study the programme. We will ask for your CV and references in support of your application.

Graduates of our MSc Operations Management and Data Analytics course will have the potential to go on to a variety of senior roles within national and international organisations. The flexibility of the operational and data skills you’ll gain on this course mean your options are open:

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