MSc Data Analytics and Human Resource Management

This online MSc in Data Analytics and HRM will provide you with valuable knowledge of how applied data can inform HR decisions that will benefit your business. Our flexible course offers the ability to work alongside your studies and will equip you with a solid understanding of the role of HRM, including how productivity in staff can be analysed in reward management.

Arden student takes silver in Tokyo Olympics

photo courtesy of Arden University

Course Overview

The modern workplace relies on data, and those with the skills to handle and interpret an organisation’s data are in high demand. This MSc Data Analytics & Human Resource Management dual degree combines your study of data analytics with the essential skills to oversee staff management.

Arden’s online programme delivery makes it easier to develop your data handling and HR management skills alongside your existing commitments and responsibilities. This programme will help you take your career to the next level, and immediately put your learning into practice in your workplace.

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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.

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.

HRM in Context:

Gain an overall appreciation of your organisations, and understand the different ethical and social challenges facing an organisation. You’ll take a look into market implications, gain the ability to analyse and evaluate how they impact an organisation and strategise people management from a professional perspective.

Managing the Human Resource:

Understand how HRM contributes to an organisation, and learn how the many different approaches to people management impact performance. You’ll develop an awareness of how the HR function contributes to an effective workplace, and how to implement motivation, development, and rewards into the strategy.

Reward Management:

Recognition for a job well done is a central motivation of individuals, whether financial or otherwise. You’ll consider government policies, equality, business direction and external factors, and by taking into account a range of economic theories, be able to identify effective reward strategies that support and encourage motivation.

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, choose between a conventional dissertation, or academic article and presentation, and then apply all of your knowledge from the programme, with the opportunity to link your research to your actual work needs.

There are many options available to you once you complete this course. Just a few of the roles you could progress to include:

• Senior Manager
• Data Manager
• Business Intelligence Analyst
• Human Resource Manager
• Pay and Reward Specialist
• Global HR Practitioner
• HR Analyst