MSc Data Analytics and Human Resource Management
- Distance Learning
- Distance Learning
- Online Learning
- Human Resources
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.
As well as exploring a range of specialist subjects in human resource management, you will delve into the processes behind mining information from large complex databases. You will learn how to approach data and how this data can be manipulated to result in strategic decisions. You will understand and consider the ways in which data is best communicated to others within the HR department. Developing the ability to create and manage HR plans, you will recognise the importance of data within the human resources environment.
- Data Design
- Data Handling and Decision Making
- Data Visualisation and Interpretation
- HRM in Context
- Managing the Human Resource
- Reward Management
- Research Project
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
Please be aware that this course will require you to handle numbers. We recommend that you have a minimum of GCSE standard maths to succeed. Please speak to our admissions team for more information.
If you don’t have academic qualifications
We are more than happy to consider, and positively encourage, an application from you if have substantial suitable work experience (typically 5 years senior level experience) and can show us that you have the motivation to study the programme. We’ll ask you for a personal statement that demonstrates your ability to study the course. We may also want references and evidence of relevant experiences.