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2023/24 Taught Postgraduate Programme Catalogue

MSc Data Analytics and Human Resource Management

Programme code:MSC-BS/DA&HRUCAS code:
Duration:12 Months Method of Attendance: Full Time
Programme manager:Danat Valizade, (Deputy): Manhal Ali Contact,

Total credits: 180

Entry requirements:

A bachelor degree with a 2:1 (hons) usually in a social science subject. Applicants with a degree in other subjects with a quantitative component will also be considered. Applicants from other degree backgrounds may be considered in exceptional circumstances.

School/Unit responsible for the parenting of students and programme:

Leeds University Business School

Examination board through which the programme will be considered:

Leeds University Business School

Relevant QAA Subject Benchmark Groups:

Benchmark statement for Masters degrees in Business and Management

Programme specification:

The amount of data available to analyse and understand how people contribute to the success of organisations has grown exponentially over the last decade due to the widespread use of HR information systems and enterprise resource planning software. A growing wave of start-ups are offering new machine learning and AI tools and techniques for understanding the role and people factors in organisational performance.
In this context, most large organisations have developed HR/people analytics/insight teams in the last five years, following in the wake of large global technology and financial services institutions who have pioneered the development of this new business function. The UK professional body for HR has also recently launched new professional standards that place evidence based management and analytics at the heart of the professional competencies expected of the HR professional.
Despite these developments, it is widely perceived that HR lags behind other areas of business in the adoption of analytics. This programme will equip students with the skills and knowledge to work in the HR analytics field or to become an HR generalist who is competent in the use of data and analytics.
The programme of study is informed by the latest research and developments in the fields of HR analytics and HRM more generally, drawing on strong links with employers to provide students with an academically rigorous but practice informed learning experience.
The programme aims to foster in graduates the capacity for reflective practice, and professional and personal development so that they are able to contribute effectively to the leadership and management of business, organisations and society.
It also provides graduates with advanced understanding of the social science theory and evidence that underpins HR and people analytics and HR management more generally, allowing students to meet the knowledge requirements for chartered membership of the Chartered Institute for Personnel and Development.

Year1 - View timetable

[Learning Outcomes, Transferable (Key) Skills, Assessment]

Candidates are eligible for the award if they pass the 150 credits of modules (including compulsory to pass modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules

Compulsory modules:

Candidates will be required to study the following compulsory modules:

LUBS5322MStrategic Human Resource Management30 creditsSemester 1 (Sep to Jan)
LUBS5342MPeople Analytics: Strategy and Practice30 creditsSemester 2 (Jan to Jun)
LUBS5346MData Analytics for Human Resources30 creditsSemesters 1 & 2 (Sep to Jun)
LUBS5348MHuman Resources Analytics Research Methods and Dissertation Project60 credits1 Feb to 30 Sep

Optional modules:

Candidates will be required to study 30 credits from the following optional modules

LUBS5301MSustainable Futures: Climate Change, the Environment and Business15 creditsSemester 2 (Jan to Jun)
LUBS5303MSustainable Futures: Climate Change, the Environment and Business30 creditsSemester 2 (Jan to Jun)
LUBS5325MEmployment Law30 creditsSemesters 1 & 2 (Sep to Jun)
LUBS5338MGlobal Perspectives on Work30 creditsSemester 2 (Jan to Jun)
LUBS5365MDiversity Management30 creditsSemester 2 (Jan to Jun)
LUBS5443MChange Management and Communication15 creditsSemester 2 (Jan to Jun)
LUBS5991MCreating Effective Data Visualisations15 creditsSemester 2 (Jan to Jun)
LUBS5995MDigital Technologies for a Sustainable Future15 creditsSemester 2 (Jan to Jun)

Last updated: 04/05/2023 16:40:53


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