MBA Master of Business Administration
The MBA program at the University of Leeds is designed to develop well-rounded business...
MSc Data Analytics and Human Resource Management
Leeds
INTAKE: September
Program Overview
The MSc in Data Analytics and HRM provides a strong foundation in both data science and HRM. It aims to prepare students for leadership roles in HR and data analytics by integrating the use of cutting-edge technology and data-driven methods in managing people and organizations. The program is ideal for students who aspire to become experts in using data analytics to inform human resource strategies, improve organizational performance, and drive data-led decision-making.
Curriculum: The curriculum covers a wide range of topics, starting with the fundamentals of human resource management and the essential concepts of data analytics. Modules focus on areas such as people analytics, strategic HRM, data visualization, statistical analysis, and machine learning techniques for HR purposes. Students gain proficiency in using HR-specific software and tools, which are crucial for making informed decisions about recruitment, employee retention, performance management, and workforce planning.
Research Focus: The research focus of this program lies at the intersection of data science and HRM, exploring how data analytics can improve HR practices and contribute to better decision-making within organizations. Students are encouraged to engage with contemporary research in HR, data science, and organizational development. The program integrates practical projects, allowing students to investigate real-world HR challenges using data-driven approaches. They learn how to interpret data, predict trends, and utilize advanced analytics to optimize HR strategies.
Industry Engagement: The University of Leeds has strong industry connections, providing students with opportunities for hands-on experience through internships, industry projects, and collaborations with leading HR professionals and data analytics firms. These engagements give students valuable insights into how HR departments across various sectors are adopting data analytics to drive organizational success. The program also emphasizes the importance of staying current with trends in HR technology and data analytics tools, ensuring that graduates are equipped with the skills demanded by modern employers.
Global Perspective: Given the globalized nature of business, the MSc in Data Analytics and HRM offers students a global perspective on the challenges faced by organizations in managing human capital. The program draws on case studies, research, and examples from diverse industries worldwide, enabling students to develop a broader understanding of HRM in different cultural and regulatory contexts. Students from around the world contribute to a diverse classroom, enriching the learning experience with varied perspectives on HR practices and data analytics.
Location
Leeds
Score
IELTS 6.5
Tuition Fee
£ 32250
Postgraduate Entry Requirements:
- Academic Qualifications: International students applying for postgraduate programs at the University of Leeds are generally required to have a minimum academic achievement of 55% or above in their previous studies. This requirement may vary depending on the course and country of origin.
- English Language Proficiency: Similar to undergraduate programs, international students applying for postgraduate programs must demonstrate their English language proficiency. The required English language test scores are as follows:
- IELTS: A minimum overall score of 6.5 with no individual component score below 6.0.
- TOEFL: A minimum overall score of 88, with no individual component score below 19.
- PTE: A minimum overall score of 64, depending on the course, with no individual component score below 60.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Leeds offers a range of scholarships and funding opportunities to support students in their academic pursuits. These scholarships are awarded based on various criteria such as academic excellence, financial need, and specific areas of study.
Dean's Business School Scholarship: This scholarship is specifically for undergraduate students applying to the Leeds University Business School. It offers a cash award of up to £2,000 per year of study, based on academic achievement and potential.
Leeds Masters Scholarships: These scholarships are available for UK/EU and international students pursuing a master's degree at the University of Leeds. The scholarships cover partial tuition fees and are awarded based on academic excellence.
Research Scholarships: The University of Leeds also offers research scholarships for students pursuing a Ph.D. or research-based master's program. These scholarships provide funding for tuition fees and living expenses.
Graduates of the MSc Data Analytics and Human Resource Management program from the University of Leeds possess a unique skill set that opens doors to various exciting career opportunities.
HR Data Analyst: Graduates can work as data analysts in HR departments, analyzing workforce data to identify trends, improve employee engagement, and enhance HR strategies.
HR Analytics Manager: With experience, graduates can advance to managerial roles, overseeing HR analytics teams and driving data-driven decision-making within organizations.
Talent Acquisition Specialist: Graduates can specialize in talent acquisition, using data analytics to identify top candidates and optimize recruitment processes.
Workforce Planning Strategist: Graduates can contribute to strategic workforce planning, aligning human resources with organizational goals using data insights.
HR Consultant: Graduates can provide consultancy services to organizations, offering expertise in using data analytics to enhance HR operations and strategies.
HR Technology Manager: Graduates can work with HR technology solutions providers, assisting in the development and implementation of data-driven HR software and tools.
