MSc Management with Human Resource Management (Professional Practice)
The University of Huddersfield's MSc Management with Human Resource Management (Pro...
Queensgate - Huddersfield
INTAKE: Jan & Sept
The MSc Business Intelligence and Analytics (Professional Practice) program at the University of Huddersfield is designed to equip students with the skills and knowledge needed to excel in the field of data analysis and business intelligence. This program combines advanced analytics techniques with practical application in real-world business scenarios.
Data Analysis Techniques: Students learn various data analysis techniques, including data mining, predictive modeling, statistical analysis, and machine learning. They gain proficiency in using industry-standard tools and software for data manipulation and analysis.
Business Intelligence: The program focuses on developing students' understanding of business intelligence concepts and practices. They learn how to gather, analyze, and interpret data to drive strategic decision-making in organizations. They also explore data visualization techniques to effectively communicate insights to stakeholders.
Big Data Analytics: Students study the management and analysis of big data sets, exploring techniques for handling large volumes of structured and unstructured data. They gain skills in leveraging big data technologies and platforms to extract meaningful insights and support data-driven decision-making.
Data Governance and Ethics: The program emphasizes the importance of data governance and ethics. Students learn about data privacy, security, and legal considerations in handling and analyzing data. They develop an understanding of ethical frameworks and practices for responsible data usage.
Business Strategy and Performance Management: Students explore the strategic implications of data analysis and how it contributes to organizational performance management. They learn how to align data analytics initiatives with business goals and use data-driven insights to drive strategic decision-making.
Business Process Optimization: The program covers techniques for analyzing and optimizing business processes using data analytics. Students learn how to identify bottlenecks, streamline workflows, and improve operational efficiency through data-driven process improvements.
Data Visualization and Communication: Students gain skills in data visualization techniques and tools to effectively communicate complex data insights to non-technical stakeholders. They learn how to create visually appealing and informative dashboards and reports.
Queensgate - Huddersfield
IELTS 7
£ 16000
Postgraduate Entry Requirements:
Students must provide:
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 Huddersfield offers several scholarships and funding opportunities to support students in their academic journey. These scholarships are designed to recognize academic excellence, encourage diversity, and provide financial assistance to eligible students.
Graduates of the MSc Business Intelligence and Analytics (Professional Practice) program have excellent career prospects in various industries that rely on data-driven decision-making.
Data Analyst: Graduates can work as data analysts, responsible for collecting, analyzing, and interpreting data to uncover insights and support business decision-making. They work with stakeholders to understand data requirements and provide actionable recommendations based on data analysis.
Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, helping organizations harness data to gain competitive insights and make strategic decisions. They develop data models, create reports and dashboards, and provide data-driven recommendations to improve business performance.
Data Scientist: Graduates can work as data scientists, applying advanced analytics techniques to extract valuable insights from complex datasets. They use machine learning algorithms, statistical analysis, and data visualization tools to uncover patterns and trends that drive business growth and innovation.
Business Analyst: Graduates can work as business analysts, bridging the gap between business objectives and data analysis. They gather requirements, identify opportunities for process improvements, and use data analytics to support organizational change and decision-making.
Data Consultant: Graduates can work as data consultants, providing expertise and guidance to organizations on data strategy, analytics implementation, and data-driven decision-making. They help businesses leverage their data assets and develop strategies to gain a competitive advantage.
Data Manager: Graduates can pursue careers as data managers, responsible for overseeing the collection, storage, and analysis of data within an organization. They ensure data quality, manage databases, and implement data governance frameworks to ensure compliance with regulations and ethical standards.
Market Research Analyst: Graduates can work as market research analysts, collecting and analyzing market data to assess market trends, customer preferences, and competitive landscapes. They provide insights to support marketing strategies and product development initiatives.