MSc International Hospitality and Tourism Management
The MSc International Hospitality and Tourism Management program at Northumbria Univers...
Northumbria - City Campus
INTAKE: September
The MSc Business Analytics program at Northumbria University is designed to equip students with the skills and knowledge necessary to analyze complex business data and generate valuable insights for informed decision-making. The program integrates theoretical concepts with practical applications, providing students with a comprehensive understanding of data analytics techniques, tools, and strategies in a business context.
Data Analysis and Visualization: The program focuses on developing students' proficiency in data analysis and visualization techniques. Students learn how to gather, clean, and preprocess data for analysis. They gain hands-on experience with various analytical tools and software, and learn how to effectively present data insights using visualization techniques.
Statistical Analysis and Predictive Modeling: The program covers statistical analysis methods and predictive modeling techniques commonly used in business analytics. Students learn how to apply statistical models, hypothesis testing, and regression analysis to extract meaningful insights from data. They also gain skills in building predictive models to forecast trends and make data-driven predictions.
Machine Learning and Artificial Intelligence: The program introduces students to the principles of machine learning and artificial intelligence in the context of business analytics. Students learn how to leverage machine learning algorithms to uncover patterns, classify data, and automate decision-making processes. They explore topics such as supervised and unsupervised learning, neural networks, and natural language processing.
Big Data Analytics: The program addresses the challenges and opportunities presented by big data. Students learn how to handle large volumes of data, apply advanced analytics techniques, and extract actionable insights. They gain knowledge of data storage and retrieval methods, distributed computing, and data mining in the context of big data analytics.
Business Intelligence and Strategy: The program emphasizes the integration of business intelligence with strategic decision-making. Students learn how to align data analytics with organizational goals and strategies. They explore techniques for identifying business opportunities, optimizing operations, and gaining a competitive advantage through data-driven insights.
Ethical and Legal Considerations: The program highlights the ethical and legal aspects of business analytics. Students gain an understanding of privacy regulations, data protection, and ethical considerations when handling sensitive data. They learn how to ensure data integrity, maintain confidentiality, and comply with industry standards and regulations.
Northumbria - City Campus
IELTS 6.5
£ 19000
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.Some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Northumbria University is dedicated towards providing support and opportunities for international students to pursue their education. The university offers a range of scholarships specifically designed to assist international students with their tuition fees and living expenses. These scholarships recognize academic excellence, leadership potential, and contribution to the community.
Graduates of the MSc Business Analytics program at Northumbria University have excellent career prospects in various industries.
Data Analyst: Graduates can work as data analysts, responsible for collecting, analyzing, and interpreting data to support decision-making processes within organizations.
Business Intelligence Specialist: Graduates can pursue roles as business intelligence specialists, using data analytics techniques to provide valuable insights and recommendations for strategic planning and performance improvement.
Data Scientist: Graduates can work as data scientists, applying advanced analytics and machine learning techniques to extract insights, build predictive models, and solve complex business problems.
Analytics Consultant: Graduates can become analytics consultants, advising organizations on data-driven strategies, identifying opportunities for improvement, and implementing analytics solutions.
Market Research Analyst: Graduates can work as market research analysts, utilizing data analytics to gather and interpret market data, assess consumer behavior, and support marketing strategies.
Operations Analyst: Graduates can pursue careers as operations analysts, using data analytics to optimize operational processes, improve efficiency, and reduce costs within organizations.