MSc Accounting and Finance
The MSc Accounting and Finance program at Oxford Brookes University is a prestigious an...
Oxford - UK
INTAKE: September
The MSc Data Analytics program at Oxford Brookes University is designed to equip students with the knowledge and skills to analyze and interpret large and complex datasets, and make data-driven decisions in various industries. This program provides a comprehensive understanding of data analytics techniques, tools, and methodologies, enabling students to harness the power of data for business intelligence and innovation.
Data Analysis Techniques: The program covers a range of data analysis techniques, including statistical analysis, data mining, machine learning, and predictive modeling. Students learn how to collect, clean, and analyze data to uncover patterns, trends, and insights that drive informed decision-making.
Programming and Data Manipulation: The program emphasizes the importance of programming skills in data analytics. Students learn programming languages such as Python and R, and gain hands-on experience in data manipulation, data visualization, and exploratory data analysis.
Big Data and Data Management: The program addresses the challenges and opportunities associated with big data. Students learn about data storage, retrieval, and management techniques, and explore technologies such as Hadoop and SQL for handling large-scale datasets.
Data Visualization and Communication: The program focuses on the effective visualization and communication of data insights. Students learn how to create meaningful visualizations, dashboards, and reports to present complex data in a clear and compelling manner.
Ethical and Legal Considerations: The program highlights the ethical and legal aspects of data analytics. Students study topics such as data privacy, data security, and ethical considerations in data collection, analysis, and interpretation.
Industry-Relevant Projects: The program includes industry-focused projects and case studies, providing students with opportunities to apply their knowledge and skills to real-world data analytics challenges. Students work on projects in collaboration with industry partners, gaining practical experience and building their professional networks.
Oxford - UK
IELTS 6.5
£ 17200
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.
Oxford Brookes University offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence, encourage diversity, and provide financial assistance to deserving students.
Oxford Brookes University offers a range of scholarships to support students financially and recognize their achievements. From international scholarships to subject-specific and sports scholarships, the university strives to ensure that talented and deserving students have access to higher education. These scholarships contribute to fostering diversity, promoting academic excellence, and providing opportunities for students to pursue their educational goals at Oxford Brookes University.
Graduates of the MSc Data Analytics program have excellent career prospects in the rapidly growing field of data analytics.
Data Analyst: Graduates can work as data analysts, analyzing and interpreting data to uncover insights and support decision-making processes. They collect and analyze data, build statistical models, and present findings to stakeholders.
Data Scientist: Graduates can pursue careers as data scientists, using advanced analytics techniques to extract actionable insights from complex datasets. They develop predictive models, implement machine learning algorithms, and provide strategic recommendations based on data analysis.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, leveraging data to improve business performance and drive strategic initiatives. They analyze market trends, customer behavior, and operational data to identify opportunities for growth and optimization.
Data Engineer: Graduates can specialize in data engineering, focusing on data infrastructure and data pipeline development. They design and implement data storage systems, ensure data quality and integrity, and optimize data processing for efficient analytics.
Data Consultant: Graduates can work as data consultants, providing expertise and guidance to organizations seeking to leverage data analytics for competitive advantage. They assess data needs, develop analytics strategies, and assist in the implementation of data-driven solutions.
Data Manager: Graduates can pursue careers as data managers, responsible for overseeing data governance, data quality, and data integration initiatives within organizations. They ensure data compliance, establish data management processes, and support data-driven decision-making.
Research and Academia: Graduates can choose to pursue research opportunities or academic careers, contributing to the advancement of data analytics theories and methodologies. They can work in universities, research institutions, or data-focused think tanks.