MBA Master of Business Administration
The MBA program at the University of Sheffield offers a comprehensive curriculum design...
Western Bank-The University of Sheffield
INTAKE: September
The MSc Data Analytics program focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills required to carry out practical analysis of large datasets, including both structured and unstructured data. The course incorporates techniques from various disciplines, such as computer science, artificial intelligence, mathematics, and statistics.
Curriculum: The curriculum offers a comprehensive suite of modules that encompass essential aspects of data analytics. Students engage in courses such as Scalable Machine Learning, Text Processing, Machine Learning and Adaptive Intelligence, Natural Language Processing, Statistical Data Science in R, and undertake a Data Analytics Dissertation Project. This structure ensures a robust theoretical foundation coupled with practical application, preparing graduates to tackle real-world data challenges effectively.
Research Focus: The program emphasizes a research-oriented approach, encouraging students to delve into advanced data analytics topics. The dissertation project serves as a pivotal component, enabling students to explore specific areas of interest within data analytics, thereby contributing original insights to the field. This focus on research fosters critical thinking and problem-solving skills, essential for addressing complex data-driven issues.
Industry Engagement: The University of Sheffield maintains strong ties with various industries, providing students with opportunities to apply their learning in practical settings. These collaborations often result in internships, industry projects, and networking events, enhancing students' practical experience and employability. Such engagements ensure that the curriculum remains aligned with current industry needs and technological advancements.
Global Perspective: Recognizing the global nature of data analytics, the program incorporates a worldwide outlook, preparing students to operate in diverse cultural and professional contexts. The university's international collaborations and exchange programs offer students exposure to global data challenges and practices, enriching their educational experience and broadening their career prospects.
Western Bank-The University of Sheffield
6.5
£ 28700
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.
Postgraduate students may be eligible for the following scholarships:
Postgraduate Taught Merit Scholarship: This scholarship is available to UK, EU, and international students who have a conditional or unconditional offer to study a full-time or part-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
International Merit Postgraduate Taught Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
Commonwealth Shared Scholarship Scheme: This scholarship is available to students from eligible developing Commonwealth countries who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship covers the full tuition fee, airfare to and from the UK, and a monthly stipend.
The MSc Data Analytics programme at the University of Sheffield aims to equip graduates with the skills and knowledge to pursue a range of careers in the field of data analytics. Some potential career paths for graduates include:
Data Analyst: A data analyst is responsible for analyzing large datasets to identify trends, patterns, and insights. They use statistical and data mining techniques to extract meaningful information from data and communicate their findings to stakeholders.
Data Scientist: Data scientists are experts in using scientific methods, algorithms, and systems to extract insights and knowledge from data. They work on complex projects, often involving big data, and have expertise in machine learning, data visualization, and predictive modeling.
Business Intelligence Analyst: A business intelligence analyst is responsible for analyzing data to help businesses make informed decisions. They use data visualization tools to create reports and dashboards that help stakeholders understand trends and patterns in their data.
Data Engineer: Data engineers design, build, and maintain the systems and infrastructure that enable organizations to process and store large amounts of data. They work with big data technologies like Hadoop, Spark, and NoSQL databases.
Database Administrator: A database administrator is responsible for ensuring the performance, security, and availability of an organization's databases. They manage the design, implementation, and maintenance of databases and ensure that they meet the needs of the organization.
Graduates of the MSc Data Analytics programme at the University of Sheffield have gone on to pursue careers in a range of industries, including finance, healthcare, and technology. They have found employment with organizations such as IBM, Amazon, and Deloitte.