MSc Accounting & Finance
Sheffield Hallam University, located in the vibrant city of Sheffield in the United Kin...
Sheffield Hallam - City Campus
INTAKE: Jan & Sept
The MSc in Big Data Analytics with Placement at Sheffield Hallam University is a comprehensive and forward-looking program that covers a wide range of topics related to big data analytics.
Foundations of Big Data: Students start by building a strong foundation in big data concepts, including data collection, storage, and processing.
Data Analysis Techniques: The program covers various data analysis techniques, such as data mining, machine learning, and statistical analysis, to extract meaningful insights from large datasets.
Data Visualization: Students learn the art of data visualization to communicate complex data findings effectively.
Programming and Tools: The program includes hands-on training in programming languages and tools commonly used in big data analytics, such as Python, R, Hadoop, and Spark.
Database Management: Students gain expertise in managing and querying large-scale databases, which are crucial for storing and retrieving big data.
Ethics and Privacy: The program emphasizes the ethical considerations surrounding big data, including data privacy and security.
Business Intelligence: Students explore how big data analytics can drive business decisions and strategy, making graduates valuable assets in the corporate world.
Applied Projects: Many programs include practical projects where students work on real-world big data challenges, allowing them to apply their skills in a professional context.
Placement/Internship: A significant feature of this program is the placement or internship component, providing students with the opportunity to gain hands-on experience in the field of big data analytics with organizations and businesses.
Research and Innovation: Sheffield Hallam University encourages students to engage in research and innovation, contributing to advancements in big data analytics.
Sheffield Hallam - City Campus
IELTS 6.5
£ 16385
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at Sheffield Hallam University are typically required to have a minimum academic achievement of 60% or above in their undergraduate degree or equivalent qualifications.
English language proficiency:English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
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.
Sheffield Hallam University offers a range of scholarships to international students to support their academic journey and recognize their achievements. These scholarships are designed to provide financial assistance and enhance the overall student experience.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.
Graduates of the MSc in Big Data Analytics with Placement at Sheffield Hallam University are well-equipped to pursue exciting career opportunities in various sectors.
Data Analyst: Graduates can work as data analysts, helping organizations make data-driven decisions and providing insights from large datasets.
Data Scientist: Data scientists build and implement complex algorithms to analyze data and develop predictive models, contributing to business success.
Business Intelligence Analyst: These professionals focus on transforming data into actionable insights for businesses, enabling informed decision-making.
Machine Learning Engineer: Graduates can work on creating and maintaining machine learning models and systems that automate data analysis.
Data Engineer: Data engineers design, build, and maintain the data architecture that allows for efficient data processing and analysis.
Big Data Consultant: Consultants work with organizations to develop big data strategies and solutions tailored to their specific needs.
Researcher: Graduates interested in research can pursue roles in academia, government, or private research institutions, contributing to advancements in big data analytics.
Business Analyst: Business analysts use data to identify business trends and opportunities, assisting organizations in achieving their objectives.
Database Administrator: These professionals manage and maintain databases, ensuring data integrity and availability.
Data Privacy and Security Specialist: Graduates can specialize in data privacy and security, helping organizations protect sensitive information.