MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
MSc Data Analytics
Western Bank-The University of Sheffield
INTAKE: September
Program Overview
The MSc Data Analytics program at the University of Sheffield is designed to equip students with advanced knowledge and skills in data science, machine learning, statistical modelling, and data visualisation. The program is taught by experts in the field of data science, and provides students with practical experience through real-world case studies and projects.
Students will learn how to extract insights from complex data sets, develop algorithms for predictive modelling, and use data visualisation techniques to effectively communicate their findings. They will also gain experience in using programming languages such as Python and R, as well as working with databases and big data technologies.
The program is suitable for students with a background in mathematics, statistics, computer science, engineering, or a related discipline. It is ideal for those who are interested in pursuing a career in data science, data analytics, or business intelligence.
The program is offered on a full-time basis, and can be completed in one year. Students will undertake a dissertation project, which will allow them to apply their skills and knowledge to a real-world problem.
Location
Western Bank-The University of Sheffield
Score
6.5
Tuition Fee
£ 28700
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60%-70% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 88, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 19 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 56.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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.
