MBA Master of Business Administration
The MBA program at the University of Sheffield offers a comprehensive curriculum design...
MSc Data Science
Western Bank
INTAKE: September
Program Overview
The MSc in Data Science at the University of Sheffield offers an interdisciplinary curriculum that combines mathematics, computer science, and domain-specific knowledge to enable students to tackle real-world data challenges. Students will develop proficiency in data analysis, machine learning, data visualization, and statistical modeling, as well as gain expertise in using cutting-edge tools and software to process and analyze large datasets. The program emphasizes practical learning, with opportunities for students to work on industry-relevant projects, collaborate with researchers, and gain experience through data-focused case studies. This comprehensive approach ensures that students graduate with the skills needed to excel in the rapidly evolving field of data science.
Curriculum: The curriculum for the MSc Data Science is designed to provide both a strong theoretical foundation and hands-on experience in the application of data science methods. Core modules include topics such as Data Programming, Machine Learning, Statistical Inference, Data Visualization, and Big Data Analytics. These modules introduce students to essential tools and techniques for analyzing large datasets, building predictive models, and visualizing complex data. Optional modules provide students with the opportunity to specialize in areas such as Natural Language Processing, Data Ethics, and Data Mining, allowing them to tailor their studies to their specific interests. The program also includes a substantial research project or dissertation, where students apply their knowledge to a real-world data science problem, often in collaboration with industry partners.
Research Focus: The research focus of the MSc in Data Science at the University of Sheffield revolves around solving complex problems in data analysis and machine learning. The university’s Department of Computer Science is renowned for its research excellence in areas such as artificial intelligence, machine learning, and data analytics. Students have the opportunity to engage with research that explores cutting-edge topics like deep learning, reinforcement learning, and data privacy. Collaborative research projects with industry and academic partners ensure that students are exposed to the latest innovations in the field. By working alongside leading researchers, students can contribute to advancing data science techniques and technologies while honing their skills in solving real-world data problems.
Industry Engagement: The MSc Data Science program at the University of Sheffield has strong ties with the data science and technology industries, providing students with numerous opportunities for industry engagement. Students are encouraged to work on data-driven projects in collaboration with companies, gaining practical experience and networking with professionals in the field. The program also includes guest lectures, workshops, and seminars hosted by industry leaders, offering students valuable insights into current trends and challenges in data science. The university’s connections with major companies and research organizations enable students to undertake internships and placements, further enhancing their employability. Additionally, students have access to the latest software, tools, and computing resources, ensuring they are well-equipped to tackle the challenges of modern data science.
Global Perspective: The MSc Data Science program at the University of Sheffield incorporates a global perspective by addressing the widespread impact of data science in various industries around the world. Students are encouraged to explore international data science trends, such as the use of machine learning in healthcare, the development of AI algorithms for global challenges, and the ethical implications of data use in different cultural contexts. The program’s international outlook is further enhanced by the university’s global network of research collaborations, allowing students to engage with data science professionals and researchers from across the globe. This international exposure ensures that graduates are well-prepared to work in a globalized data-driven world, contributing to data science advancements on a global scale.
Location
Western Bank
Score
IELTS 6.5
Tuition Fee
£ 29700
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.
Graduates of the MSc Data Science program from the University of Sheffield are in high demand in various sectors due to the increasing reliance on data-driven decision-making.
Data Analyst: Graduates may work as data analysts, interpreting and analyzing data to provide valuable insights to businesses and organizations.
Machine Learning Engineer: Some graduates may pursue careers as machine learning engineers, developing algorithms and models to make predictions and automate processes.
Data Scientist: Data science graduates can work as data scientists, leveraging their skills in statistics and programming to solve complex problems and make data-driven decisions.
Business Intelligence Analyst: Graduates may work in business intelligence, using data to inform strategic planning and optimize business operations.
Research Scientist: Some graduates may choose to pursue research positions, contributing to the advancement of data science through academic or industrial research projects.
