Mres European Social Policy
The University of Bath offers a diverse range of programs across multiple disciplines, ...
Claverton Down
INTAKE: September
The University of Bath offers a comprehensive portfolio of programs spanning numerous academic disciplines, providing students with diverse opportunities to pursue their academic and career aspirations.
MSc Data Science with Placement Year: The MSc (Master of Science) in Data Science with Placement Year is a specialized program tailored for students passionate about the dynamic and data-driven field of data science. This program equips students with the knowledge and skills necessary to excel in various aspects of data science, from data analysis to machine learning.
Comprehensive Curriculum: The MSc Data Science program at the University of Bath is designed to provide students with a comprehensive understanding of data science concepts and practices. Students delve into subjects such as data mining, statistical analysis, machine learning, and data visualization, ensuring they are well-prepared for the multifaceted world of data science.
Interdisciplinary Learning: The university encourages interdisciplinary learning, allowing students to integrate insights from various fields, such as computer science, mathematics, and business, into their data science studies. This interdisciplinary approach fosters a holistic understanding of data-driven decision-making.
Real-World Applications: The university maintains strong connections with industry partners, facilitating opportunities for internships, industry projects, and networking with professionals in the data science sector. These collaborations ensure that students gain practical experience and industry insights during their studies.
Placement Year: One of the program's unique features is the placement year, where students have the opportunity to work in industry, applying their data science skills in real-world settings. This valuable experience enhances students' employability and provides insights into career paths within the data science field.
Claverton Down
IELTS 6.5
£ 28700
Postgraduate Entry Requirements:
1. Academic Qualifications: To be eligible for postgraduate study at the University of Bath, applicants should hold a Bachelor's degree with a final overall result of 2:1 or above. This requirement is equivalent to a minimum of 55% in the international grading system. Applicants with lower qualifications may be considered on a case-by-case basis.
2. English Language Proficiency:
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 to a specific program. Some courses may have additional requirements, such as a portfolio or an interview, and competition for certain programs may be high.
The University of Bath, UK, offers a range of scholarships and financial support options to international students. These scholarships are designed to help make education more accessible and affordable for students pursuing their studies at the university.
Graduates of the University of Bath's MSc Data Science program, especially with a placement year, are well-prepared for diverse and rewarding career paths within the field of data science and related sectors. The program equips students with advanced analytical, programming, and data manipulation skills, making them valuable assets to employers in various industries.
Data Scientist: Graduates may work as data scientists, extracting insights from data, developing predictive models, and contributing to data-driven decision-making in organizations.
Machine Learning Engineer: Opportunities exist for graduates to specialize in machine learning, designing and implementing machine learning algorithms for applications such as recommendation systems, image recognition, and natural language processing.
Data Analyst: Graduates can pursue roles as data analysts, responsible for data cleaning, visualization, and statistical analysis to extract insights and inform business decisions.
Business Intelligence Analyst: Those interested in business intelligence can focus on data visualization and reporting, helping organizations make data-driven strategic decisions.
Big Data Engineer: Graduates may choose to work with big data technologies, managing and processing large datasets for analytics and insights.
Consulting: Graduates may enter data science consulting, advising businesses on data strategy, analytics tools, and optimization.
Academia and Research: Some may opt for Ph.D. studies and pursue academic careers as data science researchers and educators.