MSc Global Business Management
The MSc Global Business Management program at the University of Roehampton is designed ...
MSc Data Science
London
INTAKE: Jan & Sept
Program Overview
The MSc Data Science program at the University of Roehampton is a cutting-edge postgraduate degree designed to equip students with the skills and knowledge needed to excel in the field of data science, a discipline that is increasingly vital in today's data-driven world.
-
Comprehensive Curriculum: The program offers a comprehensive curriculum that covers a wide range of topics in data science, including data analysis, machine learning, data visualization, and data ethics. Students gain a deep understanding of both the theory and practical applications of data science.
-
Hands-on Learning: Practical experience is a core component of the program. Students engage in hands-on projects, working with real-world data sets to develop data-driven solutions to complex problems. This practical experience enhances their skills and prepares them for the demands of the industry.
-
Interdisciplinary Approach: Data science is inherently interdisciplinary, and this program reflects that. It draws from fields such as computer science, statistics, mathematics, and business to provide students with a holistic perspective on data analysis and interpretation.
-
Cutting-edge Technology: Students have access to state-of-the-art technology and software tools commonly used in the field of data science. This exposure allows them to become proficient in the tools and techniques used by industry professionals.
-
Research Opportunities: The university encourages research and innovation in data science. Students have the opportunity to engage in research projects and collaborate with faculty members on cutting-edge research in areas such as artificial intelligence and data analytics.
-
Industry Connections: The University of Roehampton maintains strong connections with industry partners, including tech companies, financial institutions, and healthcare organizations. This provides students with networking opportunities, internships, and potential employment prospects upon graduation.
-
Diverse Faculty: The program is taught by a diverse and experienced faculty with expertise in various aspects of data science. Their guidance and mentorship enhance the learning experience and help students achieve their academic and career goals.
Location
London
Score
IELTS 6.5
Tuition Fee
£ 16500
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 55 to 60% 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 6.0.
- TOEFL: A minimum overall score of 89, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
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 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 Roehampton offers various scholarships and financial support options to help students fund their education. While specific scholarships may vary from year to year.
- Vice-Chancellor's Scholarship: This is a merit-based scholarship that offers a partial fee waiver for undergraduate and postgraduate students who have demonstrated outstanding academic achievement.
- International Excellence Scholarships: These scholarships are available to international students and provide a partial fee waiver based on academic merit.
- Sports Scholarships: The University of Roehampton offers sports scholarships to talented athletes who can contribute to the university's sports teams.
- Alumni Scholarship: This scholarship is available to Roehampton graduates who wish to pursue postgraduate studies at the university. It provides a tuition fee reduction.
- Departmental Scholarships: Some academic departments at the University of Roehampton may offer scholarships or bursaries specific to their discipline. These scholarships are often based on academic achievement or other criteria determined by the department.
Graduates of the MSc Data Science program from the University of Roehampton are well-prepared for a wide range of career opportunities in the data science field.
-
Data Scientist: Graduates can pursue roles as data scientists, where they use their skills to analyze data, develop predictive models, and provide actionable insights to organizations across various industries.
-
Machine Learning Engineer: With a strong foundation in machine learning, graduates can work as machine learning engineers, building and implementing algorithms that power artificial intelligence systems.
-
Data Analyst: Data analysts focus on interpreting and visualizing data to help organizations make data-driven decisions. This role is crucial in sectors like finance, marketing, and healthcare.
-
Data Engineer: Data engineers design and maintain the data architecture and infrastructure needed for efficient data processing and storage, making data accessible for analysis.
-
Business Intelligence Analyst: Graduates can work as business intelligence analysts, helping companies optimize their operations and strategy through data analysis and reporting.
-
Data Consultant: Some graduates choose to work as data consultants, providing expert advice to organizations on data strategy, analytics, and data governance.
-
Academic Research: For those interested in academia, the program provides a strong foundation for pursuing further research or a Ph.D. in data science or related fields.
