MSc Accounting and financial Management
The MSc Accounting and Financial Management course at Royal Holloway University of Lond...
Egham
INTAKE: Jan & Sept
The MSc Data Science and Analytics program at Royal Holloway University provides a comprehensive and interdisciplinary approach to understanding data analytics.
Holistic Curriculum: The program covers a broad spectrum of topics, including statistical analysis, machine learning, data mining, programming, and data visualization.
Hands-on Learning: Students gain practical experience by working on real-world projects, collaborating with industry partners, and using cutting-edge tools and technologies.
Customizable Pathways: The program offers diverse pathways, allowing students to focus on their specific interests, such as business analytics, computational statistics, or machine learning.
Expert Faculty: Students learn from experienced faculty members who are experts in data science and its applications across industries.
Interdisciplinary Approach: With cross-disciplinary modules, students acquire a holistic perspective, integrating concepts from mathematics, computer science, and domain-specific knowledge.
Capstone Project: The program culminates in a substantial research project, giving students the chance to apply their skills to a real-world problem.
Egham
IELTS 6.5
£ 26200
Postgraduate Entry Requirements:
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.
Royal Holloway, University of London offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence and provide financial assistance to eligible students.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of the MSc Data Science and Analytics program are in high demand across a range of sectors due to their unique skill set.
Data Analyst: Graduates can work as data analysts, transforming raw data into actionable insights for businesses to make informed decisions.
Machine Learning Engineer: With expertise in machine learning algorithms, graduates can contribute to developing innovative AI solutions.
Business Intelligence Analyst: Graduates can assist companies in understanding market trends and customer behaviors, driving strategic planning.
Data Scientist: As data scientists, graduates solve complex problems using data-driven approaches and develop predictive models.
Consultant: Graduates can work as data consultants, offering their expertise to businesses seeking to optimize their operations.
Researcher: Graduates can pursue research positions in academia or industry, advancing the field's understanding of data science.
Healthcare Analyst: Graduates can work in healthcare, analyzing patient data to improve diagnoses and treatment plans.