Data Science and Analytics

Data Science and Analytics at Royal Holloway offers a comprehensive and rigorous curriculum designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data analysis. This program provides a unique combination of theoretical foundations and practical applications, ensuring graduates are prepared to address complex real-world problems across various industries. Throughout the course, students engage with a wide range of subjects, including statistics, machine learning, programming, data management, and ethical considerations in data handling. The programme emphasizes hands-on training through projects, lab sessions, and collaborations with industry partners, fostering a deep understanding of data-driven decision-making processes. Students will learn to manipulate large datasets, develop predictive models, and visualize data effectively to communicate insights clearly. The curriculum is designed to keep pace with technological advancements and industry standards, featuring modules on artificial intelligence, data mining, and big data analytics. Royal Holloway's renowned research environment and experienced faculty provide a stimulating academic atmosphere that encourages innovation and critical thinking. Graduates of this program are well-positioned to pursue careers in data science, analytics consulting, business intelligence, and related fields, or to undertake further research and postgraduate study. With a strong emphasis on ethical practices and responsible data use, the programme prepares students to become responsible practitioners in the data science community. The programme is suitable for students with backgrounds in mathematics, computer science, or related disciplines who are interested in developing advanced analytical skills and applying them to solve real-world problems.

Core modules

• Data Analysis
• Computation with
• Programming for Data Analysis
• Database Systems
• Large-scale Data Storage and Processing
• Individual Project

Optional modules

In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff.

Requirements

• Bachelor's Degree (Bakalavr). Students who have successfully completed a four year Bachelor's degree (Baklavar) in an appropriate subject with good grades/GPA and at a reputable university will be considered for entry to a Royal Holloway Master's degree programme. Exact requirements will depend upon the programme, but most departments will ask for a minimum final grade of either 3.5/5.0 (70%) or 4.0/5.0 (80%).
• Specialist Diploma. Students who have successfully completed a Specialist Diploma in an appropriate subject with good grades/GPA and at a reputable university will be considered for entry to a Royal Holloway Master's degree programme. Exact requirements will depend upon the programme, but most departments will ask for a minimum final grade of either 3.5/5.0 (70%) or 4.0/5.0 (80%). 
• IELTS 6.5 overall with 6.0 in writing and no subscore below 5.5
• You are required to register your one reference, even if you have uploaded a copy of their reference. You may be contacted to submit a 2nd reference if we need further information to assess your suitability for the programme you have applied for.
• Copies of the transcripts from your undergraduate degree (this can be a transcript of your progress so far if you have not yet completed it)
• Copies of any other qualifications you have taken that are relevant to your chosen course
• A supporting statement, explaining your motivation to study your chosen course
• One academic reference - you can either upload a copy (this is the quickest option) or your referee can enter them directly into the online system once you've completed the application

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Scholarships

• International Excellence Scholarships
• Global Education

The MSc in Data Science and Analytics at Royal Holloway, University of London, is a comprehensive postgraduate programme designed to equip students with advanced knowledge and practical skills in data science, machine learning, statistical analysis, and data management. The course program combines theoretical foundations with practical application, preparing graduates to tackle complex data challenges across various industries. Students are introduced to core concepts in data analysis, programming languages such as Python and R, and tools like SQL and Hadoop, enabling them to handle large, unstructured data sets efficiently. The curriculum emphasizes both the technical aspects of data handling and the development of critical thinking and problem-solving skills necessary for data-driven decision making. Additionally, students learn to communicate insights effectively through data visualisation and reporting, which are vital skills in business, healthcare, finance, and technology sectors. The programme often includes a research project or industry placement, providing practical experience and exposure to real-world data problems. Royal Holloway’s faculty comprises experts in data science, computer science, and statistics, offering students mentorship and support throughout their studies. The university’s central London location facilitates connections with technology companies and research institutions, offering opportunities for networking, internships, and collaborations. Upon completing the MSc, graduates are well-prepared for careers as data analysts, data scientists, machine learning engineers, and roles in business intelligence, research, and consultancy. The course also provides a foundation for students interested in pursuing doctoral research in data science or related fields. The MSc is designed to be accessible for students with backgrounds in computing, mathematics, statistics, or related disciplines, emphasizing interdisciplinary approaches to data analysis. Royal Holloway’s focus on research-led teaching ensures that students benefit from the latest developments and innovative methods in the rapidly evolving field of data science.