Level
Master'sDuration
2 years part-time.Language
English
MSc Data Science
Master's (Postgraduate)
2 years part-time.
Advance your career with essential data science skills for the future
Elevate your career potential with the University of Roehampton's MSc Data Science – a programme tailored for the innovators of tomorrow. Immerse yourself in a comprehensive curriculum designed to equip you with cutting-edge analytical skills and actionable industry insights.
Enhance your analytical skills with advanced data analytics
You’ll start by building a solid foundation in data analytics, focusing on essential techniques and methodologies for effective data interpretation. This section enables you to refine your ability to analyse and interpret data, providing the groundwork for tackling complex data-driven challenges in various professional settings.
Explore real-world applications of machine learning
Progressing from foundational analytics, you’ll delve into machine learning algorithms and their practical applications. Engage with real-world case studies as you design and implement machine learning models that identify patterns and predictions, equipping you with the hands-on skills crucial for tackling industry-specific challenges.
Develop ethical data solutions across interdisciplinary fields
Next, you’ll learn to construct responsible data solutions, integrating a comprehensive understanding of ethical considerations.
This approach ensures you’re prepared to apply data science techniques across various domains, with a keen awareness of societal impacts.
In wrapping up this intensive programme, you’ll consolidate your skills through a hands-on capstone project, applying theoretical knowledge to practical scenarios. This knowledge culminates in a robust foundation that prepares you to lead in the dynamic and constantly evolving field of data science, poised with the tools to make meaningful contributions.
Grow online with industry experts at the University of Roehampton
Roehampton’s Online MSc Web Development programme is designed for the everyday working professional. No matter where you are in the world, you’ll progress your studies – and career – with flexible online learning options that fit seamlessly into your busy schedule.
What can you do with an MSc in Data Science?
With your sought-after data science expertise, your career prospects will expand into diverse industries, empowering you to drive data-driven decision-making and innovation in a variety of roles, such as:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
Quantitative Analyst
Is this a part-time or full-time degree?
This online degree consists of six modules and one final dissertation that can be completed in two years, part-time.
Higher education requirements:
To be eligible for this online degree, you should hold a second-class honours degree from a recognised university, preferably of a STEM background. However, the University of Roehampton encourages non-graduates with appropriate professional qualifications and those with third-class honours degrees to apply.
English language requirements:
This programme is delivered in English. Non-native English speakers must demonstrate a minimum standard of English language proficiency through a valid English language qualification no older than two years from the issue date. Accepted language tests and scores for postgraduate degrees include:
- IELTS Academic – 6.5 overall
- Roehampton’s English Language Test – 6.5 overall
- Kaplan Test of English – 478-509 overall
- TOEFL IBT – 89 overall
- PTE Academic – 59 overall
- Cambridge – 176 overall
What will it cost?
The total tuition fees are:
- £9,000 for UK residents
- £7,000 for Non-UK residents
Cultivate essential skills in examining diverse datasets, utilising programming algorithms and descriptive statistics to draw meaningful conclusions.
Develop expertise in applying machine learning techniques, including decision trees and neural networks, to solve complex problems and evaluate system performance.
Acquire the mathematical skills necessary for data science, focusing on statistics, probabilities, and linear algebra to formulate and analyse data-driven solutions.
Investigate real-life applications of deep learning, gaining insights into technologies that drive innovation in various industries.
Analyse the transformative impact of data science applications in sectors like marketing and healthcare, gaining hands-on experience with leading frameworks.
Create engaging visual representations of data by applying principles of design and cognitive science, while integrating web development techniques for interactive delivery.
University of Roehampton
Set on London's most beautiful campus, the University of Roehampton offers a high-quality student experience with outstanding staff and facilities.