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Study MSc Data Science at University of Roehampton in 2026
12 May 2026 program

Study MSc Data Science at University of Roehampton in 2026

Offered through on‑campus and online study modes, with an option for a work placement, the programme is suitable for students with a 2:2 STEM background and prepares graduates for roles including data scientist, data analyst, and data engineer. 

In the sections ahead, we explore the programme structure, curriculum, eligibility requirements, tuition fees, study pathways, and career outcomes in detail. 

Why Study MSc Data Science at University of Roehampton? 

The University of Roehampton offers a practice‑driven MSc Data Science programme that emphasises applied learning rather than purely theoretical instruction.  

Located in south‑west London, the university combines access to one of UK’s largest job markets with a supportive campus environment ideal for international students. 

The course is designed to help students translate raw data into actionable insights, making it suitable for those aiming to build careers in analytics, machine learning, business intelligence, and applied research. 

Key Reasons to Choose This Programme 

  • Strong focus on real‑world and applied data science 

  • Training in Python, cloud‑based platforms, and scalable data frameworks 

  • Coverage of machine learning, data analytics, and visualisation 

  • Emphasis on ethical and responsible data practices 

  • Access to UK Graduate Route (2‑year post‑study work visa) 

  • Option to pursue an Extended Master’s / Professional Experience Year 

This structure makes the programme particularly attractive for Indian students planning long‑term careers in the global data and technology sector. 

Program Overview: MSc Data Science at University of Roehampton 

The MSc Data Science programme is structured to give students a complete understanding of the data science lifecycle, from data acquisition and statistical modelling to machine learning deployment and communication of insights. 

The course supports multiple study pathways, including MSc, PGCert, PGDip, and Extended Master’s options for international students. 

Programme Structure Overview:  

Parameter 

Details 

Degree Awarded 

MSc Data Science 

Credits 

180 credits 

Duration (Full‑time) 

1 year 

Duration (Part‑time) 

2 years 

Extended Master’s Option 

Available for international students 

Primary Intake 

September 

Location 

London 

The programme culminates in a capstone MSc project, where students manage an end‑to‑end data science initiative from problem definition to final presentation. 

Curriculum and Modules for MSc Data Science 

The curriculum is designed to balance mathematical foundations, technical skills, and applied industry knowledge. Students engage with modern tools, datasets, and workflows used by data professionals across sectors. 

Core Modules (Level 7) 

Module 

Focus Area 

Mathematics and Statistics for Data Science 

Probability, linear algebra, modelling 

Data Analytics and Visualisation 

Exploratory analysis and insights 

Machine Learning and Deep Learning 

Predictive modelling 

Application of Data Science in Industry 

Real‑world use cases 

MSc Data Science Project 

Applied capstone project 

From the beginning of the programme, students work on hands‑on labs, sector‑specific case studies, and project‑based assignments, ensuring strong practical exposure. 

Eligibility Criteria for MSc Data Science at Roehampton 

The University of Roehampton follows clear and transparent admission requirements, ensuring students have the academic foundation needed for a technically demanding programme. 

Eligibility Requirements 

Requirement 

Details 

Academic Qualification 

Bachelor’s degree (STEM preferred) 

Minimum Marks 

Around 55% or equivalent 

Preferred Background 

Computing, Maths, Statistics, Engineering 

English Proficiency 

IELTS 6.5 overall 

GMAT/GRE 

Not required 

Students without a core computing degree but with strong quantitative exposure may be considered on a case‑by‑case basis. 

Fees and Funding for MSc Data Science at University of Roehampton 

Tuition fees vary by student category (UK or International), qualification level, and entry intake.  

The figures below reflect full‑time tuition fees:  

September 2026 intake 

  • MSc Data Science: 18,980 GBP (INR 24.1L) 

  • PGCert: 6,328 GBP (INR 8.0L) 

  • PGDip: 12,657 GBP (INR 16.1L) 

  • Extended Master’s (1 Semester): 22,980 GBP (INR 29.1L) 

  • Extended Master’s (2 Semesters): Not available 

January 2027 intake 

  • MSc Data Science: 18,980 GBP (INR 24.1L) 

  • PGCert: 6,328 GBP (INR 8.0L) 

  • PGDip: 12,657 GBP (INR 16.1L) 

  • Extended Master’s (1 Semester): Not available 

  • Extended Master’s (2 Semesters): 25,980 GBP (INR 32.9L) 

Cost of Living in London for Data Science Students 

Living in London is relatively expensive compared to other UK cities, but the University of Roehampton’s location in southwest London helps students manage costs more effectively.  

The area offers comparatively affordable accommodation options, good public transport connectivity, and access to essential student facilities, making it suitable for international students. 

Below is an estimated breakdown of average monthly living expenses for MSc Data Science students in London:  

Average Monthly Living Expenses: 

Expense 

Monthly Cost 

Accommodation 

700–1,000 GBP (INR 88.8K–1.27L) 

Food 

200–300 GBP (INR 25.4K–38K) 

Transport 

100–150 GBP (INR 12.6K–19K) 

Utilities & Internet 

100–140 GBP (INR 12.6K–17.7K) 

Estimated monthly total: 1,100–1,500 GBP (INR 1.39L–1.9L), depending on lifestyle choices, accommodation type, and personal spending habits. 

Students who choose shared housing, cook at home, and use student transport discounts can significantly reduce their overall monthly expenses while studying in London. 

Learning and Assessment Methodology at the University of Roehampton   

The programme uses a blended and applied learning model that integrates theory with real‑world practice. 

How You’ll Learn 

  • Seminars covering core and advanced data science concepts 

  • Practical labs using Python, Jupyter Notebooks, and analytics tools 

  • Group‑based problem solving and live demonstrations 

  • Flipped‑classroom learning and coding tasks 

  • Industry‑focused projects and consultancy challenges 

How You’ll Be Assessed 

  • Coursework and technical reports 

  • Dashboards, models, and analytical artefacts 

  • Group projects simulating real‑world workflows 

  • Independent MSc project (capstone) 

  • Continuous formative and summative feedback 

Career Opportunities After MSc Data Science at the University of Roehampton   

Graduates of the MSc Data Science at the University of Roehampton are well positioned to enter the UK’s fast‑growing data and analytics job market.  

Upon completion of the programme, international students are eligible for the UK Graduate Route, which allows them to work in the UK for up to two years without employer sponsorship, providing valuable professional exposure. 

Common Career Roles:  

  • Data Scientist – building predictive models and extracting insights from complex datasets 

  • Data Analyst – analysing and interpreting structured and unstructured data 

  • Machine Learning Engineer – developing and deploying machine learning algorithms 

  • Business Intelligence Analyst – transforming data into dashboards and strategic insights 

  • Data Consultant – advising organisations on data‑driven problem solving 

  • Research Analyst – supporting research and analytics in academic or industry roles 

Approximate starting salary: 25,000–35,000 GBP per year (INR 31.7L–44.4L), depending on role, location, technical skillset, and prior experience. 

Graduates with strong programming skills in Python, hands‑on project experience, and exposure to real‑world datasets typically have better prospects for higher‑paying analytics and machine learning roles. 

Conclusion 

The MSc Data Science at University of Roehampton offers a well‑rounded combination of technical depth, applied learning, and London‑based industry exposure. With a strong emphasis on working with real‑world data, the programme helps students build practical skills alongside a solid theoretical foundation. 

With flexible study pathways, competitive tuition fees, and access to UK post‑study work rights, the programme stands out as a practical and future‑ready option for Indian students aiming to build global careers in data science and analytics.

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