University of Strathclyde United Kingdom

MSc Advanced Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon September 2026

Course Overview

The MSc Advanced Data Science at the University of Strathclyde is designed for ambitious individuals seeking to master the theoretical and practical skills essential for a successful career in this dynamic field. You will delve into the processing of big data, explore the mathematical underpinnings of prediction and classification methods, and develop robust programming skills in R and Python. This postgraduate programme offers a comprehensive curriculum that addresses the growing demand for data scientists capable of extracting valuable insights from complex datasets, making it ideal for those aiming to shape the future of data-driven industries.

This full-time, on-campus Masters degree is structured over one year, with modules progressing from core data science principles in Semester 1 to advanced machine learning techniques and deep learning algorithms in Semester 2. You will have the opportunity to tailor your learning through optional modules in areas like risk analysis or AI for Finance, culminating in a significant research project in Semester 3 where you will apply your acquired skills to a real-world data science problem. You will graduate with a Masters degree and the analytical, programming, and research capabilities sought after by employers in technology, finance, and beyond.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program offers advanced training in data science, preparing students for leadership roles in the field. Across three semesters, students will delve into the core principles and cutting-edge techniques of data science. The curriculum is designed to equip graduates with the analytical and technical skills necessary to tackle complex data challenges and drive innovation in various industries.

1 Semester 1

2 Semester 2

3 Semester 3

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

25% off
First Year Fee Tuition fee
USD 27,270.00 USD 36,360.00
Total Program Cost Estimated total tuition
USD 27,270.00 USD 36,360.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 837.00 - USD 1,436.00
Food & Groceries USD 2,417.00 - USD 4,833.00
Transport USD 806.00 - USD 1,611.00
Utilities & Bills USD 1,128.00 - USD 2,095.00
Estimated Total USD 4,351.00 - USD 8,539.00

Living cost estimates are based on John Anderson Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingAerospace Engineering & DesignAirport Infrastructure & Aviation SecurityAlternative Aviation Fuel & SustainabilityBroadband & Internet ServicesCloud Computing & InfrastructureIndustrial & Mechanical EngineeringIndustry 4.0 & Digital ManufacturingInvestment Management & Asset ManagementLogistics & Warehouse Management

Top Employers Hiring for this course

Accenture

BAE System

IBM

J.P Morgan Chase Co.

NatWest Group

Why Study MSc Advanced Data Science at University of Strathclyde

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at University of Strathclyde in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MSc Advanced Data Science at University of Strathclyde

Can I work while studying?

International students can work up to 20 hours per week during term time, and full-time during breaks. No separate work permit is required.

What English language score do I need for this course?

To enroll, you must meet specific English test requirements. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE with varying minimum scores.

What jobs can I get after studying this course?

Potential job titles include Data Scientist, Data Analyst, Machine Learning Engineer, Statistician, and Data Engineer.

What will I actually study in this course?

This advanced course equips you with practical skills in statistics and data science, focusing on data processing and statistical programming. You'll also learn key mathematical methods essential for analytical and predictive modeling.

When can I start — what are the intake months?

The MSc Advanced Data Science program has an intake in September each year.
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