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MSc Data Analytics

University of Strathclyde, United Kingdom
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Course Overview

The MSc Data Analytics is designed to create rounded data analytics problem-solvers.

The course focuses on using data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.

You'll gain a comprehensive skill set that will enable you to work in various sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.

The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:

This unique collaboration avoids similar degrees' narrow interpretation of the subject. It presents significant business opportunities to recruit data analytics experts with high-level expertise and knowledge.

Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations who present case studies and challenging projects to our students.

General Eligibility

Academic requirements

MSc: Minimum second-class Honours degree, or overseas equivalent (see our country pages for further information) in:

  • mathematics

  • the natural sciences

  • engineering

  • economics/finance

Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.

Part Time Work Details

20 hours of work permit weekly for international students.

What You'll Study

1 Core classes
  • Big Data Fundamentals

  • Big Data Tools & Techniques

  • Data Analytics in R

  • Business & Decision Modelling

  • Optimisation for Analytics

  • Data Analytics in Practice

2 Elective classes

Department of Computer & Information Sciences

  • Database Fundamentals

  • Evolutionary Computation for Finance 1

  • Evolutionary Computation for Finance 2

  • Legal, Ethical & Professional Issues for the Information Society

  • Fundamentals of Machine Learning for Data Analytics

  • Machine Learning for Data Analytics

Department of Mathematics & Statistics

  • Financial Econometrics

  • Bayesian Spatial Statistics

  • Mathematical Introduction to Networks

Department of Management Science

  • Stochastic Modelling for Analytics

  • Business Simulation Modelling

  • Risk Analysis & Management

  • Business Information Systems

Language Requirement

IELTS 6.5 overall (no individual band less than 5.5)

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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