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Full time & Part time September MSc 12 months full-time, 24 months part-time
Business & Management (5) Computer Science (8)

FindAMasters summary

The MSc Data Analytics programme at Strathclyde Business School is designed to equip students with a comprehensive skill set in data analytics. The course focuses on using data analytics techniques within business contexts, making informed decisions about technology, and understanding the theoretical principles behind it. With input from three departments, students gain expertise in areas such as machine learning, data mining, and statistical tools. The programme offers a range of elective classes for specialization and includes a practical summer dissertation project. Entry requirements include a minimum second class Honours degree in relevant subjects, along with programming experience. Join this programme to become a well-rounded data analytics problem-solver.

About the course

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

The course focuses on the uses of 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 a variety of 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:

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Entry 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.

There will be significant programming elements to the programme; many modules will require the student to use software packages such as Python and R, along with others. Students should have experience of working with programming languages, and a willingness to learn new ones.




 Course Content

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Where will I study?

Where is University of Strathclyde

Student Profile

Andrea Oteo Valmaseda

In my opinion, the MSc Data Analytics is a very complete course that is aimed at students from all backgrounds. There were engineers, chemists, business graduates and mathematicians. In terms of training, it is a very practical degree. Strathclyde teach you what you are going to have to apply in jobs related to data analysis. The training ranges from teaching the most commonly used software in business, such as R and Python, to the most advanced Machine Learning or Deep Learning algorithms.

In addition, something that really caught my attention was a module called ‘Data Analytics in Practice’ in which representatives from companies such as EY or Glasgow City Council present case studies and challenging projects to the students. This class involves students working on real projects that may arise in their future work. You learn from experts in the field who work in leading companies.

The University has many contacts and offers, in addition to a good education, many opportunities for the future. Every year the course is attended by guest speakers who share their valuable experiences with the students. The University is very international and you share classes with people from all countries, from Europeans to Indians, Chinese to Americans. Staff are also very efficient in dealing with any problems you may have and give a lot of help to students.

As I said before, ‘Data Analytics in Practice’ is one of the classes that caught my attention in this programme. It gives you the opportunity to make real contacts with workers from leading companies around the world and to apply the knowledge you learnt during the classes to real projects. Moreover, by working in teams you can see first-hand what your role is like within the team, where you need to improve or which role you best fit in. It also included presenting projects in front of the client, which gave students practice in public speaking.

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