MSc Data Analytics 12-24 months Postgraduate Programme By Strathclyde Business School |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

31,100 GBPTuition Fee/year

Scholarship

1Scholarships

Main Subject Area

Business AnalyticsMain Subject Area

Programme overview

Main Subject

Business Analytics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Study with us



On our MSc Data Analytics programme you'll:


  • learn from experts across three disciplines - Management Science, Computer & Information Sciences, and Mathematics & Statistics - providing a uniquely broad foundation in data analytics
  • apply your skills to industry-led case studies, gaining practical experience and a portfolio of evidence to showcase to employers
  • access the latest research in machine learning and AI for business, equipping you with cutting-edge knowledge and tools for data-driven decision-making
  • choose from a range of optional classes for specialisation



You may also be interested in:



Why this 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:



This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a 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.

Programme overview

Main Subject

Business Analytics

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Study with us



On our MSc Data Analytics programme you'll:


  • learn from experts across three disciplines - Management Science, Computer & Information Sciences, and Mathematics & Statistics - providing a uniquely broad foundation in data analytics
  • apply your skills to industry-led case studies, gaining practical experience and a portfolio of evidence to showcase to employers
  • access the latest research in machine learning and AI for business, equipping you with cutting-edge knowledge and tools for data-driven decision-making
  • choose from a range of optional classes for specialisation



You may also be interested in:



Why this 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:



This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a 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.

Admission Requirements

176+
6.5+
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.

12 Months
Sep

Domestic
14,250 GBP
International
31,100 GBP

Scholarships

Strathclyde Business School Masters Scholarships for International Students - January 2026

Strathclyde Business School Masters Scholarships for International Students - January 2026
Master Open

Value

$16000

Deadline

12 Jan 2026

Application requirements

QS Event Attendance is NOT required

Entry requirements

You must be admitted to this school to be awarded

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