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.
MSc Data Analytics will equip you with the analytical and strategic capabilities required to address complex global challenges, including sustainability. Through modules such as Business & Decision Modelling, and Risk Analysis & Management, you'll learn to apply data-driven approaches to real-world sustainability issues.
Our graduates work across sectors including energy, finance, healthcare, and public policy, using data-driven solutions to address climate risk, optimise resource use, and support sustainability-focused initiatives.
You'll join a community committed to using analytics not only for business performance, but also for advancing the UN Sustainable Development Goals and shaping a more sustainable global future.
Through this programme, you'll graduate equipped with a strong blend of technical and strategic capabilities that employers value across industries such as information technology, energy, finance, and consultancy.
With modules such as Business & Decision Modelling, Big Data Fundamentals, and Machine Learning for Data Analytics, you'll gain hands-on experience with AI, machine learning, and advanced analytics tools, while developing critical problem-solving and business interpretation skills.
Through case studies, industry projects, and exposure to real-world datasets, you'll learn to translate complex analytical findings into actionable business insights. This combination of analytical rigour and business awareness ensures you're highly sought after by employers.
Our alumni have built successful careers in leading organisations such as:
This programme is shaped by Strathclyde’s deep partnerships with government bodies, global businesses, and public organisations. Students have engaged in applied projects with leading organisations such as the NHS, Diageo, EPX, and SYSTRA. These connections ensure that your learning remains practical, relevant, and aligned with real-world challenges.
Through guest lectures, collaborative projects, and industry-engaged teaching, you'll gain valuable insight into how data analytics informs policy, drives innovation, and supports strategic decision-making across sectors.
The programme cultivates the mindset and habits of lifelong learning essential for success in a rapidly evolving digital world. You'll develop the ability to critically evaluate emerging technologies, reflect on your professional growth, and adapt to new challenges with confidence.
The Data Analytics in Practice module, delivered across the academic year, encourages students to tackle real-world business cha
On our MSc Data Analytics programme you'll:
Darshana Achhra tells us what she thinks about the course
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 80 位 | 格拉斯哥大学University of Glasgow | 1年 | 34815英镑/年 |
| 第 103 位 | 伦敦玛丽女王大学Queen Mary University of London | 1年 | 36950英镑/年 |
| 第 338 位 | 塔夫茨大学Tufts University | 34学分，2年 | 57,698美元 |