Master's
MSc Data Analytics – USv
Course Overview
The MSc Data Analytics develops advanced skills in data processing, statistical modelling, machine learning, and analytical decision-making.
Students learn how to transform complex datasets into meaningful insights using modern analytical tools and technologies. Graduates are prepared for careers in data science, business analytics, consulting, finance, healthcare analytics, and technology sectors.
Entry Requirements
- Academic Records: Recognized bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, Engineering, or a related quantitative discipline.
- English Proficiency: IELTS 6.5, TOEFL iBT 88, PTE Academic 61, or equivalent.
- Academic Background: Knowledge of programming, statistics, and mathematics is preferred.
- Application Materials: Bachelor’s transcripts, CV/resume, personal statement, academic reference(s), and passport copy.
- Additional Requirements: Experience with analytics software or programming is advantageous.
Career Outcomes
- Data Analyst
- Data Scientist
- Business Intelligence Consultant
- Analytics Manager
- Data Engineer
Scholarship Available
- Data Analytics Scholarships
- STEM Awards
- International Merit Scholarships
Key Information
Location
Glasgow, United Kingdom
University
University of Strathclyde
Intakes
September
Study Mode
On Campus
Tuition Fee
$31,100 / Year
Duration
1 Years
Language
English
Related Courses
York, United Kingdom
University of York
York, United Kingdom
University of York
York, United Kingdom
University of York
York, United Kingdom
University of York
Glasgow, United Kingdom
University of Strathclyde
