Data-Intensive Analysis
Saint Andrews, Scotland, United Kingdom
The MSc in Data-Intensive Analysis at the University of St Andrews equips students with advanced skills in leveraging big data for scientific discovery, fostering innovative research and industry-ready expertise in data analysis, statistical modeling, and computational techniques. The program emphasizes practical application, critical thinking, and interdisciplinary collaboration to prepare graduates for diverse career paths in data science, research, and industry sectors.
- Saint Andrews, Scotland, United Kingdom
- 1 year
- On Campus
- ₹35,79,906/Year
Pros & Cons
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Program Overview
The MSc in Data-Intensive Analysis at the University of St Andrews equips students with advanced skills in leveraging big data for scientific discovery, fostering innovative research and industry-ready expertise in data analysis, statistical modeling, and computational techniques. The program emphasizes practical application, critical thinking, and interdisciplinary collaboration to prepare graduates for diverse career paths in data science, research, and industry sectors.
QS World Ranking
Not Available in Not Available
Class Size
400 Students
Key Features
Specializations Available
AI/ML, Systems, Theory, Human-Computer Interaction
Research Opportunities
Access to cutting-edge research labs and industry partnerships
Admission Requirements
PTE Academic
76.0
Key Dates
Application Start time & Deadline
Starting 2025-09-01
Apply before 2125-04-18
Program Start
Unknown
Programme Structure
Courses include:Advanced Data AnalysisKnowledge Discovery and DataminingApplied Statistical Modelling using GLMsComputing in StatisticsData-Intensive SystemsInformation VisualisationCheck out the full curriculumVisit programme website
Program Highlights
- Comprehensive curriculum covering all key topics
- Hands-on projects and real-world case studies
- Expert faculty with industry experience
- Career support and placement assistance
Academic Requirements
GPA
3.5
English Language Requirements
PTE Academic
76.0
Overall ScoreAdditional Requirements
Applicants must hold a 2:1 Honours degree in a STEM discipline or possess equivalent professional experience. Demonstrable interest or experience in statistical data analysis within academic or professional contexts is essential. Candidates should have prior experience with object-oriented programming languages such as R, Python, C++, or Java. A one-page personal statement addressing entry requirements, relevance of previous education or experience, interest in statistical analysis, and programming skills must be submitted. Additionally, applicants need to provide academic transcripts, degree certificates, two signed references (preferably one academic and one professional), and proof of English language proficiency.
Course Fees
₹35,79,906/Year
Annual Fee
1 year
Total Duration
Living Costs
No Living costs available.
University Scholarships
RADMA Doctoral Studies Programme
N/A
Amount
25334 GBP
Deadline
Not Available
External Scholarships
Rochelle Nicolette Perry Memorial Scholarship
N/A
Amount
1250 USD
Deadline
Not specified
Organization of American States (OAS) Academic Scholarship Program
N/A
Amount
Various benefits
Deadline
Not specified
Master's Scholarship
N/A
Amount
Various benefits
Deadline
Not specified
Denise Halbach Performance Scholarship
N/A
Amount
2000 USD
Deadline
15 Apr 2025
Thomas Jefferson Prize in United States History
N/A
Amount
300 EUR
Deadline
Anytime
Eligibility Requirements
No Eligibility Requirements Available
Application Process
No Application Steps Available
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