University of St Andrews Courses and Fees 2026

Master of Science [M.Sc] [Applied Statistics and Datamining] From University of St Andrews

St Andrews, ScotlandLocation
UniversitySchool type
Estd1413established year
10234enrollment
Public
7.7/10

Master of Science [M.Sc] (Applied Statistics and Datamining)

1 year
Full Time
On Campus
Ranked #201 out of 500 by ARWU Global Ranking 2022

$34,162 /Yr

£25,880 /Yr
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Collegedunia Team

Content Curator | Updated on - Oct 16, 2025

This programme provides students with good understanding of quantitative elements, allowing them to apply their statistical data analysis skills to business, commerce and other applications. Among the distinctive features of this programme is an emphasis on analysis methods for use in today's commercial analysis sector. Methods are taught in commercial, as well as research, software e.g. SAS, SPSS, R, Enterprise Miner.
Other features include:
a) Practical and pragmatic tools for modern data analysis
b) Being focused towards the market requirements of commercial analysis
c) Skills beyond statistical analysis, but integral to the position of a competent data analyst, i.e. communication, presentation, research and collaboration skills.


Tuition Fees

Year1st Year Fees
Tuition Fees$34162 (GBP 25880)

Previous Year Tuition Fees

Year1st Year Fees
2023$35944 (GBP 27230)
2021$38181 (GBP 28925)

Scores Required

7 / 9

Avg. Score in

IELTS

65 / 75

Avg. Score in

PTE

94 / 120

Avg. Score in

TOEFL


Career and Placement after Course

In the course of this programme students will develop programme-specific skills.

  • Demonstrate original thought
  • Construct a coherent argument or debate by demonstrating logical processing of (complex) information and deductive reasoning
  • Apply critical analysis, evaluation and synthesis to solve complex problems
  • Test hypotheses, theories, methods and evidence within their proper contexts
  • Reason from the particular to the general
  • Identify relevant techniques and concepts to solve advanced and complex problems
  • Demonstrate use of an appropriate range of resources to the task at hand
  • Evaluate relevant best practices for the task at hand
  • Engage directly with current research, developments and skills in the discipline
  • Engage with primary and secondary material and differentiate between them
  • Demonstrate active learning
  • Demonstrate reflective learning, including the ability to engage with and learn from feedback
  • Demonstrate creativity and curiosity
  • Demonstrate independence of thought and reasoning
  • Demonstrate skills in time management, self-discipline and self-motivation
  • Demonstrate skills in close textual and comparative analysis
  • Demonstrate skills in close analysis of visual material
  • Demonstrate advanced IT skills
  • Demonstrate quantitative and methods of analysis
  • Demonstrate expertise in the use of statistical software packages for recording, manipulation and analysis of data
  • Convey statistical results and methods in a manner understandable to the lay-person via written or oral reports
  • Work independently
  • Work as part of a team
  • Communicate with clarity and accuracy, orally (including presentation) and in writing
  • Engage with the views and opinions of others
  • Present work and findings in a professional manner, with attention to detail

          Learn and use research skills



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Similar Programs

ProgramImportant DateTotal FeesMedian Exams ScoreAction
Application deadline for 2026 Intake (6th Aug 2026)
USD 34,162 /Yr
GBP 25,880 /Yr
  • IELTS: 7
  • PTE: 65
  • TOEFL: 94
Application Deadline For 2025 Intake (31st Jul 2025)
USD 40,260 /Yr
GBP 30,500 /Yr
  • IELTS: 7
  • TOEFL: 90

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