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QS Rank:

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104

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University of St Andrews

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Fife

United Kingdom

There are numerous focus areas and types of masters programs one can pursue through higher education at University of St Andrews, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at University of St Andrews include masters in data science, bachelors in data science, boot camps, and short courses.

Course LevelPost Graduation
Course Duration12-14 months
Average Tuition FeeINR 15-60 lakhs per year
Top Job RolesData Scientist, Data Analyst, Data Manager, Data Architect, etc.

Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at University of St Andrews, one can expect to dive into essential concepts in the mentioned areas:

  • Applied Statistics
  • Database Systems and Data Preparation
  • Practical Machine Learning
Subjects Under Masters in Data Science at University of St Andrews

The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at University of St Andrews are as follows:

  • Statistics
  • Coding
  • Business Intelligence
  • Data Structures
  • Mathematics
  • Algorithm
  • Programming
  • Software engineering
  • Artificial intelligence
  • Machine learning
  • Systems architecture

These subjects can be adjusted based on a university curriculum and specialisation.

Scope of MS in Data Science at University of St Andrews

Being in the list of the hottest courses, MS in Data Science at University of St Andrews offers immense opportunities for students with various intriguing and growth-oriented job roles.

  • The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
  • The top salaried sectors that an international student can explore after pursuing their data scientist masters program at St And are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
  • After pursuing this course at St And, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.
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Duration

12 Months

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Median Salary

$55,000

Ranking

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#292

US World and News Report

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#201

The World University Rankings

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#104

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

24

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Average Work Experience

1 Years

Diversity

UK:

65%

Oceania:

1%

Africa:

1%

Europe:

15%

Asia:

5%

Others:

5%

North America:

8%

Career Outcomes

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Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Statistician

Research Scientist

Data Visualization Specialist

Software Engineer

Data Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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  • PTE

    65

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  • TOEFL

    94

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
FallAug 10, 2023

Fees and Funding

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Tuition Fees

$27,230 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of St Andrews offers a number of scholarships for students studying the MSc in Data-Intensive Analysis. These scholarships are awarded based on academic merit and financial need. The full list of scholarships can be found on the university website.
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    The University of St Andrews

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    The Carnegie Trust for the Universities of Scotland

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    The Robertson Trust

FAQs

  • A student can complete Data-Intensive Analysis at University of St Andrews with in 12.

  • The deadline to submit an admission application for Data-Intensive Analysis at University of St Andrews is Application deadline Fall (Standard Deadline) - date - 10/08/2023

  • The annual tuition fee to pursue Data-Intensive Analysis at University of St Andrews is GBP 27230.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of St Andrews. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of St Andrews requirements before submitting a score.

  • Data-Intensive Analysis can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of University of St Andrews, they can easily pursue Data-Intensive Analysis. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at University of St Andrews can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of St Andrews website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of St Andrews by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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