Masters in Data Science in UK

Top Universities, Fee, Requirements, Scholarships

  1. Masters in Data Science in UK
6 min

In the UK, Masters in Data Science programs teach you how to use data to make smart decisions. Universities like Oxford, Imperial College London, and the University of Edinburgh offer top-notch courses.

You'll learn advanced stats, machine learning, and data visualization. With a booming tech industry and high demand for data pros, graduates find jobs in finance, healthcare, e-commerce, and more. Plus, the diverse environment in the UK adds to the learning experience, making it a great place for aspiring data scientists.

Best Colleges for MS in Data Science in UK

MSc Data Science

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£33,340
Tuition Fee
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Logo of King's College London

King's College London

London, England, UK

MSc in Data Science

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1 year
Duration
$38,024
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Logo of University of Bath

University of Bath

Claverton Down, UK

MSc in Computer Science

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1 year
Duration
$33,811
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MSc in Data Science

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1 year
Duration
$29,370
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MSc in Data Science

fall Intake
1 year
Duration
$44,234
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Logo of The University of Manchester

The University of Manchester

Manchester, England, UK

MSc in Data Science

fall Intake
1 year
Duration
$27,500
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MSc in Data Science

fall Intake
1 year
Duration
$32,096
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MSc Data Science

fall Intake
1 year
Duration
£44,126
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MSc Data Science

fall Intake
1 year
Duration
€29,700
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Logo of University of Birmingham

University of Birmingham

Birmingham, England, UK

MSc in Data Science

fall Intake
1 year
Duration
€31,410
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Logo of University of Leeds

University of Leeds

Leeds, England, UK

Data Science and Analytics MSc

fall Intake
1 year
Duration
$34,255
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Logo of University of Nottingham

University of Nottingham

Nottingham, England, UK

MSc in Data Science

fall Intake
1 year
Duration
$30,856
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Logo of The University of Exeter

The University of Exeter

Exeter, England, UK

MSc in Data Science

fall Intake
1 year
Duration
$29,485
Tuition Fee
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Masters in Data Science in UK: Starting on a journey in the dynamic field of Data Science, the United Kingdom offers a premier MSc program that equips students with cutting-edge skills and knowledge. Here's a comprehensive overview, covering eligibility, application process, documents, financial aid, fees, and career prospects for Masters in Data Science in UK.

Eligibility Requirements

To get an MS in Data Science in the UK, you typically need an undergraduate degree in a related field. Some universities may accept applicants from different backgrounds if they're good at programming, math, and statistics. Here are the requirements for top UK universities:e:

Academic Qualifications:

Bachelor's Degree Bachelor’s degree preferably computer science, technology or other related discipline with 67% or 8.3 out of 10
GPAA minimum GPA of 8.3 out of 10 is required by most universities.

Standardized Test Scores:

GRESome universities require GRE scores. The average GRE score for international students ranges between 292 and 320
Language Proficiency Tests

International applicants need to show their English proficiency through standardized tests. Minimum required scores are typically needed

  • TOEFL: 80-100
  • IELTS: 6.5-7.0

Additional Requirements:

Work ExperienceRelevant work experience boosts your application. It demonstrates practical skills and industry understanding, showing commitment to data science.
 Statement of Purpose (SOP)The SOP is a personal essay where you introduce yourself to the admissions committee and explain why you're interested in pursuing a Master's in data science. 
Letter of Recommendation (LOR)LORs are letters written by individuals who can attest to your academic abilities, character, and potential for success in the program.
Resume/CVIt strengthens your application by providing additional insights into your background, achievements, and qualifications.

Application Process and Requirements


Once you've understood the eligibility criteria, let's explore how to apply for a Masters in data science in UK.

Here is the simple admission process for masters in data science in uk

  • Visit the Official Website: Visit the official website of each university to gather detailed information about the MS in Data Science course, including curriculum, faculty, facilities, and application process.
  • Verify Eligibility Criteria: Verify the eligibility criteria and requirements for the MS in Data Science course at each university. Ensure you meet all the academic and English language proficiency requirements.
  • Fill Out Online Application Form: Fill out the online application form available on the university's website. Provide accurate and complete information, including personal details, educational background, work experience, and statement of purpose (SOP).
  • Submit Necessary Documents: Prepare and submit the necessary documents along with your application form. These may include academic transcripts, degree certificates, letters of recommendation, resume/CV, and English language proficiency test scores (e.g., IELTS, TOEFL).
  • Pay Application Fees: Pay the application fees as required by the university. The fees may vary depending on the university and course applied for.
  • Wait for University Response: After submitting your application, wait for the university to review your application. The university will communicate its decision to you via email or through the online application portal.
  • Accept Offer and Apply for Student Visa: If you receive an offer of admission, carefully read and understand the offer letter. Follow the instructions provided to accept the offer and proceed with the necessary steps to apply for a UK student visa.

MS in Data Science in the UK: Cost of Study

Considering an MS in Data Science in the UK? Here's what you need to know about costs. Tuition for international students is usually £20,000 to £30,000 a year. Living expenses, including housing, food, and transportation, can add up to £12,000 to £15,000 annually. Cities like London may be more expensive. But many universities offer scholarships to help with costs. It's a good idea to explore these options and plan your budget beforehand.

Expense TypeCost 
Tuition£20,000 - £30,000
Living Expenses£12,000 - £15,000
Total per Year£32,000 - £45,000

Computer Science Curriculum and Skills Required

Core Courses

In a Master's program in data science, core courses usually teach fundamental subjects that give important knowledge and skills needed for the field.

Courses TitleDescription
Machine LearningLearn how computers make predictions from data without explicit instructions.
Programming for Data ScientistsMaster Python and R for effective data manipulation and visualization.
Statistical FoundationsUnderstand basic statistical concepts like probability and regression analysis.
Data MiningDiscover patterns and insights from large datasets using clustering and association rules.

Elective Courses

On the flip side, elective courses give students the freedom to pick specific subjects that align with their passions and aspirations in their professional journey.

Courses TitleDescription
Building Big Data SystemsDesign systems for analyzing massive amounts of data in distributed environments.
Database DesignLearn how to create efficient and scalable databases for data storage and retrieval.
Bayesian StatisticsExplore methods for estimating probability distributions and uncertainty in models.
Advanced Programming TechniquesEnhance programming skills with algorithm design and software development practices.

Financial Aid and Scholarships:

Many universities offer scholarships and financial aid to eligible students, which can be based on merit, need, or both. External organizations and government bodies also provide scholarships to international students. It's a good idea to research and apply for these opportunities early.

 Here are some options you can explore:

Chevening Scholarships:

The Chevening Scholarship is for mid-career professionals from 160+ countries, including India. It offers financial support for studies in the UK, freeing students from financial worries. The scholarship covers professional development, training, and research opportunities, allowing students to focus on their academic goals.

Commonwealth Scholarships for Developing Commonwealth Countries:

The Commonwealth Scholarships offer eight types of fully-funded scholarships for outstanding postgraduate students and professionals. They cover tuition, airfare, and living expenses, aiming to support individuals with the potential to create positive social change. You can apply through universities, national nomination agencies, or NGOs.

GREAT Scholarships:

GREAT Scholarships are for top students from certain countries who want to study for a master's in the UK. They're offered by the UK Government and the British Council. Students from countries like India can apply. There are 60 scholarships for Indian students, each worth at least £10,000 for tuition. They're available for various subjects at 27 UK universities, helping international students pursue postgraduate studies.

Government Scholarships:

Government scholarships are offered by some countries for students who want to study abroad, including in the UK for an MS in Data Science. The student's home country sets eligibility criteria. These scholarships may cover tuition fees, living expenses, and travel costs.

Scholarships for Indian Students in UK

International students from India have access to various scholarships for studying in the UK. Here are some options:

  • Charles Wallace India Trust Scholarships:

These scholarships are for students pursuing doctoral or research programs. They cover full tuition, accommodation, and international fares. Final year doctoral students can receive up to 10,000 GBP.

  • Saltire Scholarships:

Offered by the Scottish Government and universities, these scholarships are for international students in fields like science, technology, and healthcare. Each scholarship is worth 8,000 GBP, with 50 scholarships available per year.

  • The Felix Scholarship:

This merit-based and need-based scholarship provides full financial support to underprivileged students from 21 developing countries, including India. Approximately 20 scholarships are awarded each year.

  • Inlaks Scholarship:

Available to international students under 30 years old, this scholarship covers tuition fees, living costs, airfare, and travel expenses. The award amount can be up to 72,000 GBP.

Career Prospects


Finishing your Master's in data science from top universities in the UK reveals a multitude of exciting career opportunities. The field of data science is always evolving, offering a wide range of paths for those with advanced degrees.

Job Roles Average Salary
Data Scientist£48,000 - £84,000
Data Analyst£34,000 - £56,000
Machine Learning Engineer£29,000 - £55,000
Business Intelligence Analyst£33,000 - £54,000

Data Scientist

Data scientists are responsible for analyzing complex data sets to uncover insights and solve business problems. They use statistical techniques, machine learning algorithms, and programming languages to extract meaningful information from data. 

Top Companies Hiring are :

  • Walmart
  • Meta
  • Google
  • Microsoft

Data Analyst


Data analysts collect, process, and analyze data to help businesses make informed decisions. They use various tools and techniques to interpret data and present findings clearly and understandably.  

Top Companies Hiring are :

  • LinkedIn
  • IBM
  • Capgemini
  • Amazon

Machine Learning Engineer


Machine learning engineers design, develop, and deploy machine learning models and algorithms to solve real-world problems. They work with large datasets to train models and optimize their performance. 

Top Companies Hiring are :

  • Meta
  • Galileo Financial Technologies
  • Google
  • Walmart

Business Intelligence Analyst

Business intelligence analysts gather and analyze data from various sources to help organizations make strategic decisions. They design and maintain databases, develop reports and dashboards, and provide insights to stakeholders. 

Top Companies Hiring are :

  • Apple
  • Microsoft
  • Amazon
  • LinkedIn

Conclusion

Consider university's reputation, location, program specialization, and finances before pursuing a Masters in Data Science in the UK. Each university has a unique blend of expertise, resources, and industry connections that impact tuition fees. Explore scholarship options and financial aid opportunities to alleviate financial burdens. A Masters in Data Science in the UK equips graduates with invaluable skills and opens diverse career opportunities.

Frequently Asked Questions (FAQs)

I want to become a data scientist...what should I choose in my masters...CS or data science?Or Can I do my masters in CS and become a data scientist ?I'm a CS major !?

Data Science is an important aspect of many industries because it helps people understand big data and how it can be used effectively in businesses or organisations with the scope of communication and programming. Data science works with structured and unstructured data, which subject matter experts sort to form a product or explanatory analysis. Data Science has advanced technology and made it easier to connect and communicate. Masters in Data Science Course Eligibility:

English Proficiency Test: IELTS or PTE or TOEFL
Entrance Exam: GRE and GMAT (depends on the specific university)
Bachelor’s degree from a relevant university
Resume/CV
Letter of Recommendation
Over 90% of individuals working in this field pursue an MS in Data Science abroad because the career requires an explicit understanding of the methods, modules, and processes. The Masters of Data Science programme is popular among Indian students due to the broad scope of learning, growth, and career opportunities. The most common university programme is the MSc Data Science or MS Data Science. If you have any further questions just ask me.

 

What's the difference between data analytics and data science?Which country is best for masters?

Two of the most sought-after, well-paying careers in 2021 are data analysts and data scientists. These positions were ranked first for rising demand across industries in the World Economic Forum's Future of Jobs Report 2020, followed by big data and AI professionals.

Data analysts often use tools like SQL, R or Python programming languages, data visualization software, and statistical analysis to work with structured data to address real-world business issues. Typical tasks for a data analyst could be:

  1. Identifying informational needs in collaboration with organizational executives.
  2. Obtaining information from both primary and secondary sources.
  3. Data organization and cleaning up for analysis.
  4. Examining data sets to find patterns and trends that can be transformed into knowledge that can be used.
  5. Making clear presentations of findings to help decision-makers use data to their advantage.

When dealing with the unknown, data scientists frequently use more sophisticated data approaches to generate future predictions. They might develop techniques for predictive modeling that can handle both structured and unstructured data, or they might automate their machine learning algorithms. This position is typically viewed as an improved version of a data analyst. Typical daily chores could include:

  1. Gathering, purifying, and processing unprocessed data
  2. Using machine learning algorithms and predictive models to harvest large data sets
  3. Creating instruments and procedures to track and evaluate data accuracy
  4. Building dashboards, reports, and tools for data visualization
  5. Programming the collection and processing of data in an automated manner

The best Nations for Data Science and Data Analytic education are: 

United States

  • The University of California at #4
  • Carnegie Mellon University at #53
  • Massachusetts Institute of Technology at #1
  • Stanford University at #3
  • The University of Washington at #85

United Kingdom

  • The University of Edinburgh at #16
  • The University of Warwick at #61
  • Imperial College London at #7
  • The University of Manchester at #27
  • The University of Southampton at #77

Australia

  • The University of Melbourne at #37
  • Monash University at #58
  • The University of Sydney at #38
  • RMIT University at #206
  • UNSW Sydney at #43

Germany

  • Technische Universität München at #159
  • The Ludwig Maximilian University of Munich at #64
  • The University of Mannheim at #423
  • Technical University Dortmund at #801
  • Leuphana University of Lüneburg at #1000

Canada

  • The University of Waterloo at #149
  • The University of British Columbia at #46
  • Ryerson University at #801-1000
  • The University of Toronto at #26
  • Carleton University at #601-650

Basically, data science and and data analytics are much connected but are not same. In simplest words, data science is a subset of data  science that mainly deals with analytics. Its a  specialization in data science. If you are in the process of selecting one of these for higher studies let me know. Maybe I can somehow be of help.

What are the top career options for data analytics and data science?
Data analytics and data science are often considered as one, but there is a difference. Data science is a vast career, and data analytics is a subset of data science. A large number of people today are inclining toward data analytics and data science careers. Well, there are various reasons for this inclination, such as :

This is a field where there is a high average salary of individuals. 
The industry is growing at a fast pace, and there is a huge demand for skilled personnel. 
There is a lot of room for advancement in a career in this field. 
So let’s now discuss the various job roles. As I have mentioned that data analytics and data science are two different fields, here are the top two career options for each of them separately. 


Career options in data analytics: 

Data analyst: This is the most common job role in the field of data analytics. But it does not mean that this does not have a wide career scope. We have already discussed that this field industry is facing a huge shortage of skilled individuals. The role of a data analyst is to analyze huge chunks of data and maintain databases. 
Business Intelligence Analyst: Every moment, there is a huge momentum in the market, competitors, customers, anything that may take a huge turn at any moment, and that will have a huge impact on the business and its future. Therefore it is important for a business to analyze these shifts and turns in the market and make correct decisions accordingly. This is where the role of a Business Analyst comes to play. They analyze the shifts in market trends so that management can make appropriate decisions timely. 

Career options in data science: 

Data Engineer: This role is within the field of data science so this field will require more technical skills, and the problems will be more complex. The role of a data analyst requires maintenance of databases, the responsibilities of a data engineer are one step ahead. They are also responsible for updating those databases and data structures. 
Project Manager: Project managers work with a team of data analysts and track their team's efficiency and progress. Project managers also maintain coordination with the data analysts and data scientists to maximize productivity and deliver the best results.

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