Eligibility Requirements for Glasgow University, MSc in Data Science

MSc Data Science is a specialized form of the MSc that offers students comprehensive training in analyzing large datasets, which prepares them for important jobs in big data and IT industries.

Let's simplify the entry requirements, including academic prerequisites and English language proficiency, to help you smoothly navigate the application process.

Academic Requirements:

Requirement Description
Minimum Degree Classification A minimum of a 2:1 Honours degree or equivalent with Computing as a major subject.
Composition of Computing Subjects Computing subjects should make up at least 50% of all subjects studied in the final two years of the degree.
Exclusions Recent graduates with an undergraduate degree in Computing Science or Software Engineering from the University of Glasgow are not eligible.

English Language Proficiency:

For applicants whose first language is not English, proficiency must be demonstrated through one of the following tests:

Test Minimum Requirements
IELTS Academic Overall score of 6.5 with writing at 6.5, or writing at 6.0 with no subtest less than 6.5
TOEFL (ibt, mybest, or at home) 79 overall with specific subtest scores, or 79 overall with Reading 19, Listening 20, Speaking 20, Writing 21
Pearson PTE Academic 59 overall with minimum 59 in all subtests
Cambridge Proficiency in English (CPE) and Cambridge Advanced English (CAE) 176 overall with no subtest less than 169
Oxford English Test (Oxford ELLT 7) Any two skills at level 6 and any two skills at level 7 with Reading: 21-24 and Listening: 15-17
Trinity College Tests (ISEII Distinction with Distinction in all sub-tests) Integrated Skills in English II & III & IV: ISEII Distinction with Distinction in all sub-tests.
University of Glasgow Pre-sessional courses Tests are accepted for 2 years following the date of successful completion.
Alternatives to English Language qualification Degree from a majority-English speaking country or completion of an Undergraduate 2+2 degree from such a country, with specific study duration and completion requirements.



Bachelor's GPA Requirement

Any degree

UG Requirement

Test Scores Requirement

ExamRequirementMinimum Section Scores
79reading: 19 | writing: 21 | speaking: 20 | listening: 20

Program Eligibility URL:https://www.gla.ac.uk/postgraduate/taught/datascience/#tab=apply

Glasgow Caledonian University, MSc in Data Science Class Profile

3 - 4 / 4

Bachelors GPA / Percentage Range

Glasgow University, MSc in Data Science Rankings

About Glasgow University, London

Established in 1451, the University of Glasgow holds a prestigious place among the oldest and most esteemed institutions worldwide. Nestled in the vibrant West End of Glasgow, Scotland, the university's main campus offers a culturally rich environment for students. The university provides a learning and research-friendly environment with contemporary facilities, which include cutting-edge labs and libraries.

Other Important Details

  • Curriculum: Engage in a program that extensively explores diverse subjects like the application of statistics, data visualization strategies, and managerial techniques, along with the study of data analysis and machine learning.
  • Duration: The MSc in Data Science program typically lasts one year for full-time students.
  • Admission Requirements: Joining the University of Glasgow? You'll need a relevant undergrad degree, transcripts, letters of recommendation, and English proficiency test scores.
  • Career Opportunities: Graduating opens doors to roles like data scientist, analyst, and more in various industries.
  • Facilities and Support: Enjoy access to top-notch facilities like computer labs, libraries, and industry collaborations for academic and professional growth.

Glasgow University, MSc in Data Science Program Description

Glasgow University offers a comprehensive MSc in Data Science to groom tomorrow's data scientists. This one-year intensive program is meticulously crafted to nurture students in fundamental facets including, but not limited to, data interpretation, machine learning, statistical patterns, and data representation.

A Quick Snapshot

1. Teaching Methods: Glasgow University utilizes a blend of lectures, insightful seminars, and practical tutorials for their MSc in Data Science.

2. Interactive Learning: Lab work, undertaken projects, and collaborative team activities are woven into the course framework to invigorate students with first-hand experience and in-depth understanding.

3. Knowledge Spectrum: The program is designed to offer a robust foundation of critical areas in data science, equipping students with the skills necessary for their professional journey.

4. Duration: With a one-year duration, it leverages a concentrated learning strategy, targeting the complete development of a data science aspirant.

Program URL:https://www.gla.ac.uk/postgraduate/taught/datascience/

Glasgow University, MSc in Data Science Program Curriculum

Program Curriculum URL:https://www.gla.ac.uk/postgraduate/taught/datascience/#tab=entry

Following are the electives subjects for the University of Glasgow MSc data science program listed below: 

  • Cryptography and Secure Development (M)
  • Cybersecurity Fundamentals for MSc (M)
  • Human-Centred Security (M)
  • Forensics (M)
  • Human Computer Interaction Design and Evaluation (M)
  • Internet Technology (M)
  • Secured Software Engineering (M)
  • Information Visualisation (M)
  • Mobile Human-Computer Interaction for MSc


Following are the electives subjects for the University of Glasgow MSc data science program listed below: 

  • Cryptography and Secure Development (M)
  • Cybersecurity Fundamentals for MSc (M)
  • Human-Centred Security (M)
  • Forensics (M)
  • Human Computer Interaction Design and Evaluation (M)
  • Internet Technology (M)
  • Secured Software Engineering (M)
  • Information Visualisation (M)
  • Mobile Human-Computer Interaction for MSc

Followings are the core courses for University of Glasgow MSc data science program listed below: 

  • Programming and Systems Development (H)
  • Research and Professional Skills (M)
  • Introduction to Data Science and Systems (M)
  • Machine Learning & Artificial Intelligence for Data Scientists (M)
  • MSc Project for Computing Science+

Here are the specializations offered by the University of Glasgow MSc data science program listed below: 

  • Deep Learning for MSc (M)
  • Information Retrieval (M)
  • Web Science for MSc
  • Big data: systems, programming, and management (M)
  • Text as Data for MSc

The University of Glasgow offers a wide range of extracurricular activities to enhance students' overall experience and promote personal development. These activities go beyond the academic curriculum and provide opportunities for social interaction, skill development, and community engagement. Here are some common types of extracurricular activities at the University of Glasgow:

  1. Sports and Recreation: The university has numerous sports clubs catering to various interests and skill levels. Whether you're into team sports like football or rugby, individual sports like tennis or athletics, or even more niche activities, there are opportunities to stay active and healthy.
  2. Volunteering and Charity Work: Various opportunities exist for students to engage in volunteering and charitable activities. This could involve community service, fundraising events, or contributing to local and global causes.
  3. Professional and Academic Development: Academic and professional societies organize workshops, seminars, and networking events to complement classroom learning. These groups often bring in guest speakers and provide insights into specific industries or fields of study.
  4. Leadership and Development Programs: Leadership development programs, workshops, and conferences are available to help students build essential skills such as leadership, teamwork, and problem-solving.
  5. Entrepreneurship and Innovation: Students who are interested in entrepreneurship and innovation can join clubs or attend events that focus on startups, business development, and creative thinking.

The University of Glasgow offers a diverse variety of extracurricular activities, including sports, arts, media, and community engagement, creating a vibrant and multifaceted student experience.

Glasgow University, MSc in Data Science Fee Structure

Hi there! Are you hoping to advance in the field of data science? The MSc program at Glasgow University is specifically designed to position you for success in this growing sector.

Application Fees: Before you embark on your journey, there's a small application fee to keep in mind. Here's what you need to know:

  • Fee: £25 per application
  • Applies to: All applicants, including UK, International, and EU applicants
  • Program: Specifically for postgraduate taught degrees in the Adam Smith Business School

Tuition Fees:

Here's a breakdown of the tuition fees for the MSc in Data Science program at Glasgow University:

Student Type Full-Time Fee
UK Students £12,150
International & EU £31,860


If you're an international or EU applicant, there's a deposit requirement of £2,000. Make sure to submit it within four weeks of receiving your offer to secure your spot!

Additional Fees: While the tuition covers the essentials, there are a few additional fees you should keep in mind:

  1. Re-assessment of Dissertation (PGT Programme): £370
  2. Submission of Thesis After Deadline: £350
  3. Registration/Exam Only Fee: £170

Application Documents for Glasgow University, MSc in Data Science

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript

  • Semester Marksheets

  • Consolidated Marksheets

  • Graduation/Provisional Certificate


  • GRE

    Glasgow Caledonian University, MSc in Data Science Deadlines

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    Glasgow University, MSc in Data Science Employment

    The University of Glasgow has always prioritized the effective transition of its students into the professional world. With its MSc in Data Science program, the university leaves no stone unturned in enhancing the employability of its graduates. 

    1. Career Consultation: The university takes pride in guiding its scholars on potential career pathways, offering valuable job-hunting strategies and professional development tips. 
    2. Resourceful Workshops and Masterclasses: From resume building to enhancing interview skills, the university conducts exhaustive sessions to equip its students with pertinent job-seeking skills. 
    3. Bridging the Gap with Employers: Students get the chance to mingle with potential employers through frequent career fairs, networking sessions, and informative employer presentations.
    4. Internship Support: The University of Glasgow contributes significantly to students' hunt for internship and work placement opportunities, ensuring they gain hands-on experience in their desired areas of expertise.
    5. Alumni Connection: To provide insights into real-world professional life, the university links current learners with alumni for mentorship and career advice. 
    6. Online Job Platform: Glasgow hosts an employment-centric online platform for its students and alumni. Here, they can explore various job opportunities and connect with potential employers.


    Average Starting Salary

    Companies Recruiting Glasgow University, MSc in Data Science Graduates

    The University of Glasgow MSc data science has established a remarkable reputation based on academic excellence and consistently producing graduates in high demand by prominent global companies and organizations. Here is a list of the Top recruiters for University of Glasgow MSc data science graduates based on their industries:

    • Amazon
    • IBM
    • JP Morgan
    • Deloitte
    • PwC
    • Accenture
    • Morgan Stanley
    • KPMG
    • EY
    • Amdocs
    • Hewlett Packard Enterprise

    Glasgow University, MSc in Data Science Alumni Info

    The University of Glasgow boasts a distinguished alumni community that spans various disciplines and accomplishments. Here is the list of Alumni at Glasgow Caledonian University, London MSc in Data Science: 

    • Lord Kelvin (William Thomson): A renowned physicist and engineer.
    • Adam Smith: Philosopher and Economist 
    • Maggie Keswick Jencks: Co-founder of the Maggie's Centres, which support people affected by cancer.
    • Sir William Ramsay: A Nobel Prize-winning chemist.
    • Emeli Sandé: A successful singer and songwriter.

    Letter of Recommendation for Glasgow University, MSc in Data Science

    The significance of a recommendation letter for an MSc in Data Science at the University of Glasgow should not be underestimated. It presents a third-party opinion on your qualifications and personality, spotlighting your capabilities, accomplishments, and potential as a prospective student. Here are some concise points to secure an exceptional recommendation letter:

    1. Choose the Right Recommender: Select someone who knows you well and can speak to your abilities and qualifications. Ideally, the recommender should be a professor, employer, or professional contact related to your field of study.
    2. Build Strong Relationships: Cultivate strong relationships with potential recommenders over time; always actively engage in class or workplace activities to leave a positive impression.
    3. Provide Information: Give your recommender relevant information about your academic and professional background. It is essential to share your career goals and the program you are applying for at the University of Glasgow.
    4. Request Early: Ask for recommendations well before application deadlines. This allows recommenders ample time to craft thoughtful and detailed letters.
    5. Be Clear and Specific: Clearly communicate the purpose of the recommendation and why you've chosen the University of Glasgow. Try to provide them with specific examples of your achievements and experiences.
    6. Follow Application Guidelines: Ensure your recommenders know of any specific guidelines or forms provided by the University of Glasgow. Provide them with the necessary details, such as deadlines and submission instructions.
    7. Express Gratitude: Thank your recommenders for their time and effort in writing the letter. Keep them informed about the outcome of your application process.

    Statement of Purpose for Glasgow University, MSc in Data Science

    The Statement of Purpose (SOP) is an important part of your admission application for the MSc in Data Science at the University of Glasgow. It primarily gives the admissions committee a peek into your distinct personality, past academic accomplishments, and future aspirations. Your SOP should reflect your passion for data science, present your educational journey till now, and be a testament to your potential as an ideal candidate for this specific course.

    Here are some tips for writing a compelling SOP for the University of Glasgow MSc Data Science program:

    1. Research the Program: Understand the curriculum, faculty, and any unique program features that align with your interests and career goals.
    2. Personalization: Mention specific professors, research opportunities, or aspects of the program that attracted you.
    3. Clear Structure: Organize your SOP with a clear and logical structure. Always start with an introduction that grabs attention, followed by body paragraphs covering your academic background, relevant experiences, and future goals.
    4. Highlight Relevant Experience: Discuss projects, coursework, or internships that have prepared you for the program.
    5. Show Your Passion: Discuss specific interests, challenges you find intriguing, or projects you hope to work on during your studies.
    6. Connect Past Experiences to Future Goals: Clearly explain how your past experiences have shaped your interest in data science and how obtaining an MSc from the University of Glasgow will contribute to your future career goals.

    Glasgow University, MSc in Data Science Scholarships available for International Students

    The University of Glasgow offers a variety of scholarships to support students at different levels of study, including undergraduate, postgraduate, and research programs. Please note that scholarship availability, criteria, and application processes may change. Here is the list of scholarships offered if you are applying for University of Glasgow MSc in Data Science: 

    1. Undergraduate Scholarships
    2. Postgraduate Taught Scholarships
    3. Postgraduate Research Scholarships
    4. Country-Specific Scholarships
    5. Subject-Specific Scholarships
    6. Financial Hardship Scholarships

    What makes Glasgow University, MSc in Data Science unique?

    Glasgow University's MSc in Data Science is unique for its dynamic curriculum, adapting to meet industry needs. Backed by the esteemed School of Computing Science, ranked among the top 10 in the UK, students receive top-notch education and research opportunities. The program's strong alliances, like membership in SICSA and partnership with The Data Lab, offer valuable networking and real-world experience. Students are well-prepared to succeed in the competitive field of data science thanks to their round-the-clock access to contemporary facilities.

    What Glasgow University, MSc in Data Science values in Applicants?

    As a prospective student looking to join the University of Glasgow's MSc in Data Science program, certain qualities will significantly enhance your candidacy. This esteemed institution prioritizes a comprehensive approach, scrutinizing several traits beyond academic prowess.

    1. Academic Proficiency: The university admits academically adept students. Thus, an impressive academic record, underpinned by commendable grades and relevant certifications, is crucial.
    2. Practical Experience: The University of Glasgow highly rates practical experiences comprising work or internships and research projects. Demonstrating how your experiences mirror the program's goals could make your application distinct.
    3. Motivation and Purpose: Showcasing a well-defined purpose and motivation via an articulate statement of purpose or personal statement is essential. The university is particularly interested in applicants who can convincingly align the program's offerings with their prospective goals.
    4. Diversity and Inclusion: Glasgow University celebrates diversity and cherishes the breadth of ideas and viewpoints that a varied cohort brings. Candidates from assorted backgrounds, who can enrich the academic environment with their unique perspectives, are welcomed.

    Glasgow University, MSc in Data Science Contact Information

    Whom should I contact in case of any doubts?

    Telephone Number: +44(0)141 330 2000

    Admissions Web Page: https://www.gla.ac.uk/postgraduate

    Email: pgadmissions@glasgow.ac.uk

    Address: Glasgow G12 8QQ, United Kingdom

    Useful Links

    University of Glasgow MSc Data Science

    Conclusion: Should you apply to Glasgow University, MSc in Data Science?

    In conclusion, you're headed in the right direction for a bright future in the field of data science if you're thinking of applying to the University of Glasgow's MSc in Data Science program at their London location. With an industry-aligned curriculum that is tailored to the needs of this quickly changing business, practical learning experiences, and knowledgeable faculty members to mentor you along the way, you will graduate with the know-how and abilities needed to succeed in this cutthroat sector.

    In addition, the program's interdisciplinary approach and strong industry connections ensure a comprehensive education that prepares you for a wide range of global career opportunities.. You won't be sorry if you decide to apply to Glasgow University's MSc in Data Science program if you're prepared to take the next step toward a fulfilling career in data science!

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    Can you please suggest colleges offering masters in Data science/Business analytics/Big data/AI/ML/Blockchain/cloud computing domains in Canada for September 2022 & January 2023 intake?

    There's a massive scope in artificial intelligence, machine learning, robotics, and data science. And when you pursue your masters in Canada, you enter the pool of job opportunities. 

    Let's look up the universities in Canada which offer these scores, considering IELTS. 

    1. Queen's College

    Conditions for Eligibility:

    • a bachelor's degree in one of the following subjects from an approved university: mathematics, computer science, economics, business, engineering, or science
    • 88 out of 120 on the TOEFL
    • 650 or more on the GMAT
    • IELTS 6.5 or above
    • a minimum of two years of relevant work experience
      excellent speaking skills in English

    Student fees: the curriculum costs Queen's University 12,927 CAD per year.

    2. University of Alberta

    Conditions for Eligibility:

    • possess a four-year undergraduate degree in computer science or one that is equivalent.
    • on an average undergraduate GPA of 3.0 or 4.0.
    • being able to demonstrate understanding comparable to having finished six undergraduate courses in the following four areas
    • system and architecture for computers Software Applications
    • a PTE score of 68/90, an IELTS score of 7, and a TOEFL score of 100/120.

    Student fees: the University of Alberta costs CAD 8,700 in tuition for one academic year.

    3. York University in Toronto

    Conditions for Eligibility:

    • the applicant must hold an undergraduate degree from an accredited post-secondary institution and have completed their coursework with a minimum grade point average of B+ during the previous two years or its equivalent.
    • the applicant's GMAT and GRE scores must be satisfactory.
    • the applicant must receive an IELTS score of 7 out of 9.

    Student fees: this program has an annual tuition cost of CAD 80,100.

    4. Toronto's University

    Conditions for Eligibility:

    • have a TOEFL score of 90/120 and an IELTS score of 7/9
    • have a working knowledge of Python programming and a basic comprehension of statistics. College transcripts should be submitted.
    • submit a letter of recommendation, statement of goal, and documentation of their financial situation.

    Student fees: for the program, the university levies an annual cost of CAD 2,388.

    5. University of Montreal

    Eligibility Requirements:0

    • have completed high school graduation with a top score
    • have an IELTS score of 6.5 and a TOEFL score of 79 for English proficiency
    • be from a science background with strong basics in Physics and Computer Science

    Tuition Fees: the tuition fee for the entire course is CAD 125,000.

    6. Georgian University

    Conditions for Eligibility:

    • the applicant must possess an Ontario College Diploma-equivalent bachelor's degree from any reputable university.
    • an IELTS score of 6.5 or above is required for primary English language competency.

    Student fees: graduate students in this course pay around 8,000 CAD in tuition each semester.

    Decide on the list and enroll in the course that will help you advance your profession and climb the success ladder.

    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
    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 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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