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Study Data Science (Conversion) MSc

Fees, Modules, Entry Requirements & Application for Bangladeshi Students

Quick View

  • Study Option
    Full-Time
  • Intakes
    September
  • Location
    Exton Park, Chester, UK
  • Duration
    1 Year
  • Level
  • Subject
  • International Fees
    £ 14,750 for a full-time course
    Up to scholarships
    Deposits: £ 5,000

How to Apply

Before making an application, you will need to decide on your course and learn requirements clearly. Information in this page is available for the international students only.

Apply Now

The Data Science (Conversion) MSc at the University of Chester is a full-time 1 Year Postgraduate program in the field of Computing & Cybersecurity. Delivered at the University's Exton Park campus in Chester, UK, the course offers a balanced mix of academic study and practical experience.

Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a full-time competitive international tuition fee of £ 14,750 Starting each September, it is designed to equip students with essential skills for advanced study and professional growth.

The University of Chester offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the UK through this program.

Course Highlights

This conversion Master’s degree in Data Science enables students to make the leap to the fast-growing area of data science. It is designed for individuals with a technical, mathematical or engineering background who wish to enhance their skills in the field of data science. Students who have previously worked in these areas, but lack a formal degree, are also encouraged to apply to this course. This course is ideal for those interested in data analytics, machine learning, statistics and Python for data science.

The Data Science course is within the School of Computer and Engineering Sciences, which is a forward-thinking innovative School. The course content is cutting edge, building upon the School's expertise. This is reflected in modules such as statistical programming, machine learning, enterprise development and principles of data science.

Course Modules

Research Methods
Core - 20 Credits
Statistical Programming
Core - 20 Credits
Ethics and Principles of Data and AI
Core - 20 Credits
Programming for AI/Machine Learning
Core - 20 Credits
Databases and Security
Core - 20 Credits
Enterprise Development
Core - 20 Credits
Research Project
Option - Year 1

Learning Structure

Teaching
  • The course uses a variety of teaching methods, including- lectures, workshops, seminars, research.
  • Consists of six 20-credit modules and a 60-credit supervised research module.
Assessment
  • The majority of work will be assessed by coursework.

Entry Requirements

  • 4-year Bachelor's degree in any discipline with CGPA 2.75 or 60% of marks (or above) from recognised institution.

    CGPA 2.50 is acceptable of the following universities:

    1. North South University (NSU)
    2. BRAC University
    3. Independent University Bangladesh (IUB)
    4. American International University Bangladesh (AIUB)
    5. Asian University for Women (AUW)
    6. Bangladesh University of Professionals (BUP)
  • A 2:2 or above honours degree in any discipline.
  • To have equivalent work experience.

The university does not accept qualifications from the following institutions

  1. Royal University Dhaka (RUD)
  2. The Millennium University
  3. Atish Dipankar University of Science & Technology
  4. Stamford University Bangladesh
  5. Varendra University

English Language Requirements

IELTS  Overall 6.5

Listening

5.5

Reading

5.5

Writing

5.5

Speaking

5.5
Language Accepts: IELTS, Pearson PTE, LanguageCert, TOEFL, OIETC, Duolingo
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Documentary Evidence List

  • Academic Transcripts
  • Degree Certificate
  • English Test (IELTS/ TOEFL/ PTE/ Duolingo - UKVI accepted)
  • Statement of Purpose (SOP)
  • 2 Recommendation Letters (LORs)
  • Updated CV/ Resume
  • Research Proposal (for Research/ PhD)
  • Work Experience Certificates (if study gap)
  • Passport Copy

Study Gaps

For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.

To strengthen your profile, it is important to:

  • Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
  • Emphasize the skills and experiences you developed during this time that are relevant to the program.
  • Demonstrate that your academic qualifications continue to meet the course entry requirements.

Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.

Last reviewed on 01 August 2025.