MSc Data Science

  • Study Mode: Full Time
  • Location: High Wycombe
  • Duration: One Year
  • Start Date: April and September 2025

MSc Data Science is designed to meet the demands of today’s data-driven industries. This course blends cutting-edge technical training with leadership and problem-solving development, preparing you to tackle complex challenges with confidence. Graduate as a skilled professional ready to harness the power of data to drive innovation and solve real-world problems.

Why study MSc Data Science at BNU?

Learn from a team of highly skilled academics and industry professionals who bring real-world experience to every lesson. They’re here to guide you, challenge you, and support you in developing those technical and personal skills that top employers value.

Our curriculum is aligned with industry requirements to ensure you’re learning the latest techniques and tools. Covering varying aspects through database design, the processing and analysis of big data, to the communication of results and implications, every module equips you with the skills you need to solve complex problems in the evolving and impactful world of data science.

Our course offers a variety of optional modules that allow you to tailor your studies to match your interests and career goals. This means you can focus on the areas of data science that excite and inspire you.

A master’s in Data Science can open doors to roles in tech, finance, healthcare, and beyond. With the advanced skills and leadership training we provide, you’ll be ready to step into a high-demand and rewarding career.

Experience real-world applications of your learning through guest lectures, work-related assignments, and networking opportunities. These connections help you build a strong professional foundation even before you graduate.

What will I study?

MSc Data Science at BNU offers a balanced blend of theoretical knowledge and practical skills, preparing you for success in today’s data-driven world. You’ll explore core topics like data analysis, programming, and database design, giving you the tools to manage and interpret complex datasets. The course also delves into cutting-edge areas such as big data processing, artificial intelligence, and machine learning, ensuring you stay ahead in these rapidly progressing fields.

Industry-relevance and learner employability is embedded across the course by facilitation of the BNU Graduate Attributes – knowledge and its application; creativity; social and ethical awareness and responsibility; leadership and self-development. This means that you will not only be developing the technical and soft skills important for a data science role – you will also be developing leadership skills and the abilities to make a positive impact in modern society.

During your final project, you’ll apply your learning to tackle a genuine problem. This hands-on experience not only showcases your skills but also helps you build a portfolio that demonstrates your readiness for industry roles.

With opportunities to tailor your studies through optional modules, you’ll have the flexibility to focus on areas that align with your career aspirations, ensuring a learning journey that’s both relevant and rewarding.

Facilities and equipment

Our computing facilities are regularly upgraded so that you have access to the right hardware, software and technology, to succeed in your studies and to prepare you for employment.

How will I be taught and assessed?

You'll learn through a mix of lectures, practical sessions, tutorials, and group work, ensuring a hands-on, collaborative learning experience. Small class sizes create a supportive environment where you’ll connect closely with staff and peers.

Assessments focus on real-world tasks, including written assignments, programming projects, presentations, and case studies, allowing you to apply what you’ve learned in practical scenarios. This approach ensures you’re fully prepared for a successful career in data science.

MSc Data Science Programme Specification

What are the course entry requirements?

The University’s general entry requirements will apply to admission to this programme with the following additions / exceptions:

  • An academic qualification equivalent to a BSc (Hons) Degree in a relevant subject area, 2:2 classification or better.
  • English Language level according to current IELTS requirement.

If you do not meet the standard entry requirement with regards to academic qualification, your suitability for the programme will be assessed based upon your previous studies, professional and/or vocational experiences. An interview will likely be necessary in such cases. The accreditation of prior learning (APL) process may be utilised to determine if any exemptions from studying modules are appropriate.

Modules

This provides a guide of the modules that make up your course. You can find more information about how your course is structured on our Academic Advice section.

What are the tuition fees

Home
  • Home, Academic Year 2024 - 2025: £10,500 per year *
  • Home, Academic Year 2025 - 2026: £10,990 per year *
International
  • Overseas/International, Academic Year 2024 - 2025: £15,550 per year *
  • Overseas/International, Academic Year 2025 - 2026: £15,550 per year *

Following the Government’s announcement of 4 November 2024, we will be increasing our full-time undergraduate tuition fees for UK students to £9,535 per year from the start of the 2025/26 academic year. Our part-time fees for UK undergraduate students will increase to £7,145 per annum. Please visit , on the Government’s website, for more information about the changes. 

Tuition fees for Home undergraduate students (including with foundation year) may increase in subsequent years for both new and continuing students in line with an inflationary amount determined by the Government.   

Tuition fees for both new and continuing international students may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year.   

Tuition fees for postgraduate courses and CPD may be subject to an inflationary increase based on the Consumer Price Index (CPI) for the 12-month period to 31 January each year. This increase will apply to both new and continuing students.   

We understand, and really appreciate, the significant financial commitment our students make when they choose to study at BNU. We take our responsibilities to our students very seriously, and are ambitious for each to reach their full potential and succeed in their chosen career. Our fees help us to continue providing our students with a high-quality education, and to invest in the services and facilities which create an excellent student experience at BNU. 

The following factors will be considered by the University when we set the annual fees: measures of inflation such as the retail price indices; projected increases in University costs; and any changes in the level of funding for teaching received from the Government.

Additional course costs and financial support

Most courses will involve some additional costs that are not covered by your fees.
You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

Questions about fees?

If you have any questions about the fees above, contact our Enquiries team by calling 0330 123 2023 or emailing advice@bnu.ac.uk.

What are my career prospects?

Graduating with an MSc in Data Science from BNU opens up a world of exciting career opportunities. As data science continues to grow across industries, you’ll be equipped with the technical skills and leadership qualities that employers are actively seeking. Our graduates go on to work in a variety of sectors, including technology, finance, healthcare, marketing, and more.

Beyond technical expertise, the programme also focuses on developing your problem-solving and ethical decision-making skills, making you a valuable asset in any organisation. With strong industry connections and a curriculum designed to meet the latest market demands, you’ll be ready to make a significant impact in the data science field.

Course leader

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Dr Kevin Maher
  • Deputy Head of School (Creative and Digital Industries)
  • Associate Professor
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Kompel Campion
  • Lecturer
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Dr Muntasir Al-Asfoor
  • Senior Lecturer
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Dr Nicholas Day
  • Senior Lecturer
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Dr Shahadate Rezvy
  • Senior Lecturer
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