Skip navigation
Data Science at Buckinghamshire New University - UCAS

Course options

2025 - 20262026 - 2027
Apply

Course summary

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?

  • Expert-Led Teaching
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.
  • Industry-Relevant Curriculum
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.
  • Flexible Learning Options
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.
  • Strong Career Prospects
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.
  • Collaborations with Industry
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.

Modules

Core Modules Project Data Science Information Systems and Database Design Programming for Data Science Big Data Processing and Data Visualisation Optional Modules Cloud Security Natural Language Processing Introduction to Applied Artificial Intelligence Machine Learning and Intelligent Agents Computer Science Overview

Assessment method

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.

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.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science at Buckinghamshire New University - UCAS