大象传媒

Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • Hong Kong
Please select so we can show the most relevant content.

LIVING IN

  • Hong Kong
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from Hong Kong living in Hong Kong interested in Undergraduate courses

Data Science BSc (Hons)

Keele University

Add to favourites
UCAS CODE: G420

Course options

  • Qualification

    Bachelor of Science (with Honours) - BSc (Hons)

  • Location

    Keele University

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • Duration

    3 Years

Course summary

With the increasing reliance on data-driven decision making across industries, data scientists are in high demand. Our industry-informed BSc blends theoretical foundations and practical experience with dedicated professional and employability modules to equip you with the statistical knowledge, technical, problem-solving, computational and communication skills to implement an ethical approach to analysing real-world data.

Data driven systems are now vital to business, government, science and society, and there is an increasing demand for graduates with required practical skills able to implement an ethical and well-organised approach to analysis of real-world data, present its visualisations and explain the associated business implications.

Data Science at Keele offers a unique combination of robust mathematical and computational skills, including statistical techniques and extensive application of AI and machine learning, essential for success in the rapidly growing field of Data Science. You will start your degree by exploring the theoretical underpinnings of the data science discipline, providing a solid foundation in mathematics, statistics and programming, along with a strong emphasis on the practical skills of a data analyst.

This practical focus will become even more pronounced as you progress through the programme, studying various aspects of AI and machine learning, ethical handling of data, as well as developing presentation, communication and visualisation skills. Building on foundational topics, you will explore current and emerging areas in the field, including data science techniques, probability, artificial intelligence, database systems, applied deep learning and visualisation for data science.

An example of this can be found in year two where you will collaborate in groups for an extended time to analyse a business problem, conduct research, create reports, and present your findings to various audiences.

The ability to gain actionable insight from big data is highly valuable as it enables companies to understand their audience on a granular level and make decisions based on data-driven evidence. From programming in Python, through to large-scale data engineering and working on the latest deep-learning research in applied settings, you will graduate with statistical knowledge and the technical expertise, problem-solving, computational, communication, presentation, visualisation, and teamwork skills employers seek.

You will also benefit from a suite of professional development and employability skills. From guest talks by industry professionals and dedicated sessions focusing on careers and placements to understanding the context of professional, economic, social, environmental, moral and ethical considerations involved in data analysis we will provide you with the knowledge, tools and connections to develop a foundation for your future career.

Our Data Science degree is great preparation for employment in related fields of finance, healthcare, transport, business intelligence and e-commerce, as well as further academic study. Your experience of research and self-directed learning will equip you with the abilities needed to respond to the latest developments in this fast-changing field in the years ahead.

Careers related to your degree include:

Academia

Data analyst

Data engineer

Data scientist

Machine learning engineer

Statistician

Foundation year

Studying a Foundation Year, for whatever reason, offers an alternative route to Keele, and provides a unique opportunity to better prepare for your chosen degree. That extra year of study can improve your academic skills, expand your subject knowledge and, perhaps most importantly, build your confidence.

Duration of study

3 years or 4 years with international or placement year

Tuition fees

Students living in Hong Kong
(International fees)

拢 17,700per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

Keele University

  • University League Table

    61st

  • Campus address

    Keele University, Staffordshire, Keele, Staffordshire, ST5 5BG, United Kingdom

Subject rankings

  • Subject ranking

    57th out of 117 6

  • Entry standards

    / Max 227
    117 52%

    95th

  • Graduate prospects

    / Max 100
    84.0 84%

    46th

    3
  • Student satisfaction

    / Max 4
    2.80 70%

    108th

    1

Suggested courses

University of Plymouth
SIMILAR RANKING

Geography with GIS and Data Science BSc (Hons)

University of Plymouth

Computer Science league table

53
University of Bath
MOST VIEWED

Mathematics, Statistics and Data Science BSc (Hons)

University of Bath

University league table

8

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!