Data Science (including foundation year) - BSc (Hons)

Add to my prospectus Why study this course? More about this course Entry requirements Modular structure Where this course can take you How to apply

Why study this course?

Looking to pursue a career in Data Science, but don’t yet have the qualifications or experience to begin our three-year course? Our Data Science (including foundation year) BSc route is the perfect opportunity for you to meet the necessary entry requirements to join our traditional three-year degree course. Completing the foundation year will see you join the students from our Data Science BSc, meaning you’ll graduate with the same title and award as those who studied the three-year course.

More about this course

With modules covering mathematics, programming, an introduction to cyber security and more, this foundation year will put you well on the way to a career in this fascinating field. Designed with your interests and future in mind, you’ll acquire practical data science skills, often developed by external organizations, which will prepare you for employment. Throughout your four years studying on the course you’ll also be trained in the use of up-to-date software tools and environments currently used by the industry sector. This includes tools such as Spark, Kafka, Hadoop, Oracle, SQL Server, Linux, Apache Airflow, RStudio, Python - Jupyter, Tableau, and D3 technology. You will also find opportunities to learn from real-life case scenarios.


You’ll be provided with opportunities to develop an understanding of good academic practice, as well as the skills necessary to demonstrate this. In particular, you’ll be encouraged to complete weekly tutorial and workshop exercises as well as periodic formative diagnostic tests to enhance your learning. During tutorial and workshop sessions you’ll receive ongoing support and feedback on your work to promote engagement and provide the basis for tackling the summative assessments.

During the foundation year, a continuous assessment approach is taken, which will see you take part in:

  • regular online quizzes
  • lab-based tests
  • short answer tests
  • individual and group assignments

This approach allows for diagnostic and other formative assessments to help identify where targeted or individual support may be required.

As the course continues, you’ll be assessed by a variety of methods throughout your studies. Module assessment typically consists of a combination of assessment methods including:

  • coursework
  • in-class tests
  • exams

Coursework can include an artifact such as an output of dataset analysis, application of algorithms, data trends or program code in addition to a written report/essay. The volume, timing and nature of assessment will enable you to demonstrate the extent to which you have achieved the intended learning outcomes.

Formative and summative feedback will be provided using a variety of methods and approaches, such as learning technologies and one to one and group presentations of the submitted work at various points throughout the teaching period.

Fees and key information

Course type
UCAS code D301
Entry requirements View

This course is subject to validation.

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Entry requirements

In addition to the University's standard entry requirements, you should have:

  • at least one A level (or a minimum of 32 UCAS points from an equivalent Level 3 qualification, eg BTEC Subsidiary/National/BTEC Extended Diploma)
  • English Language and Mathematics GCSEs at grade C/4 or above (or equivalent, eg Functional Skills at Level 2)

If you meet the UCAS points criteria but obtained a D/3 in English and/or Maths at GCSE you may be offered a University test in these areas.

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements.

If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

Modular structure

Module details to be agreed

Where this course can take you

This course will prepare you to work in the field of data analytics, data programming, data visualisation, IT data consultation, big data solution designing or data solution development. This degree award can put you in a position to apply to companies such as Facebook, Mastercard, Amazon, Microsoft or the BBC for roles such as Junior Data Scientist, Data Science Operational Officer or Associate Data Analyst. 

This course is also excellent preparation for further study or research.

What is a degree with foundation year?

This is a four-year degree course with a built-in foundation year (Year 0). It's the perfect route into university if you can't meet the necessary entry requirements or don't have the traditional qualifications required to start a standard undergraduate degree. You'll graduate with a full undergraduate degree with the same title and award as those who studied the traditional three-year course.

Discover Uni – key statistics about this course

Discover Uni is an official source of information about university and college courses across the UK. The widget below draws data from the corresponding course on the Discover Uni website, which is compiled from national surveys and data collected from universities and colleges. If a course is taught both full-time and part-time, information for each mode of study will be displayed here.

How to apply

If you're a UK applicant wanting to study full-time starting in September, you must apply via UCAS unless otherwise specified. If you're an international applicant wanting to study full-time, you can choose to apply via UCAS or directly to the University.

If you're applying for part-time study, you should apply directly to the University. If you require a Student visa, please be aware that you will not be able to study as a part-time student at undergraduate level.

When to apply

The University and Colleges Admissions Service (UCAS) accepts applications for full-time courses starting in September from one year before the start of the course. Our UCAS institution code is L68.

If you will be applying direct to the University you are advised to apply as early as possible as we will only be able to consider your application if there are places available on the course.

To find out when teaching for this degree will begin, as well as welcome week and any induction activities, view our academic term dates.

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