Program Overview

Data Science - BSc (Hons)

The Data Science BSc course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning, and data visualisation. Developed with input from industry experts, this course covers all the necessary skills and competencies required to delve deeper into this fascinating field.

Why Study This Course?

This course will prepare you to work as a data analyst or in the fields of data programming, data visualisation, IT data consultation, big data solution designing, or data solution development. You will gain a comprehensive understanding of data programming, statistical modelling, business intelligence, machine learning, and data visualisation.

Course Details

• Entry Requirements: In addition to the University's standard entry requirements, you should have a minimum grade C in three A levels (or a minimum of 96 UCAS points from an equivalent Level 3 qualification) and English language and Mathematics GCSEs at grade C/4 or above.
• Accreditation of Prior Learning: Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met.
• English Language Requirements: To study a degree at London Met, you must be able to demonstrate proficiency in the English language.

Assessment

You will 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, and 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.

Career Opportunities

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.

Course Modules

The modules listed below are for the academic year 2025/26 and represent the course modules at this time. Modules and module details (including location and time) are subject to change over time.

• Year 1 Modules:
  • Data Analysis
  • Financial Mathematics
  • Fundamentals of Computing
  • Introduction to Information Systems
  • Logic and Mathematical Techniques
  • Programming
• Year 2 Modules:
  • Data Analytics
  • Data Engineering
  • Databases
  • Professional and Ethical Issues
  • Programming with Data
  • Smart Data Discovery
  • Statistical Methods and Modelling Markets
• Year 3 Modules:
  • Artificial Intelligence and Machine Learning
  • Career Development Learning
  • Data and Web Development
  • Project
  • Artificial Intelligence and Big Data in Business
  • Big Data and Visualisation
  • Cryptography and Number Theory
  • Project Analysis and Practice

Additional Information

Please note that, in addition to the tuition fee, there may be additional costs for things like equipment, materials, printing, textbooks, trips, or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful.