Data Science - BSc (Hons)
Holloway Campus, United Kingdom
Data Science - BSc (Hons)
London Metropolitan University
Data Science
Program Overview: BSc (Hons) Data Science at London Metropolitan University
The Data Science BSc (Hons) at London Metropolitan University 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 build a successful career in data science.
Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of carefully crafted modules prepared with your future career in mind. The course fosters your learning development using a range of tools and big data platforms, allowing you to specialise in data engineering, analytics, big data visualisation, statistical modelling, and machine learning.
The specialist nature of this course allows you to explore and experience advanced techniques in data science and data analytics. You will acquire practical skills, often gained first-hand from external organisations, which will prepare you for your future as a data scientist in a rapidly growing industry.
Key Program Highlights
- Industry-informed curriculum developed with input from data science professionals and covering programming, machine learning, and statistical modelling
- Designed by academics from both Mathematics and Applied Computing backgrounds for a well-rounded education
- Hands-on learning using real-world tools and big data platforms for practical experience
- Located in London, one of the global hubs for technology and data science employment opportunities
Curriculum & Modules
The BSc Data Science curriculum is structured across three years of study, progressing from foundational concepts to advanced specialisations. Modules are designed to build your technical skills incrementally while integrating practical application through projects and case studies.
Data Programming
30 creditsThis module introduces the fundamentals of programming for data science applications. You will learn to write code for data manipulation, cleaning, and processing using industry-standard programming languages.
Data Analytics
30 creditsThis module introduces methods of analysing data using appropriate statistical software. Descriptive statistics and statistical techniques useful for presenting, analysing, and making inferences about data are covered.
Machine Learning
30 creditsYou will explore supervised and unsupervised learning algorithms, model evaluation techniques, and practical applications of machine learning in real-world data science scenarios.
Data Visualisation
30 creditsThis module covers techniques and tools for creating meaningful visual representations of data. You will learn to communicate complex findings effectively through charts, dashboards, and interactive visualisations.
Business Intelligence
30 creditsThis module examines how organisations use data-driven insights to inform strategic decision-making. You will learn to work with BI tools and frameworks to extract actionable intelligence from large datasets.
Final Year Project
30 creditsYou will plan and carry out an independent project that may require solving a specific problem, creating an artefact in a real-world environment, or investigating innovative ideas and techniques within data science.
Elective Modules
Admission Requirements
London Metropolitan University welcomes applications from students with diverse academic backgrounds. To apply for the BSc (Hons) Data Science, you should meet the academic and language requirements outlined below. All applications and inquiries are handled through Uni4Edu.
Academic Requirements
- A-LevelsMinimum grade C in three A-levels (or minimum 96 UCAS points from equivalent Level 3 qualification)
- BTECBTEC Level 3 Extended Diploma, Advanced Diploma, or Progression Diploma accepted
- Access CourseAccess to Higher Education Diploma of 60 credits accepted
- GCSE RequirementsEnglish Language and Mathematics at grade C/4 or above (or equivalent)
- Professional ExperienceApplicants with relevant professional qualifications or extensive professional experience will also be considered
English Language Requirements
- IELTS AcademicOverall 6.0 with minimum 5.5 in each component (Listening, Reading, Writing, Speaking)
- TOEFL iBTOverall 72 (Listening 17, Reading 18, Writing 17, Speaking 20)
- Pre-sessional EnglishA Pre-sessional Academic English course is available if you need to improve your English before starting your degree
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
London Metropolitan University offers a range of scholarships designed to support international students financially. Many of these awards are applied automatically, so you may not need to submit a separate application. Contact Uni4Edu for guidance on eligibility and how to maximise your funding.
International Bright Futures Scholarship
Automatically applied to eligible international fee-paying students starting a full-time undergraduate or postgraduate degree. This scholarship provides a tuition fee reduction for the duration of your studies and can be combined with select other awards.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the BSc Data Science programme are well-prepared for rewarding careers in the data science and big data industries, as well as in the many sectors and organisations that increasingly require skilled data scientists. The programme also provides excellent preparation for further postgraduate study or research.
Potential Job Roles
Potential Employers
Rankings & Recognition
London Metropolitan University is recognised in several major global and national ranking systems. The university continues to build its reputation with a focus on inclusive education, employability, and student support across its diverse academic community.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | EduRank | #90 in UK |
| Business | THE Subject Rankings | #301-400 |
| Social Sciences | THE Subject Rankings | #501-600 |
| Nutrition & Food Science | The Guardian | #7 in UK |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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