BSc (Hons) Data Science Bachelor's degree at London Metropolitan University
BSc (Hons) Data Science at LMU is taught in English and leads to a nationally recognised Bachelor's degree. The university holds Silver status for teaching quality in the Office for Students' TEF 2023 and is ranked #129 overall in the Complete University…
About this course
Data Science | BSc Degree | London Metropolitan University --> { "@context": "https://schema.org", "@graph": [ { "@type": "Course", "name":" ", "description":"London Met's Data Science BSc degree course provides you with the skills necessary to start your career as a data analyst. From the provider’s course page.
BSc (Hons) Data Science is a Bachelor's degree (BSc (Hons)) at LMU, based in North. It is studied part-time; duration varies by route.
For Computer science graduates from this provider, typical earnings around £30,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2021-23. Continuation 75% (2021-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 6 modules
- Data AnalysisCore15 credits
Module details
This module introduces methods of analysing data using appropriate statistical software. Descriptive statistics and statistical techniques that are useful to present, analyse and make inferences about data are also introduced. A selection of suitable software (e.g. Excel, SPSS, R) will enable students to analyse data in order to make informed decisions.
- Financial MathematicsCore15 credits
Module details
This module develops the mathematical and statistical tools that are used in the mathematics of finance. This module introduces the basic terminologies used in finance and develops the mathematical techniques to solve real-life problems in finance. The module will provide an introductory knowledge of Excel, and Excel built functions in financial computing. The application of suitable software (e.g. Excel) will enable students to solve financial problems in order to draw valid conclusions and mak
- Fundamentals of ComputingCore15 credits
Module details
Students will receive an introduction to the principles of information processing and an overview of the information technologies for digital data processing using computational and communication devices, including an initial understanding of the requirements for usability, quality, complexity, security and privacy of the developed solution. The students will obtain initial practical skills in modelling, design, implementation and testing of software systems for real-world application using a su
- Introduction to Information SystemsCore15 credits
Module details
Students will receive an introduction to the business environment and the role of information management and information systems within business. The module develops an understanding of the Information Systems, the Software Development process and the basic technology underpinning these systems. This will include database management systems and the Internet. Students which will develop key skills and knowledge in the aspects of an information system, including databases, websites, and scripts wi
- Logic and Mathematical TechniquesCore30 credits
Module details
This module develops a range of mathematical techniques including set theory, logic, relations and functions, algebra, differentiation and integration. The techniques provide the foundation for further study of mathematics and related applications in Computer Science, Computer Games Programming, Computer Systems Engineering and Robotics and Electronics and Internet of Things.
- ProgrammingCore30 credits
Module details
This is an introductory programming module, designed to develop interest, ability and confidence in using a programming language. Students will gain the basic knowledge and experience to solve simple programming problems using established techniques in program design, development and documentation. It is expected that on completion of this module, students will be able to design, implement and test object-oriented programs. The student is also expected to develop their confidence needed to progr
Year 2 7 modules
- Data AnalyticsCore15 credits
Module details
This module introduces fundamental concepts and techniques of data analytics. The module covers descriptive statistics for exploratory data analysis, correlation analysis and linear regression model. A substantial practical element is integrated into the module to enable students to apply data analytics techniques for real world data analytical problems.
- Data EngineeringCore15 credits
Module details
This module provides an understanding of data engineering concepts, techniques and tools. It covers the basics of data modelling, storage, retrieval, and processing for data analysis needs. The module aims to provide a set of building blocks through which a complete architecture for modelling, storing and processing data can be constructed. It aims to enable students to apply the practical skills of data engineering techniques in the real world.
- DatabasesCore15 credits
Module details
Introduces techniques for analysing, designing and implementing database systems. An understanding of data modelling and design concepts is provided, and database programming language skills are taught. The practical aspect of developing database systems is emphasised, and use is made of a widely used commercial database system (e.g., Oracle) for this purpose. The module will enable students to introduce the issues governing the design and implementation of database systems.
- Professional and Ethical IssuesCore15 credits
Module details
This module focuses on professional, social, ethical issues within the context of social responsibility and covers relevant computer laws (LSEPI) underpinning the Computing discipline. The focus of the module is empowering student to take their place in society as socially responsible professionals and allowing the exploration of self-awareness, empathy, self-efficacy and engagement in students
Assessment: Coursework (100%)
- Programming with DataCore15 credits
Module details
The module is designed to introduce data programming through various programming concepts related to data. The module covers data structures, selection, iteration, data input and output with error handling. In particular the module focuses on creating data science solutions for business applications. Programming language Python is integrated into the module practical element to prepare, analyse, process and present data science solutions.
- Smart Data DiscoveryCore15 credits
Module details
This module will enable students to understand the fundamental concepts of data science and appreciate key techniques of data science and its applications in a wide range of business context. Students will be exposed to data understanding, preparation, modelling, results evaluation and data visualisation techniques that can assist businesses in making effective data-driven decisions to improve productivity and consumer satisfaction.
- Statistical Methods and Modelling MarketsCore30 credits
Module details
The module covers mathematical and statistical modelling techniques that are applied in making decisions in areas of finance. It also enables the student to investigate real-life statistical data. This module introduces important financial concepts and develops statistical modelling techniques. Statistical regression models are applied to financial data (e.g., credit scoring, default time analysis) and mathematical modelling of stock and option prices is investigated. A selection of suitable sof
Year 3 1 modules
- Artificial Intelligence and Machine LearningCore15 credits
Module details
This module surveys essential principles, methods, and techniques in AI and machine learning. It covers a broad range of AI topics such as problem solving, knowledge representation, logical and probabilistic inference, and machine learning using methods of automata theory, logics, probability theory and statistics. It discusses examples of intelligent systems and studies how to develop applications that can learn from experience such as expert systems, automatic classifiers and autonomous system
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
You'll study the core technical and mathematical foundations of data analysis and software development. A course like this typically starts with Programming Fundamentals (in languages such as Python and Java) and Computer Systems & Architecture, alongside Discrete Mathematics for Computing. In Year 2, you'll usually move to Algorithms & Data Structures, Databases & Software Engineering, and Artificial Intelligence & Machine Learning. Year 3 normally introduces specialist options (such as Artificial Intelligence, Cybersecurity, Data Science, Software Engineering, Systems & Networks, or Human-Computer Interaction), alongside Security & Networks and an individual supervised project in which you build and evaluate a substantial software system.
Who it's for
This course suits those seeking to develop expertise in data science and computational methods whilst maintaining work or other responsibilities, given its part-time structure. It is designed for students aiming to enter or progress within the computer science field, whether from a technical background or through transition from related disciplines. The part-time format makes it accessible to mature students and career-changers.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study 15 months after graduating. Of those working, 75% are in highly skilled roles or undertaking further study. National graduate earnings data shows starting salaries (at 15 months) typically range from £25,000 to £35,000, rising to £29,750–£42,000 after five years. These figures reflect outcomes across the sector rather than guarantees specific to this institution or programme.
University & format
This degree is studied part-time at London Metropolitan University, a public university located in the North. Instruction is in English. As a recognised UK degree-awarding body, London Met's degrees are nationally recognised. The university holds a Silver award for teaching quality in the Office for Students' TEF 2023 and is. The university also offers bursaries and scholarships; consult the funding pages for full details.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
Part-time application dates vary by provider. UCAS dates
See and book current events. Dates can fill or change.
Opened 2 July 2026; last choice 19 October 2026. Check vacancies now. A cached page never claims a place is still available.
Entry & how to get in
Entry & your chances
An honest read from the official entry data, plus your personal match.
Entry is set by the university and based on your offer. Use your predicted grades to see how you compare, then check the university's stated requirements.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code D300). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by Apply directly to the provider
Part-time application dates vary by provider. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at LMU →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £30,000 | £25,000 – £39,500 | 265 |
| 3 years after | £25,500 | £19,000 – £39,000 | 15 |
| 5 years after | £29,500 | £19,500 – £36,000 | 15 |
Nominal earnings for graduates of this course/subject at this provider. Stronger evidence. Published sample: 265. Cohort 2021-22.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
continued or completed
continued into the next year or completed their qualification
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2021-23. Stronger evidence. Published sample: 265. Cohort 2021-22. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
Most graduates were in work or further study, with a median salary of £30,000. See the full breakdown in Careers & earnings above.
Official-data snapshot
Averaging the official measures published for it, this course scores 7.1 out of 10: NSS 66.6% · continued 75%.
Who studies here and in this subject?
Provider- and UK subject-level context.
London Metropolitan University
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around North
5,613 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to LMU from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by LMU; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check LMU’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with LMU and gov.uk before you apply.
Related courses
More at LMU
Common questions
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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