BSc (Hons) Data Science (Distance Learning) · HuddersfieldBachelor's degree · 3 years
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BSc (Hons) Data Science (Distance Learning) Bachelor's degree at Huddersfield

BSc (Hons) Data Science (Distance Learning) at Huddersfield. The University of Huddersfield is a public university recognised as a UK degree-awarding body, so your qualification will be nationally recognised.

BSc (Hons)
Award
3
Years
Full-time
Study mode
85%
in work/study (15m)

About this course

Data Science (Distance Learning) BSc(Hons) - University of Huddersfield honeypot link Data Science (Distance Learning) BSc(Hons) Apply Now How to Apply Sign Up for Emails Select the year 2026-27 2027-28 Start Dates 14 September 2026, 25 January 2027 Duration 3 years full-time 6 years part-time UCAS Tariff 104 points Re From the provider’s course page.

BSc (Hons) Data Science (Distance Learning) is a Bachelor's degree (BSc (Hons)) at Huddersfield. It runs 3 years, studied full-time.

For Information systems graduates from this provider, 85% were in work or further study 15 months after graduating, 85% in highly skilled roles, typical earnings around £24,000. (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.

8.7
/ 10
Excellent
3 of 3 official measures
Student satisfaction
What students say in the National Student Survey
Excellent86

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)

Graduate outcomes
In work or further study 15 months after graduating
Excellent85

Limited evidence Published sample: 15; treat comparisons cautiously. Cohort 2021-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)

Continuation
Students who continue past their first year
Exceptional90

Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 90% (2022-23; 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 5 modules
  • CalculusCore
    Module details

    In this module, you will dive into the essential concepts of differential and integral calculus - the basis of many advanced analytical techniques. Learn how to calculate derivatives and integrals, and explore applications of integration to real-world problems. You'll also discover how to solve first and second order differential equations with constant coefficients - crucial for modelling dynamic systems and understanding patterns in data.

  • Probability Theory and Statistical AnalysisCore
    Module details

    This module provides you with a comprehensive introduction to the mathematical foundations of probability and statistical methodology, essential for understanding and analysing data in a range of real-world contexts. You will learn how to apply appropriate statistical techniques to solve problems, interpret results and draw meaningful conclusions. Core topics include probability spaces, conditional probabilities, Bayes theorem, discrete and continuous random variables, statistical distributions,

  • Linear AlgebraCore
    Module details

    This module introduces fundamental concepts in linear algebra – a key area of mathematics for understanding data structures, algorithms and computational methods. This module will provide you with a thorough grounding in matrix theory, including properties of matrices (determinant, rank, inverse etc.) and their use in solving systems of linear equations. Topics include existence, ill-conditioning, linear dependence, orthogonality, QR factorisation, Cholesky factorisation, LU factorisation and ot

  • Computing Science and MathematicsCore
    Module details

    In this module, we introduce you to basic computing science and mathematical concepts related to software development. You will explore topics such as set theory, graphs and trees, finite state machines, grammars and languages, propositional logic and searching and sorting algorithms. You'll put the theory into practice, gaining hands-on experience using a programming language and software that lets you directly implement finite state machines.

  • Programming for Data ScienceCore40 credits
    Module details

    This module aims to introduce you to fundamental programming concepts, using a programming language that is widely adopted for data analytic workflows. In the first part of this module, you will gain knowledge in core programming elements and constructs, followed by an introduction to programming packages and modules that are designed for basic data processing and analytic tasks.

Year 2 5 modules
  • Data Analytics in the Age of Big DataCore
    Module details

    This module is designed to provide you with the opportunity to explore large data sets and big data analytical systems in depth. You'll gain experience working with big data technologies and develop the skills needed to analyse and interpret large, complex datasets commonly found in real-world professional settings.

  • Data Analysis in PracticeCore
    Module details

    This module provides you with the opportunity to investigate multivariate systems in depth, essential for understanding complex, real-world data. You'll develop the skills and experience to formulate and apply statistical models and execute techniques associated with multivariate analysis on data sets, preparing you to tackle data challenges commonly faced in professional environments.

  • Introduction to Artificial IntelligenceCore
    Module details

    What does it mean for a machine to be intelligent, and how close are we to achieving it? In this module, you will delve into the intriguing question of whether machines, particularly computers, can truly be intelligent, and if so, what does that means in practical terms? In the first half, you'll focus on environments where everything is predictable, like laboratory conditions or puzzle-solving scenarios exploring how machines represent knowledge, solve problems, and plan actions under these idea

  • Advanced Statistical MethodsCore
    Module details

    Building on your foundational knowledge of statistics, this module introduces a range of advanced statistical techniques, which can be used to help solve real-life problems involving the analysis of data and interpretation of results. You will explore sampling theory and estimation of mean and variance, hypothesis testing, significance testing, measures of independence and goodness of fit. You will also study linear, multiple and stepwise regression, correlation and analysis of variance tests. T

  • Algorithms and Data StructuresCore
    Module details

    In this module, we'll support you in enhancing your programming skills to cover a range of standard data structures (such as lists, trees and graphs) and algorithms (including searching, sorting and traversals) for both sequential and concurrent systems. You will also study how to analyse systems to determine their complexity, correctness and safety, and to calculate their efficiency.

Year 3 5 modules
  • Machine and Deep LearningCore
    Module details

    In this module, you will explore how recent advances in information technology have paved the way for data-driven Artificial Intelligence (AI). You'll gain a solid understanding of cutting-edge machine learning techniques used to build intelligent systems that can recognise, classify and make decisions. You'll examine widely used approaches like deep learning, and investigate their typical applications as well as their limitations. Along the way, you'll learn how to select the right techniques f

  • Text Analytics and Language ProcessingCore
    Module details

    Recent advances in information technology have enabled the extensive collection of textual data across various domains, driving significant developments in text analytics and natural language processing (NLP) approaches. During this module, you'll gain a fundamental understanding of these approaches, particularly advanced techniques for processing and analysing textual data to extract meaningful insights. We will explore several widely known methods, including text classification, clustering, an

  • Database Applications for Big DataCore
    Module details

    The exponential growth of digital data is transforming how organisations manage and utilise information. In this module, you will explore why traditional databases are no longer sufficient to meet modern demands and discover alternative data modelling techniques. You'll dive into approaches including hierarchical, network, object-oriented and object-relational models, gaining a clear understanding of their applications and benefits. By the end of the module, you'll be equipped with the knowledge

  • Leadership in Data ScienceCore
    Module details

    In this module, you will explore how data science has revolutionised the way organisations harness data to achieve business success. You'll examine how data analytics can shape business strategies, uncover opportunities for innovation, and deliver a competitive edge. The module highlights the importance of planning, executing and managing data science projects using agile methods and project management tools. You'll also develop the skills to lead and collaborate with cross-functional teams, ens

  • Individual ProjectCore
    Module details

    This module offers you the opportunity to study and investigate a specific mathematical topic in depth, providing you a hands-on experience in carrying out a mathematical project, mirroring the process that would take place in a professional environment. You will be allocated a project supervisor who will direct you through the process of developing project objectives, project planning, performing background research, and carrying out the project work to a satisfactory conclusion. The project wi

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 how to collect, analyse and interpret data using programming and statistical methods. A course like this normally moves from programming fundamentals and computer systems in Year 1, through algorithms, databases and machine learning in Year 2, to specialist options and a supervised project in Year 3. You'll usually develop practical skills in languages such as Python and Java, and explore how to build and evaluate data-driven solutions. Specialisations such as artificial intelligence, cybersecurity, software engineering and human-computer interaction allow you to focus on areas relevant to your interests.

Who it's for

Half of recent entrants held another higher-education qualification before starting. Accepted students typically had a UCAS tariff between 144 and 159 points. The course is taught in English and delivered full-time via distance learning, so you'll need to manage your own study schedule alongside other commitments.

Careers & job market

Across Computer Science courses nationally, 85% of graduates were in work or further study 15 months after graduating. Of those working, 75% were 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; after 3 years, £23,375 to £33,000; and after 5 years, £29,750 to £42,000. These figures reflect national outcomes, not a guarantee for any individual.

University & format

This BSc (Hons) is offered by the University of Huddersfield, a public university. The course is 3 years full-time (or 6 years part-time). Study is distance-based and taught in English. The degree is nationally recognised and the university holds Gold for teaching quality in the Office for Students' TEF 2023.

Student satisfaction

How students on this course answered the National Student Survey, by theme.

The teaching on my course
78%
Learning opportunities
86%
Assessment and feedback
80%
Academic Support
80%
Organisation and management
85%
Learning resources
93%
Student voice
97%

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.

Application timelineWhat happens next
  1. 2027 entryCompleted applications can be submitted

    Your application needs a reference before you can send it.

  2. 2026 entryFinal date for 2026 applications

    Applications must reach UCAS by 18:00 UK time.

  3. 2026 entryLast day to add a Clearing choice

    Check that this course still has a vacancy before adding it.

  4. 2027 entryEqual-consideration deadline

    18:00 UK time for most undergraduate courses.

Show 5 later dates
  1. 2027 entryUCAS Extra opens

    Applicants who used all five choices and hold no offer may be able to add another choice.

  2. 2027 entryLast day applications go directly to providers

    Applications received after 18:00 UK time are entered into Clearing.

  3. 2027 entryClearing opens

    Eligible applicants can see vacancies and release themselves into Clearing.

  4. 2027 entryFinal date for 2027 applications

    Applications must reach UCAS by 18:00 UK time.

  5. 2027 entryLast day to add a Clearing choice

    Check that this course still has a vacancy before adding it.

Published entry104 UCAS tariff points typical offer · STEM subject (Mathematics, Engineering, Computer Sciences, Physics, Chemistry or Biology) · English: IELTS 6.0 overall with no element lower than 5.5

Provider-published requirement; check the linked course page before applying.

PlacementPublished placement option

Placement year. Availability, selection and pay can vary.

Open daysbook on to an Open Day

See and book current events. Dates can fill or change.

Entry & how to get in

Typical offer (from the provider)The university’s course page lists a typical A-level offer of 104 UCAS tariff points STEM subject (Mathematics, Engineering, Computer Sciences, Physics, Chemistry or Biology) and around 104 UCAS points. Always check the provider for the current offer and subject requirements.
English languageThis course lists IELTS 6.0 overall with no element lower than 5.5 (or equivalent). See the International students section below for the full picture.
Most entrants held another higher-education qualification50% of accepted students came in with another higher-education qualification (entrants over recent years).
Typical UCAS tariff: 144 - 159 pointsThe most common UCAS tariff band among accepted students. This is what entrants had, not a stated requirement.
Entry requirements are set by the universityGrades, subjects and contextual offers vary. Check Huddersfield's official course page for the current offer.

Who gets in

What recently admitted students actually held, official admissions data, not a stated requirement.

UCAS tariff of entrants

Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.

Qualifications held on entry

QualificationShare
another higher-education qualification50%
A-levels or equivalent45%
an Access course5%

Entry & your chances

An honest read from the official entry data, plus your personal match.

Competitive entry

Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.

Will you get in? Plot your grades

Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.

Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.

Add your grades to see where you land

Your points will drop onto the distribution above, with an honest above / within / below read.

Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.

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.

Apply by13 January 2027, 18:00 UK timefor this course
Typical gradesA*AAA-level equivalent admitted students held
  1. 1
    Register on UCAS Hub

    Create your UCAS application and add this course. One application covers up to five choices.

  2. 2
    Write 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.

  3. 3
    Submit by 13 January 2027, 18:00 UK time

    UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.

  4. 4
    Reply to your offers

    When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.

  5. 5
    Results 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.

💡 Many universities make a contextual (reduced-grade) offer, for example based on your school’s results, time in care, or where you live. Ask Huddersfield whether you’re eligible before you apply; it can lower the grades you need.

Fees & funding

What this course costs and how UK student finance covers it.

Tuition per year

Homeup to £9,790 / yr
International£17,500 / yr

Provider fee page (England 2026/27 cap where not stated).

Check fees at Huddersfield →

For students who normally live in England

illustrative Maintenance Loan per year
£9,790tuition used per year, illustrative full-time England fee-cap scenario
illustrative borrowing over 3 years

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.

Funding matched to this course

Scholarships & bursaries you could qualify for

All Huddersfield funding →

Named awards published by the university. Compare the eligibility and application route before budgeting for one.

Amounts, exclusions and deadlines can change. An award is not guaranteed unless the university confirms it.

StudyKit · free

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.

Career quizApplication walkthroughSalary & CV check

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

WhenMedianTypical rangeGraduates
15 months after£24,000£23,000 – £25,00015
3 years after£26,500£21,000 – £34,50080
5 years after£32,000£23,500 – £43,00080

Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2021-23.

Graduate outcomes, 15 months on: this course

85%
in work or further study 15 months on
85%
in highly skilled work or study
90%
continue past their first year
90%
find their work meaningful
85%
say work fits their future plans
  1. 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
  2. 2Software EngineerShipping features end-to-end · 2–5 yrs
  3. 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
  4. 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs

How pay grows: this course vs Computer Science nationally

Starting (15 months) HESA GO
£24,000
£25,000 – £35,000
After 3 years LEO
£26,500
£23,375 – £33,000
After 5 years LEO
£32,000
£29,750 – £42,000
national rangethis course’s medianaxis £22,000 – £43,500

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.

85 of 100

were in work or further study

15 months after graduation

65% working10% working and studying10% in further study85% in highly skilled work or study

Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 15; treat comparisons cautiously. Cohort 2021-23. 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.

This course £32,000Peer median £34,500Middle 50% £29,000–£43,000
39th percentile

Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.

UK occupations graduates enter

Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.

  • Business and public service associate professionalsSOC 2020 35 · 35% of published destinations · ASHE median £38,760
  • Science, engineering and technology associate professionalsSOC 2020 31 · 30% of published destinations · ASHE median £34,828
  • Information Technology ProfessionalsSOC 2020 213 · 20% of published destinations · ASHE median £55,357

Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 35; response rate: 70%. Pay describes the occupation across workers, not a guaranteed graduate salary.

Job market & outlook

How Computer Science graduates fare in the labour market, and how AI is reshaping the work.

85%
in work or further study 15 months after graduating, across Computer Science courses nationally.
Graduate Outcomes
75%
of working graduates are in highly skilled work or further study.
highly skilled
85%
of students continue past their first year (still enrolled or completed).
continuation

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.

Where they work

  • Tech companies
  • Banks & fintech
  • Consultancies
  • Government (GDS) & startups

Is 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

85% were in work or further study 15 months after graduating, with a median salary of £24,000. See the full breakdown in Careers & earnings above.

🎯

Your entry chances

Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.

Official-data snapshot

Averaging the official measures published for it, this course scores 8.7 out of 10: NSS 85.6% · in work or study 85% · continued 90%.

Who studies here and in this subject?

Provider- and UK subject-level context.

The University of Huddersfield

All students16,360
International18.2%
Aged 25+28.6%

Computing across the UK

Students205,990
Aged 25+31.2%

HESA student record 2024/25. Counts are rounded.

Is Computer Science right for you?

Tick what applies to you and see how good a fit it is.

International students

What applying to Huddersfield from outside the UK involves: fees, English, visa, funding and living costs.

Tuition fees

International tuition is £17,500 / year for this course (from the provider’s fee page). You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.

English language

This course lists IELTS 6.0 overall with no element lower than 5.5. 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 Huddersfield’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 Huddersfield and gov.uk before you apply.

Common questions

Entry is competitive. Accepted students typically held strong UCAS tariffs. The most common tariff band among recent entrants was 144 - 159 UCAS points. Use the calculator on this page to see where your predicted grades would put you; many universities also make lower contextual offers.
Set by Huddersfield. Most accepted students held another higher-education qualification. Check the university's course page for the exact offer.
For Information systems graduates from this provider, 85% were in work or further study 15 months after graduating, 85% in highly skilled roles, typical earnings around £24,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
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. See Fees & funding on this page to work out your numbers.
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