BSc (Hons) Computer Science · Essex OnlineBachelor's degree · Duration varies
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University of Essex Online · Undergraduate

BSc (Hons) Computer Science Bachelor's degree at Essex Online

BSc (Hons) Computer Science at Essex Online. The university achieved Silver in the Office for Students' Teaching Excellence Framework 2023.

BSc (Hons)
Award
Years
Part-time
Study mode
UK
Location

About this course

This 100% online BSc (Hons) Computer Science gives you the knowledge required to succeed in the rapidly growing field of computing. From the provider’s course page.

BSc (Hons) Computer Science is a Bachelor's degree (BSc (Hons)) at Essex Online. It is studied part-time; duration varies by route.

For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.

Curriculum & modules

Real modules published for this course, grouped only where the source gives a year, stage or level.

Level 4 8 modules
  • Research and professional practiceCore15 credits
    Module details

    Develop the fundamental skills required to engage in research activities, project management and professional conduct. This module incorporates relevant themes – including how to adopt sustainable development goals, minimise impact and promote social responsibility. You'll also begin building your entrepreneurial skills and understanding of research methodologies through theoretical discussion, practical exercises and real-world case studies.

  • Introduction to maths and statisticsCore15 credits
    Module details

    How do maths and statistics affect decision making in sustainable practices? Find out in this informative module. From summary statistics, hypothesis testing and linear algebra, to permutations, probability and parametric and non-parametric tests, you'll cover a range of mathematical and statistical applications. And by the end, you'll have a strong understanding of how they're integral to the role of a computer scientist.

  • Fundamentals of programmingCore15 credits
    Module details

    Gain a comprehensive introduction to programming. By writing, testing and debugging through Python, you'll develop a strong understand of coding and the impact on software development. There's also a strong emphasis on inclusive and sustainable software, as you explore the role of software in society and beyond.

  • Object-oriented programmingCore15 credits
    Module details

    Ready to discover the fundamental principles of object-oriented programming (OOP) and their application in software development? From inheritance and polymorphism to encapsulation and abstraction, this module introduces key OOP concepts and techniques, giving you a solid foundation for a future career in computing. There's also a strong focus on sustainability, as you consider resource-conscious software solutions to reduce energy consumption and waste.

  • Introduction to data modellingCore15 credits
    Module details

    Discover how to work with data in this exciting module. You'll analyse the key concepts of SQL – such as relations, keys and normalisation – through the design and implementation of relational databases, ensuring you have a solid understanding of database design principles.

  • Web application developmentCore15 credits
    Module details

    Gain an in-depth knowledge of web application development. From conceptualisation to deployment, you'll learn about the entire web application development lifecycle – ensuring you develop the essential skills to build modern web applications and foster strong entrepreneurship.

  • Fundamentals of networksCore15 credits
    Module details

    This comprehensive module introduces you to the fundamentals of computer networking. You'll explore network architecture, protocols, models, services and security considerations – helping you gain the skills needed for a successful career in computing. Workshop sessions also allow you to build hands-on experience in configuring network devices and implementing solutions for various applications.

  • Digital systems fundamentalsCore15 credits
    Module details

    How do you navigate the complexities of digital computer systems? Find out in this informative module on hardware components and low-level software. Through hands-on exercises incorporating binary arithmetic and logic circuit design, you'll gain an in-depth understanding of the fundamental structure and operation of digital computers. And by doing so, you'll develop key practical skills to succeed in computer science.

Level 5 8 modules
  • Research and professional practice 2Core15 credits
    Module details

    Build the skills you need to succeed in your future computing career. Following a team-based projects framework, you'll choose a team project that aligns with specific attributes that fit with your chosen topic. That way, you'll develop a strong understanding of various professional competencies and ethical standards in project development.

  • Software engineering fundamentalsCore15 credits
    Module details

    Discover the key concepts of software engineering in this exciting module. From design and implementation to testing, deployment and maintenance, you'll explore the entire software development life cycle – as well as how to leverage technology to develop energy-efficient software. And through real-world case studies, you'll develop core skills to succeed in any computing role.

  • Application programmingCore15 credits
    Module details

    Hone your advanced Java programming skills with this core module. There's a particular focus on database interaction and graphical user interfaces (GUIs) – as well as core Java application frameworks and the effective use of Java collections – to help you learn how to develop complex Java applications with interactive GUIs utilising design patterns. You'll also gain an understanding of how to address challenges in practical application development projects.

  • Data structures and algorithmsCore15 credits
    Module details

    Learn to think as a computer scientist. Data structures and algorithms are the basis for problem solving in computing, so you'll build on the skills developed in the previous level – by exploring algorithm analysis, basis computability and data structures such as stacks, trees and graphs. By the end, you'll have a strong understanding of core data types in Python, as well as how to write, explain and analyse commonly used algorithms and their application.

  • Web application programmingCore15 credits
    Module details

    This immersive module emphasises the importance of dynamic web application development and database management. From server-side programming through PHP to database management via MySQL, you'll explore all aspects of web programming concepts – ensuring you have the skills to create and maintain various web solutions.

  • Introduction to AICore15 credits
    Module details

    Artificial intelligence is a rapidly growing area – and this module offers an introduction to all facets of AI. You'll explore the methodologies and techniques of search algorithms, knowledge representation and learning mechanisms – as well as the role of AI in computer games and robotics. And at the end, you'll gain an in-depth understanding of systems built upon interacting intelligent agents.

  • Computer securityCore15 credits
    Module details

    Gain a thorough introduction to cybersecurity with this informative module. Through hands-on exercises and real-world case studies, you'll explore cryptography, user authentication, operating system security, malware forensics and more – ensuring you're well prepared for a career in this sector.

  • Introduction to data scienceCore15 credits
    Module details

    Did you know data science plays a key role in medicine, climate science and business analytics? Discover the fundamental concepts of this rapidly growing field, as you explore key tools and techniques – as well as ways to analyse both textual and numerical data. By the end, you'll have developed strong analytical skills and be ready to explore various application domains where data science is relevant.

Level 6 6 modules
  • Capstone projectCore45 credits
    Module details

    The Capstone project gives you the chance to demonstrate the academic knowledge you've gained throughout your degree. You'll carry out a significant piece of independent research or an extensive practical project – showing off your creativity, innovation, and academic and professional abilities. You'll also carry out meticulous research and present your findings in a professional setting.

  • Advanced programmingCompulsory15 credits
    Module details

    Develop your programming skills in this comprehensive module. From multiprocessing, threads and messaging, to input/output operations, remote method invocation, web services and server architecture, you'll gain a thorough introduction to various programming topics – while honing your use of cloud technologies, such as Google Cloud.

  • Information retrievalCompulsory15 credits
    Module details

    Discover how to design energy-efficient information retrieval (IR) systems in this inspiring module. You'll learn all about the theoretical foundations of IR systems – such as text processing, indexing and querying – while considering how to minimise the carbon footprint of digital information processing during design and development. That way, you'll have a strong understanding of the role IR systems in building environmentally responsible systems that drive social and economic value.

  • Natural language processingCompulsory15 credits
    Module details

    How do computer programs perform everyday language tasks? Find out in this exciting module. You'll be introduced to the three fundamental concepts of natural language processing (NLP): understanding the structure and grammar of language; considering language processing tasks that are simple for humans but challenging for computers; and using intelligent computing techniques to solve these challenges.

  • Computer visionCompulsory15 credits
    Module details

    This module helps you gain practical experience in basic computer vision tasks. By actively writing computer programs to tackle various vision tasks – and exploring core principles and methods through visual data – you'll begin building your own practical skills and experience in this area.

  • Network securityCompulsory15 credits
    Module details

    Learn how to keep computer networks safe from cyber-attacks in this informative module. You'll begin by exploring the principles, techniques and tools used to secure computer networks – before moving on to network analysis, threat assessment and cryptographic approaches, and how these apply to real-life scenarios.

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 computing from foundations to specialist depth. A course like this typically progresses from core programming and computer systems in Year 1, including imperative and object-oriented programming, hardware and operating systems, and the discrete mathematics underpinning algorithms, through to algorithms, data structures and software engineering in Year 2. Year 2 usually introduces artificial intelligence and machine learning alongside database design. Year 3 normally narrows to specialist options such as artificial intelligence, cybersecurity, data science, software engineering, systems and networks, or human-computer interaction, culminating in a substantial individual software project. Throughout, you'll develop skills in writing, debugging and evaluating systems in team settings.

Who it's for

This course suits working professionals and those seeking flexible study options. Part-time delivery allows you to balance learning with employment or other commitments. It's designed for anyone with an interest in computing who wants a nationally recognised degree without full-time campus attendance.

Careers & job market

Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of completing their degree, with 75% of working graduates in highly skilled roles or further study. National earnings data shows Computer Science graduates starting at £25,000–£35,000 (15 months post-graduation), rising to £29,750–£42,000 after five years.

University & format

This BSc (Hons) Computer Science is delivered 100% online by University of Essex Online, a recognised UK degree-awarding body whose degrees are nationally recognised. The course is studied part-time in English. It carries a Silver award for teaching quality in the Office for Students' Teaching Excellence Framework 2023.

Applicant information

The next application dates for this course, followed by facts the provider publishes.

2027 entry deadlineApply directly to the provider

Part-time application dates vary by provider. UCAS dates

2026 entryLive availability check

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 requirements are set by the universityGrades, subjects and contextual offers vary. Check Essex Online's official course page for the current offer.

Entry & your chances

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

Offer-based entry

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.

Apply byApply directly to the providerfor this course
  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 Apply directly to the provider

    Part-time application dates vary by provider. 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 Essex Online 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

International£20,987 / yr

Provider fee page. The cap depends on the UK nation the provider sits in; the provider's page is authoritative.

Check fees at Essex Online →

Check the finance route that applies to you

Support depends on ordinary residence, assessed fee status, course and provider nation. The provider nation is unresolved here, so no national cap or loan amount is being guessed.

Find your official student-finance route →

Paying for it

  • Tuition fee loan: applied for through the student-finance body for the UK nation you live in.
  • Living-cost support: means-tested on household income, from your nation's student-finance body.
  • Repayment: only above the income threshold set by your nation's student-finance system.
  • Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.

Each UK nation runs its own student-finance system; check gov.uk for the rates that apply to you.

Funding matched to this course

Scholarships & bursaries you could qualify for

All Essex Online funding →
No verified named award is shown for this provider yet.

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.

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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.

  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
£25,000 – £35,000
After 3 years LEO
£23,375 – £33,000
After 5 years LEO
£29,750 – £42,000
national rangeaxis £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.

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

Who studies here and in this subject?

Provider- and UK subject-level context.

Kaplan Open Learning (Essex) Limited

All students1,805
International0.3%
Aged 25+77.3%

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 Essex Online from outside the UK involves: fees, English, visa, funding and living costs.

Tuition fees

International tuition is £20,987 / 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

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 Essex Online’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 Essex Online and gov.uk before you apply.

Common questions

Set by Essex Online. Check the university's course page for the exact offer.
See the career and earnings data for Computer Science below (national Graduate Outcomes / LEO figures).
Home tuition is regulated and the cap depends on the UK nation the provider sits in; check the provider's course page for the exact figure. Eligible students can apply for a tuition fee loan and living-cost support from the student-finance body for the UK nation they live in. Repayment thresholds differ by nation. See Fees & funding on this page to work out your numbers.
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