How long does the MSc in Applied Computing take?

The MSc in Applied Computing runs one year full-time or two years part-time. The MSc in Applied Computing uses a modular calendar so working professionals can pace themselves.

How is the MSc in Applied Computing delivered?

The MSc in Applied Computing is delivered on-campus in London, fully online with GPU access, or by distance learning. All three routes join the same weekly seminar cohort.

Is this Master's recognised in the UK?

Yes. The MSc in Applied Computing is a UK Level 7 postgraduate qualification aligned with BCS Chartered IT Professional themes and the CNCF cloud-native curriculum.

What are the entry requirements for the MSc in Applied Computing?

You need a UK Bachelor's at 2:2 or above in a numerate discipline, or five years of senior experience assessed by portfolio. IELTS 6.5 overall is required for non-native English speakers.

What are the fees and funding options?

Fees for the MSc in Applied Computing are quoted per intake and include instalment plans. Employer sponsorship and scholarship review are handled at application by the LSCE admissions team.

MSc in Applied Computing | LSCE | Harold International College of London

Course Overview

The MSc in Applied Computing is a UK Level 7 postgraduate degree, one year full-time or two years part-time covering the applied and research-informed use of computing techniques across domain problems. The programme concentrates on Python data pipelines, cloud services, applied machine learning, evaluation methodologies and reproducible research tooling, and the syllabus is aligned with BCS (The Chartered Institute for IT) guidance and reference materials from Institute of Coding. Delivery is available on-campus in central London, fully online with the same lab and tooling provisioning, or by distance learning, and every route joins the same intake cohort with weekly tutor visibility and named programme-tutor support.

By graduation from the MSc in Applied Computing you will be a graduate positioned for consulting, product analytics or doctoral-track research, with research-informed senior practice with a dissertation or sponsor consulting project demonstrated through a portfolio of coursework, applied labs and, at the closing stage, sustained coursework, applied artefacts and a closing dissertation or sponsor project. Every learner leaves the MSc in Applied Computing with a documented body of work suitable for UK employer conversations across consulting practices, research-adjacent teams, product analytics groups and public-sector data offices, and with a clear progression route into the next step of the LSCE ladder. Coursework is scheduled around working professionals so that part-time and full-time routes share the same weekly seminar, the same assessment rubric and the same tutor group.

Key Features

Postgraduate cohort teaching in small tutor-visible groups at the LSCE central London campus, online, or by distance learning.
Curriculum aligned with BCS (The Chartered Institute for IT) guidance and referenced against Institute of Coding and CompTIA materials.
Applied labs covering Python data pipelines, cloud services, applied machine learning, evaluation methodologies and reproducible research tooling.
Weekly clinic sessions where tutors work through problem sets, code review or design critique with you on your own coursework.
Assessment structured as sustained coursework, applied artefacts and a closing dissertation or sponsor project rather than a single high-stakes final paper, so progress is visible throughout the MSc in Applied Computing.
Careers-service introductions to London employers active in consulting practices, research-adjacent teams, product analytics groups and public-sector data offices, with dedicated CV and portfolio review sessions.
Structured articulation route within the LSCE ladder from a UK Level 7 postgraduate degree into the next level of study or straight into employment.

What You Will Learn

Design applied computing pipelines that solve real domain problems.
Apply Python data analysis and cloud services to research-informed tasks.
Evaluate applied ML and analytics models against domain benchmarks.
Produce reproducible research artefacts with clear provenance.
Frame ethics and responsible-computing considerations for applied projects.
Communicate results to non-technical domain stakeholders.
Manage a supervised dissertation or sponsor consulting project.
Contribute to a peer-reviewed research culture and paper-reading group.

Who This Course Is For

Bachelor graduates in a related discipline moving into senior specialist practice in applied computing.
Senior professionals with five or more years of experience taking the portfolio route.
Consultants and contractors selling senior-track advisory services in consulting practices, research-adjacent teams, product analytics groups and public-sector data offices.
International postgraduates seeking a UK Level 7 credential in applied computing.
Applicants using the dissertation as a springboard into doctoral study or applied research.

Career Pathways

Technical Product Manager (senior track)
Platform Engineer (senior track)
Software Engineer (senior track)
Full-Stack Developer (senior track)
Backend Engineer (senior track)
Frontend Engineer (senior track)
Mobile Application Developer (senior track)
Cloud Engineer (senior track)

The LSCE careers service supports MSc in Applied Computing graduates with structured CV clinics, portfolio and mock-interview sessions and named introductions to hiring managers across consulting practices, research-adjacent teams, product analytics groups and public-sector data offices. Every student meets a named careers adviser in the final stage, and alumni continue to receive careers coaching, job-alert access and application review after graduation. Where the MSc in Applied Computing offers a placement or capstone with an employer sponsor, the careers team helps you shape that engagement into a portfolio entry recruiters can validate.

Entry Requirements

A UK Bachelor's degree at 2:2 or above, or an international equivalent, in a relevant discipline.
Applicants with five or more years of senior professional experience are considered for admission by portfolio.
IELTS 6.5 overall (no band below 6.0) for non-native English speakers.
Two references, normally academic; senior professional accepted for experience-route applicants.
A one-page personal statement setting out your dissertation or capstone interest in applied computing.

Why Study at LSCE

The London School of Computing and Engineering is a specialist division of Harold International College of London teaching in small, tutor-visible cohorts. LSCE partners with UK professional bodies including BCS (The Chartered Institute for IT), and central London places the Alan Turing Institute, the NCSC, the ICE, IMechE and IET, and the City's engineering and technology employers within a short tube ride of every classroom.

Every intake, on-campus or remote, joins the same weekly seminar structure with named programme-tutor support. Three parallel study modes let Bachelor graduates, senior professionals and portfolio-route applicants complete the MSc in Applied Computing without leaving employment, and the LSCE careers service runs at least one industry-careers day each academic year to connect students with employers active in consulting practices, research-adjacent teams, product analytics groups and public-sector data offices. Curriculum alignment is refreshed each year against BCS (The Chartered Institute for IT) and Institute of Coding guidance so that graduates leave with a syllabus that reflects current UK sector expectations.

Apply for MSc in Applied Computing

Advance your career with an LSCE postgraduate degree. Click Enrol Now, admissions will respond within one working day with intake dates, dissertation supervision options and scholarship review. Rolling intake dates mean early applications receive the widest choice of tutors, elective modules and supporting information, and international applicants are supported through visa, accommodation and English-language guidance in the same first response. Enrol Now