Data Science (MSc)

1 Years On Campus Masters Program

Liverpool Hope University

Program Overview

The MSc in Advanced Software Engineering at King’s College London provides specialist training in designing, developing and managing large-scale, secure and high-quality software systems. It suits students with a strong computing background who want to progress into senior software engineering, system architecture or technical-leadership roles.

Curriculum Structure (Full-time, 1 Year)

Year of Study

The programme begins with core modules such as Software Measurement & Testing, Model-Driven Development, and Security Engineering, where students learn rigorous testing methods, structured system design and secure-engineering principles. As the year progresses, students can choose optional modules like Agents & Multi-Agent Systems, Big Data Technologies, Distributed Ledgers & Cryptocurrencies, or Software for Financial Systems, allowing them to specialise in distributed systems, blockchain, data-intensive systems or industry-specific software.
The degree concludes with an Individual Project, where each student designs and builds a substantial software system, applying advanced engineering techniques and demonstrating readiness for professional practice.

Focus areas: “Secure software engineering, model-driven development, software testing, scalable and distributed systems, blockchain and big-data technologies, applied software project”

Learning outcomes: “Design and evaluate complex software systems; apply rigorous testing and modelling methods; build secure and scalable applications; specialise in advanced or emerging software technologies; complete a full engineering project demonstrating industry-level competence.”

Professional alignment (accreditation): The programme aligns with industry standards for advanced software engineering and prepares graduates for roles such as senior developer, software architect, technical lead or systems engineer across tech, finance, consulting and enterprise sectors.

Reputation (employability rankings): King’s College London is consistently ranked among the top UK universities for computer science, and graduates from this MSc benefit from strong employer recognition, excellent research-led teaching and high employability in competitive software-engineering roles.

Experiential Learning (Research, Projects, Internships etc.)

Students develop practical data science skills through hands-on analysis of real-world datasets, applying statistical and machine learning techniques. The programme focuses on using professional software to extract insights and solve analytical problems.

Key experiential elements include:

Software & Tools: Core analysis using industry-standard tools, primarily Python (with libraries such as Pandas, NumPy, and scikit-learn) and R, supported by database querying with SQL.
Computing Facilities: Access to Liverpool Hope's dedicated computing laboratories, equipped with the necessary software and hardware for data processing, modelling, and visualisation tasks.
Group Projects: Collaborative data analytics projects where students work in teams to tackle a substantial data problem, covering the full workflow from data wrangling to interpretation and presentation of results.
Applied Dissertation: The programme culminates in a major individual research project, requiring the application of advanced data science methods to a significant, real-world dataset or research question.

Progression & Future Opportunities

Graduates of Liverpool Hope University's MSc Data Science secure roles as data analysts, data scientists, machine learning engineers, and business intelligence developers across finance, healthcare, technology, and consulting sectors with high employability:

Careers Service offers CV workshops, interview coaching, graduate development programmes.
Strong job satisfaction and competitive salaries reflecting data skills demand.
Industry collaborations via internships, placements, applied research projects.
Practical skills support certifications for data leadership roles.
Outcomes in analytics, predictive modelling, or strategic decision-making.

Further Academic Progression: Pursue PhD in data science/AI at Liverpool Hope/elsewhere, extending research on machine learning or big dat

Additional Information & Requirements

A minimum of a second class honours degree in a relevant discipline (eg Data Science, Computer Science, Computing, Science, or engineering-based) awarded by a UK university, or an equivalent higher education qualification.

China- A good honours degree with 70-75%

India- A good undergraduate degree. 50-59% (or a CGPA of 5.0-5.9/10 or 2.0-2.9/4.0).

USA- Normally a first or second class degree from a recognised American University. GPA of 2.5-2.9/4.0.

IELTS 6.0 overall with 5.5 minimum of all components

TOEFL: 67 - 80 overall Listening: 16-18 Reading: 16 - 18 Writing: 19 - 22 Speaking: 19 - 21

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