MSc Applied Data Science

1 Year On Campus Masters Program

Swansea University

Program Overview

The MSc in Applied Data Science provides training in mathematics, statistics, programming, and machine learning for students entering data-driven careers. It suits graduates from any discipline who want to transition into data science or analytical roles.

Curriculum Structure

Year of Study (Full-time, 1 year)
Students begin with core foundations such as Mathematics for Data Science, Probability and Statistics for Data Science, and Database Systems, building essential quantitative and technical skills.
They then progress to applied modules like Data Mining and Analytics, Modelling and Machine Learning, and Data Visualisation, gaining practical abilities in extracting patterns, building predictive models and presenting insights.
The year concludes with an Applied Data Science Project, where students complete an end-to-end data-science investigation, from data preparation to modelling and interpretation.

Focus areas: “Mathematics & statistics; programming & databases; data mining; machine learning; visualisation; applied project.”

Learning outcomes: “Perform statistical analysis; implement machine-learning models; manage and process data; visualise and communicate insights; deliver a full data-science workflow.”

Professional alignment: Prepares graduates for roles such as data analyst, data scientist, BI analyst, or data engineer across diverse industries.

Reputation: Delivered by a strong mathematics and computing faculty, with graduates benefitting from high employability in data-driven sectors.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Applied Data Science at Swansea University is a research-intensive programme where students develop deep, practical expertise in a specific theoretical area. Advanced skills are gained through hands-on investigation, formal modelling, and the development of proofs or algorithms under close supervision.

Key experiential components:

Research Methods & Tools: Use of specialised software for formal verification, theorem proving (e.g., Coq, Isabelle), algorithmic simulation, and mathematical typesetting (LaTeX), tailored to the specific research topic.
Research Environment: Integration into the university's Theoretical Computer Science research group, with access to departmental seminars, research colloquia, and dedicated workspace for concentrated study.
Supervised Research: The entire programme is a sustained, individual research project (thesis). The student works under the direct supervision of an expert academic to investigate an open problem, contributing novel theoretical insights or proofs.
Dissertation & Output: The core outcome is a substantial written thesis that demonstrates original contribution to knowledge in an area such as algorithms, complexity, semantics, or logic, defended in a viva voce examination.

Progression & Future Opportunities

Graduates of Swansea University's MSc Applied Data Science acquire essential skills in data visualization, machine learning, and statistical analysis, enabling roles as data analysts, business analysts, and researchers at firms like Admiral, AXA, and Deutsche Bank. Designed for non-specialists, the program builds programming and decision-making expertise for the digital economy, with alumni in sectors like finance, health, and government. Strong career enhancement stems from practical projects and foundational maths/stats training.

Typical job roles: Data Analyst, Business Analyst, Statistician, Data Researcher.

Careers service: employability training, industry project support via Computational Foundry
Employment stats: high demand; UK data roles £35k+ start
Partnerships: industry links for real-world data applications
Accreditation value: Swansea Maths/CS rankings for data credentials
Outcomes: analyst/researcher positions at Shell/BA/Health Authorities

Further Academic Progression: Pursue PhDs in data science at Swansea, extending MSc projects in ML or analytics.

Additional Information & Requirements

Applicants for MSc by Research must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University).

IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.

India Requirement- Bachelor (minimum of 3 year) UK 2.2 or Master’s (Pass) 55%.

USA- Bachelors degree with CGPA 2.6

China- Double World Class Universities 75% All other Universities 80%

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