MSc Data Science

1 Years On Campus Masters Program

Goldsmiths University of London

Program Overview

The MSc in Data Science at Goldsmiths, University of London develops strong computational, statistical and analytical skills for working with large and complex datasets. It suits students with quantitative, mathematical, computing or engineering backgrounds who want to become data scientists, analysts or work in data-driven roles across industry and research.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Data Programming, Statistics and Statistical Data Mining, Machine Learning, and Big Data Analysis, gaining core skills in coding for data analysis, statistical inference, data-mining techniques, model building and processing large-scale data. They then study Data Science Research Topics, which exposes them to contemporary challenges, interdisciplinary applications and advanced methods used across real-world data-science domains. The programme concludes with a Final Project in Data Science, where students integrate programming, statistics, machine learning and big-data tools to produce an applied or research-focused solution to a complex data problem.

Focus areas: “Data programming, statistical data mining, machine learning, big-data analysis, applied research, data-science project”

Learning outcomes: “Write software for data analysis; apply statistical and ML models; process and interpret large datasets; design and conduct data-science investigations; communicate insights effectively.”

Professional alignment (accreditation): Designed to meet industry demand for data scientists and analysts across business, technology, media, health, research and government sectors.

Reputation (employability rankings): The programme is well regarded for its blend of technical depth and applied project work, preparing graduates for roles in data science, analytics and industry research teams.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science at Goldsmiths provides practical skills in analysing complex datasets using industry tools. Students apply statistical and machine learning techniques in a lab environment that emphasises ethical and social context.

Key components:

Software & Tools: Analysis using Python (Pandas, scikit-learn) and R in Jupyter notebooks.
Facilities: Work in the dedicated Data Science Lab for computing and collaboration.
Group Projects: Collaborative data investigations on real-world datasets, covering the full analysis pipeline.
Critical Focus: Integrates technical training with critical analysis of data's societal impact, reflected in project and dissertation topics.

Progression & Future Opportunities

Graduates of Goldsmiths, University of London's MSc Data Science advance to roles as data scientists, data mining analysts, big data engineers, and machine learning specialists in tech, finance, healthcare, and media sectors:

Careers Service provides CV guidance, interview coaching, employer networking events, and alumni support.
High demand yields strong employability; competitive salaries in data roles (£35k+ UK start).
Industry Advisory Board ensures real-world projects with Hadoop, R, and domain experts.
Equips for certifications supporting senior data leadership and research careers.
Outcomes span analytics consulting, big data firms, or PhD pathways.

Further Academic Progression: Graduates can pursue PhD in data science, AI, or machine learning at Goldsmiths/other institutions, extending final project analysis of real-world datasets.

Additional Information & Requirements

You'll have a BA or BSc Degree at 2.2 standard or above in a subject such as computer science, mathematics, statistics, engineering, or quantitative subjects like economics and finance.

India- For entry to postgraduate programmes you will normally need a Bachelors degree in relevant subject (50%)

USA- For entry to postgraduate programmes you will normally need a Bachelor’s degree in a subject relevant to your proposed area of postgraduate study. (GPA- 2.7)

IELTS - 6.5 overall and no element lower than 6.0

China- For entry to postgraduate programmes you will normally need a Bachelors degree in relevant subject with score 65%-75%

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