MSc Data Science and Artificial Intelligence

1 Years On Campus Masters Program

Goldsmiths University of London

Program Overview

The MSc Data Science and Artificial Intelligence at Goldsmiths teaches students advanced data-science, machine-learning and AI techniques for solving complex, real-world problems. It suits graduates in computing, maths, engineering or related quantitative fields seeking practical and analytical AI skills.

Curriculum Structure:
Students begin with Data Programming, Machine Learning, Artificial Intelligence, Big Data Analysis, and Neural Networks, gaining strong foundations in coding, ML/DL algorithms and large-scale data handling. They then apply these methods to real datasets across domains such as finance, health, social data and technology. The programme ends with a Final Data Science Project, where students design and implement an AI or data-science solution of their choice.

Focus areas: “Machine Learning, Deep Learning, Neural Networks, Big Data, Data Programming, Applied AI”

Learning outcomes: “Program and process data; build ML/DL models; handle large datasets; create AI-driven solutions; complete an independent project.”

Professional alignment (accreditation): Aligned with industry demand for data scientists and AI specialists across business, tech, healthcare and research.

Reputation (employability rankings): Goldsmiths’ computing school has strong industry links and applied training, supporting strong graduate outcomes in AI and data-science careers.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects in Goldsmiths' computing laboratories, applying data science and AI techniques to real-world datasets from creative, social, and commercial domains. This applied learning is central to the curriculum:

Software: Training in Python and R with key data science and AI libraries (TensorFlow, PyTorch, Scikit-learn, Pandas).
Computing Facilities: Access to the University's computing labs and high-performance resources.
Data Projects: Practical work with diverse datasets for analysis, modelling, and building intelligent systems.
Research Project: An individual dissertation focusing on an application of data science and AI.
Creative & Social Context: Curriculum benefits from Goldsmiths' strengths in creative computing and social sciences.

Progression & Future Opportunities

Graduates of Goldsmiths, University of London's MSc Data Science and Artificial Intelligence master statistical analysis, machine learning, neural networks, big data processing with tools like Apache Hadoop and Spark, and AI applications including NLP and deep learning for real-world data from biomedical, finance, and social media sectors. Interdisciplinary training across computing, management, and economics prepares alumni to drive innovation through data analytics amid accelerating data creation. Typical job roles: data scientist, AI engineer, machine learning specialist, data analyst.

University services: Careers Service provides job search advice, industry networking, and skill workshops during studies.
Employment stats/salary: High demand across healthcare, finance, business; alumni secure roles leveraging cutting-edge AI skills.
University–industry partnerships: Guest speakers from data science sector; Industry Advisory Board ensures curriculum relevance.
Long-term accreditation value: Expertise in evolving AI/big data technologies positions graduates for sustained industry leadership.
Graduation outcomes: Diverse roles in tech, finance, healthcare, research worldwide.

Further Academic Progression: Pursue PhD building on final data science project research with departmental experts.

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%

Book Free Session with Our Admission Experts

Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.