Data Science and Computing (Part-time) Birkbeck, University of London

Overview

The B.Sc. in Data Science and Computing (Part-time) at Birkbeck, University of London, is structured to equip students with essential skills in mathematics, statistics, and computer science, enabling them to address complex real-world challenges. The programme focuses on the latest methodologies for data collection, storage, analysis, and visualisation, essential for effective decision-making across various sectors. This course is particularly relevant for aspiring data scientists and data-driven software developers.

Why Data Science and Computing at Birkbeck?

Birkbeck has a distinguished reputation, having established one of the UK's first computing departments in 1957. The university is known for its pioneering contributions to data science, database technologies, and eCommerce. With a strong emphasis on research-informed teaching, students benefit from high-quality instruction and access to state-of-the-art facilities. Birkbeck's collaborations with businesses and public sector organisations provide unique opportunities for students to engage with real-world applications of their studies.

Tuition Fee Breakdown

The tuition fees for the Data Science and Computing (Part-time) programme are as follows:

• International students: £13,875 per year
• Home students: £7,145 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum encompasses a blend of theoretical knowledge and practical skills, structured over four years. Key modules include:

• Data Modelling and Analysis
• Database Technology
• Programming
• Mathematics for Computing
• Object Oriented Programming
• Systems Analysis and Design
• Advanced Data Modelling and Analysis
• Data Structures and Algorithms
• Machine Learning
• Computer Networking
• Database Management
• Information Security
• Further Machine Learning and Analytics
• BSc Data Science Project

Careers with Data Science and Computing

Graduates of this programme are well-prepared for diverse career paths, including roles such as data scientists, software developers, and analysts. Alumni have successfully secured positions in various industries, including healthcare, finance, and technology. Specific job titles include:

• Analytics Associate/Data Scientist
• Quantitative Analyst
• Machine Learning Engineer
• Graduate Software Developer

With a comprehensive careers service available, students are supported in navigating their professional journeys and connecting their academic experiences with future ambitions.