Data Science with specialisation in Computer Science

The MSc in Data Science with Specialisation in Computer Science at University College London is a cutting-edge postgraduate program designed to equip students with the advanced knowledge and practical skills necessary to excel in the rapidly evolving field of data science. This programme offers a comprehensive curriculum that integrates core concepts of data analysis, machine learning, statistics, and computer science, providing students with a robust foundation to address complex data-driven challenges across various industries. Throughout the course, students are trained in the latest tools and techniques used in data acquisition, processing, modeling, and visualization, enabling them to extract meaningful insights and deliver impactful solutions. The program emphasizes hands-on experience through labs, projects, and industry collaborations, fostering a practical understanding of real-world data problems. Specialized modules focus on areas such as artificial intelligence, big data management, data ethics, and software development, ensuring graduates are well-rounded professionals capable of leading data initiatives. The Department of Computer Science at UCL has a strong research orientation, offering opportunities for students to engage with pioneering projects and faculty expertise. The program prepares graduates for diverse career paths in data science, data engineering, analytics, research, and academia. With a global reputation for academic excellence and innovative research, UCL provides an inspiring environment that supports intellectual growth, collaboration, and professional development. Graduates of this programme will be equipped to contribute to technological advancements and data-driven decision making in multiple sectors, including finance, healthcare, technology, government, and more. The MSc in Data Science with Specialisation in Computer Science at UCL is an excellent choice for those seeking to become leaders in the data science domain and make a meaningful impact through their work.

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a wide range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), five optional modules (75credits) and a dissertation/report (60 credits).

Core modules

• Applied Machine Learning
• Introduction to Machine Learning
• Introduction to Statistical Data Science

Optional modules

• Students choose a minimum of 30 credits and a maximum of 60 credits from the following optional modules.
• Cloud Computing (Birkbeck)
• Machine Vision
• Information Retrieval & Data Mining
• Statistical Natural Language Processing
• Web Economics
• Students choose a minimum of 0 credits and a maximum of 30 credits from these optional Statistics modules.
• Statistical Design of Investigations
• Applied Bayesian Methods
• Decision & Risk
• Students choose a minimum of 15 credits and a maximum of 15 credits from these elective modules.
• Supervised Learning
• Graphical Models
• Bioinformatics
• Affective Computing and Human-Robot Interaction
• Computational Modelling for Biomedical Imaging
• Stochastic Systems
• Forecasting

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning

The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

A minimum of an upper second-class Bachelor's degree in a quantitative discipline (such as mathematics, computer science, engineering, physics or statistics) from a UK university or an overseas, qualification of an equivalent standard. Knowledge of mathematical methods including linear algebra and calculus at first-year university level is required. Depending on the modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (R/matlab/python) is useful. Relevant professional experience will also be taken into consideration.

The MSc in Data Science with Specialisation in Computer Science at University College London offers a range of financing options to support prospective students in funding their studies. The university provides various scholarships, bursaries, and financial aid opportunities designed to assist students financially throughout their academic journey. Scholarships are awarded based on merit, financial need, or a combination of both, and applicants are encouraged to review the specific criteria for each scholarship to determine eligibility. For domestic students, the available funding may include government-backed loans and grants, which can cover tuition fees and living expenses, depending on the student's circumstances. International students are also eligible for a selection of scholarships, some of which are specifically tailored to students from particular regions or countries.

In addition to designated scholarships, students can explore external funding opportunities from organizations, foundations, and government agencies, which often support students pursuing advanced degrees in data science and computer science. The university’s financial aid office provides detailed guidance and resources to help students identify suitable funding sources and navigate the application processes. UCL also offers part-time work opportunities, including research or teaching assistant positions, which can supplement students' income during their studies.

Moreover, the program’s structure and duration may influence the total cost, including tuition fees, living expenses, books, and materials. The university recommends early financial planning and advises students to submit applications for funding well in advance of the start date to maximize their chances of securing support. International students are advised to consider additional costs such as visa fees and health insurance, and they are encouraged to seek financial advice through the university’s support services. Overall, the university strives to make postgraduate education affordable and accessible by providing comprehensive information and support regarding financing opportunities for students enrolled in the Data Science with Specialisation in Computer Science program.

The MSc in Data Science with specialisation in Computer Science at University College London (UCL) is a comprehensive postgraduate program designed to equip students with advanced knowledge and practical skills in data analysis, machine learning, and computational techniques. The program is tailored for individuals seeking to develop expertise in the rapidly growing field of data science within the context of computer science applications. The curriculum covers core topics such as statistical methods, data mining, big data technology, artificial intelligence, and programming languages like Python and R. Students are exposed to both theoretical foundations and practical implementation, enabling them to handle complex data-driven problems across various industries.

UCL’s program emphasizes an interdisciplinary approach, integrating concepts from computer science, statistics, and domain-specific knowledge to prepare graduates for careers in academia, industry, or government. The program includes coursework, projects, and the opportunity to undertake an MSc dissertation, where students can work on original research or applied data science projects in collaboration with industry partners. UCL's strong links with industry and research institutions provide students with networking opportunities and access to cutting-edge developments in data science technology and applications.

In addition to technical skills, the program aims to develop critical thinking, problem-solving abilities, and effective communication skills, which are essential for translating complex data insights into strategic decisions. Students are encouraged to participate in UCL’s vibrant research community, attend seminars and workshops, and leverage the university’s extensive resources. Graduates of this MSc program are well-positioned to pursue careers as data scientists, machine learning engineers, data analysts, and research scientists across sectors such as finance, healthcare, technology, and consulting. The program typically lasts one year full-time, with part-time options available, and adheres to UCL’s high academic standards and commitment to research excellence.