Business Analytics with specialisation in Computer Science

The MSc in Business Analytics with Specialisation in Computer Science at University College London is a comprehensive postgraduate program designed to equip students with the advanced skills and knowledge necessary to thrive in the rapidly evolving field of data-driven decision making. This course combines rigorous training in business analytics methodologies with a focus on computer science principles, ensuring graduates are well-versed in both the theoretical frameworks and practical applications involved in analysing complex data sets. The program covers a wide range of topics including statistical analysis, machine learning, data mining, predictive modelling, and data visualization, all within the context of business problems and organizational needs.

Students will benefit from UCL’s world-renowned research facilities and expert faculty, many of whom are leading experts in data science, artificial intelligence, and business analytics. The curriculum is designed to foster both technical proficiency and strategic understanding, enabling graduates to translate sophisticated data insights into actionable business strategies. Throughout the course, emphasis is placed on hands-on experiences through projects, case studies, and collaborations with industry partners, preparing students for immediate employment in roles such as data analyst, business intelligence consultant, or data scientist.

The program also develops core competencies in programming languages like Python and R, database management, and cloud computing, reflecting the current technological landscape in business analytics. Specialisation in computer science allows students to deepen their understanding of algorithm development, computational efficiency, and software engineering related to data analysis tools. The diverse learning environment encourages teamwork, problem-solving, and innovation, essential qualities for successful careers in the competitive analytics industry.

Graduates of this MSc program will be equipped to interpret complex data, inform strategic business decisions, and contribute to digital transformation initiatives across various sectors. The program’s combination of business insight and technical expertise positions students to be at the forefront of the analytics field, capable of tackling intricate data challenges and driving organizational success in an increasingly digital world.

The programme is designed to give students multidisciplinary skills in computing (i.e. programming, big data), analytics (i.e. data mining, machine learning, computational statistics, complexity), and business analysis. Emphasis will be on business problem framing, leveraging data as a strategic asset, and communicating complex analytical results to stakeholders.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (90 credits), two optional modules (30 credits) and a dissertation (60 credits). 

Core modules

• Programming for Business Analytics
• Data Analytics
• Introduction to Supervised Learning

Please note: the availability and delivery of modules may vary.

Optional modules

• Applied Machine Learning
• Business Strategy and Analytics
• Consulting Psychology
• Consumer Behaviour
• Data Science for Spatial Systems
• Decision and Risk
• Decision and Risk Analysis
• Graphical Models
• Group Mini Project: Digital Visualisation
• Information Retrieval and Data Mining
• Mastering Entrepreneurship
• Statistical Design of Investigations
• Statistical Models and Data Analysis
• Statistical Natural Language Processing
• Talent Management
• Urban Simulation
• Web Economics

Please note: the availability and delivery of modules may vary.

Dissertation/report

During the summer students will undertake a work placement with a UCL industrial partner. The research and data analysis conducted during this placement will form the basis of a 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures by world-class academics and industry leaders, seminars, workshops, tutorials and project work. The programme comprises two terms of taught material, followed by examinations and then a project. Assessment is through unseen written examinations, coursework and the dissertation. 

A minimum of an upper second-class UK Bachelor's degree (or overseas equivalent) in a quantitative subject as computer science, engineering, mathematics, physics or a quantitative social science subject.
Applicants must be proficient in object-orientated and/or analytical programming, have strong communication skills, and an outstanding aptitude for quantitative analysis.

Funding options for the MSc Business Analytics with specialisation in Computer Science at University College London include a variety of financial support mechanisms aimed at helping students manage the costs of their studies. University College London offers a range of scholarships, grants, and bursaries specifically for master's students, which applicants are encouraged to explore and apply for early in their admission process. These scholarships are often based on academic merit, financial need, or a combination of both, and some are specifically targeted at students pursuing programmes in computer science and related disciplines. Additionally, government-funded loans such as those provided by the UK Student Loans Company are available to eligible UK and EU students, enabling them to defer tuition fees and living costs while studying. International students may need to seek external funding sources, including government scholarships from their home country, private foundations, or employer sponsorship schemes. UCL also provides financial guidance and advice through its Student Funding Office, assisting students in identifying suitable funding routes and completing applications. For students undertaking part-time work, UCL’s location in London offers opportunities to supplement income through part-time employment, subject to visa regulations for international students. Furthermore, some departments or external organisations may offer research or teaching assistant positions that provide stipends or tuition fee reductions. It is advisable for prospective students to thoroughly review the scholarship opportunities listed on the university’s official website and contact the university's financial aid office to receive tailored advice and support. While the exact sum of available scholarships and grants fluctuates annually based on funding availability, prospective students should plan their finances early to secure the necessary funding and avoid disruptions during their studies. Overall, financing a master's degree at UCL requires proactive planning and exploration of multiple support channels, ensuring students can focus on their academic pursuits without undue financial worry.

The MSc in Business Analytics with specialization in Computer Science at University College London is a highly regarded program designed to equip students with advanced skills in data analysis, machine learning, and computational methods applied to business contexts. This program offers a comprehensive curriculum that balances theoretical foundations with practical applications, preparing graduates to address complex business problems through innovative data-driven solutions. The coursework emphasizes the development of expertise in statistical analysis, programming, data management, and the deployment of analytical models in real-world scenarios. Students have the opportunity to engage with cutting-edge tools and techniques, including Python, R, SQL, and cloud computing platforms, ensuring they are well-versed in the latest technological advances.

The specialization in Computer Science provides a technical backbone to the business analytics core, allowing students to deepen their understanding of algorithms, data structures, and software development. This combination fosters a multidisciplinary approach, enabling graduates to analyze large datasets effectively, build predictive models, and implement data-driven strategies that enhance organizational decision-making. The program often includes case studies and industry projects, offering students practical experience in solving real business challenges, thereby facilitating the transition from academic learning to professional practice.

Academic staff involved in this program are renowned experts in data science, machine learning, and business intelligence, ensuring high-quality teaching and research support. Collaboration with industry partners is a key feature, providing opportunities for internships, networking, and exposure to current industry trends. The program is suitable for individuals with a background in computer science, mathematics, economics, or related fields who aim to specialize further in business analytics. Graduates of this program typically pursue careers in data analysis, consultancy, financial services, technology firms, or continue in academia and research. Overall, the MSc in Business Analytics with a specialization in Computer Science at UCL offers a rigorous, innovative education that prepares students to thrive in the rapidly evolving landscape of data-driven business intelligence.