This programme, taught in collaboration with the School of Mathematical Sciences, emphasises the use of computers to solve mathematical problems,including topics such as programming and algorithms. You can choose option modules from across the range of mathematics and computer science, including computer graphics, artificial intelligence, number theory and cryptography. You will be equipped for roles such as data analyst, analyst consultant or data architect. Companies where our students have recently been placed include: IBM, Goldman Sachs, Kurtosys Systems, ITRS Group, Service Now, eBay, Microsoft, Cisco, Accenture, Bank of America, M&G Investments and Insight Software. Placement roles must include work that directly relates to your degree subject but can be undertaken across all industry areas in both the private and public sectors. Placement opportunities can be found with large corporations as well as with smaller and medium sized employers. Classes include lectures, laboratory sessions and tutorial sessions. In lectures, you will learn core material, while in laboratory and tutorial sessions you will work on problem-based learning activities in smaller classes. You will spend 15-20 hours per week in lectures, as well as undertaking independent work and study. You will meet with your personal adviser regularly to ensure that you are settling in and progressing well. Throughout your programme, we highlight issues relevant to the professional context of your studies. We strongly encourage you to get experience of applying your knowledge and skills through paid or unpaid work opportunities or a year-long industrial placement. Assessment for most modules is through a combination of examination and coursework. Coursework can take many different forms appropriate to the individual module. Laboratory-based modules are often assessed through practical assignments, while more theoretical modules may be assessed through exercise sheets or written assignments. Graduates from Queen Mary’s School of Electronic Engineering and Computer Science go on to work in a wide variety of careers. Some apply their degree knowledge directly, entering careers such as Computer Analyst or Software Engineer, whilst others transfer skills gained during study into areas such as Finance, Education or Central Government. Throughout the course, students have access to a bespoke careers programme, to prepare them for applying for internships and graduate level work. This programme includes workshops on job hunting and job applications as well as employer events to facilitate networks and help students to explore their options.