Understand AI, its potential for business, and the opportunities for its implementation. This programme aims to bridge the gap between business and technology. Designed for management and business leaders across multiple functions and industries seeking to understand the possibilities of AI, it’s also applicable for technical professionals such as CIOs, IT managers, and business analysts looking to better understand how AI can be implemented within their organisations.

Get career-ready to land your dream tech job with hands-on software engineering skills. Our Software Engineering Bootcamp gives you next-level instruction, one-on-one career coaching, and the right connections to get hired. Software engineers use programming languages to develop digital experiences. The architect, optimize, and test code to tackle all kinds of challenges.

This module will introduce you to the lean startup methodology which aims to reduce the product development cycle and establish the viability of a proposed business model. Taking its influence from lean manufacturing principles, the lean startup approach aims to minimise waste and focus on exercising practices that bring real value. This means avoiding substantial outside funding, sticking to a simple business model and plan, and using constant customer feedback during the product development stage to ensure the startup is creating something that truly meets customer needs. You will work on your own idea for a minimum viable product (MVP) according to the lean startup methodology’s build-measure-learn principle.

Take human bias out of the equation with automated trading. The Oxford Algorithmic Trading Programme aims to give participants a comprehensive overview and understanding of the rules that drive successful algorithmic trading strategies. The programme is led by Nir Vulkan, Associate Professor of Business Economics at Oxford Saïd, a leading authority on applied research and teaching on hedge funds. The programme also features a host of guest experts leading the systematic trading industry.

Start your programming journey with Python, understanding syntax, data structures, and basic programming principles. This short course for beginners will provide you with hands-on experience of the core features of  Python and how to apply these to real-world problems.

Led by Aalto University experts, the Digital Twins master class will dive deeply into the different roles and uses of digital twins and explain how they enable asset-centric data management and cross-company data sharing. We will review the standardization landscape of digital twins and recognize that it is the right time to act in order to have an influence.

Nowadays, Computer Science has applications in almost any human field. The discipline has enlarged its sphere of influence greatly, and specialization is more and more relevant to start to a professional career. For such a reason the MSc in Computer Science active at UNICAM has structured its didactic offer over 5 different curricula trying to satisfy the educational expectations of students, and the market. In addition to a set of “up-to-date” curricula, as detailed in the following, the MSc in Computer Science offers many interesting opportunities to students to enlarge their formative perspectives. First of all, by enrolling in the MSc in Computer Science at UNICAM the student will have the possibility of getting admitted to one of the four Double Degree programs.

Blackburn CompSci provides an ACM-compliant curriculum in a setting that encourages both individual growth and teamwork. The Professors are accessible, well-prepared teachers of their discipline, committed to encouraging and expecting the best from each student. Computer Science majors learn how to take complex and multi-faceted problems, modularize them, design and build correct and targeted solutions, and make the results accessible to users. You will learn how to dream it, design it, build it, test it, and explain it. The creative buzz from that process is like no other. You will achieve a deep understanding that is the reward for the hours of work you spent to get it right. Computer science is all about three things: algorithms, hardware, and information.

The Computer Science course we offer at Bury College has been refreshed to move with the times and adapt to the advances in Computing that are constantly transforming the way we work. Computer Science embraces the logical, imaginative and creative skills needed to create the technologies of tomorrow. The course has a strong emphasis on problem solving and practical programming using the C# programming language . This is complemented by a study of computational theory, giving you the skills to progress to higher education or thrive in the workplace.

A Level Computer Science is an exciting but demanding subject that will help you develop an analytical, problem-solving approach, which is sometimes called 'computational thinking’. The course will equip you with the fundamentals of problem-solving, which you will put into practice by developing computer programs using Python. From the start of the course, you will learn the fundamentals of problem solving which you will put into practice by developing computer programs. Programming is creative and satisfying but demanding, especially when you are learning it for the first time.

AS/A Level Computer Science is an exciting but demanding subject that will help you develop an analytical, problem-solving approach, which is sometimes called 'computational thinking’. The course will equip you with the fundamentals of problem-solving, which you will put into practice by developing computer programs using Python. It is crucial that you spend time every week developing your programming skills outside lessons. In the second year of the course, you will undertake a significant programming project which you will choose yourself. 

The International Year One in Engineering & Computer Science will develop your subject knowledge and English language skills, whilst preparing you to join the second year of your chosen undergraduate degree at the University of Huddersfield’s School of Computing and Engineering.

The training aims to provide an understanding of the foundations and computer technologies which are the basis of the functioning of organizations, their structures and their imperatives, with particular attention to decision support systems, based on algorithms and programming, discrete mathematics, big data, machine learning and artificial intelligence. It emphasizes quality professionalization through internships, strong involvement of professionals and the development of learning. It also includes more theoretical lessons, allowing the integration of conceptual approaches and decision-making tools.