Computer Science with Artificial Intelligence at Buckinghamshire New University - UCAS

Course summary

AI is transforming industry – and the world we live in. Experts are applying their skills to improve care in hospitals, control robots in space, help companies understand buying habits, and more. By 2035, it’s predicted that AI activity could be worth an impressive £630 billion in the UK. A degree in this field will help give you the skills and knowledge you need to help play your part in shaping the future. Explore AI from its history to philosophy and what it can and can’t do. You'll study machine learning, artificial neural networks, and data analysis and use industry tools including MATLAB and Jason. Consider ethics of AI and debate the benefits and challenges posed by AI developments. Why study at Buckinghamshire New University? BNU is invested in you and your future. We ensure that our courses are designed with you and industry in mind, so that you can graduate confident that you can make competitive job applications post-university. We know that the industry is constantly changing and rapidly evolving, which is why we are committed to implementing new and improved technologies in our topics, teaching and facilities. We’ve created our Computer Science degree to help you design and programme systems capable of solving real-world challenges. Our course is a part of our strong Computing school, and you’ll be taught by a team of expert lecturers who have vast experience of working in their respective fields. To further enhance your education, we invite in guest lectures to share their experience and expertise. Opportunity modules are a key part of the BNU curriculum. You’ll choose modules in both your first and second year from a broad selection in areas such as sustainability, entrepreneurship, creativity, digital skills, personal growth, civic engagement, health & wellbeing and employment. Opportunity modules are designed to enable you to develop outside the traditional boundaries of your discipline and help you to further stand out from the crowd to future employers. What will I study ? Take a deep dive into the world of AI and understand how machines search, reason and problem solve. At the same time, we’ll also explain the role of classical logic in machine intelligence, algorithms to search state spaces, and natural language processing systems. Then we’ll put your knowledge to the test. In workshops, you’ll work as part of a team to build AI machines – whether these are in the form of Expert Systems, Intelligent Agents or robots. This degree is enhanced by alignment with certification programmes from major companies including Microsoft, Amazon Web Services (AWS), and Cisco. You'll acquire a broad range of skills covering computation theory, fundamentals of computer science, compliers and operating systems, basic programming, software development and testing, web applications and databases, algorithms and data structures, whilst building secure web and mobile applications, alongside analysing life-critical systems. From your first day and onwards, you are with us, you will be studying topics ranging from, Computer Architecture, Discrete Mathematics, User Experience (UX) and Data Science. We aim to provide a balance of theory and practice and opportunities to apply knowledge into real projects where possible. You will acquire a wide range of skills and competences such as the ability to think critically about real-world problems. You will be exposed to a variety of computing discipline areas, so that you will then be able to select and apply appropriate principles, theories, best practices and appropriate technologies to address the needs of different business contexts, users, customers and stakeholders.

Modules

Year one Core Modules Programming Concepts Computer Architecture Networks Web Development Computational Fundamentals Opportunity Modules 2 x 10 credit year one Opportunity Year two Core Modules Machines and Their Languages Planning, Search and Artificial Intelligence Research Methods Optional Modules Introduction to Natural Language Processing Computer Science Algorithms and Data Structures Year three Core Modules Autonomous Robotic Systems Extended Independent Work Optional Modules Legal Aspects of IT Data Science Knowledge-Based Systems in Artificial Intelligence Learning Machines and Intelligent Agents

Assessment method

At Buckinghamshire New University we like to foster an interactive and student-focused teaching style where we have a combination of formal lectures, tutorials, practical lab sessions, seminars and guest speakers to enhance the learning experience. We like to design our course to reflect the workplace so you will have the opportunity to carry out independent study, supported through distance learning technologies such as Blackboard, our Virtual Learning Environment. We will also provide reading lists and suggested resources to enhance independent study. You are more than a number at BNU, and we are here to support you through your education journey. We have in place regular contact hours with our tutors and provide you with informal feedback throughout the programme of study. Over the years of your course you will be assessed and graded in a multitude of ways to allow you to develop and expand on your abilities and skills. Assessments for the various modules will mostly take the form of practical coursework, lab tests and written exams, with the focus being on testing the practical application of the various concepts and techniques being conveyed.


How to apply

Application codes

Course code:
ARIN
Institution code:
B94
Campus name:
Buckinghamshire New University
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

International applicants

For information about applying to Buckinghamshire New University as an International applicant, please visit https://www.bucks.ac.uk/study/international

Entry requirements

Qualification requirements

Applicants who do not meet the minimum requirements for the three-year undergraduate programme, or those who do not feel fully prepared for a degree course, can apply for a four-year programme including a Foundation Year.

Please click the following link to find out more about qualification requirements for this course

https://bucks.ac.uk/applying-to-bucks/general-entry-requirements


Student Outcomes

Operated by the Office for Students
65%
Employment after 15 months (Most common jobs)
85%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1
Republic of Ireland £9250 Year 1
EU £15000* Year 1
International £15000* Year 1

*This is a provisional fee and subject to change.

Additional fee information

Most courses will involve some additional costs that are not covered by your fees. You could benefit from financial support through a bursary or scholarship during your time as a student. For more details visit our financial support, bursaries and scholarships section.

Sponsorship information

Buckinghamshire New University offers a range of bursaries and scholarships. For more information, please visit https://www.bucks.ac.uk/study/fees-and-funding/financial-support-bursaries-and-scholarships

Computer Science with Artificial Intelligence at Buckinghamshire New University - UCAS