Computer Science with Artificial Intelligence with a Foundation Year BSc Hons 2023 24 Entry Birmingham City University
The University will consider students who have taken A level examinations and the International Baccalaureate (IB) for entrance to undergraduate programmes. Students educated in the Philippine system require at least two years post-high school education at a recognised institution before entering a Bachelors degree programme at Birmingham. Many students who have studied in the Philippines have followed a 12 year education system. For admission onto an undergraduate degree programme, the University of Birmingham requires all applicants to have studied for 13 years, and therefore you may need to take a foundation year before commencing your undergraduate programme. We will consider students for entry to the Birmingham International Academy who have completed their first year at a recognised institution in the Philippines and obtained good grades in all subject areas.
- We may accept your English language grade from the Finnish Ylioppilastutkinto/Studentexamen if you achieved 5 (magna cum laude approbatur) in English.
- The variety of sports is very widespread too, you can take part in badminton, volleyball, tennis, football, boxing the list is endless.
- We also have strong industry links in a city with one of the biggest creative and digital sectors in the UK.
- Many of those skills I use today in industry and will continue to use throughout my entire career.
You’ll also cover the principles of the lower level implementation of I/O using polling and interrupts, and the use of exceptions; how memory and storage are organized as well addressing the issues arising from multicore systems. You’ll also learn how modern computer systems and networks are constructed of hierarchical layers of functionality which build on and abstract the layers below. You’ll learn how the simple building blocks of digital logic can be put together in different ways to build an entire computer. You will gain a basic understanding of the fundamental architecture of computers and computer networks. This course will use a mixture of examinations and coursework assignments to assess students. Explore campus and city life and hear what our current students have to say about living here.
Quantum Devices and Technology
This module will introduce you to Big Data, the characteristics that define it, and the challenges and opportunities it presents. You will learn how cloud computing, distributed data processing frameworks, and NoSQL databases can be used to ingest, process, analyse and store massive, complex datasets. Alongside this, practical workshops will give you hand-on experience working with a wide range of real-world datasets, including unstructured text data, image data and data from Internet of https://www.metadialog.com/ Things sensor networks. You will learn how to use Apache Spark to process large-scale data and apply data analysis, data visualisation and machine learning techniques. Cognitive robotics is the field of creating robots that think, perceive, learn, remember, reason and interact. Biomimetic robotics is the approach of designing robots using principles discovered in nature, including what we can learn from the evolution and development of natural intelligence in animals including humans.
This means a more simplified timetable where you will study one subject at a time instead of several at once. You will have more time to engage with your learning and get to know the teaching team and course mates. You will receive faster feedback through more regular assessment, and have a better study-life balance to enjoy other important aspects of university life.
For more information about careers after a Computer Science and Artificial Intelligence degree, see the Prospects website. The scrolling banner(s) below display some key factual data about this course (including different course combinations or delivery modes of ai engineer degree this course where relevant). The team runs employer events throughout the year, including job fairs, key speakers from industry and interviews on campus. These events give you the opportunity to hear from, and network with, employers in an informal setting.
As a student on our programme, you will have the opportunity to learn from these world-class academics, benefiting from their wealth of experience and expertise. Our supportive community, which includes not only our accomplished academics but also skilled technicians and attentive administrative staff, is fully committed to helping you succeed in your educational journey. Our diverse staff and student body bring unique insights and experiences, enabling you to learn from different perspectives and broaden your understanding of the global engineering landscape. Your individualised timetable is normally available to students within 48 hours of enrolment. Whilst we make every effort to ensure timetables are as student-friendly as possible, scheduled learning and teaching can take place on any day of the week between 9am and 6pm. For undergraduate students, Wednesday afternoons are normally reserved for sports and cultural activities, but there may be occasions when this is not possible.
The purpose of the module is to enable you to undertake a sustained, in-depth and research-informed project exploring an area that is of personal interest to you. In agreement with your supervisor, you will decide upon your topic which will take the form of a practical outcome (artefact) with accompanying contextual material. The main consideration when choosing your topic is that it must be aligned to the programme you are studying, and you should consider the relevance of this topic to your future academic or professional development. Deep learning, which is considered as the state-of-the-art in data science and AI, is inspired by the structure of human brain.
Is AI engineer a good career?
AI specialists often enjoy higher-than-average salaries and excellent career growth prospects. Broad Range of Applications: AI has a wide range of applications, making it a versatile career path.
In your final year, you will study advanced subjects which build on your first and second year studies. Units may cover data governance and management, deep learning, high-performance computing, big data and, supervised by a member of academic staff, you will complete a technical large-scale technical project in line with your own interests. This module extends the students’ knowledge and skills in object-oriented application programming by a treatment of further Java language principles and of important Application Programming Interfaces (APIs).
You have the whole semester to build a working collaborative project either individually, or you can opt to work in a team, and produce a report on how it supports collaboration according to CCT theory. The primary focus is on building a working application, and so existing strong programming ability is required. You will cover the programming material and concepts necessary to obtain an understanding of the C++ programming language. You will spend around four hours per week in lectures and computer classes and will be expected to take additional time to practice and to produce your coursework.
With a skillset that combines both technical and analytical know-how from our School of Computer Science and Electronic Engineering, you will be able to find employment in very competitive institutions in a wide range of disciplines. Our School of Computer Science and Electronic Engineering is one of the largest and best resourced in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
You could also have an opportunity to work on the Staffordshire Digital Innovation Partnerships programme (SDIPS). SDIP is a collaborative project between Staffordshire University and Staffordshire County Council. SDIPs aims to improve business processes and support the development of new to market products and services using innovative digital technologies.
Training as an AI professional will not only offer you an intellectually-challenging career, but you can expect to join some of the highest paid IT professionals in the industry. Studying our course will get you set to take advantage of a wide variety of career opportunities provided by AI. You have many options open to you including a job in industry, taking a more entrepreneurial route or going into AI research. Our support includes access to fantastic facilities, study tools and career consultants, plus practical help to access everything from funding to childcare.
Akira Summers has been working in software and technological development since the year 2000. Starting off in web development and interactive media, she has held many development roles and spent several years working as an embedded game programmer, multimedia developer and learning technologist. Your learning culminates into an Individual Honours Project where you display your learning by developing a well-rounded, professionally developed, artificial intelligence driven software solution for a problem of modern relevance. It covers three stages of the software engineering life-cycle, requirements, design and implementation, but with a focal point on design and an emphasis on the design theme. The project provides you with an opportunity to be part of a thriving community of innovators that practices connected learning. This is facilitated by putting you into inter-disciplinary project teams supported by innovation mentors, advisors and academics; culminating in you exhibiting your work to an international panel of experts.
We often link up with external professionals too, helping to enhance your learning and build valuable connections to the working world. Whether you’ve already made your decision about what you want to study, or you’re just considering your options, there are lots of ways you can meet us and find out more about student life at Manchester Met. Our staff travel the world to speak to people about the courses on offer at Essex. Take a look at our list of exhibition dates to see if we’ll be near you in the future.
Alongside the subject-specific knowledge you will gain during the programme, you will also develop professional skills such as communication, teamwork, critical thinking and research. These will enhance your CV, allowing you to improve your career prospects and access more senior roles. Our country/region pages include information on entry requirements, tuition fees, scholarships, student profiles, upcoming events and contacts for your country/region.
Do I need to learn C++ for AI?
AI Programming With C++
It executes code quickly, making it an excellent choice for machine learning and neural network applications. Many AI-focused applications are relatively complex, so using an efficient programming language like C++ can help create programs that run exceptionally well.