BSc (Hons) Computer Science with Artificial Intelligence
University of Lincoln
Key Information
Campus location
Lincoln, United Kingdom
Languages
English
Study format
On-Campus
Duration
3 - 6 years
Pace
Full time, Part time
Tuition fees
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Application deadline
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Earliest start date
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* late applications will be considered if suitable vacancies remain
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Introduction
Artificial intelligence (AI) is an exciting and wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. There is a growing requirement and reliance on computer science and artificial intelligence in modern organisations around the world in areas such as data analysis and behavioural patterns, as well as technologies such as home assistants, mobile platforms, and transportation.
Our BSc (Hons) Computer Science with Artificial Intelligence programme aims to develop confident and informed graduates who will be able to contribute to and develop these new technologies of the future. The artificial intelligence theme will focus on developing knowledge and practice in highly relevant areas such as natural language processing; nature-inspired computing; deep learning and its applications; and the ethics of artificial intelligence systems.
"This information was correct at the time of publishing (July 2023)"
Admissions
Scholarships and Funding
Going to university is a life-changing step and it's important to understand the costs involved and the funding options available before you start. For eligible undergraduate students going to university for the first time, scholarships and bursaries are available to help cover costs. The University of Lincoln offers a variety of merit-based and subject-specific bursaries and scholarships.
Several scholarship options are available. Please check the university website for more information.
Curriculum
How You Study
In the first year, students have the opportunity to study the fundamental areas of computer science. This includes operating systems, maths for computing, data science, and computer architecture.
The second year aims to build on this foundation, covering artificial intelligence, natural language processing, database systems and networking, with industry certification opportunities available to students for topics such as database systems, networking, and software development. Students will also have the opportunity to work on a group project in the Team Software Engineering module.
In the third year, students study topics such as machine learning, deep learning, Big Data, and autonomous mobile robotics. Additionally, students can choose a number of optional areas of study that are of specific interest. Third-year students will also be expected to undertake a substantial individual project on a topic of interest.
First Year
- Algorithms and Complexity (Core)
- Computer Architectures (Core)
- Foundations of Data Science (Core)
- Maths for Computing (Core)
- Object-Oriented Programming (Core)
- Operating Systems (Core)
- Programming Fundamentals (Core)
Second Year
- Advanced Programming (Core)
- Artificial Intelligence (Core)
- Cloud Computing (Core)
- Natural Language Processing (Core)
- Network Fundamentals (Core)
- Scalable Database Systems (Core)
- Team Software Engineering (Core)
Third Year
- Autonomous Mobile Robotics (Core)
- Big Data (Core)
- Cross-Platform Development (Core)
- Cyber Security (Core)
- Deep Learning (Core)
- Image Processing (Core)
- Logic and Computation (Core)
- Machine Learning (Core)
- Parallel Programming (Core)
- Project (Core)
- Virtual and Augmented Reality (Core)
† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.
How You Are Assessed
This course is assessed through a variety of means, including in-class tests, coursework, projects and examinations. The majority of assessments are coursework-based, reflecting the practical and applied nature of computer science, and in many instances are informed by the types of tasks currently undertaken in the industry.
Program Outcome
How You Study
In the first year, students have the opportunity to study the fundamental areas of computer science. This includes operating systems, maths for computing, data science, and computer architectures.
The second year aims to build on this foundation, covering artificial intelligence, natural language processing, database systems and networking, with industry certification opportunities available to students for topics such as database systems, networking, and software development. Students will also have the opportunity to work on a group project in the Team Software Engineering module.
In the third year, students study topics such as machine learning, deep learning, Big Data, and autonomous mobile robotics. Additionally, students can choose a number of optional areas of study that are of specific interest. Third-year students will also be expected to undertake a substantial individual project on a topic of interest.