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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* per level international students | UK students: £9,250 per level
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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.
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.
Modules
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.
The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to students promptly.
Special Features
There is a range of equipment for loan, including Raspberry Pi devices, smartphones, robots, and virtual reality equipment such as HTC Vive and Oculus Quest.
Students in this course are taught by academics whose research has been internationally recognised. Researchers in the School include Marc Hanheide, Professor of Intelligent Robotics and Interactive Systems, and Nigel Allinson MBE, Distinguished Professor of Image Engineering, who has been supported with a £3.3 million grant from the UK’s Engineering and Physical Sciences Research Council for advances in medical imaging.
The School is also a Microsoft Imagine Academy member and Cisco Academy member, which gives students the opportunity to gain industry-recognised qualifications such as Microsoft Technologies Associate and Cisco certification.
Placements
This programme is optionally available in a sandwich mode variant. If students choose the sandwich placement option, they take a year out in the industry between the second and third years. This provides the opportunity to gain industrial experience. Students are supported throughout their placement, which can be overseas. Students are required to pay for their own travel, accommodation, and general living costs while on placements and study visits. There is no tuition fee for the placement year.
There are also opportunities to take shorter work placements, for example over the summer period, and to be involved in systems development projects for real industry clients.
Fees and Scholarships
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.
Entry Requirements
United Kingdom
- A Level: BBC (112 UCAS Tariff points from a minimum of 3 A levels or equivalent qualifications).
- International Baccalaureate: 29 points overall
- BTEC Extended Diploma: Distinction, Merit, Merit or equivalent.
- T Level: Merit
- Access to Higher Education Diploma: 45 Level 3 credits with a minimum of 112 UCAS Tariff points.
- A combination of qualifications may include A Levels, BTEC, and EPQ.
- Applicants will also need at least three GCSEs at grade 4 (C) or above, which must include English and Maths. Equivalent Level 2 qualifications may also be considered.
The University accepts a wide range of qualifications as the basis for entry. We will also consider applicants with extensive and relevant work experience and will give special individual consideration to those who do not meet the standard entry qualifications.
International
Non-UK Qualifications:
If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages for information on equivalent qualifications.
International students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element.
Career Opportunities
This degree aims to equip graduates with the mathematical, analytical, and problem-solving skills that make them well-placed for computer and technology-related roles across a range of sectors. Recent School graduates have secured roles at GCHQ and major companies including IBM, Bloomberg, PwC, J.P. Morgan, Cisco, Sky, and G4S. Some graduates may wish to pursue academic careers and study at the postgraduate level.
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.