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BSc (Hons) Artificial Intelligence

De Montfort University, United Kingdom
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Course Overview

The BSc (Hons) Artificial Intelligence course at De Montfort University is designed to provide students with a comprehensive understanding of the principles and practices of artificial intelligence. The program covers a wide range of topics, including machine learning, computer vision, natural language processing, and robotics. Students will learn how to design, develop, and implement AI systems, as well as understand their ethical and social implications. The course is delivered through a combination of lectures, seminars, and practical sessions, providing students with hands-on experience in AI development. Graduates of this program will be well-prepared to pursue careers in AI research, software development, or data analysis.

Additional Information

De Montfort University is a leading institution for AI research and has a strong reputation in the field. The university's Computer Science department has a dedicated AI research group, which provides students with access to state-of-the-art facilities and expertise. The course also offers opportunities for collaboration with industry partners, providing students with valuable real-world experience.

Unlock Your Potential in Artificial Intelligence at De Montfort University

De Montfort University is the perfect choice for students interested in artificial intelligence due to its strong reputation in the field and extensive research opportunities. The university's location in Leicester provides access to a diverse range of industries, including healthcare, finance, and transportation, offering students valuable real-world experience and networking opportunities. Additionally, De Montfort University offers a range of scholarships and bursaries to help support students financially.

Why You Should Study This Course

This title change follows a review of the program and has been made to better reflect the content of the program and terminology used within the industry, as well as to ensure that our students are well placed to secure graduate employment. The artificial intelligence industry is fast-growing and touches so many aspects of society, from business operations to our everyday lives. In this course, you will gain a detailed understanding of artificial intelligence concepts and techniques, and learn to use this knowledge to address contemporary problems and challenges such as the use of microprocessor-based systems to control home appliances and the detection and resolution of collisions in applied mechanics. With us, you will develop fundamental skills, such as learning the powerful general-purpose programming language C++, and experience in-depth study of computer networks and systems. Using artificial intelligence code, you will learn how to control advanced mobile robots in our purpose-built laboratory.

General Eligibility

  • Five GCSEs at grade C or above, including English and Mathematicsor equivalent, plus one of the following:

  • Normally 104 UCAS points from at least two A-levels or equivalent or

  • BTEC National Diploma/ Extended Diploma at DMM or

  • Pass in the QAA accredited Access to HE. English and Mathematics GCSE required as a separate qualification as equivalency is not accepted within the Access qualification. We will normally require students to have had a break from full-time education before undertaking the Access course or

  • International Baccalaureate: 24+ points

  • Foundation Year in Computing: Pass Foundation, and progression is at the discretion of the programme leader. Refer to the Foundation team for further guidance.

Part Time Work Details

20 Hours of Work permit weekly for international students.

What You'll Study

1 Year 1
  • Block 1: Database Design and Implementation

  • Block 2: Fundamental Concepts of Computer Science

  • Block 3: Computer Programming

  • Block 4: Operating Systems and Network

2 Year 2
  • Block 1: Computational Intelligence and Computer Systems

  • Block 2: Intelligent Robotics

  • Block 3: Applied Artificial Intelligence

  • Block 4: Agile Team Development

3 Year 3
  • Block 1: Agent Based Modelling and Parallel Computing

  • Block 2: Big Data and Machine Learning

  • Block 3 & 4: Development Project

  • Block 3 & 4: Fuzzy Logic and Inference Systems

Language Requirement

  • IELTS5.5
  • TOEFL59
  • PTE50
  • Duolingo69
If English is not your first language then an IELTS score of 6.0 overall with a minimum of 5.5 in each component (or equivalent) is essential.

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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