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Course summary

**Please note that the information provided relates to the current academic year and is subject to change without notice by Sheffield Hallam University. Please check the Sheffield Hallam University website for the latest information.** Course summary

  • Learn the skills to write the software of tomorrow alongside our partners in industry
  • Develop AI applications to solve real-world problems
  • Create complex software using analytical and mathematical approaches
  • Understand the fundamental principles behind the software that powers our world
You will develop a deep understanding of practical computation, including key concepts in the machine learning domain. You'll become a programmer who understands and can build upon the fundamental principles behind the software that underpins modern society across a variety of platforms and domains using different programming languages. How you learn All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive. This course starts by helping you to develop practical skills in developing software applications through lectures and hands-on tutorial sessions. During these sessions, you will build your understanding of how and when to use appropriate processes, tools, and technologies. For example, choosing the right machine learning approach to deliver an artificial intelligent solution given the training data available. These fundamental skills will then be further developed by introducing you to real-world projects. As part of these projects, you will collaborate in small teams to produce software prototypes/projects introduced and inspired by industry. As part of your final year, you will create a significant software deliverable, guided by a dedicated project supervisor. During this individual project, you will undertake research and apply new skills as you create a software product you can be proud of. The combination of learning methods across the course allows you to develop a range of skills through problem-solving activities, practical implementation, and teamwork, allowing you to take an active approach to learning and encouraging self-development. You learn through:
  • lectures
  • hands-on lab sessions and tutorials
  • regular feedback
  • teamwork and group-based learning
  • applied learning
  • discussions
  • self-study
**Applied learning Work placements** You will have the opportunity to arrange an optional year-long work placement between your second and third years. This gives you a real-world experience to prepare you for your future career by immersing yourself in the industry you have been learning about. You are supported by placement tutors and a placement team through the process of successfully securing a placement and then while on placement. Live projects All years of your study are designed with applied learning in mind using industry-based or inspired projects. These projects will challenge you to solve real-world problems, while developing team and project management skills. By working with real companies, you can test your interpersonal, time management and technical skills. Students have often found placements as a result of being recognised for the excellent work they have done for these live projects with the host company. Networking opportunities Employers and industry practitioners are an influential part of the design, content and teaching of the course. The employability focus of the course is supported by the frequent involvement of employers and IT professionals alongside the live projects we provide.


Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. You will be able to complete a placement year as part of this course. See the modules table below for further information. Year 1 Compulsory modules Databases And The Web Fundamentals Of Mathematics And Computer Architectures Programming For Computer Science Software Projects Elective modules Foreign Language Year 2 Compulsory modules Advanced Programming Algorithms And Data Structures Artificial Intelligence And Machine Learning 1 Networked Software Development Professional Software Projects Year 3 Optional modules Placement Year Final year Compulsory modules Artificial Intelligence And Machine Learning 2 Concurrent And Parallel Systems Project (Technical Computing) Software Architecture And Design Elective modules Contemporary Software Engineering Machine Learning Algorithms and Heuristics Robotics Secure Software Engineering

Assessment method

Coursework Exams

How to apply

Application codes

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Points of entry

The following entry points are available for this course:

  • Year 1

This course may be available at alternative locations, please check if other course options are available

Entry requirements

Qualification requirements

Please note the University will only admit students who are aged 18 or above at the point of enrolment.

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

English language requirements

TestGradeAdditional details
IELTS (Academic)6If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

Unistats information

Operated by the Office for Students

There is no data available for this course. For further information visit 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 £15860 Year 1
International £15860 Year 1

Additional fee information

Please refer to our website for up-to-date information on costs and fees:
Computer Science with Artificial Intelligence at Sheffield Hallam University - UCAS