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Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence
Image from Computer Science with Artificial Intelligence

Bachelor of Science (with Honours) - BSc (Hons)

Computer Science with Artificial Intelligence

Entry requirements

Here's what you will need to get a place on the Computer Science with Artificial Intelligence course at University of Huddersfield.

Select a qualification to see required grades

A level

B,B,B

Tuition fees

LocationFees
England£9,535 per year
Scotland£9,535 per year
Wales£9,535 per year
Northern Ireland£9,535 per year
Channel Islands£9,535 per year
Republic of Ireland£9,535 per year
EU£17,600 per year
International£17,600 per year

Course summary

What this course is about

UCAS code: C473

Here's what University of Huddersfield says about its Computer Science with Artificial Intelligence course.

You may have heard of the?‘fourth industrial revolution’; AI is a fundamental technology that enables systems to transform our everyday lives.

Our Computer Science with Artificial Intelligence BSc(Hons) course is designed, therefore, to equip you with the necessary skills to be at the forefront of this technological revolution.

The course has been developed to focus on practical skills underpinned by technical theory. You’ll also specialise your knowledge around various AI themes, including robotics, knowledge graphs, and deep learning.

Why Study Computer Science with Artificial Intelligence BSc(Hons) at University of Huddersfield? In your first year, you’ll follow a core computing programme to give you a broad understanding of the subject, developing skills in programming and mathematics.

From your second year onwards, you’ll take several specialist AI modules, covering symbolic, sub-symbolic and statistical AI and their applications in natural language processing, speech, and image recognition. You also have the option to secure an industry placement in your third year.

Teaching you how to build intelligent systems, our course will help you gain the confidence to take the first step towards a potential career in the UK AI industry.

Research plays an important role in informing all our teaching and learning activities. Our academic staff are active in research?that applies Artificial Intelligence methods to solve key societal changes in areas such as healthcare, transportation, and smart cities.

As a graduate of this course, you may consider employment in a wide range of sectors including retail, engineering, construction, environmental, finance, and electronics industries.

Ready to learn more about AI computer science? If you’re keen to pursue a STEM based career, this course could provide the foundation, helping you develop skills in relation to machine learning, software development, programming and more. Studying AI could boost your career opportunities and open doors to careers with substantial earning potential, enabling you to shape the life you want in the future.

Professional Bodies Accredited by the British Computer Society (BCS), the Chartered Institute for IT, enrolment onto this course will help you on your way to registration as a Chartered IT Professional (CITP) and achieving Chartered Engineer status.

Why Huddersfield? Huddersfield’s vibrant and friendly campus is a great place from which to study, while the town itself offers lots to see and do, with good transport links in and around the area.

Course details

There are a few options in how you might study Computer Science with Artificial Intelligence at University of Huddersfield.

Check the

2 course options available.

Qualification

Bachelor of Science (with Honours) - BSc (Hons)

Department

Department of Computer Science (CEI)

Location

Main Site | Huddersfield

Duration

4 Years

Study mode

Sandwich

Subjects

• Artificial intelligence

• Computer science

Start date

September 22, 2025

Application deadline

January 29, 2025

The modules you will study

Year 1 modules include: • Introduction to Procedural Programming • Computing Science and Mathematics • Computer Network Fundamentals • Project 1 • Computer Organisation and Architecture • Introduction to Object-Oriented Programming.

To see the full range of modules and descriptions, please visit our website. A link to this course can be found at the bottom of the page in the ‘Course contact details’ section.

How you will be assessed

You’ll be taught through a combination of lectures, tutorials, seminars, workshops, and practical sessions.

Assessment is varied and includes primarily coursework, quizzes, in-class tests, presentations, and demonstrations. There are opportunities for group working, in addition to individual assessments.

Your module specification documents will provide full details of the assessment criteria applying to the modules in your course.

University of Huddersfield reviews

(4.5)
Based on 84 reviews from University of Huddersfield's students and alumni
5 star
59%
4 star
33%
3 star
6%
2 star
2%
1 star
0%
All reviews

Showing 82 reviews

1st year student

Five stars: Excellent

(5)

1 year ago

1st year student

There are many encouraging events, competitions and social activities.

(5)

1 year ago

1st year student

Four stars: Great

(4)

1 year ago

1st year student

Four stars: Great

(4)

1 year ago

1st year student

Our university has an excellent and supportive faculty

(4)

1 year ago

1st year student

My course is a blend of mechanical, Electrical and control engineering, so this engineering course unlocks the doors for many future technologies,

(5)

1 year ago

National Student Survey (NSS) scores

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Computer Science with Artificial Intelligence course at University of Huddersfield features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Computer science
Computing

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

70%

low

How good are teaching staff at explaining things?

77%

low

How often do teaching staff make the subject engaging?

58%

low

How often is the course intellectually stimulating?

72%

low

To what extent have you had the chance to bring together information and ideas from different topics?

70%

low

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

62%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

62%

low

To what extent have you had the chance to explore ideas and concepts in depth?

61%

low

To what extent does your course have the right balance of directed and independent study?

78%

med

How well have assessments allowed you to demonstrate what you have learned?

87%

med

How fair has the marking and assessment been on your course?

90%

high

How often does feedback help you to improve your work?

68%

med

How often have you received assessment feedback on time?

75%

med

How clear were the marking criteria used to assess your work?

84%

high

How easy was it to contact teaching staff when you needed to?

87%

med

How well have teaching staff supported your learning?

76%

low

How well were any changes to teaching on your course communicated?

79%

med

How well organised is your course?

71%

med

How well have the IT resources and facilities supported your learning?

93%

high

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

93%

high

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

89%

med

How clear is it that students' feedback on the course is acted on?

67%

med

To what extent do you get the right opportunities to give feedback on your course?

74%

low

To what extent are students' opinions about the course valued by staff?

71%

med

How well does the students' union (association or guild) represent students' academic interests?

75%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

79%

low

How well communicated was information about your university/college's mental wellbeing support services?

82%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

75%

low

How good are teaching staff at explaining things?

84%

med

How often do teaching staff make the subject engaging?

64%

low

How often is the course intellectually stimulating?

71%

low

To what extent have you had the chance to bring together information and ideas from different topics?

75%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

70%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

72%

low

To what extent have you had the chance to explore ideas and concepts in depth?

69%

low

To what extent does your course have the right balance of directed and independent study?

77%

med

How well have assessments allowed you to demonstrate what you have learned?

86%

med

How fair has the marking and assessment been on your course?

88%

med

How often does feedback help you to improve your work?

68%

med

How often have you received assessment feedback on time?

68%

med

How clear were the marking criteria used to assess your work?

82%

med

How easy was it to contact teaching staff when you needed to?

83%

med

How well have teaching staff supported your learning?

79%

med

How well were any changes to teaching on your course communicated?

75%

med

How well organised is your course?

68%

med

How well have the IT resources and facilities supported your learning?

84%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

87%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

82%

med

How clear is it that students' feedback on the course is acted on?

66%

med

To what extent do you get the right opportunities to give feedback on your course?

79%

med

To what extent are students' opinions about the course valued by staff?

76%

med

How well does the students' union (association or guild) represent students' academic interests?

74%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

79%

low

How well communicated was information about your university/college's mental wellbeing support services?

81%

med

Student information

The Computer Science with Artificial Intelligence course at University of Huddersfield features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computer science
Computing
Mode of study
Full-time88%Part-time12%
Gender ratio
Female11%Male88%Other1%
Where students come from
International25%UK75%
Student performance
2:1 or above75%
First year dropout rate20%
Number of students470
Most popular A-levels studied
SubjectGrade
MathematicsC
Computer ScienceB
PhysicsD
ChemistryC
Business StudiesC
Mode of study
Full-time87%Part-time13%
Gender ratio
Female15%Male84%Other1%
Where students come from
International18%UK82%
Student performance
2:1 or above76%
First year dropout rate10%
Number of students920
Most popular A-levels studied
SubjectGrade
MathematicsC
Computer ScienceB
PhysicsD
Business StudiesC
ChemistryD
Source: HESA

Graduate prospects

What graduates do next

The Computer Science with Artificial Intelligence course includes content from more than one subject area. Choose an option below for information about University of Huddersfield graduates across each of those subject areas.

Computer science
Computing

Graduate statistics

85%

In a job where degree was essential or beneficial

95%

In work, study or other activity

80%

Say it fits with future plans

65%

Are utilising studies

Top job areas

70%

Information Technology Professionals

10%

Science, engineering and technology associate professionals

5%

Administrative occupations

5%

Business and public service associate professionals

Graduate statistics

86%

In a job where degree was essential or beneficial

84%

In work, study or other activity

75%

Say it fits with future plans

66%

Are utilising studies

Top job areas

62%

Information Technology Professionals

12%

Science, engineering and technology associate professionals

8%

Business and public service associate professionals

5%

Administrative occupations

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

Earnings from University of Huddersfield graduates who took Computer Science with Artificial Intelligence - or another course in the same subject area.

Computing

Earnings

£22.6k

First year after graduation

£26.3k

Third year after graduation

£30.3k

Fifth year after graduation

Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Computer Science with Artificial Intelligence.

Source: LEO

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree

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