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Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)
Image from Computer Science with Artificial Intelligence (with a year in industry)

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

Computer Science with Artificial Intelligence (with a year in industry)

University of York

(4.1)
169 reviews

Entry requirements

Here's what you will need to get a place on the Computer Science with Artificial Intelligence (with a year in industry) course at University of York.

Select a qualification to see required grades

A level

A,A,A

If you are studying towards a fourth A level, we will make an alternative offer of AABB. Essential Subjects: Mathematics (or equivalent) at grade B is essential.

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£31,100 per year
International£31,100 per year

Course summary

What this course is about

UCAS code: I401

Here's what University of York says about its Computer Science with Artificial Intelligence (with a year in industry) course.

Explore how computational systems can communicate, learn and reason, and understand the implications for society as a whole. Combine theory and practice to solve real-world problems in the ever-growing field of Artificial Intelligence.

This course produces multi-skilled, highly competent graduates who are equipped to become leaders in their career field and who understand the implications of their work both for themselves and for society as a whole. You will spend a year in industry, furthering your knowledge, networking and getting real-life experience. Through the programme, you will study two integrated strands of work which help you to develop both your computational thinking and your skills as an engineer. It is the combination of these two areas that will make you attractive to employers, enabling you to make an immediate contribution when you move into employment.

Course details

Qualification

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

Department

Computer Science

Location

Main Site | York

Duration

4 Years

Study mode

Full-time

Subjects

• Artificial intelligence

• Computer science

Start date

October 2025

Application deadline

January 29, 2025

University of York reviews

(4.1)
Based on 169 reviews from University of York's students and alumni
5 star
39%
4 star
35%
3 star
20%
2 star
4%
1 star
2%
All reviews

Showing 165 reviews

1st year student

Very good but could improve with including other people who may not be a drinking person

(3)

1 year ago

1st year student

Fun night life but not many shops to go around

(3)

1 year ago

1st year student

Very expensive and the aldi is very far from the east campus. There is a Nisa which is way too expensive for students living by. My accommodation cost is expensive especially living with 12 people.

(1)

1 year ago

1st year student

Very good there is the wellbeing team who can help people during their hard times. Plus there is people who can support thise who may have not found a house or not found any flatmates

(5)

1 year ago

1st year student

I like the accommodations however I dont like the people I am living with. If only they did the application where you match up people by hobbies and interests like Warick University does.

(4)

1 year ago

1st year student

I like the timetable set for them, the module may need to think about not making them all presentations. The teacher is good.

(4)

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 (with a year in industry) course at University of York 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

Computing
Computer science

Select an option to see a detailed breakdown

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

71%

low

How good are teaching staff at explaining things?

75%

low

How often do teaching staff make the subject engaging?

61%

low

How often is the course intellectually stimulating?

84%

med

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

63%

low

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?

64%

low

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

67%

low

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

58%

low

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

63%

low

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

67%

low

How often does feedback help you to improve your work?

33%

low

How often have you received assessment feedback on time?

58%

low

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

45%

low

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

91%

high

How well have teaching staff supported your learning?

74%

low

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

72%

med

How well organised is your course?

56%

low

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

88%

med

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

82%

med

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

91%

med

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

46%

low

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

70%

low

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

58%

low

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

60%

low

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

80%

low

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

76%

low

Select an option to see a detailed breakdown

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

71%

low

How good are teaching staff at explaining things?

77%

low

How often do teaching staff make the subject engaging?

61%

low

How often is the course intellectually stimulating?

85%

med

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

64%

low

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

71%

low

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

64%

low

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

67%

low

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

60%

low

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

64%

low

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

68%

low

How often does feedback help you to improve your work?

34%

low

How often have you received assessment feedback on time?

59%

low

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

45%

low

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

91%

high

How well have teaching staff supported your learning?

75%

low

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

73%

med

How well organised is your course?

57%

low

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

88%

med

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

81%

med

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

91%

med

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

47%

low

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

71%

low

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

59%

low

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

59%

low

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

80%

low

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

76%

low

Student information

The Computer Science with Artificial Intelligence (with a year in industry) course at University of York 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
Artificial intelligence
Mode of study
Full-time100%
Gender ratio
Female16%Male84%
Where students come from
International15%UK85%
Student performance
2:1 or above85%
First year dropout rate4%
Number of students755
Most popular A-levels studied
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsB
Further MathematicsB
ChemistryB
Mode of study
Full-time100%
Gender ratio
Female10%Male90%
Where students come from
International19%UK81%
Student performance
First year dropout rate3%
Number of students65
Most popular A-levels studied
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsB
Further MathematicsB
ChemistryB
Source: HESA

Graduate prospects

What graduates do next

The Computer Science with Artificial Intelligence (with a year in industry) course includes content from more than one subject area. Choose an option below for information about University of York graduates across each of those subject areas.

Computing
Computer science

Graduate statistics

91%

In a job where degree was essential or beneficial

95%

In work, study or other activity

83%

Say it fits with future plans

75%

Are utilising studies

Top job areas

86%

Information Technology Professionals

3%

Science, engineering and technology associate professionals

2%

Engineering professionals

1%

Administrative occupations

Graduate statistics

91%

In a job where degree was essential or beneficial

95%

In work, study or other activity

83%

Say it fits with future plans

75%

Are utilising studies

Top job areas

87%

Information Technology Professionals

3%

Science, engineering and technology associate professionals

2%

Administrative occupations

2%

Elementary occupations

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

Earnings from University of York graduates who took Computer Science with Artificial Intelligence (with a year in industry) - or another course in the same subject area.

Computing

Earnings

£33.6k

First year after graduation

£42.7k

Third year after graduation

£52.2k

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 (with a year in industry).

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

Discussions

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Source: University of York

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