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Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)
Image from Mathematics, Artificial Intelligence, and Real-world Systems (MARS)

Master of Science (with Honours) - Msci (Hon)

Mathematics, Artificial Intelligence, and Real-world Systems (MARS)

Lancaster University

(3.8)
100 reviews

Entry requirements

Here's what you will need to get a place on the Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course at Lancaster University.

Select a qualification to see required grades

A level

A*,A,A

A*AA including A level Mathematics or Further Mathematics OR AAA including A level Mathematics and Further Mathematics

Most popular A-levels studied

The Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course at Lancaster University 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
Mathematics
Computing
SubjectGrade
MathematicsA
Computer ScienceB
PhysicsB
Further MathematicsA
BiologyB
SubjectGrade
MathematicsA
Computer ScienceB
PhysicsB
Further MathematicsA
BiologyA
SubjectGrade
MathematicsA
Further MathematicsA
PhysicsB
ChemistryB
Computer ScienceA
Source: HESA

Course summary

What this course is about

UCAS code: G1I7

Here's what Lancaster University says about its Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course.

Mathematics powers Artificial Intelligence (AI) and underpins the systems that shape our world. From models that predict climate change and track diseases, to social media algorithms and generative AI like ChatGPT, mathematics is at the heart of every major innovation.Graduate talent is needed to drive these advancements, and this degree provides you with the analytical, problem-solving and reasoning skills to make an impact in a wide range of sectors.

You will build a strong mathematical foundation, just as you would in a traditional maths degree, whilst also gaining theoretical understanding and hands-on experience of AI, machine learning and real-world modelling. Working on projects inspired by government and industry, you'll tackle challenges like predicting floods, stopping infection spread and preventing cyber attacks.

With a degree in Mathematics, Artificial Intelligence and Real-world Systems (MARS), you will have the tools to forge a successful career in technologies that will dictate our futures.

What to expect

Our four-year MSci Hons Mathematics, Artificial Intelligence and Real-world Systems (MARS) degree begins by building upon your understanding of mathematical methods and concepts through a mix of lectures and workshops. You will explore a wide range of topics, from differential equations, multivariate calculus for AI and data science, probability and statistics to logic, proofs and theorems. In addition, you will study mathematical modelling and programming, learning the principles of scientific computing and gaining experience working with the R and Python programming languages. You will also learn to apply one of the most fundamental tools in modern AI research, the deep neural network, to real world datasets.

As you progress into Years 2 and 3, you will delve deeper into a range of specialist optional modules and core concepts in linear algebra and probability. You will learn to translate contemporary issues into mathematical problems, and using multivariate calculus and mathematical analysis, you will gain an understanding of the algorithms that have revolutionised machine learning and AI. These tools, along with statistical methods, will help you investigate more advanced mathematical models and their solutions.

To further develop your skills there is the opportunity to apply your knowledge to real-world problems through exciting, industry-inspired projects, where you'll work both independently and as part of a team.

Masters-level training In Year 4, you will be able to widen your knowledge and skills by selecting from a pool of Master's-level modules.These advanced modules consolidate knowledge gained throughout the programme while extending your skills to a higher level and introducing you to open problems at the forefront of research and industry.

You will also complete a major industry-linked research project, guided by your interests and supervised by an active researcher. This will cement your learning, provide you with valuable experience and position you for a career in industry or academia.

3 things our students want you to know: Lancaster has received 13 million from Research England to become a leader in the mathematics underpinning AI, so you'll be part of a community delivering solutions to problems in health, engineering, cyber security and the environment. This means that what you learn is always evolving and keeping pace with innovation Our computing and maths societies put on industry talks, guest lectures and career development opportunities Mathematical sciences at Lancaster are incredibly collaborative. You will bounce ideas around with experts, or with students from all years. Our thriving postgraduate research student community has been right where we are, asking the same questions, and there's even opportunities to talk with them and learn from them

Source: Lancaster University

Course details

Qualification

Master of Science (with Honours) - Msci (Hon)

Department

School of Mathematical Sciences

Location

Main Site | Lancaster

Duration

4 Years

Study mode

Full-time

Subjects

• Artificial intelligence

• Computer science

• Mathematics

Start date

21 September 2026

Application deadline

14 January 2026

Lancaster University student reviews

(3.8)
Based on 100 reviews from Lancaster University's students and alumni
5 star
32%
4 star
31%
3 star
25%
2 star
8%
1 star
4%
All reviews

Showing 97 reviews

3rd year student

2 years ago

Library is brilliant, cant fault it. rnFirst year accommodation was very good too, well ran and just efficient overall.

(5)
Facilities

3rd year student

2 years ago

My course was okay - I believe the course teaches you all the necessary skills needed to go into business, but I think it does scratch the surface level in quite a lot of topics. In the future, Iu2019d like it to go into further detail on topics such as Economics or Accounting.

(5)
Course

3rd year student

2 years ago

Lancaster University has been really helpful in so many ways. Financially, they offered me a grant for travel costs when I embarked on an international internship, but also are greater at settling you into campus life in first year!

(4)
Overall

1st year student

2 years ago

The bars offered are amazing and low priced. With the choice of multiple games. rnThe campaigns for student officers are very competitive and often do make change

(5)
Student Union

1st year student

2 years ago

Very very communal university as everyone lives on campus. The socials are great and take place multiple times a week. There are multiple club activities with a communal feeling

(5)
University life

1st year student

2 years ago

The accomodation is very overpriced for universityu2019s. It is old unfurbished and the bathrooms are very badly designed. They flood when you shower and you have very little space to shower. It is single bed en-suite for 177.89u00a3 and compared to other unis it is very very overpriced, I feel itu2...

(2)
Finance

National Student Survey (NSS) scores at Lancaster University

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

The Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course at Lancaster University 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
Mathematics
Computer science

Select an option to see a detailed breakdown

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

83%

med

How good are teaching staff at explaining things?

89%

med

How often do teaching staff make the subject engaging?

68%

med

How often is the course intellectually stimulating?

82%

med

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

74%

low

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

81%

med

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

79%

med

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

81%

med

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?

81%

low

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

82%

med

How often does feedback help you to improve your work?

45%

low

How often have you received assessment feedback on time?

51%

low

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

61%

low

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

90%

med

How well have teaching staff supported your learning?

87%

med

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

77%

med

How well organised is your course?

73%

med

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

92%

high

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

91%

high

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

95%

high

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

70%

med

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

87%

med

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

77%

med

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

63%

low

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

88%

med

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

85%

med

Select an option to see a detailed breakdown

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

92%

med

How good are teaching staff at explaining things?

99%

high

How often do teaching staff make the subject engaging?

78%

med

How often is the course intellectually stimulating?

94%

med

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

88%

high

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

94%

med

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

87%

med

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

85%

med

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

81%

med

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

89%

med

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

93%

med

How often does feedback help you to improve your work?

80%

high

How often have you received assessment feedback on time?

86%

med

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

77%

med

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

93%

med

How well have teaching staff supported your learning?

88%

med

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

85%

med

How well organised is your course?

89%

med

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

87%

med

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

82%

low

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

92%

med

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

68%

med

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

88%

med

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

84%

med

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

61%

low

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

94%

high

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?

82%

med

How good are teaching staff at explaining things?

89%

med

How often do teaching staff make the subject engaging?

68%

med

How often is the course intellectually stimulating?

80%

med

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

73%

med

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

81%

med

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

77%

med

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

79%

med

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

76%

med

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

81%

low

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

81%

med

How often does feedback help you to improve your work?

42%

low

How often have you received assessment feedback on time?

47%

low

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

61%

low

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

91%

med

How well have teaching staff supported your learning?

87%

med

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

76%

med

How well organised is your course?

71%

med

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

92%

high

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

92%

high

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

95%

high

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

69%

med

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

87%

med

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

75%

med

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

61%

low

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

88%

med

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

85%

med

Student information

The Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course at Lancaster University 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
Mathematics
Computing
Mode of study
Full-time100%
Gender ratio
Female14%Male85%Other1%
Where students come from
International32%UK68%
Student performance
2:1 or above76%
Number of students1,375
Mode of study
Full-time100%
Gender ratio
Female14%Male85%Other1%
Where students come from
International32%UK68%
Student performance
2:1 or above75%
Number of students1,230
Mode of study
Full-time100%
Gender ratio
Female25%Male74%Other1%
Where students come from
International13%UK87%
Student performance
2:1 or above72%
Number of students560
Source: HESA

Graduate prospects

What graduates do next

The Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course includes content from more than one subject area. Choose an option below for information about Lancaster University graduates across each of those subject areas.

Mathematical sciences
Mathematics
Computer science

Graduate statistics

70%

In a job where degree was essential or beneficial

87%

In work, study or other activity

75%

Say it fits with future plans

50%

Are utilising studies

Top job areas

15%

Administrative occupations

15%

Business, Research and Administrative Professionals

15%

Information Technology Professionals

10%

Finance Professionals

Graduate statistics

75%

In a job where degree was essential or beneficial

89%

In work, study or other activity

75%

Say it fits with future plans

50%

Are utilising studies

Top job areas

20%

Administrative occupations

15%

Business, Research and Administrative Professionals

15%

Information Technology Professionals

10%

Business and public service associate professionals

Graduate statistics

92%

In a job where degree was essential or beneficial

90%

In work, study or other activity

85%

Say it fits with future plans

85%

Are utilising studies

Top job areas

79%

Information Technology Professionals

5%

Elementary occupations

3%

Artistic, literary and media occupations

3%

Managers, directors and senior officials

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

The Mathematics, Artificial Intelligence, and Real-world Systems (MARS) course includes content from more than one subject area. Choose an option below for Lancaster University graduate earnings across each of those subject areas.

Mathematical sciences
Computing

Earnings

£27.7k

First year after graduation

£33.2k

Third year after graduation

£42k

Fifth year after graduation

Earnings

£31.4k

First year after graduation

£38k

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 Mathematics, Artificial Intelligence, and Real-world Systems (MARS).

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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Source: Lancaster University

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