AI and Data Science BSc (Hons)
Manchester Metropolitan University
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 4.1) View reviews

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Qualification

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

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Location

Main Site

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Study mode

Full Time

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Start date

SEP-25

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Duration

3 Years

Course info

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Qualification

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

Location

Main Site

Study mode

Full Time

Start date

SEP-25

Duration

3 Years

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Computer Science
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A level
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International Baccalaureate Diploma Programme
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OCR Cambridge Technical Extended Diploma
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Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
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Course info

A degree in AI and Data Science will equip you with the knowledge and skills to acquire, curate, manage, analyse, and make inferences from data for solving real-world problems. In your first year, you will study core computing topics such as programming and databases, as well as specialist subjects such as mathematics, statistics, and the principles and practice of data science. As you move into your second year you’ll progress onto more advanced topics, such as applied predictive modelling, ...Read more

A degree in AI and Data Science will equip you with the knowledge and skills to acquire, curate, manage, analyse, and make inferences from data for solving real-world problems. In your first year, you will study core computing topics such as programming and databases, as well as specialist subjects such as mathematics, statistics, and the principles and practice of data science. As you move into your second year you’ll progress onto more advanced topics, such as applied predictive modelling, algorithms and data structures, machine learning (a key topic in artificial intelligence), and the theory and implementation of alternative database models. In your final year, you’ll be ready to meet complex subjects such as deep learning, high-performance computing and big data, and you’ll turn your hand to a large-scale technical project. Alongside these subjects, you will be developing your communication and team working skills. Study artificial intelligence and data science with us and you’ll gain essential, transferable computational and statistical thinking skills to create and deploy data-driven products. We’ll equip you with the knowledge for solving challenges in a range of potential data-rich application domains, such as medicine, health, climate, transportation, marketing and sales.


FEATURES AND BENEFITS

- Specialise in the exciting and fast-growing fields of artificial intelligence and data science, gaining knowledge and skills that are highly valued by an array of tech companies. - You will study a curriculum designed with industry in mind to equip you with the range of skills and strengths that employers demand. - The four-year placement route gives you the opportunity to spend your third year on an industry placement, boosting your employment prospects on graduation. This may be subject to availability. - We are investing £115m to transform the way we teach and you learn in the Faculty of Science and Engineering. Our new Dalton building will enhance collaboration between students, staff and industry and provide improved teaching spaces, including a new computing and mathematics studio. - You will experience what it's like to work as part of a professional team, finding solutions to complex problems via group projects. You can also get involved with extracurricular work to further apply your skills, such as hackathons, gaming events and the Students’ Union computing society. - Our excellent facilities include teaching laboratories equipped with high-specification PCs with specialist, industry-standard software running on either Windows or Linux. - Our dedicated drop-in lab provides an informal social working space with regular support sessions from our programme support tutors.

Key stats

WUSCA ranking:
WUSCA student ranking
These are the 2024 rankings, based on ratings given by past and current students.
19/101
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
45th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
56th
What students say
D
Dorsa
12 Feb 24

Safe and academic environment..Read more

MV
Mayur Vijay
12 Feb 24

The professors are very good at teaching and they support us at every..Read more

Modules

Modules (Year 1)
Modules (Year 2)
Modules (Year 3)
IDP Connect

Entry requirements

Exam type

A level

A level:

BBB Grades / Points required

UCAS Tariff:

Not currently available, please contact university for up to date information.

Access to HE Diploma:

Not currently available, please contact university for up to date information.

International Baccalaureate Diploma Programme:

30 Grades / Points required

OCR Cambridge Technical Extended Diploma:

DDD Grades / Points required

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016):

DDD Grades / Points required

T Level:

M Grades / Points required

GCE A levels - grades BBB, to include minimum grade B in one of the following subjects: IT, Computer Science, Mathematics, CCEA Digital Technology, Software Systems Development or a science subject.

Please note that offers for this course are typically made based on grades rather than the UCAS tariff, dependent on the qualifications presented.

122 UCAS tariff points in Access to HE Diploma in one of the following subjects: ICT, Computing, IT, Science or Mathematics.

Pass IB Diploma with 30 points overall, or achieve minimum 120 UCAS Tariff points from three Higher Level subjects. To include HL 5 in Computing, IT, Mathematics, Chemistry, Physics or Biology. If you plan to meet the Level 2 requirement through the IB Diploma you will require HL 4 or SL 5 in English Language/English Language and Literature, and HL 4 or SL 4 in Mathematics

CTEC Level 3 Extended Diploma in Computing or IT

BTEC Level 3 National Extended Diploma in IT or Computing accepted

T level in Digital Production, Design and Development or Digital Business Services with overall grade of Merit. T levels in Digital Support Services or Science will be considered on a case-by-case basis.

Latest reviews

Latest Data Science reviews

Data Science
Data Science
D
Dorsa
12 Feb 24
MSc Data Science with Placement
Safe and academic environment...
Read more
MV
Mayur Vijay
12 Feb 24
MSc Data Science with Placement
The professors are very good at teaching and they support us at every...
Read more
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How Data Science students rated:

Student rating
( 4.8) 6 reviews
5 star
84%
4 stars
16%
3 stars
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How all students rated:

Student rating
( 4.1) 1,572 reviews
5 star
37%
4 stars
44%
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16%
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Uni info

Manchester Metropolitan University
Manchester Metropolitan University , Manchester

Manchester Met is a contemporary university which is home to one of the biggest student communities in the UK....

Student rating
( 4.1) View reviews
CUG ranking
56th
Manchester Metropolitan University
Academic Division Oxford Road All Saints Manchester M15 6BH United Kingdom
Nearest train station: Manchester Oxford Road  0.2 miles away
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