48 monthsProgramme duration
20,310 GBPTuition Fee/year
30 Jun, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Data Science is a new and rapidly expanding discipline that uses scientific approaches, business understanding, data and artificial intelligence to extract knowledge and understanding from the vast quantities of data sources that exist.
Data scientists work with data, including datasets relating to climate change, health and social media to enhance insight, to innovate and to enable data driven decision-making.
This course teaches you the the best way to learn about data science as it aims to teach you both the theory and practical elements of the subject: manipulating and analysing big data sets to draw meaning and understanding that affect our everyday lives.
From vast unstructured data to data organised as a warehouse, data is considered of strategic importance to governments, global organisations, health service providers, financial organisations, sporting organisations, educational institutions, the charity and voluntary sector and businesses in general.
Furthermore, career opportunities in the field of data are expanding, companies are looking at ways to develop technology through machine learning and data-driven analytics and require fresh talent to deliver ground-breaking results. The advantages of learning data science from undergraduate level is that you can master the fundamentals and gain that reward in the job market.
You will study a wide range of modules including data management, coding, statistical methods, data analytics, machine learning, artificial intelligence, data visualisation and data engineering.
Specialist courses are taught by expert staff who actively research applications of data science and you have an opportunity to undertake a data science research project in a topic that interests you.
This course was developed as part of the Edinburgh and South East Scotland CRD.
The course starts with a solid grounding in coding, statistics and foundation computing, including human-computer interaction and computer systems.
You will then learn about data engineering and analysis through database systems, data analytics and data visualisation.
In years three and four you will further develop your skills in artificial intelligence and machine learning and undertake an Honours project linked to emerging topics in data science.
Data scientists work with data, including datasets relating to climate change, health and social media to enhance insight, to innovate and to enable data driven decision-making.
This course teaches you the the best way to learn about data science as it aims to teach you both the theory and practical elements of the subject: manipulating and analysing big data sets to draw meaning and understanding that affect our everyday lives.
From vast unstructured data to data organised as a warehouse, data is considered of strategic importance to governments, global organisations, health service providers, financial organisations, sporting organisations, educational institutions, the charity and voluntary sector and businesses in general.
Furthermore, career opportunities in the field of data are expanding, companies are looking at ways to develop technology through machine learning and data-driven analytics and require fresh talent to deliver ground-breaking results. The advantages of learning data science from undergraduate level is that you can master the fundamentals and gain that reward in the job market.
You will study a wide range of modules including data management, coding, statistical methods, data analytics, machine learning, artificial intelligence, data visualisation and data engineering.
Specialist courses are taught by expert staff who actively research applications of data science and you have an opportunity to undertake a data science research project in a topic that interests you.
This course was developed as part of the Edinburgh and South East Scotland CRD.
The course starts with a solid grounding in coding, statistics and foundation computing, including human-computer interaction and computer systems.
You will then learn about data engineering and analysis through database systems, data analytics and data visualisation.
In years three and four you will further develop your skills in artificial intelligence and machine learning and undertake an Honours project linked to emerging topics in data science.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
Data Science is a new and rapidly expanding discipline that uses scientific approaches, business understanding, data and artificial intelligence to extract knowledge and understanding from the vast quantities of data sources that exist.
Data scientists work with data, including datasets relating to climate change, health and social media to enhance insight, to innovate and to enable data driven decision-making.
This course teaches you the the best way to learn about data science as it aims to teach you both the theory and practical elements of the subject: manipulating and analysing big data sets to draw meaning and understanding that affect our everyday lives.
From vast unstructured data to data organised as a warehouse, data is considered of strategic importance to governments, global organisations, health service providers, financial organisations, sporting organisations, educational institutions, the charity and voluntary sector and businesses in general.
Furthermore, career opportunities in the field of data are expanding, companies are looking at ways to develop technology through machine learning and data-driven analytics and require fresh talent to deliver ground-breaking results. The advantages of learning data science from undergraduate level is that you can master the fundamentals and gain that reward in the job market.
You will study a wide range of modules including data management, coding, statistical methods, data analytics, machine learning, artificial intelligence, data visualisation and data engineering.
Specialist courses are taught by expert staff who actively research applications of data science and you have an opportunity to undertake a data science research project in a topic that interests you.
This course was developed as part of the Edinburgh and South East Scotland CRD.
The course starts with a solid grounding in coding, statistics and foundation computing, including human-computer interaction and computer systems.
You will then learn about data engineering and analysis through database systems, data analytics and data visualisation.
In years three and four you will further develop your skills in artificial intelligence and machine learning and undertake an Honours project linked to emerging topics in data science.
Data scientists work with data, including datasets relating to climate change, health and social media to enhance insight, to innovate and to enable data driven decision-making.
This course teaches you the the best way to learn about data science as it aims to teach you both the theory and practical elements of the subject: manipulating and analysing big data sets to draw meaning and understanding that affect our everyday lives.
From vast unstructured data to data organised as a warehouse, data is considered of strategic importance to governments, global organisations, health service providers, financial organisations, sporting organisations, educational institutions, the charity and voluntary sector and businesses in general.
Furthermore, career opportunities in the field of data are expanding, companies are looking at ways to develop technology through machine learning and data-driven analytics and require fresh talent to deliver ground-breaking results. The advantages of learning data science from undergraduate level is that you can master the fundamentals and gain that reward in the job market.
You will study a wide range of modules including data management, coding, statistical methods, data analytics, machine learning, artificial intelligence, data visualisation and data engineering.
Specialist courses are taught by expert staff who actively research applications of data science and you have an opportunity to undertake a data science research project in a topic that interests you.
This course was developed as part of the Edinburgh and South East Scotland CRD.
The course starts with a solid grounding in coding, statistics and foundation computing, including human-computer interaction and computer systems.
You will then learn about data engineering and analysis through database systems, data analytics and data visualisation.
In years three and four you will further develop your skills in artificial intelligence and machine learning and undertake an Honours project linked to emerging topics in data science.
Admission Requirements
104+
28+
169+
6+
56+
4+
Minimum Year 1 Scottish Higher
Standard Entry Requirement: BBBB. National 5 grade C in Maths OR Applications of Maths.
Minimum Offer Entry Requirement: BBCC. National 5 grade C in Maths OR Applications of Maths. You may be given an adjusted offer of entry if you meet our specified minimum entry requirements within our widening participation criteria, and outlined in our Contextual Admissions Policy. Click here for further information about our entry requirements and admissions policies.
A Level
BCC GCSE grade C/4 in Maths. HNC
HNC in any subject with a C in graded unit In addition, National 5 Maths C
Irish Leaving Certificate
H2, H2, H3, H3 at Higher Level and grade O4 in Ordinary Level Maths. BTEC (QCF) Extended Diploma Level 3
Minimum grades DMM (Distinction, Merit, Merit) in a related subject. GCSE grade C/4 in Maths.
BTEC (QCF) National Diploma Level
Minimum grades D*D* (Distinction*, Distinction*) GCSE grade C/4 in Maths. BTEC (QCF) National Diploma Level 3 plus A Level
Minimum grades DM (Distinction, Merit) and A Level grade C GCSE grade C/4 in Maths. International Baccalaureate Diploma
Award of Diploma with 28 points overall with three HL subjects at grades 6, 5, 4 Grade 4 in SL Maths. European Baccalaureate
Pass at 70% or above with grade 7 in three subjects Grade 6 in Maths and English. T Levels
Merit - T Level with additional A Level in: Maths or Physics grade B GCSE grade C/4 in Maths.
Standard Entry Requirement: BBBB. National 5 grade C in Maths OR Applications of Maths.
Minimum Offer Entry Requirement: BBCC. National 5 grade C in Maths OR Applications of Maths. You may be given an adjusted offer of entry if you meet our specified minimum entry requirements within our widening participation criteria, and outlined in our Contextual Admissions Policy. Click here for further information about our entry requirements and admissions policies.
A Level
BCC GCSE grade C/4 in Maths. HNC
HNC in any subject with a C in graded unit In addition, National 5 Maths C
Irish Leaving Certificate
H2, H2, H3, H3 at Higher Level and grade O4 in Ordinary Level Maths. BTEC (QCF) Extended Diploma Level 3
Minimum grades DMM (Distinction, Merit, Merit) in a related subject. GCSE grade C/4 in Maths.
BTEC (QCF) National Diploma Level
Minimum grades D*D* (Distinction*, Distinction*) GCSE grade C/4 in Maths. BTEC (QCF) National Diploma Level 3 plus A Level
Minimum grades DM (Distinction, Merit) and A Level grade C GCSE grade C/4 in Maths. International Baccalaureate Diploma
Award of Diploma with 28 points overall with three HL subjects at grades 6, 5, 4 Grade 4 in SL Maths. European Baccalaureate
Pass at 70% or above with grade 7 in three subjects Grade 6 in Maths and English. T Levels
Merit - T Level with additional A Level in: Maths or Physics grade B GCSE grade C/4 in Maths.
30 Jun 2026
4 Years
Sep
Tuition fees
Domestic
1,820 GBP
International
20,310 GBP
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