BSc (Hons) Data Science

Undergraduate, Full-time

Data Science BSc (Hons)

The first Data Science undergraduate course in Scotland, with built-in work experience.


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 aims to teach you the theory and practical elements of data science: 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.

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.

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Mode of Study:



4 years

Start date:


UCAS code:


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Course details

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.

  • calendar How you’ll be taught You will be taught through lectures and hands-on lab sessions.
  • note and pen Assessments You will be assessed through a mixture of practical assessments, reports, academic essays and exams.
  • briefcase Work placement A one year supervised work placement is available, intended to provide relevant work experience. 

    This work placement takes place in Year 3, conditional upon being accepted by an employer on an approved work-based placement. The School has a dedicated Placement Coordinator who supports you through the application process. 

    Work placements are an opportunity to develop skills for the workplace that employers value.

Popular modules

Year 1

  • Foundations of Software Design and Development
  • Computer Systems
  • Information Systems in Organisations
  • Maths 
  • Scripting for Data Science
  • Introduction to Human Computer Interaction

Year 2

  • Fundamentals of Machine Learning
  • Database Systems
  • Operating Systems
  • Web Technologies
  • Software Engineering Methods
  • Algorithms and Data Structures

Year 3

  • Data Analytics
  • Artificial Intelligence
  • Interactive Data Visualisation
  • Computing in Contemporary Society
  • Advanced Database Systems
  • Group Project

Year 4

  • Advanced Machine Learning
  • Data Management and Processing
  • Computational Intelligence
  • Data Wrangling
  • Honours Project

Entry requirements

Entry requirements

Our entry requirements indicate both Standard and Minimum qualifications with which we normally accept students. Competition for places varies from year to year and you aren't guaranteed a place if you meet the minimum qualifications.

Minimum year 1

SQA Higher

Standard Entry Requirement

BBBB to include Maths or Physics.

National 5 grade C in Maths and English.

Minimum Offer Entry Requirement

BBCC to include Maths or Physics at grade B.

National 5 grade C in Maths and English.

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 to include Maths or Physics.

GCSE grade C/4 in Maths and English.

Irish Leaving Certificate

Pre-2017 Grading System:

B1, B1, B3, B3 at Higher Level to include Maths or Physics and grade C2 in Ordinary Level Maths and English.

New Grading System:

H2, H2, H3, H3 at Higher Level to include Maths or Physics and grade O4 in Ordinary Level Maths and English.

BTEC (QCF) Extended Diploma Level 3

Minimum grades DMM (Distinction, Merit, Merit) in a related subject.

GCSE grade C/4 in Maths and English.

International Baccalaureate Diploma

Award of Diploma with 28 points overall with three HL subjects at grades 6, 5, 4 to include Maths or Physics at grade 5.

Grade 4 in SL Maths and English.

European Baccalaureate

Pass at 70% or above with grade 7 in three subjects to include Maths or Physics.

Grade 6 in Maths and English.

English language requirements

If your first language isn't English, you'll normally need to undertake an approved English language test and our minimum English language requirements will apply.

This may not apply if you have completed all your school qualifications in English. Check our country pages to find out if this applies to you.

International students

We welcome applications from students studying a wide range of international qualifications.
Entry requirements by country

Please note that non-EU international students are unable to enrol onto the following courses:
  • BN Nursing/MN Nursing (Adult, Child, Mental Health or Learning Disability)
  • BM Midwifery/MM Midwifery

Admissions policies

We’re committed to admitting students who have the potential to succeed and benefit from our programmes of study. 

Our admissions policies will help you understand our admissions procedures, and how we use the information you provide us in your application to inform the decisions we make.

Undergraduate admissions policies
Postgraduate admissions policies

Fees & funding

The course fees you'll pay and the funding available to you will depend on a number of factors including your nationality, location, personal circumstances and the course you are studying. We also have a number of bursaries and scholarships available to our students.

Tuition fees
Students from 2020/21 2021/22
Scotland £1,820 £1,820
England Wales and Northern Ireland (RUK) £9,250 £9,250
Overseas £13,360 tba

Students from England, Wales, and Northern Ireland will be invoiced the tuition fees for 3 years of their 4 years of study. Please note that the tuition fee status of EU nationals commencing their studies in 2021/2 has yet to be confirmed by the Scottish Government following the UK's withdrawal from the European Union and will be published once known. For EU students commencing their studies in 2020/21 fees will remain the same as Scottish Students.

Please note tuition fees are subject to an annual review and may increase from one year to the next.
For more information on this and other Tuition Fee matters please see Frequently Asked Questions about Fees

Click this link for Information of Bursaries and Scholarships

If additional compulsory costs other than the tuition fees are applicable, these will be detailed in the course details.


With a degree in Data Science you can expect to find employment in:

  • Data science
  • Software development
  • Data analysis
  • Systems analysis
  • Data engineering  
  • Other opportunities in technology-focused organisations
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