Data Science, BSc

In this section
Data Science, BSc

Introduction

Are you excited by the rapid advancements in big data, predictive analytics, and AI technologies such as ChatGPT? Are you looking to study a subject that can unlock tremendous social and economic benefits and is highly sought after by employers?

The BSc Data Science programme equips you with the skills for an exciting career in data analytics, data engineering, machine learning or AI.

Study Information

At a Glance

Learning Mode
On Campus Learning
Degree Qualification
BSc
Duration
48 months
Study Mode
Full Time
Start Month
September
Location of Study
Aberdeen
UCAS Code
G403

Data scientists use technical analysis, design, and programming skills to tackle a wide variety of challenges, ranging from mitigating climate change and detecting diseases to optimising production processes and enhancing customer experiences.

In recent years, data science has experienced a revolution with advancements in big data, predictive analytics and AI technologies such as ChatGPT and Bard AI. While these developments have improved how organisations automate processes, forecast trends, and engage with customers, the growing volume and complexity of data available presents new challenges to how we can leverage its true power.

To overcome this challenge, organisations look to data scientists who have the advanced data analysis and modelling skills to extract meaningful insights from data. The Data Science degree programme is designed to address this challenge. You will learn essential data analysis and modelling skills, including programming, statistics, software engineering, data curation, and more. The topics you study will also provide you with advanced knowledge and techniques applicable to artificial intelligence, machine learning, deep learning, distributed systems and cybersecurity.

Throughout the programme, you will have opportunities to further enhance your employability by engaging with the legal and ethical standards relating to data while also learning how to effectively communicate data-driven ideas and solutions.

What You'll Study

Year 1

Compulsory Courses

Getting Started at the University of Aberdeen (PD1002)

This course, which is prescribed for level 1 undergraduate students and articulating students who are in their first year at the University, is studied entirely online, is studied entirely online, takes approximately 2-3 hours to complete and can be taken in one sitting, or spread across the first 4 weeks of term.

Topics include University orientation overview, equality & diversity, MySkills, health, safety and cyber security, and academic integrity.Successful completion of this course will be recorded on your Transcript as ‘Achieved’.

Programming 1 (CS1032)

15 Credit Points

This course will be delivered in two halves. The first half will provide a self-contained introduction to computer programming. It will be accessible to all undergraduates. Students will be exposed to the basic principles of computer programming, e.g. fundamental programming techniques, concepts, algorithms and data structures. The course contains lectures where the principles are systematically developed. As the course does not presuppose knowledge of these principles, we start from basic intuitions. The second half will be particularly of use to those studying Science and Engineering subjects, broadly interpreted, as well as Computing and IT specialists. It will include a gentle introduction to professional issues and security concepts.

Calculus 1 (MA1005)

15 Credit Points

Calculus is the mathematical study of change, and is used in many areas of mathematics, science, and the commercial world. This course covers differentiation, limits, finding maximum and minimum values, and continuity. There may well be some overlap with school mathematics, but the course is brisk and will go a long way quickly.

Algebra (MA1006)

15 Credit Points

This course introduces the concepts of complex numbers, matrices and other basic notions of linear algebra over the real and complex numbers. This provides the necessary mathematical background for further study in mathematics, physics, computing science, chemistry and engineering.

Object - Oriented Programming (CS1527)

15 Credit Points

This course will build on the basic programming skills acquired in the first half-session and equip the students with advanced object oriented programming knowledge, implementation of data structure and algorithms, and basic software engineering techniques. The students will be challenged with more complicated programming problems through a series of continuous assessments.

Calculus II (MA1508)

15 Credit Points

The aim of the course is to provide an introduction to Integral Calculus and the theory of sequences and series, to discuss their applications to the theory of functions, and to give an introduction to the theory of functions of several variables.

This provides the necessary mathematical background for further study in mathematics, physics, computing science, chemistry and engineering.

Understanding Data (ST1506)

15 Credit Points

This is a statistics course open to all first and second year students. It is a useful course for students whose degree subject involves some amount of statistical analysis. The course teaches students how to summarise data effectively and how to correctly interpret it. Among the topics covered are sampling strategies, probability theory, confidence intervals and hypothesis tests. There are also weekly computer practicals using the statistics software RStudio. The mathematical context is emphasised but students are not expected to have a high level of maths.

Optional Courses

Plus 30 credit points from courses of your choice.

Year 2

Compulsory Courses

MA2511 Applied Linear Algebra

Databases and Data Management (CS2019)

15 Credit Points

Databases are an important part of traditional information systems (offline /online) as well as modern data science pipelines. This course will be of interest to anyone who wishes to learn to design and query databases using major database technologies. The course aims to teach the material using case studies from real-world applications, both in lectures and lab classes.

In addition, the course covers topics including management of different kinds of data such as spatial data and data warehousing. The course provides more hands-on training that develops skills useful in practice.

Software Programming (CS2020)

15 Credit Points

This course is concerned with tools and techniques for scalable and dependable software programming. It focusses primarily on the Java programming language and related technologies. The course gives extensive programming practice in Java. It covers in depth features of the language and how best to use them, the execution model of the language, memory management, design principles underpinning the language, and comparisons with other languages. Tools for collaboration, productivity, and versioning will also be discussed.

Probability (MA2010)

15 Credit Points

Probability theory is concerned with the analysis of random phenomena by providing an abstract mathematical framework to study them within the language of set theory. This is done by the concepts of "probability spaces" and "random variables". The theory began in the 16th century in attempts to analyze games of chance; In 1812 Pierre Simon Laplace wrote: "It is remarkable that a science which began with the consideration of games of chance should have become the most important object of human knowledge."

The course is recommended to anyone interested in the foundations and applications of mathematics.

Algorithms and Data Structures (CS2522)

15 Credit Points

This course provides the knowledge needed to understand, design and compare algorithms. By the end of the course, a student should be able to create or adapt algorithms to solve problems, determine an algorithm's efficiency, and be able to implement it. The course also introduces the student to a variety of widely used algorithms and algorithm creation techniques, applicable to a range of domains. The course will introduce students to concepts such as pseudo-code and computational complexity, and make use of proof techniques. The practical component of the course will build on and enhance students' programming skills.

Human - Computer Interaction (CS2506)

15 Credit Points

This course looks at why a computer system that interacts with human beings needs to be usable. It covers a set of techniques that allow usability to be taken into account when a system is designed and implemented, and also a set of techniques to assess whether usability has been achieved. Weekly practical sessions allow students to practice these techniques. The assessed coursework (which is normally carried out by groups of students) gives an opportunity to go through the design process for a concrete computer system, with a particular focus on ensuring usability.

Dynamical Phenomena (PX2015)

15 Credit Points

Understanding oscillatory and wavelike behaviour is of huge importance in comprehending how our natural world works. It seems that everything in nature has its own cycle, rhythm or oscillation. From planets revolving around the sun to waves on the sea, even fundamental particles are treated as waves in modern physics. Accessible to students with some knowledge of calculus, this course will explain the mathematics of this fascinating and important subject. Methods of solving the differential equations that describe waves and oscillatory phenomena will be explored, including numerical techniques.

Optional Courses

Plus 15 credit points from courses of choice

Year 3

Compulsory Courses

PX30SC (Professional Skills for Sciences)

Principles of Software Engineering (CS3028)

15 Credit Points

Students will develop large commercial and industrial software systems as a team-based effort that puts technical quality at centre stage. The module will focus on the early stage of software development, encompassing team building, requirements specification, architectural and detailed design, and software construction. Group work (where each team of students will develop a system selected using a business planning exercise) will guide the software engineering learning process. Teams will be encouraged to have an active, agile approach to problem solving through the guided study, evaluation and integration of practically relevant software engineering concepts, methods, and tools.

Artificial Intelligence (CS3033)

15 Credit Points

The course provides an introduction to Artificial Intelligence (AI). It discusses fundamental problems of AI and their computational solution via key concepts.

Software Engineering and Professional Practice (CS3528)

15 Credit Points

In this module, which is the follow-up of CS3028, students will focus on the team-based development of a previously specified, designed, and concept-proofed software system. Each team will build their product to industrial-strength quality standards following an agile process and applying the software engineering concepts, methods, and tools introduced in CS3028. The course includes a series of mandatory participatory seminars on professional and management issues in IT and IT projects. Students will be expected to relate their engineering work to these issues.

Enterprise Computing and Business (CS3525)

15 Credit Points

This course provides insight into the business reasons for large software systems such as loyalty card systems, backend systems integrating firms and their suppliers and larges systems that integrate payroll, finance and operational parts of a business. You also learn the entrepreneurial aspects of business during the practical sessions where you explore and develop your own business application idea using service design and lean startup approaches centred around customer development, which you will find useful in any future work. This course is open to anyone across the university and requires no programming experience.

Distributed Systems and Security (CS3524)

15 Credit Points

This course discusses core concepts of distributed systems, such as programming with distributed objects, multiple threads of control, multi-tire client-server systems, transactions and concurrency control, distributed transactions and commit protocols, and fault-tolerant systems. The course also discusses aspects of security, such as cryptography, authentication, digital signatures and certificates, SSL etc. Weekly practical sessions cover a set of techniques for the implementation of distributed system concepts such as programming with remote object invocation, thread management and socket communication.

Differential Equations (MX3536)

15 Credit Points

Differential equations play a prominent role in many disciplines including engineering, physics, economics, and biology. In this course we will study the concept of a differential equation systematically from a purely mathematical viewpoint. Such abstraction is fundamental to the understanding of this concept.

Optional Courses

Plus 15 credit points from courses of choice

Year 4

Compulsory Courses

CS4025 Natural Language Processing

CS4550 Single Honours Data Science Project

Research Methods (CS4040)

15 Credit Points

In this course, you will conduct an individual research project into the behaviour of a computing system. You will develop knowledge and understanding of rigorous methods to: explore computing system behaviour; identify questions about behaviour; design experiments to answer those questions; analyse experimental results; and report on the outcomes of your research. You will develop your understanding of research ethics and how this relates to professional behaviour.

Nonlinear Dynamics & Chaos Theory i (MX4085)

15 Credit Points

This two-part course covers the fundamentals of nonlinear dynamical systems. Often no analytical solutions exist for such systems, yet they are essential to describe many phenomena in physics, chemistry, engineering, and biology.

Part I lays out the mathematical foundations required for understanding nonlinear dynamical systems. The focus is on the dynamical behaviours exhibited by linear systems, how these describe nonlinear systems locally, and how these can model time varying natural systems.

Modelling Theory (PX4514)

15 Credit Points

This course was designed to show you what you can do with everything you learnt in your degree. We will use mathematical techniques to describe a fast variety of “real-world” systems: spreading of infectious diseases, onset of war, opinion formation, social systems, reliability of a space craft, patterns on the fur of animals (morphogenesis), formation of galaxies, traffic jams and others. This course will boost your employability and it will be exciting to see how everything you learnt comes together.

Optional Courses

Plus 15 credit points from courses of choice

We will endeavour to make all course options available. However, these may be subject to change - see our Student Terms and Conditions page.

How You'll Study

Assessment Methods

Students are assessed by any combination of three assessment methods:

  • coursework such as essays and reports completed throughout the course;
  • practical assessments of the skills and competencies they learn on the course; and
  • written examinations at the end of each course.

The exact mix of these methods differs between subject areas, years of study and individual courses.

Honours projects are typically assessed on the basis of a written dissertation.

Why Study Data Science?

  • This programme is designed to take advantage of the growing demand for data scientists across almost every industry sector today including energy, finance, health, government, retail, mining and manufacturing.
  • We go beyond classical software engineering, user experience, statistics and data analysis to teach students how to apply logical thinking, machine learning and computer algorithms to come up with solutions to problems faced across many academic disciplines and industry sectors.
  • The Aberdeen University Artificial Intelligence Society and the Aberdeen University Computing Society provide a forum for students to share their interest and expertise in computing through workshops, guest talks, coding challenges and social events
  • Computing at Aberdeen has strong links with industry organisations who support our teaching through case studies within lectures and seminars and prizes (including for example Amazon, CGI and ScotlandIS).
  • You will learn both the theory and the practice of data science with special emphasis given to Artificial Intelligence Systems and Knowledge Technologies. We also focus on developing your teamwork, leadership and entrepreneurship skills in preparation for your career.
  • The Aberdeen Software Factory is a student-run software house that enables computing science
    students gain experience working on larger software projects for external clients.
  • The University of Aberdeen is a member of the Turing University Network, a network of UK universities engaged in cutting-edge teaching and research in data science and AI.

Aberdeen Global Scholarship

The University of Aberdeen is delighted to offer eligible self-funded international on-campus undergraduate students a £6,000 scholarship for every year of their programme.

View the Aberdeen Global Scholarship

Entry Requirements

Qualifications

The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.


General Entry Requirements

2024 Entry

SQA Highers

Standard: AABB*

Applicants who have achieved AABB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBB*

Applicants who have achieved BBB (or are on course to achieve this by the end of S5) are encouraged to apply and will be considered. Good performance in additional Highers/Advanced Highers will normally be required.

Adjusted: BB*

Applicants who have achieved BB, and who meet one of the widening access criteria are are guaranteed a conditional offer. Good performance in additional Highers/Advanced Highers will be required.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

More information on our definition of Standard, Minimum and Adjusted entry qualifications.

A LEVELS

Standard: BBB*

Minimum: BBC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

More information on our definition of Standard, Minimum and Adjusted entry qualifications.

International Baccalaureate

32 points, including 5, 5, 5 at HL, with two Mathematics/ Science subjects at HL.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 including a minimum of H3 from two Science or Mathematics subjects.

Entry from College

Advanced entry to this degree may be possible from some HNC/HND qualifications, please see www.abdn.ac.uk/study/articulation for more details.

2025 Entry

SQA Highers

Standard: BBBB*

Applicants who have achieved BBBB (or better), are encouraged to apply and will be considered. Good performance in additional Highers/ Advanced Highers may be required.

Minimum: BBC

Applicants who have achieved BBC at Higher and meet one of the widening participation criteria above are encouraged to apply and are guaranteed an unconditional offer for MA, BSc and BEng degrees.

Adjusted: BB

Applicants who have achieved BB at Higher, and who meet one of the widening participation criteria above are encouraged to apply and are guaranteed an adjusted conditional offer for MA, BSc and BEng degrees.

We would expect to issue a conditional offer asking for one additional C grade at Higher.

Foundation Apprenticeship: One FA is equivalent to a Higher at A. It cannot replace any required subjects.

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

More information on our definition of Standard, Minimum and Adjusted entry qualifications.

A LEVELS

Standard: BBC*

Minimum: BCC*

Adjusted: CCC*

* Including good performance in at least two Mathematics/ Science subjects by the end of your senior phase of education.

More information on our definition of Standard, Minimum and Adjusted entry qualifications.

International Baccalaureate

32 points, including 5, 5, 5 at HL, with two Mathematics/ Science subjects at HL.

Irish Leaving Certificate

5H with 3 at H2 AND 2 at H3 including a minimum of H3 from two Science or Mathematics subjects.

Entry from College

Advanced entry to this degree may be possible from some HNC/HND qualifications, please see www.abdn.ac.uk/study/articulation for more details.

The information displayed in this section shows a shortened summary of our entry requirements. For more information, or for full entry requirements for Sciences degrees, see our detailed entry requirements section.


English Language Requirements

To study for an Undergraduate degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL - 6.0 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 78 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21

PTE Academic:

OVERALL - 59 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59

Cambridge English B2 First, C1 Advanced or C2 Proficiency:

OVERALL - 169 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169

Read more about specific English Language requirements here.

Fees and Funding

You will be classified as one of the fee categories below.

Fee information
Fee category Cost
EU / International students £24,800
Tuition Fees for 2025/26 Academic Year
Self-funded international students commencing eligible undergraduate programmes in 2025/26 will receive a £6,000 tuition waiver for every year of their programme - See full terms and conditions
Home Students £1,820
Tuition Fees for 2025/26 Academic Year
RUK £9,535
Tuition Fees for 2025/26 Academic Year

Additional Fees

  • In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
  • For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our Tuition Fees page.

Scholarships and Funding

UK Scholarship

Students from England, Wales and Northern Ireland, who pay tuition fees may be eligible for specific scholarships allowing them to receive additional funding. These are designed to provide assistance to help students support themselves during their time at Aberdeen.

Aberdeen Global Scholarship

The University of Aberdeen is delighted to offer eligible self-funded international on-campus undergraduate students a £6,000 scholarship for every year of their programme. More about this funding opportunity.

Funding Database

View all funding options in our Funding Database.

Careers

According to the World Economic Forum's Future of Jobs Report 2023, the employment of data analysts and scientists, big data specialists, AI machine learning specialists and cybersecurity professionals is expected to grow on average by 30% by 2027.

According to Prospects.ac.uk, entry-level salaries for Data Scientists range from £19,000 to £25,000. With a few years' experience you could expect to earn £30,000 to £50,000, while experienced, high-level, data scientists or contractors can earn upwards of £60,000, in some cases reaching more than £100,000.

Graduates of this programme will be well placed to pursue careers such as:

  • Business Intelligence Analyst
  • Data Architect
  • Data Mining Engineer
  • Data Scientist

This LinkedIn Jobs on the Rise report listed Data Engineer as one of the fastest-growing jobs in the UK.

Our Experts

Director
Professor Marco Thiel
Other Experts
Dr Nigel Beacham
Professor M Carmen Romano
Professor Nir Oren
Dr Raja Akram

Information About Staff Changes

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. However, these may be subject to change - see our Student Terms and Conditions page.

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Get in Touch

Contact Details

Address
Student Recruitment & Admissions
University of Aberdeen
University Office
Regent Walk
Aberdeen
AB24 3FX