A four-year degree covering software, data science, machine learning, security and other areas of modern computing. Suited to students wanting careers in software development or other technical computing roles.
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Check your fitMatch your level, budget, intake and preferences.
Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.
01Academic route
Your qualification fit
Sri Lankan A-levels: BCC for business, arts and social sciences (B where good performance in a subject is required); science needs two science subjects (or science and maths); engineering needs B in maths plus physics, D&T, engineering or chemistry; Medicine AAA. ABB+ (AAB for Biomedical Science, AAB with A in maths and physics for engineering) may allow direct entry to Year 2.
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Scholarship information
Potential funding at University of Aberdeen
The Aberdeen Global Scholarship gives new self-funded international on-campus students £6,000 off tuition every year of an undergraduate degree (2026/27 and 2027/28 entry) or an £8,000 tuition waiver for a taught master's; it is applied automatically to eligible students.
Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.
Programme overview
A clearer look at BSc Computing Science
A four-year degree covering software, data science, machine learning, security and other areas of modern computing. Suited to students wanting careers in software development or other technical computing roles.
This 48-month undergraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.
Course focus
What you can expect to explore
Data preparation, exploration and visualisation
Statistical modelling and machine-learning methods
Turning complex evidence into useful decisions
Machine learning and intelligent systems
Skills development
Capabilities you can build
Python or analytical programming
Statistical reasoning
Data visualisation
Model evaluation and communication
The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.
Learning experience
How you may learn
Applied work such as case studies, workshops, projects or problem-based tasks.
Independent study and progressively more complex assignments or projects.
Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?
A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.
Career direction
Where it may lead
Relevant career directions may include:
Data scientist
Data analyst
Business intelligence analyst
Machine-learning or analytics specialist
These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.
Course contents
Published course content for this programme.
23 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.
01
Getting Started at the University of AberdeenModule PD1002
02
Programming 1Module CS1032
03
Modelling and Problem Solving for ComputingModule CS1029
04
Web DevelopmentModule CS1534
05
Object - Oriented ProgrammingModule CS1527
06
Software ProgrammingModule CS2020
07
Databases and Data ManagementModule CS2019
08
Human - Computer InteractionModule CS2506
09
Algorithms and Data StructuresModule CS2522
10
Artificial IntelligenceModule CS3033
11
Operating SystemsModule CS3026
12
Principles of Software EngineeringModule CS3028
13
Distributed Systems and SecurityModule CS3524
14
Software Engineering and Professional PracticeModule CS3528
15
Languages and ComputabilityModule CS3518
16
Introduction to Machine Learning and Data MiningModule CS4049
17
Data EngineeringModule CS4042
18
Natural Language ProcessingModule CS4051
19
RoboticsModule CS4048
20
Research MethodsModule CS4040
21
SecurityModule CS4028
22
Single Honours Computing ProjectModule CS4527
23
Professional Practice in Computing ScienceModule CS4530
Entry requirements
Can I apply?
Academic
A-level standard offer BBC with Mathematics or two sciences; Sri Lankan A-levels: BCC with two science subjects (or one science and maths)
Sri Lankan qualifications
Sri Lankan A-levels: BCC for business, arts and social sciences (B where good performance in a subject is required); science needs two science subjects (or science and maths); engineering needs B in maths plus physics, D&T, engineering or chemistry; Medicine AAA. ABB+ (AAB for Biomedical Science, AAB with A in maths and physics for engineering) may allow direct entry to Year 2.
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Course information checked October 2026 from the official course page on abdn.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Aberdeen before you apply. Global Educational Consultants is an independent consultancy.
BSc Computing Science at University of Aberdeen | Fees & Entry | GEC