Aron Molnar
Computing, MA
Introduction
Are you excited by the possibilities of quantum computing, blockchain, encryption, data science, machine learning and other emerging artificial intelligence (AI) technologies such as ChatGPT?
A degree in Computing offers excellent career prospects across a wide variety of exciting sectors from e-commerce and fintech to healthcare and telecommunications.
This MA Computing degree covers the same core computing courses as taken in the BSc Computing Science degree programme. You will also have the option to follow a range of arts-based courses.
Study Information
At a Glance
- Learning Mode
- On Campus Learning
- Degree Qualification
- MA
- Duration
- 48 months
- Study Mode
- Full Time
- Start Month
- September
- UCAS Code
- G402
- Pathway Programme Available
- Undergraduate Foundation Programme
Computing at Aberdeen encompasses both the theory and the practice of computing with particular emphasis on developing your technical analysis, design and programming skills. You will study topics including software programming, databases and data management, computer systems, artificial intelligence (AI) and cyber security and learn to apply your programming and creative problem-solving skills to a wide variety of commercial, scientific and socio-economic contexts.
Our teaching reflects how advances in computing are constantly transforming how we live, learn, work and socialise – from how we detect and treat disease or analyse business, scientific or social data to how we make online shopping easier and more secure.
You will be taught by leading researchers whose work in multi-agent systems, natural language generation, machine learning and blockchain underpins what you will learn in your lectures.
Our teaching is also heavily informed by our strong links with industry organisations, who support our students through guest lectures and seminars as well as prizes (including for example Amazon, CGI and ScotlandIS). You can also undertake a placement during your studies, which is an excellent opportunity to gain first-hand professional experience.
BSc Computer Science or MA Computing?
Both the BSc Computer Science and MA Computing contain the same core computing courses. BSc Computing Science students have the option to take further science-related courses as part of their degree while MA Computing students have the option to take other arts-based courses.
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 ScholarshipWhat You'll Study
A degree in Computing is taught via a selection of compulsory and optional courses to enhance your learning and prepare you for a future career or further study. In each year you will take courses adding up to 120 credits. Depending on the number of compulsory and optional courses offered by your degree, you can also choose other eligible courses which fit your timetable.
- Year 1
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Year 1 focusses on the foundations of computing, including how to design and implement programmes. You will also study two other subjects depending on your degree route.
Compulsory Courses
- Getting Started at the University of Aberdeen (PD1002)
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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)
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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.
- Modelling and Problem Solving for Computing (CS1029)
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15 Credit Points
This course will introduce students to techniques that support problem solving and modelling with computers, and concepts and methods that are fundamental to computing science. The techniques and concepts will be illustrated with numerous computing examples.
- Web Development (CS1534)
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15 Credit Points
Students will learn to develop modern web applications using a variety of languages and frameworks as part of their degree, and prepare them for whatever they do after graduation. A key focus will be on the integration of HTML with CSS and Javascript with other backing frameworks to develop dynamic applications. The course is open to all undergraduates, and is accessible to those with no previous experience.
- Object - Oriented Programming (CS1527)
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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.
Optional Courses
Select a further 60 credit points from courses of choice.
- Year 2
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You will be introduced to core topics in modern computing and develop significant programming skills in a number of languages.
Compulsory Courses
- Software Programming (CS2020)
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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.
- Databases and Data Management (CS2019)
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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.
- Human - Computer Interaction (CS2506)
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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.
- Algorithms and Data Structures (CS2522)
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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.
Optional Courses
Select a further 60 credit points from courses of choice.
- Year 3
-
Compulsory Courses
CS3518 Languages and Computability, plus:
- Artificial Intelligence (CS3033)
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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.
- Operating Systems (CS3026)
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15 Credit Points
This course discusses core concepts and architectures of operating systems, in particular the management of processes, memory and storage structures. Students will learn about the scheduling and operation of processes and threads, problems of concurrency and means to avoid race conditions and deadlock situations. The course will discuss virtual memory management, file systems and issues of security and recovery. In weekly practical session, students will gain a deeper understanding of operating system concepts with various programming exercises.
- Principles of Software Engineering (CS3028)
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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.
- Software Engineering and Professional Practice (CS3528)
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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.
- Distributed Systems and Security (CS3524)
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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.
Optional Courses
Select a further 30 credits from courses of choice.
This programme features four optional courses, with two per year on an alternating basis. This means that two such courses will be available in year 3 of your degree and a further two in year 4.
Those courses are:
Group A
- CS4049 Introduction to Machine Learning and Data Mining
- CS4042 Data Engineering
Group B
- CS4051 Natural Language Processing
- CS4048 Robotics
- Year 4
-
Compulsory Courses
- Research Methods (CS4040)
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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.
- Security (CS4028)
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15 Credit Points
The course provides a solid foundation in computer and information security. It will cover topics of Information and Risk, Threats and Attacks, Cybersecurity Architecture and Operations, Secure Systems and Products, Cybersecurity Management and Trustworthy Software.
- Single Honours Computing Project (CS4527)
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45 Credit Points
Consists of a supervised project which provides experience of investigating a real problem in computing science, or a computing application/technology. Learners will apply knowledge and skills gained earlier in their degree programme, and seek to go even further. Managing the project and presenting the results obtained are an integral part of the investigation.
Optional Courses
Select 45 credit points from courses of choice.
Select a further 30 credits from courses of choice.
This programme features four optional courses, with two per year on an alternating basis. This means that two such courses will be available in year 3 of your degree and a further two in year 4.
Those courses are:
Group A
- CS4049 Introduction to Machine Learning and Data Mining
- CS4042 Data Engineering
Group B
- CS4051 Natural Language Processing
- CS4048 Robotics
We will endeavour to make all course options available. However, these may be subject to change - see our Student Terms and Conditions page. In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips.
How You'll Study
Learning Methods
- Group Projects
- Individual Projects
- Lectures
- Research
- Tutorials
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 learnt on the course; and
- written examinations at the end of each course.
The exact mix of these methods differs between subject areas, year of study and individual courses.
Honours projects are typically assessed on the basis of a written dissertation.
Why Study Computing?
- Flexible degrees available, including; Single/Joint Honours BSc, MA or MSci degrees.
- Extra-curricular activities - Studying Computing is not just about programming. We run a variety of social and professional events regularly including; ACM programming Contest, Code The City and Global Service Jam.
- We send newsletters to keep you updated with exciting computing science opportunities such as networking events, career fairs, internships, placements and graduate jobs.
- The department also works closely with the Careers and Employability Service to support you with one-on-one mock interviews, CV planning, and more. We also help to organise sector career fairs in technology, business, finance, and other related areas where you get to interact directly with the employers.
- 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
- Students can also undertake industry placement during their studies, which is an excellent opportunity to gain first-hand professional experience of working in industry.
- The Aberdeen Software Factory is a student-run software house that enables students gain experience working on larger software projects for external clients.
- Some of the organisations that our graduates have gone to work for in recent years include Google, Citi Bank, Coca-Cola, Danske Bank, Disney Pixar, Morgan Stanley, Huawei, JPMorgan Chase, GE Digital and Allianz Insurance.
- 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.
What Our Students Say
Aleksandra Nenkova
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
- 2025 Entry
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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.
More information on our definition of Standard, Minimum and Adjusted entry qualifications.
A LEVELS
Standard: BBC
Minimum: BCC
Adjusted: CCC
More information on our definition of Standard, Minimum and Adjusted entry qualifications.
International Baccalaureate
32 points, including 5, 5, 5 at HL.
Irish Leaving Certificate
5H with 3 at H2 AND 2 at H3.
PLEASE NOTE: National 5/ Standard Grade/ GCSE (or equivalent) in Mathematics (or Applications of Mathematics) is required in addition to the requirements noted above.
The information displayed in this section shows a shortened summary of our entry requirements. For more information, or for full entry requirements for Arts and Social 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.
International Applicants who do not meet the Entry Requirements
The University of Aberdeen International Study Centre offers preparation programmes for international students who do not meet the direct entry requirements for undergraduate study. Discover your foundation pathway here.
Fees and Funding
You will be classified as one of the fee categories below.
| Fee category | Cost |
|---|---|
| EU / International students | |
| Tuition Fees for 2025/26 Academic Year | £20,800 |
| Tuition Fees for 2025/26 Academic Year (Self-funded Students *) | £14,800 |
| Home Students | |
| Tuition Fees for 2025/26 Academic Year | £1,820 |
| England, Wales, Northern Ireland, and Republic of Ireland | |
| Tuition Fees for 2025/26 Academic Year | £9,535 |
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
Our degrees develop an ability to understand new and complex computer systems and to communicate this to others. Our graduates can choose from a variety of employment opportunities in industry, commerce or research. Some of the organisations which employ our recent computing graduates include: Amazon, IBM, BP, Conoco, Hewlett Packard, EDS, Logica CMG, SAIC, British Telecom, QinetiQ, Microsoft, Prudential, the Health Service, and Local Councils.
Employment prospects for our graduates are excellent and, furthermore, the entrepreneurial spirit of some of our graduates has led them to establishing successful companies.
Career Opportunities
- Business Relationship Manager
- Cloud Engineer
- IT Analyst
- Junior Software Engineer
- Network Administrator
- Project Manager
- Software Developer
- Technical Support Agent
Our Experts
Find out about the experts you will be taught by.
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.
Facilities
Aberdeen Software Factory
The Aberdeen Software Factory is a student-run software house. Students can gain experience working on larger software projects and benefit from work experience, while clients will benefit from a flexible, cost effective solution to suit their needs.
Find out more
Computing Placements
Placements are encouraged and available within a range of computing firms - summer months, between second and third year, or between third and fourth year.
Discover Uni
Discover Uni draws together comparable information in areas students have identified as important in making decisions about what and where to study. You can compare these and other data for different degree programmes in which you are interested.
Get in Touch
Contact Details
- Address
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Student Recruitment & Admissions
University of Aberdeen
University Office
Regent Walk
Aberdeen
AB24 3FX