Typical A-level offer
ABC with A in Mathematics or BBB with B in Mathematics
Are you interested in how we make sense of the terabytes of information that our computers are collecting daily? Do you want to gain the skills to predict what people will buy, or where we need to put more resource for efficiency and organisation? There is a rapidly growing demand for people who can analyse and make sense of the data that is now available. This degree is engineered to give you a head-start in the competitive job market through the integrated year in industry.
Department of Computer Science: 92% overall satisfaction for the course Computer Science (NSS, 2017)
99% of our graduates were in work or further study within 6 months, 9% more than Computer Science graduates nationally. (HESA 2017)
95% of our graduates entered work at professional level, 15% more than Computer Science graduates nationally, (HESA 2017)
Department of Mathematics: Top in the UK for teaching quality for the subject of Mathematics. (The Good University Guide 2018, The Times & Sunday Times).
Department of Mathematics: 3rd in the UK for satisfaction with Teaching on the course for the subject of Mathematics and Statistics (NSS 2017)
93% of our graduates were in work or further study within 6 months, 1% more than Mathematical Science graduates nationally (HESA 2017)
Why study Data Science at Aberystwyth?
- This course is taught jointly by the Department of Computer Science which is 11th in UK for Research Intensity (Times Higher Education) and the Department of Mathematics. Mathematics has been taught at Aberystwyth University since 1872, making the university the first in Wales to teach this subject. Our established heritage alongside our strong research based teaching ensures an innovative and stimulating experience.
- You will be studying in a University that is ranked in the top 4 in the UK and 1st in Wales for student satisfaction (NSS, 2016).
- The combination of the modules delivered by the Mathematics and Computer Science department will give you a strong grounding in the underlying theory of Data Science as well as the practical skills to be able to apply that theory in real world data analytics.
- Upon successful completion of this degree, you will be able to design and carry out analysis of large sets of data and can draw implications from the results. This course will allow you to understand how data collected by companies can have a large effect on their operations.
Almost all of the Department of Computer Science Lecturers and Teaching Fellows are qualified to PhD level, and those who are not have considerable research or industrial experience. All new Lecturers and Teaching Fellows are required to obtain the PGCTHE, and hence are Senior Fellows or Fellows of the Higher Education Academy. The department also employs a number of part time demonstrators and tutors and some student demonstrators, who are selected from our undergraduate and postgraduate students. Research fellows and research assistants (mostly PhD qualified) may also be involved in delivering occasional teaching when it is appropriate.
All lecturers in the Department of Mathematics are qualified to PhD level and are research active. The majority have a postgraduate teaching qualification and new staff are required to complete the PGCTHE. The department also employs a number of part time tutors, with extensive teaching experience, and some student demonstrators, who are selected from our undergraduate and postgraduate students.
Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.
- Comparative Statistical Inference
- Graphs and Networks
- Probability and Stochastic Processes
- Quantum Information Theory 1
- Stochastic Models in Finance
- Topics in Biological Statistics
* Also available partially or entirely through the medium of Welsh
There is a shortage of skilled Data Scientists, which means that graduates in this area are in demand! One study estimates that around 200,000 Data Scientists will be needed.
Forbes Magazine labelled Data Scientist as “the sexiest job of the 21st century.”
The role of Data Scientist is finding and interpreting patterns in big data, and needs an excellent understanding of statistics and good computing skills.
Our graduates have found employment with employers such as:
- Plymouth Marine Laboratories
- Walt Disney
During your first year, you will have the opportunity to take part in a weekend of activities in Gregynog hall nearby Aberystwyth. This residential weekend will focus on:
- Group activities
- Communication skills
- Good time management
- Creative thinking
Your year in industry:
In the 2016 Highflyers report, 32% of graduate vacancies are taken by those who have previously worked for a company on a placement or/ a internship. You will develop confidence and gaining experience in the industry will stimulate your enthusiasm for the subject.
Completing a year in industry will allow you to:
- Apply the learning from your course to the work environment;
- Make industry contacts;
- Develop practical skills related to your area of study;
- Apply your practical skills and technical knowledge after returning to study;
- Enhance your CV and better prepare yourself for a job after graduating.
Students on this scheme should note that the department institute does not have automatic placements for every applicant. You will be responsible for finding securing the work experience, however, you will have the assistance of our institute Director of Employability. If you fail to find work experience you will be able to convert your course to the three-year version of your subject.
The department supports students seeking voluntary work, particularly in the teaching of mathematics in all sectors. Further information can be obtained from the department.
Teaching & Learning
What will I learn?
- In the first year, you will combine modules in programming and software with fundamental mathematics and statistics.
- In the second year you will extend your knowledge of statistics alongside data analysis and databases.
- In the third year you will choose, with the assistance of University staff, and undertake your work placement.
- In the final year you will bring your study together in a major individual project, covering a realistic data analysis problem, in addition to core and elective modules in statistics and computing.
How will I be taught?
- You will be taught by enthusiastic staff through a complementary set of teaching and learning methods and approaches, ranging from formal lectures, seminars and tutorials to practicals and individual and group-based project work.
- You will be assessed through a combination of coursework, practicals, projects, workshops and examinations.
You will be assigned a personal tutor throughout your degree course, who will help you with any problems or queries, whether these are academic-related or personal issues. You should feel free to contact them at any time for help and advice.
- You will also have the opportunity to complete a Personal Development Plan (PDP) at Aberystwyth. This is a structured process of self-appraisal, reflection, and planning, which will enable you to chart your personal, academic and professional development throughout your time at university. By recording your academic performance, and highlighting the skills you already have and those you will need for future employability, the PDP portfolio will equip you with the necessary tools to plan effectively, develop successful approaches to study, and consider your future career options and aspirations.
Typical Entry Requirements
A Levels ABC with A in Mathematics or BBB with B in Mathematics
GCSE requirements (grade C min):
English or Welsh, Mathematics
BTEC National Diploma:
DMM-DDM with A/B in A level Mathematics
28-30 points with 4-5 points in Mathematics at Higher Level
75% overall with 75% in Mathematics
Applicants are considered on their individual merits and offers can vary. For further information, please contact email@example.com