You are viewing this course for September start 2024
The BSc Data Science with integrated year in industry degree at Aberystwyth University combines mathematical, statistical, and computational approaches to equip you with the essential skills you will need to make sense of vast amounts of data and forge a successful career in this arena.
Data science is entrenched in many aspects of modern society, and as the world generates increasing amounts of information about scientific research or our online shopping habits and social media usage, there is a rapidly growing global demand for people who can analyse and interpret such ‘Big’ Data. Data science is a stimulating area of study with strong employability prospects in a field which is currently experiencing a shortage of suitably qualified graduates.
Experts from our Departments of Mathematics and Computer Science will train you in programming and database design, data modelling, probability and estimation, statistical techniques and methods for testing software systems. A wide range of optional modules throughout the course enables you to focus your interests in particular areas or maintain a breadth of study. On graduation you will be well-positioned for a career in a range of industries which demand quantitative analysis or to pursue further study.
This four-year course includes an integrated year in industry, enabling you to gain the valuable experience that employers look for, giving you a head-start in the competitive job market on graduation.
Why study Data Science at Aberystwyth?
- This course is taught jointly by the Department of Computer Science 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.
- The combination of the modules delivered by the Department of Computer Science and the Department of Mathematics 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 are qualified to PhD level, and those who are not have considerable research or industrial experience. All new lecturers 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.
Modules September start - 2024
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.
|Further Algebra and Calculus *
|Introduction to Computer Infrastructure
|Introduction to Programming *
|Mathematical Analysis *
|Programming Using an Object-Oriented Language *
|Algorithm Design and Data Structures *
|Distributions and Estimation
|Introduction to Numerical Analysis and its applications *
|Linear Algebra *
|Modelling Persistent Data *
|Software Engineering *
|Agile Development and Testing
|Linear Statistical Models
|Comparative Statistical Inference
|Graphs and Networks
|Probability and Stochastic Processes
|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 in the future.
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 and 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.
As a student here, you will be able to take advantage of the various opportunities that exist such as AberWorks, AberForward, YES and Go Wales.
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
UCAS Tariff 120 - 104
A Levels BBB-BCC to include B in Mathematics
GCSE requirements (minimum grade C/4):
English or Welsh and Mathematics
BTEC National Diploma:
DDM-DMM with B in A level Mathematics
30-28 with 5 points in Mathematics at Higher Level
75%-65% overall with 7 in Mathematics
English Language Requirements:
See our Undergraduate English Language Requirements for this course. Pre-sessional English Programmes are also available for students who do not meet our English Language Requirements.
Country Specific Entry Requirements:
International students whose qualification is not listed on this page, can check our Country Specific Entry Requirements for further information.
The University welcomes undergraduate applications from students studying the Access to Higher Education Diploma or T-level qualifications, provided that relevant subject content and learning outcomes are met. We are not able to accept Access to Higher Education Diplomas or T-levels as a general qualification for every undergraduate degree course.
Our inclusive admissions policy values breadth as well as depth of study. Applicants are selected on their own individual merits and offers can vary. If you would like to check the eligibility of your qualifications before submitting an application, please contact the Undergraduate Admissions Office for advice and guidance.