Data Science BScUCAS Code: DS51|Duration: 3|Full Time|Hope Park|UCAS Campus Code: L46
Work placement opportunities|International students can apply|Study Abroad opportunities
ABOUT THE COURSE
Please note: this course is only available for 2022/23 entry
Recent advances in computational power, machine intelligence and the huge growth in sources of data has led to the development of a relatively new area of Data Science. Almost every communication or interaction that takes place involves a digital interface, whether this is a computer, a laptop, a cell phone, a smartcard, a camera or a sensor. All of the information from these interactions is stored as data, which can be mined to make better decisions, better systems, and better research. This course has a specific focus on areas such as Big Data, Numerical Analysis, Cloud Computing, Statistics & Statistical Programming, Artificial Intelligence, Internet of Things, Mobile Computing and High-Performance Computing.
Teaching on this degree is structured into lectures, where all students are taught together, seminars of smaller groups of around 15-20 students, and tutorials which typically have no more than 10 students.
During your first year of study, there are approximately 12 teaching hours each week, which reduces to approximately 10 teaching hours in your second and third years. On top of teaching hours, you are also expected to spend a number of hours studying independently each week, as well as studying in groups to prepare for any group assessments that you may have.
ASSESSMENT AND FEEDBACK
During your degree, there are a variety of assessment types to ensure you are given a range of opportunities to demonstrate your knowledge, skills and understanding of the academic and professional components of the degree. These include written exams, portfolios of tasks and activities, and practical coursework.
In your final year, there is also a dissertation or extended research project to complete. You will be given written feedback on your assessments, and you will have the opportunity to discuss this with your tutor in more detail.
The first two years are used to teach the fundamentals of mathematics, statistics, and computer science that are needed for data science. Typical topics will be Linear Algebra, programming (C, Java, R, Matlab), computational methods, networks, database technology. In the third year, there will be topics focused on Data Science and related areas, such as Statistical Modelling, neural networks, data structures and high-performance computing, to name a few.
- Mathematical Thinking: Logic, proofs, numbers, set theory
- Complex Numbers
- Differential Equations
- Linear Algebra
- programming in various languages such as C and Python
- computational methods
- Operating systems
- Assembly language
- Database technology
- Multivariable Calculus
- Further Linear Algebra
- Number Theory with applications to Coding Theory
- Differential Geometry
- Further Statistics
- R programming
- Graph Theory & Discrete Mathematics
- Software development
Topics such as:
- Statistical Modelling
- Numerical Analysis
- Machine Learning and AI
- High Performance Computing
- Computer Vision
- Cloud Computing
- Game Technology
- Big Data
- Natural Language Processing
During the August/September admissions period we are able to offer some flexibility in our entry requirements for courses that still have vacancies.
We are also offering a Foundation Year on many of our courses for students who have the ability and enthusiasm to study for a degree, but do not yet have the qualification level to enter directly onto our degree programmes.
Please e-mail us to discuss the options available to you: firstname.lastname@example.org
There is a large and increasing skills gap in the data science industry, demand for workers with specialist data skills like data scientists and data engineers has more than tripled over the previous five years. According to the Tech Partnership, the UK sector skills council for information technology, 96% of organisations reported a skills gap, and 85% of hard-to- fill positions are difficult to recruit to because of a lack of specialist skills, with big data analytics identified as a key skills gap. A degree in Data Science will equip you with the skills needed to work in areas of industry that deal with large datasets. You will learn not only how to extract and analyse data, but how to interpret that data from the analysis done. These are skills that are in demand in many areas of industry and the world in general.
The Service and Leadership Award (SALA) is offered as an extra-curricular programme involving service-based experiences, development of leadership potential and equipping you for a career in a rapidly changing world. It enhances your degree, it is something which is complimentary but different and which has a distinct ‘value-added’ component. Find out more on our Service and Leadership Award page.
As part of your degree, you can choose to spend either a semester or a full year of study at one of our partner universities as part of our Study Abroad programme. Find out more on our Study Abroad page.
The tuition fees for the 2021/22 academic year are £9,250 for full-time undergraduate courses.
If you are a student from the Isle of Man or the Channel Islands, your tuition fees will also be £9,250.
The University reserves the right to increase Home and EU Undergraduate and PGCE tuition fees in line with any inflationary or other increase authorised by the Secretary of State for future years of study.
Students would benefit from their own personal laptop or PC.
We have a range of scholarships to help with the cost of your studies. Visit our scholarships page to find out more.
INTERNATIONAL TUITION FEES
The International Tuition fees for 2021/22 are £11,400.
Visit our International fees page for more information.
This degree is only available to study as a Single Honours.