Data Science is an exciting new discipline that integrates computer science and statistics, which helps enable us to gain valuable insights that are needed in modern organisations. The Computer and Data Science degree course is designed to equip you with the cutting-edge skills required to satisfy the global demand for Data Scientist roles and thus build a rewarding career. You’ll gain a well-rounded education in Computer and Data Science, whilst developing your teamwork and software development skills. When you graduate you’ll be able to design software by applying mathematical and scientific principles, enabling you to thrive in the IT industry. You’ll cover all aspects of data science, ranging from data acquisition, integration, storage, analysis and visualization of data. You’ll also learn about data mining, statistical analysis, and machine learning by working collaboratively with academics and businesses, applying practice-based skills to real-life case studies and projects. What's covered in the course? BSc Computer and Data Science shares a common first year with the BSc Computer Science course. The first year covers fundamental concepts, such as algorithms and data structures, while also nurturing your creativity. In your second year, you will study four Computer Science modules and two Data Science specific modules, namely Introduction to Data Science and Data Visualisation. In the third year, with the exception of one Computer Science module, the remaining modules are Data Science specific. You will broaden your understanding of data science by studying specialised subjects like artificial intelligence and machine learning, modern data stores, data mining and data warehousing. In addition, you will complete an individual project in order to demonstrate your technical skills and general employability in preparation for your career. The individual project simulates typical workplace tasks that require knowledge in a specific area of data science. With emphasis on computer lab-based practical work and project delivery, this course will provide you with ample opportunity to acquire both the technical and transferable skills desired by industry. Extra support sessions in mathematics will be offered to students which will be led by a specialist mathematics tutor. Underpinned by an extensive range of staff knowledge and skills, the course seeks to develop you into a confident independent and team problem solver who is willing to take on new challenges and experiences. You will be able to build an online portfolio for personal and professional development using software such as Mahara or GitHub. We focus on employability so our course encourages and enables collaborative activity, engagement with work placements, projects and international exchanges. Various activities have been built into the course to promote employability such as innovation fest, mid-semester employability week and the mini project during level 4 induction week. You will have the opportunity to take a sandwich placement year between your second and third year. This is something that is highly recommended, as it will give you an invaluable opportunity to put your skills into practice, try out a potential career path and get relevant workplace experience that is valued by so many employers. The course is also part of the Erasmus scheme, which allows you to study abroad within the EU for a semester, normally during the second year of the course.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
- Course code:
- Institution code:
- Campus name:
- Millennium Point Campus
- Campus code:
Points of entry
The following entry points are available for this course:
- Year 1
English language requirements
|IELTS (Academic)||6||with no less than 5.5 in any level|
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Fees and funding
|Northern Ireland||£9250||Year 1|