Data Science (with an industrial placement)
University of SussexA-Level Entry
ABB
About this course
Our society is built on data. There’s an increasing demand for people with skills in data analysis, programming and statistics. This course is for you if you want to become proficient in handling data, using computational and statistical methods to solve real-world data-intensive problems.
Sussex is home to Sussex Artificial Intelligence, one of our Centres of Excellence, and the Data-Intensive Science Centre (DISCUS). You’ll learn from experts:
Your teaching is based on our leading research. During your studies, you’ll explore the relationship between modern data science and statistics. You’ll:
An academic adviser will guide you throughout your degree. You’ll have opportunities to engage with potential employers and to apply for a placement to gain experience working in industry. When you graduate, you’ll have the skills, knowledge and confidence to progress into roles such as data analyst, data engineer, business data analyst, database administrator, data scientist and software engineer.
Location
Study on our beautiful, green campus on the edge of the South Downs National Park and just minutes from the vibrant seaside city of Brighton & Hove. We’re near to Gatwick airport and just over an hour from London.
About the University of Sussex
Our courses, research, culture and campus aim to stimulate, excite and challenge. From scientific discovery to global policy, from student welfare to career development, Sussex innovates and takes a lead. And today, in every part of society and across the world, you'll find someone from Sussex making an original and valuable contribution.
Entry Requirements
Career Prospects
Graduates from this course typically go into the following occupations:
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Course Details
- Qualification
- Bachelor of Science (with Honours) - BSc (Hons)
- Study Mode
- Full-time
- Duration
- 4 Years
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Brighton
- Scheme
- Undergraduate
- Subjects
- Computer science, Mathematics and statistics