36 monthsProgramme duration
23,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
- With your academic adviser’s ongoing support, graduate with the skills for professions ranging from data analysis to software engineering.
- Build in-demand skills for a digital society that depends on them, from data handling to real-world data-intensive problems.
- Benefit from Sussex’s Centres of Excellence, collaborate with experts changing the field and expand your skill-set with our interdisciplinary focus.
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 as well as 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:
- our mathematicians’ research is making world-changing impact – from modelling and controlling infectious diseases, to predicting floods and the behaviour of queues and social networks
- our computer scientists lead national and international research projects on machine learning, natural language processing and artificial intelligence.
During your studies, you’ll explore the relationship between modern data science, statistics, and the computational techniques that drive data analysis and modelling. You’ll:
- gain a thorough grounding in theories and techniques
- develop critical knowledge in programming and statistics, as well as analytical and modelling skills
- use industry-standard software such as Python and R
- learn how to handle and analyse large sets of data
- work with our researchers for your final-year project.
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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
- With your academic adviser’s ongoing support, graduate with the skills for professions ranging from data analysis to software engineering.
- Build in-demand skills for a digital society that depends on them, from data handling to real-world data-intensive problems.
- Benefit from Sussex’s Centres of Excellence, collaborate with experts changing the field and expand your skill-set with our interdisciplinary focus.
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 as well as 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:
- our mathematicians’ research is making world-changing impact – from modelling and controlling infectious diseases, to predicting floods and the behaviour of queues and social networks
- our computer scientists lead national and international research projects on machine learning, natural language processing and artificial intelligence.
During your studies, you’ll explore the relationship between modern data science, statistics, and the computational techniques that drive data analysis and modelling. You’ll:
- gain a thorough grounding in theories and techniques
- develop critical knowledge in programming and statistics, as well as analytical and modelling skills
- use industry-standard software such as Python and R
- learn how to handle and analyse large sets of data
- work with our researchers for your final-year project.
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.
Admission Requirements
85+
80+
59+
6+
169+
32+
4+
26+
1300+
Higher Levels must include Mathematics, with a grade of 5.
For entry, either Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at Higher Level will be accepted.
For entry, either Mathematics: Analysis and Approaches or Mathematics: Applications and Interpretation at Higher Level will be accepted.
3 Years
Sep
Tuition fees
Domestic
9,535 GBP
International
23,500 GBP
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