Data Science (with an industrial placement year) BSc (Hons) 48 months Undergraduate Programme By University of Sussex |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

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:

  • 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.



Your teaching is based on our leading research. During your studies, you’ll explore the relationship between modern data science and statistics. 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 an industrial placement. The optional year in industry is a great opportunity for you to gain real-world experience of working in the data science sector and related fields.



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

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:

  • 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.



Your teaching is based on our leading research. During your studies, you’ll explore the relationship between modern data science and statistics. 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 an industrial placement. The optional year in industry is a great opportunity for you to gain real-world experience of working in the data science sector and related fields.



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

80+
59+
169+
32+
6+
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.

4 Years
Sep

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