|Study location||United Kingdom, Colchester Campus|
|Type||Bachelor courses, full-time|
|Nominal duration||3 years|
|Tuition fee||To be confirmed|
High school / secondary education (or higher)
The entry qualification documents are accepted in any language
At least 1 reference(s) must be provided.
Harvard Business Review recently described the job of Data Scientist as “the sexiest job of the 21st century”. Data science is about doing some detective work and carrying out the investigations needed to inform important decisions and to predict new trends. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.
At Essex, we help you to understand how utilising the speed and processing-power of computers can assist in using data to make better decisions. You discover the new methods and the smart, unusual questions needed to make sense of both numerical and textual data. Your course balances solid theory with practical application through exploring topics including:
- Computer science and programming
- Databases and mathematical skills
- Ethical issues around the use and processing of data
- Specialist skills in the areas of big data, data analytics and data science
You don’t need to know any computer programming before you begin the course, and as you study a module on the mathematics required for data science, you don’t need an A-level in mathematics either.
A successful career in data science requires you to possess truly interdisciplinary knowledge, so we ensure that you graduate with a wide-ranging yet specialised set of skills in this area. You are taught mainly within our School of Computer Science and Electronic Engineering, but also benefit from input from our Department of Mathematical Sciences, Essex Business School, and our International Academy.
Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.
Introduction to Programming
Introduction to Databases
Mathematics for Data Science (optional)
Linear Mathematics (optional)
Group Project & Industrial Practice
Databases and Information Retrieval
Introduction to Quantitative Management
Software Engineering (optional)
Application Programming (optional)
Data Structures and Algorithms (optional)
Modelling Experimental Data (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
Applied Statistics (optional)
Bayesian Computational Statistics (optional)
Combinatorial Optimisation (optional)
Distributed Computing Systems (optional)
Large Scale Software Systems and Extreme Programming (optional)
Natural Language Engineering (optional)
Advanced Programming (optional)
Individual Project (optional)
Our graduates in data science have been very successful in finding employment in the public sector, consulting, technology, retail, and utilities, while a number have gone on to postgraduate study or research.
Our recent graduates have gone on to work for a wide range of high-profile companies including:
Royal Bank of Scotland
Force India F1
Our School has a large pool of external contacts, ranging from companies providing robots for the media industry, through vehicle diagnostics, to the transforming of unstructured data to cloud-based multidimensional data cubes, who work with us and our students to provide advice, placements and eventually graduate opportunities.
We are currently NOT ACCEPTING applications from NON-EU countries, except Georgia and Serbia.