BSc Data Science and Analytics (Including Foundation Year)
Bachelor's degree
In Colchester
Description
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Type
Bachelor's degree
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Location
Colchester
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Duration
4 Years
About the course
Our BSc Data Science and Analytics (including foundation year) is open to Home, EU and international students
It will be suitable for you if your academic qualifications do not yet meet our entrance requirements for the three-year version of this course and you want a programme that increases your subject knowledge as well as improves your English language and academic skills
This four-year course includes a foundation year (Year Zero), followed by a further three years of study
During your Year Zero, you study four academic subjects relevant to your chosen course as well as a compulsory English language and academic skills module
You are an Essex student from day one, a member of our global community based at the most internationally diverse campus university in the UK
After successful completion of Year Zero in our International Academy, you progress to complete your course with the Department of Computer Science and Electronic Engineering
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
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
Facilities
Location
Start date
Start date
Reviews
Subjects
- Engineering
- English Language
- English
- Statistics
- Mathematics
- International
- Project
- Programming
- GCSE Mathematics
- Skills and Training
Course programme
Studying at Essex is about discovering yourself, so your course combines compulsory and optional modules to make sure you gain key knowledge in the discipline, while having as much freedom as possible to explore your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.
For many of our courses you’ll have a wide range of optional modules to choose from – those listed in this example structure are just a selection of those available. The opportunity to take optional modules will depend on the number of core modules within any year of the course. In many instances, the flexibility to take optional modules increases as you progress through the course.
Our Programme Specification gives more detail about the structure available to our current first-year students, including details of all optional modules.
Please note that depending on your entry grades you will take either Mathematics for Data Science or Linear Mathematics in your first year, but not both.
Year 0
Computers and Electronics
Mathematics and Statistics
Academic Skills
Computer Programming
Year 1
Professional Development
Discrete Mathematics
Statistics I
Introduction to Programming
Object-Oriented Programming
Introduction to Databases
Web Development
Mathematics for Data Science (optional)
Linear Mathematics (optional)
Year 2
Group Project & Industrial Practice
Databases and Information Retrieval
Artificial Intelligence
Statistics II
Introduction to Quantitative Management
Software Engineering (optional)
Application Programming (optional)
Data Structures and Algorithms (optional)
Final year
Modelling Experimental Data (optional)
Statistical Methods (optional)
Stochastic Processes (optional)
Applied Statistics (optional)
Bayesian Computational Statistics (optional)
Combinatorial Optimisation (optional)
Large Scale Software Systems and Extreme Programming (optional)
Natural Language Engineering (optional)
Advanced Programming (optional)
Individual Project (optional)
Teaching
Our classes are run in small groups, so you receive a lot of individual attention
Courses are taught by a combination of lectures, laboratory work, assignments, and individual and group project activities
Group work
A significant amount of practical lab work will need to be undertaken for written assignments and as part of your learning
Assessment
Within our International Academy, your assessed coursework will generally consist of essays, reports, in-class tests, individual or group oral presentations
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Additional information
BSc Data Science and Analytics (Including Foundation Year)