BSc Data Science and Analytics

Data is the lifeblood of our society. From medicine to government offices, and market research to the environment, the collection and analysis of data is crucial to understanding how to improve, create and guide products and services across the globe.

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.

Our BSc Data Science and Analytics (including foundation year) is open to Home and EU 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 Essex Pathways Department, you progress to complete your course with our Department of Mathematical Sciences.

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 structured and unstructured data.

Your course balances solid theory with practical application through exploring topics including:

• Mathematical skills
• Computer science and programming
• Statistics and operations research
• Artificial intelligence, databases and information retrieval
• 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. You are taught mainly within our Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering, but also benefit from input from our Essex Business School, and our Essex Pathways Department.

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.

Our expert staff

Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our staff are driven by creativity and imagination as well as technical excellence. We conduct research in areas such as explorative data analysis, classification and clustering, evolutionary computation, data visualisation and financial forecasting. Specialist staff working on data science and analytics include:

• Dr Luca Citi – machine learning, learning from biological signals and data (EEG, etc)
• Dr Hongsheng Dai – computational Bayesian statistics
• Professor Maria Fasli – machine learning, adaptation, semantic information extraction, ontologies, data exploration, recommendation technologies
• Professor Berthold Lausen – biostatistics, classification and clustering, data science education, event time data, machine learning, predictive modelling
• Professor Abdel Salhi – data mining, numerical analysis, optimisation
• Dr Spyros Vrontos – actuarial mathematics and actuarial modelling
• Dr Xinan Yang – approximate dynamic programming, Markov decision process

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

• Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
• We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
• We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
• Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.

Specialist facilities

By studying within our Essex Pathways Department for your foundation year, you will have access to all of the facilities that the University of Essex has to offer, as well as those provided by our department to support you:

• We provide computer labs for internet research; classrooms with access to PowerPoint facilities for student presentations; AV facilities for teaching and access to web-based learning materials
• Our new Student Services Hub will support you and provide information for all your needs as a student
• Our social space is stocked with hot magazines and newspapers, and provides an informal setting to meet with your lecturers, tutors and friends

Our School of Computer Science and Electronic Engineering also offers excellent on-campus facilities:

• We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
• All computers run either Windows 10 or are dual boot with Linux
• Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
• Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
• We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors.

Your future

Demand for skilled graduates in the areas of big data and data science is growing rapidly in both the public and private sector, and there is a predicted shortage of data scientists with the skills to understand and make commercial decisions based on the analysis of big data.

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:

• Aviva
• AXA
• BT
• Profusion
• EDS
• Mondaq
• IBM
• Royal Bank of Scotland
• Accenture
• Buck Consultants
• Google
• Force India F1

Our Schools have 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 also work with our University's Student Development Team to help you find out about further work experience, internships, placements, and voluntary opportunities.

“I knew I wanted to do data science after discovering that it was the perfect subject for people who enjoy both computing and maths. I decided to study at Essex because it was one of the few universities who offered a degree in data science; it was also one of the highest rated universities in the UK. I’m currently enjoying programming the most, purely because I love problem solving, but I’ve enjoyed all of the modules I have studied so far. All of my professors and lecturers are helpful – they devote a lot of their time to us as students.

“I want to travel once I have finished university and therefore work long-distance – which in today’s modern world is definitely possible! Essex partners with a lot of businesses and companies, and gives students opportunities to gain highly useful work experience through a placement year. I think studying at Essex will put me in a great place when I graduate.”

Andreas Loucas, BSc Data Science and Analytics student

UK entry requirements

UK and EU applicants:

All applications for degree courses with a foundation year (Year Zero) will be considered individually, whether you

• think you might not have the grades to enter the first year of a degree course;
• have non-traditional qualifications or experience (e.g. you haven’t studied A-levels or a BTEC);
• are returning to university after some time away from education; or
• are looking for more support during the transition into university study.

Standard offer:

Our standard offer is 72 UCAS tariff points from at least two full A-levels, or equivalent.

Examples of the above tariff may include:

• A-levels: DDD
• BTEC Level 3 Extended Diploma: MMP
• T-levels: Pass with E in core

For this course all applicants must also hold GCSE Maths and Science at grade C/4 or above (or equivalent). We may be able to consider a pass in Level 2 Functional Skills Maths where you cannot meet the requirements for Maths at GCSE level. However, you are advised to try to retake GCSE Mathematics if possible as this will better prepare you for university study and future employment.

If you are unsure whether you meet the entry criteria, please get in touch for advice.

Mature applicants and non-traditional academic backgrounds:

We welcome applications from mature students (over 21) and students with non-traditional academic backgrounds (might not have gone on from school to take level 3 qualifications). We will consider your educational and employment history, along with your personal statement and reference, to gain a rounded view of your suitability for the course.

You will still need to meet our GCSE requirements.

International applicants:

Essex Pathways Department is unable to accept applications from international students. Foundation pathways for international students are available at the University of Essex International College and are delivered and awarded by Kaplan, in partnership with the University of Essex. Successful completion will enable you to progress to the relevant degree course at the University of Essex.

English language requirements

English language requirements for applicants whose first language is not English: IELTS 5.5 overall. Specified component grades are also required for applicants who require a Tier 4 visa to study in the UK.

Other English language qualifications may be acceptable so please contact us for further details. If we accept the English component of an international qualification then it will be included in the information given about the academic levels required. Please note that date restrictions may apply to some English language qualifications

If you are an international student requiring a Tier 4 visa to study in the UK please see our immigration webpages for the latest Home Office guidance on English language qualifications.

If you do not meet our IELTS requirements then you may be able to complete a pre-sessional English pathway that enables you to start your course without retaking IELTS.

Additional Notes

Our Year 0 courses are only open to UK and EU applicants. If you’re an international student, but do not meet the English language or academic requirements for direct admission to your chosen degree, you could prepare and gain entry through a pathway course. Find out more about opportunities available to you at the University of Essex International College.

Course structure

We offer a flexible course structure with a mixture of core/compulsory modules, and optional modules chosen from lists.

Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field. The course content is therefore reviewed on an annual basis to ensure our courses remain up-to-date so modules listed are subject to change.

We understand that deciding where and what to study is a very important decision for you. We’ll make all reasonable efforts to provide you with the courses, services and facilities as described on our website. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our applicants and students know as soon as possible.

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

• In Year Zero, your assessed coursework will generally consist of essays, reports, in-class tests, individual or group oral presentations