Master in Data Science & Big Data Analytics
This programme is designed by experts in their field for students with a passion for Data Science.
Online open days:
Data Science is a fast-growing sector within the workplace successfully adding value to businesses by using statistics and a clear understanding to make better decisions. A growing number of companies are now hiring data scientists to analyse data and use the information to make predictions and minimise risks to the organisation.
This programme is designed by experts in their field for students with a passion for Data Science. The module delivery will have an innovative approach that will include group discussions, workshops and guest speakers to enrich, enhance and develop the overall teaching and learning experience.
The primary focus of the programme is on the application and interpretation of modern data analysis techniques of known value in today’s professional world, both in the private and public sectors. As part of the course, you will receive tuition on industry standard software and hardware specific to the programme. You will also be given the opportunity to work on live projects with industry innovators, and guest speakers from the industry will give you a clear insight into the roles available.
Dr Arif Gazi, Business School lecturer
Dr Arif Gazi, Business School lecturer
Trip to Frankfurt (Germany)
Frankfurt is among the world’s largest data hubs of its kind. In Europe, only Amsterdam and London are similarly important data hubs. More than 700 national and international networks meet in Frankfurt to observe their Internet traffic. During the programme, you will visit the city and learn about data traffic and hubs. Entertainment is also a part of the trip as well as conferences and workshops.
Students’ careers are one of our main priorities which is why we have created a career programme called ‘Impact Mission’ with our partner organisations.
The mission will give you the opportunity to make a positive impact within an organisation or a community by doing a four-week project related to CSR. At the end of your placement, you will have to write a 2,000 word report.
This will enable students to take part in a short period of professional experience, with a business or community and to gain credit for their achievements. It is expected that students will work for 160 hours which should be recorded clearly in their portfolio.
If you are a mature applicant, you will be considered for entry if you can demonstrate a minimum of 2 years of relevant work experience, and have A Levels/IB or equivalent.
Non-native speakers must provide proof of their proficiency in English. We require an IETLS score of at least 6.0/B2 equivalent in TOEFL. Alternatively, we can provide you with an English Language Level Test to confirm your level.
Career in data science
Upon completion of the course, you will be well equipped to work in some of the fastest-growing sectors or Data Science and Big Data Industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors. Notably in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business, and social science.
You will be eligible to work in a multitude of areas where data-driven and business decision-making are required such as:
We offer the possibility to follow all of our Master’s programmes on a part-time basis. The length of each programme is extended to 18 months which allows more flexibility for the students.
We may consider candidates from a non-traditional academic background, on the basis of relevant work experience (minimum 2 years). After a review of your application and an interview, we will be able to confirm your eligibility for our programme.
We offer a variety of bursaries, each with a unique eligibility criteria. Candidates who submit an application on time and receive an offer for our programmes can be considered for King Stage bursaries. Please visit our financial support page for more details. Students can also apply for scholarships directly on external websites.