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Take your skills in computing, computer engineering or electronics and apply them to postgraduate-level study in data engineering, data-science/analytics and IoT. Progress as a data analyst, systems architect or IT/data engineer.
Embark on a career in a leading-edge field and master the exciting and challenging world of big data!
Big data techniques are revolutionising how organisations and industries acquire and analyse data, offering valuable insights into how people live, work, play, travel, shop and exercise. These insights are valuable to marketers, researchers, designers, city planners, app developers, educators and many more.
GCU London's MSc in Big Data Technologies helps you build the fundamental knowledge and practical skills for success in this fast-growing field. You'll develop competence in a range of emerging technologies: big data, cloud computing, data analytics, artificial intelligence and machine learning, the internet of things and data visualisation. You'll learn from the experts; GCU is internationally recognised for the strength of its research in these exciting subjects, driving 21st-century innovation.
With both full-time and part-time study available, the course is ideal for someone with a background in computer science, software engineering, web technologies or computer engineering who wants to enhance or update their skills. Those with backgrounds in mathematics and electronics are also well suited.
The up-to-date curriculum keeps a career-focused approach, so you'll gain valuable skills you can immediately put to work in the industry.
Your expertise in big data will enable you to provide new insights into human behaviour and psychology, which can help us build stronger and happier societies across the globe. Your work could shape smart, sustainable cities; remove barriers to education; help people make healthier choices day-to-day; improve public health and so much more. All meaningful ways of contributing to the Common Good.
Entry requirements
English language requirements
Type of university | Public |
Total enrolment | 300 |
Campus setting | Urban |
Academic calendar | Semester based |
Intake Sessions | September and January |
Modes of program | Full- time, part-time and distance learning |
Financial aid | Loans and scholarships |
Total faculty | 1,600 |
Official website | https://www.gculondon.ac.uk/ |
International students applying to the college are highly recommended to have a clear understanding of the budget required to study in UK. A rough estimation of the cost of attendance of pursuing education at GCU London is given below:
Program Level | Total tuition fees in GBP |
---|---|
MSc Courses | £13500 |
MBA Programs | £14500-£17300 |
Items | Expense |
---|---|
Accommodation | £800 |
Bills | £80 |
Food/household goods | £200 |
Local transport | £85 |
Social activities | £100 |
Total | £1265 |
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
Student Visa in USA | F1 Visa for USA allows you study permit in USA in full time academic courses. Any accredited school, college, university, academic institute, seminary, or conservatory in USA must accept you beforehand to apply for F1 visa in USA. Know More |
Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |