Big Data Technologies MSc

This course is in clearing

Overview

Course options

Select year

MSc

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1 year
  • Pound 10800 per year

MSc with Placement Year

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 10800 per year. Year 2 Industrial Placement Fee - £3500

MSc

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1 year
  • Pound 10800 per year

Big Data Technologies MSc, international applicant, full time

  • International Applicant
  • Full time, 1 year
  • Pound 15960 per year

MSc with Placement Year

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 10800 per year. Year 2 Industrial Placement Fee - £3500

Big Data Technologies MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 15960 per year. Year 2 Industrial Placement Fee - £3500

MSc

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1 year
  • Pound 11340 per year

Big Data Technologies MSc, home applicant, part time

  • Home Applicant
  • Part time, 2 years
  • Pound 1890 per 30 credit module

Big Data Technologies MSc, international applicant, full time

  • International Applicant
  • Full time, 1 year
  • Pound 16740 per year

MSc with Placement Year

Big Data Technologies MSc, home applicant, full time

  • Home Applicant
  • Full time, 1/2 years
  • Pound 11340 per year. Year 2 Industrial Placement Fee - £3,500

Big Data Technologies MSc, international applicant, full time

  • International Applicant
  • Full time, 1/2 years
  • Pound 16740 per year. Year 2 Industrial Placement Fee - £3500

What makes this course different

Industry-relevant skills

Study Big Data topics backed by contemporary research and delivered by the experts

In-depth practical training

Gain a thorough understanding of the operational, strategic and practical implementation of Big Data technologies in enterprises and industries

2nd modern university for Computing

Our computing courses are ranked 2nd in London and 3rd in the country overall amongst all modern universities (Guardian 2019).

Course modules

NOTE: Modules are subject to change. For those studying part time courses the modules may vary.

Download course specification

What we're researching

At the University of East London we are working on the some of the big issues that will define our future; from sustainable architecture and ethical AI, to health inequality and breaking down barriers in the creative industries.

Our students and academics are more critically engaged and socially conscious than ever before. Discover some of the positive changes our students, alumni and academics are making in the world.

Please visit our Research section to find out more.

Your future career

This course will open up fantastic new opportunities to develop your career and increase your earning potential, either within the industry or in academia.

Job roles

We specialise in a number of areas including Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems, and Security - in all these areas there is a shortage of qualified practitioners. 

Explore the different career options you can pursue with this degree and see the median salaries of the sector on our Career Coach portal.

How we support your career ambitions

We offer dedicated careers support, and further opportunities to thrive, such as volunteering and industry networking. Our courses are created in collaboration with employers and industry to ensure they accurately reflect the real-life practices of your future career and provide you with the essential skills needed. You can focus on building interpersonal skills through group work and benefit from our investment in the latest cutting-edge technologies and facilities.

Career Zone

Our dedicated and award-winning team provide you with careers and employability resources, including:

  • Online jobs board for internships, placements, graduate opportunities, flexible part-time work.
  • Mentoring programmes for insight with industry experts 
  • 1-2-1 career coaching services 
  • Careers workshops and employer events 
  • Learning pathways to gain new skills and industry insight

Mental Wealth programme

Our Professional Fitness and Mental Wealth programme which issues you with a Careers Passport to track the skills you’ve mastered. Some of these are externally validated by corporations like Amazon and Microsoft.

Our Mental Wealth programme

We are careers first

Our teaching methods and geographical location put us right up top

  • Enterprise and entrepreneurship support 
  • We are ranked 6th for graduate start-ups 
  • Networking and visits to leading organisations 
  • Support in starting a new business, freelancing and self-employment 
  • London on our doorstep

How you'll learn

Our specialist laboratories have everything you will need to develop a thorough critical understanding and gain valuable hands-on experience in a wide range of emerging technologies, such as the Cyber Forensic lab, the OpenStack Cloud platform, and multiple Big Data platforms.

Guided independent study

When not attending timetabled lectures or workshops, you will be expected to continue learning independently through self-study. This will typically involve skills development through online study, reading journal articles and books, working on individual and group projects and preparing coursework assignments and presentations. Your independent learning is supported by a range of excellent facilities including online resources, and specialist facilities, such as game labs, the library, the full Microsoft Office software, including MS Teams, and Moodle: our Virtual Learning Environment.

Academic support

Our academic support team provides help in a range of areas - including learning and disability support.

Dedicated personal tutor

Our dedicated and specialist staff will support you throughout the course and you will be assigned a personal tutor, a course tutor, and module tutors to oversee your progress. Dr Amin Karami, the programme leader, has a wide range of expertise in Big Data Analytics, Computational Intelligence, and Cyber Security in both industry and academia.

Workload

This programme consists of seven taught modules (Including a dissertation) and depending on the accumulated credits there are two awards: Postgraduate Certificate in Big Data Technologies (60 credits; two taught modules) and Postgraduate Diploma in Big Data Technologies (120 credits; four taught modules).

As a key element of this course, you will be asked to complete a dissertation on a cutting-edge Big Data topic of your choice. Whatever topic you choose, your dissertation will make an active contribution to the field, providing you with excellent experience for a future career in Big Data.

How you'll be assessed

You will be assessed using a mixture of practical coursework and a theory exam. Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations. 

The Research Dissertation is assessed on a final written report, a poster presentation and a practical component. You will receive detailed feedback on all assessment outlining strengths and areas of improvement.

Campus and facilities

Docklands Campus, London, E16 2RD