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Fees and Funding

Here's the fees and funding information for each year of this course

Overview

This programme is ideal if you want to pursue a career as a Big Data scientist or expert, deriving valuable insights and business-relevant knowledge from massive amounts of data.

The programme provides you with the in-depth knowledge and advanced skills that you will need to actively contribute to the development and design of systems for Big Data analytics. There is a real need in the job market for people who are expertly trained to model huge amounts of data, with demand for data-driven systems in all sectors increasing year-on-year.

During this course, you will cover the fundamental statistical methods (e.g. data mining and machine learning), technological tools (e.g. Cloud, Hadoop, Spark), and security measures required to undertake large-scale data analysis.

What makes this course different

Students at a computer screen.

Industry-relevant skills

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

two students looking at a tablet computer

In-depth practical training

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

Silver cup

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).

WHAT YOU'LL LEARN

Knowledge

  • Demonstrate a comprehensive and critical understanding of all the concepts and activities for large-scale data analytics
  • Demonstrate expertise in Big Data Analytics and its business and research applications
  • A depth knowledge and understanding of Big Data Analytics projects, Machine Leaning techniques for extracting big insights and unique knowledge from Big Data stores
  • Have a critical understanding of complex computing application areas and apply skills in advanced topics to find resolution, such as cloud computing and security aspects.

Thinking skills

  • Analyse critically and systematically a Big Data problem through identifying key requirements, alternative solutions and evaluation methods
  • Critical thinking and evidential reasoning; 
  • Exercise appropriate engineering judgement in the decision-making process
  • Conduct a dissertation applying rigorous and critical analysis approaches to identify project goals, propose and evaluate different research strategies, and finally generate a useful and effective output
  • Reflect on your professional and research practice.

Subject-Based Practical skills

  • Design & develop large-scale systems considering security aspects
  • Use diverse Big Data resources and advanced tools and techniques to convert Big Data to Big Insights in batch and real-time format
  • Identify, critically analyse and execute a solution for a cutting-edge research/industrial computing problem
  • Produce structured and coherent written reports to document the findings, evaluations, and the proposed solution for a Big Data problem

Skills for life and work (general skills)

  • Demonstrate an ability to study independently and effectively; and to be able to present and convey complex technical information to other professionals and the public;
  • Develop interpersonal skills and be able to contribute and work effectively in a team;
  • Consider the ethical, social and professional issues of a Big Data problem and solution;
  • Integrate research, and articulate research results into professional practice.

DOWNLOAD COURSE SPECIFICATIONS

MODULES

  • Core Modules
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    Mental Wealth; Professional Life (Dissertation)

    Conduct a practical project of a Master level quality related to the scope of the selected MSc programme and develop skills appropriate for a senior computing professional. You will consider the ethical, legal, social, and professional issues, and the dissertation will require appropriate research, analysis, design, implementation, quality assurance, evaluation and project management. You will reflect on the success of the strategies that you employed to further develop your reflective skills, self-awareness, 'life style' and self-care approaches and where necessary improve your approaches.

    Optional Modules
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    Security Management

    This module will provide the core theoretical background necessary for ensuring the security of information systems. The module aims to extend your knowledge of systems and risks management and to identify the problems associated with security management and expand  your ability to better manage security vulnerabilities and integrate security management with the rest of IT management. It provides practical experience of auditing information systems for adequate information security based on industry specific standards.

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    IT & Internet Law

    This module aims to develop an understanding of legal issues raised by the increased use of communication networks, such as the Internet. In particular the module will focus on the differences and contradictions between the requirements of national, supra-national and global legislative codes.

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 Cyber Forensic lab, the OpenStack Cloud platform, and multiple Big Data platforms.

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.

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

Docklands Campus, Docklands Campus, London, E16 2RD

WHO TEACHES THIS COURSE

The teaching team includes qualified academics, practitioners and industry experts as guest speakers. Full details of the academics will be provided in the student handbook and module guides.

Amin Karami

Dr Amin Karami is the programme leader for MSc Big Data Technologies and the chair of PhD reviews at UEL.

See full profile

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

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. 

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

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