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Big Data Science and Technology

MSc
Duration: 1 year
Attendance mode: Full-time
Award: MSc
Suitable for international students
Start date: September
Faculty of Engineering & Informatics
Apply Download course booklet

Overview

Develop the skills you need for a career in this fast emerging field of data science.

This programme will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualisation and exploration.

It is an interdisciplinary programme, designed for students with a first degree in subjects such as:

  • Computer Science
  • Electrical Engineering
  • Mathematics
  • Physics
  • Economics

Our teaching is strongly linked to research within the Faculty of Engineering and Informatics, which includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.

You can tailor your studies to particular areas of interest or career aspirations through our range of optional modules, and in the final dissertation (which is a significant piece of project work).

On graduation you’ll be ready and able to develop solutions to challenges in big data analytics and big data systems.

We also offer a two-year, part-time version of the programme.

Why Bradford?

Employability is a key focus of the programme here at Bradford. We collaborate with industry partners through our Industry Advisory Board; their input shapes the curriculum, ensuring you gain the skills employers in this sector value and / or are in shortage. You’ll have the opportunity to contribute live industry projects as part of the programme.

Our facilities are cutting-edge, and include specialised labs such as our new Internet of Things lab and our state-of-the-art Ethical Hacking lab. Our Computing Enterprise Centre offers students the opportunity to work on real-world projects using powerful hardware and industry standard software, under the supervision of subject experts.

Our staff are research active and embed outcomes of their world leading research into the design of our courses, ensuring that you are equipped not just for the job market today, but are well prepared for the future.

Entry requirements

2:2 or above in computer science, computer engineering, informatics or other computer-related subjects from an approved degree-awarding body

Candidates who do not fulfil the normal entry requirements but have extensive industrial experience in a related area are considered on an individual basis.

English language requirements:

Minimum IELTS 6.0 or equivalent.

If you do not meet the IELTS requirement, you can take a University of Bradford pre-sessional English course. See the Language Centre for more details.

Modules

The modules for this course can be found in the latest programme specification.

Find more information on our module descriptors page.

Module Title

Type

Stage

Software Development

C

1

Big Data Systems and Analytics

C

1

Information Theory and Data Communication

O

1

Security, Privacy and Data Protection

O

1

Mobile Applications

O

1

Statistical Data Analysis

C

2

Data Mining

C

2

Concurrent and Distributed Systems

O

2

Data visualization

O

2

Dissertation

C

3

Reading lists

All reading lists can be found here.

Learning activities and assessment

You'll learn through a mixture of formal lectures, practical lab sessions, tutorials and seminars.

Some modules involve supervised group work, usually with an assigned academic staff member for each group.

Most modules are related to research in the school.

All modules require students to undertake independent study, supported through distance learning technologies such as our Virtual Learning Environment. Reading lists and suggested resources for independent study provide further direction for students to undertake this work, and regular contact hours and informal feedback throughout the courses provide opportunities for further guidance for learners.

Assessments for modules mostly take the form of practical coursework, lab tests and written exams, with all forms being well represented across all modules.

Career support and prospects

Career support

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

Career prospects

Big data is a major area for future growth and investment. As the global big data industry continues to grow year after year we continue to grow our programme, and continue to produce future leaders in an exciting and rewarding field.

Study Support

We have a commitment to strong pastoral care for all of our students, which includes a Personal Tutor for all students, regular contact hours for tutor groups and our supportive student service teams who are always ready to help with any questions and provide the advice that you need.

In addition to standard study support through taught sessions, our Virtual Learning Environment allows students to access resources, participate in group work and submit work from anywhere in the world 24/7.

University central services are rich with support teams to assist students with every aspect of their journey through our degree programmes. From our Career and Employability Service, through our strong Students' Union, to our professional and efficient Student Finance team, there are always friendly faces ready to support you and provide you with the answers that you need.

Research

There is much research taking place at the Faculty of Engineering and Informatics related to this Master's programme. This includes aspects of applied computing, theoretical computer science, and communications and networks. Statistical analysis of data across various disciplines is a central theme of our research.

Teaching informed by research is at the core of this programme. Graduates leave us well prepared to pursue academic research, or industry based research and development positions.

Facilities

Our facilities are impressive, with several laboratories filled with dual-screen, dual boot (Windows and Linux) systems packed with industry-standard software.

Our specialised labs, such as the Ethical Hacking lab and the Internet of Things lab, allow students to build their skills within these key areas of growth, in a structured way through taught modules.

We provide a range of online facilities to support independent learning, including our Virtual Learning Environment which gives you access to learning materials and collaborative learning tools 24/7, anywhere in the world. We also provide virtual server technology using in house hardware to allow students to use our operating systems remotely.

Fees, Finance and Scholarships

Tuition fees

2017/18:

  • Home/EU: £7,750
  • International: £17,600

Tuition fees are subject to review for students starting their course in subsequent years. See our Fees and Financial Support website for more details.

Financial support

Professor Rae Earnshaw Scholarship in Big Data

One full-fee scholarship is available for Home/EU self-funded Dig Data Science and Technology MSc students starting in September 2017. Find out more and apply on our Scholarships website - the deadline is 10 September 2017.

Postgraduate loan

You may be eligible to apply for the government's new Postgraduate Loan of up to £10,000 to put towards your fees and living costs. Find out more on our Fees and Financial Support website.

How do I find out more?

Steps to Postgraduate Study

Find out more about studying at a postgraduate level on the official, independent website Steps to Postgraduate Study (link opens in new window).

How to apply

The easiest way to apply is online.

This will help us process your application more quickly and allow you to submit your supporting documents electronically.

If you are unable to apply online, please email admissions@bradford.ac.uk to request a paper application form.

We will also need the following supporting documents, along with any other information specified on the course page:

  • Degree certificates/transcripts
  • Research proposal (if required)
  • Two references (including one academic reference)
  • Evidence of English language level (if required)
  • A copy of your passport

Once you have applied you will have access to the University's Applicant Portal, where you can track the status of your application.

You should also start thinking about how you plan to fund your postgraduate study — you may need to apply for loans or grants at this stage.

International students

If you applying from outside the UK and require additional support you may apply through your country representative.

They can help you at every stage and communicate with the University on your behalf. They often provide additional services to ensure your smooth arrival to the UK such as visa application support and assistance with your travel arrangements.

Further information is available on our International Office website.

This is the current course information. Modules and course details may change, subject to the University's programme approval, monitoring and review procedures. The University reserves the right to alter or withdraw courses, services and facilities as described on our website without notice and to amend Ordinances, Regulations, fees and charges at any time. Students should enquire as to the up-to-date position when applying for their course of study.