MSc Big Data Science and Technology
Bradford, United Kingdom
DURATION
1 up to 2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
GBP 24,180 / per year *
STUDY FORMAT
On-Campus
* international / home: GBP 9,462 | part-time: home: GBP 4,732
Introduction
Develop the skills you need for a career in this fast-emerging field of data science.
This program will deepen your understanding of advanced software development, systems for big data analytics, statistical data analysis, data mining, data privacy and security, data visualization, and exploration.
It is an interdisciplinary program, 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.
All of our computer science students are automatically enrolled as student members of the British Computer Society (BCS).
Professional Accreditation
Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
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Admissions
Curriculum
What you will study
All module information is for 2023 entry and is subject to change.
Modules
Core
- Software Development
- Big Data Systems and Analytics
- Big Data Visualisation
- MSc Group Project
- Advanced Machine Learning
- Dissertation
Option
- Risk Assessment and Management
- Cyber-Physical Systems Security
Learning 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 Opportunities
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.
Discussing options with specialist advisers helps to clarify plans by exploring options and refining job-hunting skills. In most of our programmes, Career Development Advisers directly input 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.
Program Tuition Fee
Scholarships and Funding
Every year we award numerous non-repayable scholarships to UK, EU, and international students on the basis of academic excellence, personal circumstances, or economic hardship.