MSc Data Science and Big Data Analytics

Entry requirements

Normal entry requirements for full time and part time will be one of:

• An honours degree with a 2:2 classification in any subject area
• Academic qualifications in other subject areas or at a lower level than honours degree but supported by a maturity of experience at a professional level in a relevant specialist area
• Equivalent qualifications of another overseas country which are deemed satisfactory by the program team

Months of entry

September

Course content

This course aims to develop graduates who are experts in the field of data science. The course covers a wide range of topics, including machine learning techniques, implementation and evaluation of data science approaches, tools, and techniques, analytical aspects of big data, finding patterns in data, making meaningful data-driven conclusions.

You will:

• Participate in discussions, share insights, and collaborate on research projects
• Engage in hands-on, real-world case studies and industry-relevant projects, allowing you to apply your knowledge to real-world scenarios
• Develop a mindset focused on research and innovation
• Learn how to use various models, methods, tools and techniques to convert data into information
• Be taught by leading research-active professionals, on hand throughout the course to support your learning with their knowledge and expertise
• Work in a collaborative learning environment
• Benefit from connections with industry partners through guest lectures, workshops, and industry projects, providing you with networking opportunities and insights into current industry practices

Key course features

• This course will equip you with necessary technical skills to navigate and manipulate big data sets
• We have developed this course to ensure that you are equipped with cutting-edge knowledge, recognising the current and predicted future of the field
• This course will allow you to develop strong communication and problem-solving skills, allowing you to communicate your findings to a variety of audiences
• During this course, you will gain critical thinking skills, enabling you to analyse complex data problems
• This course will instil understanding of ethical considerations and responsible data handling practices, ensuring you are equipped to address ethical challenges and privacy concerns
• This course promotes a mindset of continuous learning and professional development, enabling you to stay updated with evolving trends and technologies in data science and big data analytics

Information for international students

This course is open to international students, for information about the university’s entry requirements for EU/international students, please visit our international section.

Fees and funding

You do not have to pay your tuition fees upfront.

The fees you pay and the support available will depend on a number of different factors. Full information can be found on our fees & finance pages. You will also find information about what your fees include in the fee FAQs.

All fees are subject to any changes in government policy, view our postgraduate fees.