Big Data Science MSc

Program Overview

The Big Data Science MSc at Queen Mary University of London is a one-year full-time or two-year part-time program that equips students with the skills and knowledge necessary for careers in big data science and analytics. The program focuses on developing students' skills in data analysis, machine learning, and artificial intelligence, as well as their understanding of the ethical and societal implications of big data. Graduates of the program are prepared for a variety of careers in big data science and analytics, including data scientist, machine learning engineer, big data analyst, AI specialist, and research scientist.

Program Outline

Big Data Science MSc

Degree Overview:

The Big Data Science MSc at Queen Mary University of London is a one-year full-time or two-year part-time program designed to prepare students for careers in big data science and analytics. The program focuses on developing students' skills in data analysis, machine learning, and artificial intelligence, as well as their understanding of the ethical and societal implications of big data.

Objectives:

The objectives of the Big Data Science MSc are to:

• Equip students with the skills and knowledge necessary to succeed in careers in big data science and analytics.

Outline:

The Big Data Science MSc consists of five compulsory modules, three elective modules, a research project, and a professional development course. The compulsory modules cover the following topics:

• Statistical data modelling
• Data visualisation and prediction
• Machine learning
• Big data processing
• Domain-specific techniques for applying data science
• Computer vision
• Social media analysis
• Intelligent sensing and internet of things
The elective modules allow students to tailor the program to their specific interests and career goals. Some of the available elective modules include:
• Cloud computing
• Natural language processing
• Risk and decision making for data science and AI
• Data science for business
The research project is a significant component of the program, allowing students to apply their learning to a real-world problem. Students will work on a research project under the supervision of a faculty member.

Assessment:

The Big Data Science MSc is assessed through a combination of coursework, exams, and a research project. The coursework for each module typically consists of a mix of assignments, projects, and presentations. The exams are usually written exams that assess students' understanding of the material covered in the lectures and readings. The research project is assessed by a written report and an oral presentation.

Teaching:

The Big Data Science MSc is taught by a team of experienced researchers and industry practitioners. The program uses a variety of teaching methods, including lectures, seminars, tutorials, and practical workshops. Students are also encouraged to participate in discussions and group work.

Other:

The Big Data Science MSc is accredited by the BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT professional.

Careers:

The Big Data Science MSc prepares students for a variety of careers in big data science and analytics. Graduates of the program have gone on to work in a variety of industries, including finance, technology, healthcare, and government. Some of the typical job titles for graduates of the program include:

• Data Scientist
• Machine Learning Engineer
• Big Data Analyst
• AI Specialist
• Research Scientist
• The program is designed for students with a background in computer science, mathematics, statistics, or a related field.
• The program is offered on a full-time or part-time basis.
• The full-time program is one year long, and the part-time program is two years long.
• The program is taught at the Queen Mary University of London campus in Mile End, London.
• The program is open to students from all over the world.
It is important to note that the program content and structure may change over time.

Full-time studySeptember 2024 | 1 yearHome: £12,650Overseas: £31,850EU/EEA/Swiss studentsConditional depositHome: £2000Overseas: £2000Information about depositsPart-time studySeptember 2024 | 2 yearsHome: £6,350Overseas: £15,950EU/EEA/Swiss studentsThe course fee is charged per annum for 2 years.