Big Data and Business Intelligence, MSc

Program Overview

The University of Greenwich's MSc Big Data and Business Intelligence program equips students with the skills to build and develop big data systems using modern engineering approaches. Combining data analytics, machine learning, and programming proficiency, the program trains graduates for careers in data science, big data development, and business intelligence. It is accredited by both BCS and the Engineering Council.

Program Outline

Big Data and Business Intelligence, MSc - University of Greenwich

Degree Overview:

This MSc program in Big Data and Business Intelligence is designed to equip students with the skills needed to contribute to the design and development of big data systems and distributed/internet-enabled decision support application software systems. It focuses on modern engineering methods, tools, and techniques, including data analytics, machine learning, business intelligence, and data mining. Students will also have the opportunity to learn programming languages such as Python and R. The program emphasizes a software engineering approach to building applications, helping students develop a life-cycle view of software development. Drawing on the University's research excellence in this area, this innovative course aims to provide students with a competitive advantage in the fast-growing field of big data and business intelligence.

Outline:

Full-time:

• Year 1:
• Compulsory Modules:
• MSc Project (60 credits)
• Big Data (15 credits)
• Advanced Database Technologies (15 credits)
• Applied Machine Learning (15 credits)
• Programming Fundamentals for Data Science (15 credits)
• Graph and Modern Databases (15 credits)
• Data Warehousing and Business Intelligence (15 credits)
• Essential Professional and Academic Skills for Masters Students
• Optional Modules (Choose 15 credits):
• Software Tools and Techniques (15 credits)
• User Centred Web Engineering (15 credits)
• Clouds, Grids and Virtualisation (15 credits)
• Optional Modules (Choose 15 credits):
• Systems Modelling (15 credits)
• Data Visualisation (15 credits)

Part-time:

• Year 1:
• Compulsory Modules:
• Big Data (15 credits)
• Applied Machine Learning (15 credits)
• Programming Fundamentals for Data Science (15 credits)
• Data Warehousing and Business Intelligence (15 credits)
• Essential Professional and Academic Skills for Masters Students
• Year 2:
• Compulsory Modules:
• MSc Project (60 credits)
• Advanced Database Technologies (15 credits)
• Graph and Modern Databases (15 credits)
• Optional Modules (Choose 15 credits):
• Software Tools and Techniques (15 credits)
• User Centred Web Engineering (15 credits)
• Clouds, Grids and Virtualisation (15 credits)
• Optional Modules (Choose 15 credits):
• Systems Modelling (15 credits)
• Data Visualisation (15 credits)

Assessment:

The program utilizes a combination of coursework, examinations, and a project for assessment. Some modules may also include practice assessments, presentations, demonstrations, and reports to help students monitor their progress and make continual improvement. Feedback on assignments is provided within 15 working days.

Teaching:

Teaching methods include a combination of lectures, tutorials, and practical work in labs. Students can discuss and develop their understanding of topics covered in lectures in smaller group sessions and apply this knowledge in practice in specialized computer laboratories. Teaching hours may fall between 9am and 9pm, depending on elective courses and tutorials. Lectures are usually attended by larger groups, while seminars/tutorials are conducted in smaller groups. The teaching team includes academics and practitioners with experience in various aspects of Big Data systems development and Artificial Intelligence. The majority of the team holds a teaching qualification.

Careers:

Graduates from the MSc Big Data and Business Intelligence course are equipped for employment in industry, commerce, or research with proficiency in the key theoretical and practical areas of big data systems development. The Employability and Careers Service provides support for students preparing to apply for placements and graduate roles, including CV clinics, mock interviews, and employability skills workshops.

• Students can join a range of student societies, including the Computer and Technology Society, Gre Cyber Sec, Forensic Science Society, and Games Development Society.

• Home/international fees 2024/25: £11,000 / £18,150
• Part-time fees are £1,850 per 30 credits for home students and £3,025 per 30 credits for international students.