MSc Big Data Analytics

This programme focuses on applying AI theory to real-world problems using the University's specialist computing facilities. You will develop practical skills in machine learning and intelligent systems using industry-standard software and high-performance computing resources. This hands-on approach is delivered through:

• Specialist AI and Robotics Labs: Access to BCU's AI and Big Data Lab and Robotics Laboratory, equipped with high-specification workstations and robotic systems for developing and testing intelligent applications.

• Industry-Standard Software: Practical work with machine learning frameworks including TensorFlow and PyTorch, plus programming in Python and data analysis tools.

• Substantial Individual Project: A major final project where you apply AI techniques to a substantial real-world challenge, developing a complete intelligent system or solution.

• High-Performance Computing: Access to BCU's High-Performance Computing cluster for training complex models and processing large datasets.

Graduates of the MSc Big Data Analytics at Birmingham City University develop expertise in data mining, big data management, and advanced statistics, positioning them for roles such as Data Scientist, Data Analyst, Data Warehouse Consultant, and Data Security Specialist. The program blends theoretical study with practical skills and offers a professional placement option to enhance employability.​

• BCU’s Careers and Employability Service provides tailored support including career coaching, job fairs, networking events, CV workshops, and a 20-week professional placement to build real-world experience.​

• Employment outcomes are strong, with graduates finding roles in data-driven fields and typical salaries ranging from £28,000 to £45,000 depending on experience and sector.​

• The university maintains partnerships with major companies like Hewlett-Packard, BT, Capgemini, Cisco, and IBM, offering students access to live projects, mentorship, and industry insights.​

• The course aligns with industry standards and provides access to leading analytics tools, supporting long-term career development in a rapidly evolving field.​

• Graduates demonstrate skills in modelling complex data, delivering actionable insights, and driving innovation across sectors such as IT, finance, healthcare, and marketing.​

Further Academic Progression:
Graduates may progress to PhD research, specialized certifications in analytics and data science, or research and leadership roles within data-driven organizations to further their careers.