Big Data Analytics Birmingham City University

Overview

The MSc Big Data Analytics course is designed to immerse students in the vital areas of data mining, big data management, and advanced statistical methods. With the exponential growth of data in the modern world, the demand for proficient data analysts is surging. This programme aims to provide students with the skills necessary to harness big data tools and methodologies effectively, thereby driving innovation and growth across various sectors.

Birmingham City University is renowned for its commitment to practice-based learning and has a diverse student body of over 31,000 individuals from more than 100 countries. The university's strong industry partnerships ensure that students receive relevant, real-world experience, enhancing their employability upon graduation. The course is delivered in state-of-the-art facilities, including the £70 million STEAMhouse, which is dedicated to technology and innovation.

• International Students: £17,710 per year
• Domestic Students: £9,710 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The MSc Big Data Analytics programme encompasses a variety of modules designed to equip students with both theoretical knowledge and practical skills. The core modules include:

• Modern Optimisation
• Applied Statistics
• Advanced Databases
• Big Data Management
• Data Mining
• Web Social Media Analytics and Visualisation
• Individual Master’s Project

Students also have the option to undertake a Professional Placement, a 20-week credit-bearing experience aimed at enhancing employability skills and providing insights into the professional environment.

Graduates of the MSc Big Data Analytics programme can pursue various career paths in data science, data warehousing, consultancy, data security, and data administration. Alumni have found employment with prestigious companies such as Hewlett-Packard, BT, Capgemini, Cisco, and IBM, among others. The course's emphasis on practical skills and industry collaboration ensures that students are well-prepared to meet the challenges of the data-driven job market.