MSc Big Data Technologies

 The ΜSc Big Data Technologies is addressed to graduates and professionals who wish to continue and expand the range of their knowledge and their professional prospects in Big Data, security management, Cloud, Machine Learning fields.

Required documentation:

• Undergraduate degree from Greek or foreign universities in Computer Science, Engineering, Mathematics or other similar fields
• Reference letters
• ID card
• Diploma/certificate in the English language
• Highschool diploma
• Other degrees (if any)
• Application to enrol at Metropolitan College

The evaluation of the above supporting documents is completed during the personal interview of the candidates.

 The MSc in Big Data Technologies master’s degree is ideal for those who wish to pursue a career as Big Data scientists or experts, offering business-relevant knowledge for extracting and managing massive amounts of data.

Given that the demand for data-driven systems in all sectors is increasing year-by-year, this postgraduate programme is designed to create professionals expertly trained to model huge amounts of data.

Thus, it provides students with in-depth knowledge and advanced skills that enable them to actively contribute to the development and design of systems for Big Data analytics.

Courses modules cover specialized areas such as the fundamental statistical methods (e.g. data mining and machine learning), the technological tools (e.g. Cloud, Hadoop, Spark), and the security measures required to undertake large-scale data analysis.

Modules

• Big Data Analytics
• Machine Learning on Big Data
• Security Management
• IT and Internet Law
• Cloud Computing
• Mental Wealth; Professional Life (Dissertation)

 The MSc Big Data Technologies degree at Metropolitan College specializes in a number of areas where there is a shortage of qualified practitioners. Consequently, it offers graduates fantastic new opportunities to develop their career and earning potential, either in the industry or in academic context.

The programme’s graduates are completely qualified to work in a number of areas including:

• Big Data Analytics
• Business Analytics
• Machine Learning
• Hadoop and Spark technologies
• Cloud Systems
• Security