Research Methods in Cyber Security and Data Governance

As the world is going through unprecedented times due to the coronavirus pandemic, more and more industries are expanding online. From businesses to banking, almost each and every sector has adopted digitalization. The adoption of digitalization has led to an increase in people using cloud drives or other online data storage platforms. These data are sensitive and confidential in nature. In the way to make our lives less complex and hassle-free by storing data online, we are giving invitations to cyber threats. The rising cyber-attacks have presented an opportunity for skilled professionals with proficiency in Cyber Security and Data Governance.

Wondering how to grab this opportunity? Pursuing MSc in cyber security and Data Governance gives you an upper hand making yourself more employable in the global labor market. Additionally, ambitious professionals develop skills to meet the ever-changing demands of the contemporary digital world.

What are the Research Methods in Cyber Security and Data Governance?

The world has witnessed several majors cyberattacks such as Alteryx data leak,  Friend Finder, Canva, and Heartland payment systems. Germany is no exception in these infamous cyberattacks that witnessed the loss of critical data of millions of people. To avoid cyber threats and keep our possessions safe from cyber attackers, some research methods are being used to ensure cybersecurity and data governance.

  • Machine Learning- Research method in Cyber Security and Data Governance

Machine Learning (ML) plays a crucial role in cybersecurity. It uses computational algorithms, mathematical techniques, and statistics to identify a pattern and uncover correlations in Big Data. Machine Learning simplifies complex data into tables, charts, or usable models. With the help of Machine Learning, professionals predict cyber threats in advance through patterns and trends. Machine Learning also allows professionals to detect real-time cybercrimes like ransomware, phishing, malware, trojans, SQL injection, Denial of Service, and attacks on IoT (Internet of Things) devices.

Machine Learning uses regression to predict cyber threats or fraud detection. Tech giants like Google, Accenture, Oracle, IBM, Amazon, and Netflix are using Machine Learning as a research method in cybersecurity and data governance. These products and service-based companies use Machine Learning to enhance their consumer experience by identifying and removing malware from the products. Machine Learning has brought a dramatic change in cybersecurity research methods.

If you are thinking of earning a professional degree in the area, pursuing MSc in Cyber Security and Data Governance will help you gain advanced technical skills and theoretical knowledge.

Machine Learning and Cybersecurity

AI and machine learning (ML) have become crucial information security technology because they can quickly analyze millions of events, identify various types of threats, ranging from malware that exploits zero-day vulnerabilities to identify risky behaviors that can lead to phishing or malicious code download. Over time, these systems are learning to recognize new forms of assaults from the past. Compliance history builds profiles on persons, assets, and networks which enable AI to identify violations from established standards and respond to them.

MSc in Cyber Security and Data Governance: Course Overview

Master of Science in Cyber Security and Data Governance is a one-year full-time postgraduate program focusing on equipping students with professional skills to analyze the difficulties of managing data and cybersecurity. As the course is industry-focused, it helps students learn about the tools to cope with data thefts and cyber-attacks and help businesses grow.

Enrolling in the program can offer you a rewarding career in the top national and multinational companies. Apply now!

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