A Master of Science (MSc) in Data Analytics is a postgraduate program that equips students with advanced skills in analyzing and interpreting complex data. It focuses on statistical modeling, data mining, machine learning, and data visualization to support data-driven decision-making. Students learn to work with large datasets, uncover patterns, and generate actionable insights for businesses and organizations. The program emphasizes both theoretical foundations and practical applications through projects, case studies, and real-world datasets. Graduates gain expertise in tools and technologies such as Python, R, SQL, and data visualization software. The degree prepares students for careers in data analysis, business intelligence, and analytics consulting. It also builds a strong foundation for further research or specialized certifications in emerging data technologies. Overall, an MSc in Data Analytics enables professionals to transform data into strategic business solutions.

Different Universities offer various Specialisations Like:

• MSc Data Analytics for Business (Long Track) (RNCP Certified)
• MSc in Data and Business Analytics (Two Years) (RNCP Certified)
• MSc Data Analytics for Business (Short Track) (RNCP Certified)
• MSc in Data and Business Analytics (One Year) (RNCP Certified)
• MSc in International Management – Data Analytics (Non-RNCP Certified)

Level:
Postgraduate

Credits:
60 – 120

Intake:
September, February

Eligibility Requirements:

• 4-year Bachelor’s Degree in relevant field with minimum 60% (Mandatory) from a recognised university or 3-year Bachelor’s degree with a minimum of 3 year professional experience. Eligible candidates will be invited for an online interview.
• MOI Accepted: If your previous education was conducted in English, you are exempt from English language tests like IELTS